Advanced Micro Devices, Inc. is a semiconductor company with three segments: Data Center, Client and Gaming, and Embedded. It offers AI accelerators, microprocessors, and GPUs, along with embedded processors, semi-custom SoC products, development services, data processing units, FPGAs, system on modules, AI network interface cards, and adaptive SoC products. Its brands include AMD Ryzen, AMD EPYC, AMD Radeon, AMD Instinct, Virtex, Kintex, Zynq, Versal, Alveo, and Pensando. The company was incorporated in 1969 and is headquartered in Santa Clara, California.
AMD Rumored to Target 2027 Gaming GPU as Nvidia May Wait Until 2028
Advanced Micro Devices is reportedly developing a next-generation gaming GPU for 2027 that would succeed the RX 9070 XT, according to hardware leaker Kepler_L2, while the same reports suggest Nvidia may not release its next-gen RTX portfolio until 2028. If that scheduling holds, AMD could field a new generation of gaming hardware while its larger rival sits between product cycles, though AMD is also said to lack its full next-gen lineup until 2027, with rumors that its flagship GPU and others could slip to 2028. Nvidia remains far ahead in gaming GPUs, holding 72.88% of users in the August 2026 Steam hardware poll versus AMD's 18.68%. AMD is also contending with higher component costs, and separate sources indicate it might raise GPU and CPU prices. On Wall Street, TipRanks shows 29 Buy ratings and six Holds with an average price target of $644.62, leaving open whether AMD can turn a possible one-year product lead into lasting market-share gains.
CleanSpark Signs $6.6 Billion AI Data Center Lease in Georgia
CleanSpark has signed a 20-year, $6.6 billion triple-net lease for its Sandersville, Georgia, site, a deal the company expects to generate $330 million in annual revenue. Chairman and CEO Matt Schultz said the site includes a fully energized 250-megawatt substation, that CleanSpark secured an additional 122 acres with community support, and that the tenant received short-term exclusivity for up to 885 additional megawatts in Texas, with the first data hall targeted for delivery in December 2027. The announcement came during an H.C. Wainwright panel where mining and AI infrastructure executives described a broad pivot from bitcoin operations toward AI colocation, cloud services and GPU-as-a-service. Core Scientific's Russell Cann said direct-liquid-cooled construction costs have climbed from roughly $4.5 million per megawatt for early projects to about $10 million to $10.5 million per megawatt for facilities turned on this year and $12 million to $13 million per megawatt for projects expected to start operating in 2027. Cann also said Core Scientific recently announced a roughly 500-megawatt agreement with AMD, with AMD holding rights to the next 2,000 megawatts across sites in Hunt County and Pecos, Texas, and Muskogee, Oklahoma, under a 15-year triple-net lease at $125 per megawatt or a modified gross structure at $145 per megawatt. Executives pushed back on AI bubble concerns, with Cann noting roughly 5 gigawatts of rack space is delivered annually against approximately 15 gigawatts of annual chip demand, while cautioning that many power requests may be duplicative or unsupported by actual transmission, substations or fuel supply.
Nebius Group Raises Nvidia GPU and AMD CPU Cloud Prices on Strong AI Demand
Nebius Group has raised prices for its Nvidia GPU and AMD CPU cloud services, citing surging enterprise interest in large-scale AI training and inference workloads. The higher rates apply to both Nvidia GPU instances and AMD CPU based compute bundles across the company's AI focused cloud offerings, with the price change taking effect on October 1. The company said the move reflects strong AI workloads filling its infrastructure and tight supply of high end chips such as Nvidia H100 and B300, and that steeper rates on GPUs and AMD EPYC Genoa CPUs help align customer bills with the cost of scarce compute capacity and large data center buildouts. Nebius Group builds full stack infrastructure for AI developers and enterprises across the US, the UK, and other markets, so the pricing directly shapes what customers pay to train and run models at scale. Investors will watch upcoming quarterly updates for the AI cloud revenue mix and Palantir related usage, since stable or growing GPU utilization at the new rates would show the higher pricing is being absorbed rather than pushing workloads to rival providers.
Bank of America Forecasts Semiconductor Market Nearly Doubling to $3.2 Trillion by 2030
Bank of America forecasts the global semiconductor market will nearly double to $3.2 trillion by 2030 from $1.7 trillion in 2026, citing AI infrastructure, memory and data-center demand that remains far stronger than recent fears suggest. Analysts led by Vivek Arya wrote that despite rising concerns about a potential AI infrastructure and investment slowdown, they see no signs of slowing in customer orders, long-term agreements, capacity commitments or semiconductor pricing. The bank pointed to Nvidia B200 rental pricing at $5.72 per hour, up consistently over the past two months and less than 10% below its March peak of roughly $6.10, while AMD has also indicated it is not seeing weakening customer orders. Within the total, memory is expected to remain the biggest growth engine, with sales rising to $1.8 trillion by 2030 from $937 billion in 2026, core semiconductors projected to increase to $1.35 trillion from $739 billion, server-related sales jumping to $848 billion from $359 billion, and wafer-fabrication-equipment spending more than doubling to $359.8 billion from $155.9 billion. BofA sees Nvidia and AMD as resilient compute plays, Marvell in networking, and Analog Devices and onsemi in analog, while Micron, Lam Research, Applied Materials and Intel could also outperform if sector momentum improves; the key risk is whether hyperscalers eventually slow AI capital spending.
Anthropic Commits $517 Billion to Compute, Boosting Nvidia, AMD, Broadcom, Alphabet and Amazon
Anthropic agreed to spend $517 billion on computing power over the 11 months through the end of August, according to The Information, far above the $180 billion in commitments it had previously disclosed. The spending is set to benefit Nvidia, whose GPUs remain the primary chips powering AI workloads and which could invest up to $10 billion in Anthropic as an anchor investor in its IPO. Advanced Micro Devices will invest up to $5 billion in Anthropic, which will buy AMD's Helios rack-scale system and deploy up to 2 gigawatts of AMD GPUs beginning in 2027. Anthropic is also set to become Broadcom's largest customer as it deploys Tensor Processing Units that Alphabet co-designed with Broadcom, with Broadcom saying Anthropic will deploy 1 gigawatt of Alphabet's Ironwood TPUs this year, 5 gigawatts of its TPU v8i in 2027 and another 10 gigawatts in 2028. Amazon, which owns around a 20% stake in Anthropic, has received more than $100 billion in AWS cloud commitments from the lab over the next decade.
Global chip stocks tumble after AI leaders call for slower development
Chipmaker stocks around the world fell sharply after several executives at major US artificial intelligence companies called for slowing the pace of AI development over safety concerns. Dario Amodei, CEO of Anthropic, was the first to make the call, before executives at OpenAI and xAI warned of similar risks. Nvidia shares fell 3.4%, Micron Technology dropped more than 5%, while Broadcom and AMD each fell more than 4%. The PHLX Semiconductor Index on the Philadelphia market plunged 5.9%. US markets closed lower, with the Dow Jones ending at 52,421.20, down 152.09 points, or 0.29%. The S&P 500 closed at 7,619.98, down 37.00 points, or 0.48%, and the Nasdaq closed at 26,186.41, down 146.62 points, or 0.56%. In Europe, the STOXX 600 closed at 635.99, down 3.11 points, or 0.49%, with technology stocks falling 2.1%, led by French chipmaker Soitec, which posted the index's biggest drop at 12.5%. Asian markets opened mostly lower, with Australia's S&P/ASX 200 falling the most in the region at 0.46%, followed by Japan's Nikkei down 0.47% and South Korea's KOSPI down 0.43%. Hong Kong's Hang Seng was the only index to edge higher against the regional trend.
MindWalk Holdings Corp. reported first quarter fiscal 2027 revenue of $3.8 million, up 21% from $3.2 million a year earlier, with gross margin expanding to 59% from 48%. The company said it has a binding commitment for a USD 30 million senior unsecured revolving credit facility at a fixed 7% rate, drawn as needed, which it said provides financial flexibility without issuing equity. Net loss from continuing operations widened to $6.1 million from $4.1 million, reflecting planned investment in commercial infrastructure, including a $1.9 million increase in sales and marketing expense. MindWalk said it is in active negotiations with multiple large pharmaceutical companies for enterprise deployments of its ReefIQ data platform, launched in June, and that roughly 80% of its current commercial funnel by value is now structured as platform partnerships rather than discrete fee-for-service projects. The company ended the quarter with $7.6 million in cash as of July 31, 2026, and said it validated a production deployment of OpenFold3 on AMD Instinct MI325X GPUs with engineering partners AMD and Vultr.
Cirrascale Launches Production Release of Enterprise AI Inference Platform
Cirrascale Cloud Services announced the production release of the Cirrascale Inference Platform, a complete software stack for enterprise-grade AI inference, at the AI Infra Summit in Santa Clara. The platform lets enterprises run open-source models, their own private models, and closed model ecosystems from a single serverless platform, including Google Gemini delivered on premises through Google Distributed Cloud and operated by Cirrascale. Its model and hardware selection layer automatically routes each request to the right model and runs it on the best available accelerator across NVIDIA, AMD, Tenstorrent, and Qualcomm with no code changes required to switch, and teams can fine-tune models on their own private data without that data leaving their environment. The platform includes a turnkey private chat experience connected to a company knowledge base, built-in controls to manage AI spend across teams, and governance guardrails for agentic workloads, aligned with HIPAA, SOC 2, and FedRAMP requirements where required. The Cirrascale Inference Platform is available now across Cirrascale's U.S. and international regions.
Piper Sandler Initiates AMD at Overweight With $600 Target
Piper Sandler analyst David O'Connor initiated coverage on Advanced Micro Devices with an Overweight rating and a $600 price target on September 9. O'Connor estimates AMD's revenue will grow at a 50% CAGR from fiscal 2026 through fiscal 2030, while earnings per share compound at 65%, reaching $53 by 2030. The $600 target is based on a 24x multiple of fiscal 2028 estimated earnings. The bull case rests on agentic AI lifting server CPU demand, with AMD's Venice portfolio and its Helios GPU ramp, which has signed anchor clients in OpenAI, Meta, and Anthropic. AMD reported second-quarter revenue of $11.5 billion, including $6.7 billion from data centers, up 107% year-over-year, though the year-ago quarter included an $800 million export-related inventory charge tied to U.S. restrictions on shipping the Instinct MI308 AI accelerator to China, which overstated the year-over-year margin comparison. Hedge fund sentiment strengthened in the second quarter of 2026, with 164 hedge funds holding stakes, up from 134 in the prior quarter.
Situational Awareness Fund Bets Big on AMD Options After Near-Collapse
Situational Awareness, the hedge fund formed by ex-OpenAI researcher Leopold Aschenbrenner, is buying call options on Advanced Micro Devices, Bloom Energy, CoreWeave, SK Hynix and SanDisk, returning to the strategy that nearly sank it earlier this year. The fund has bought hundreds of millions of dollars in option premiums, according to GuruFocus. Situational Awareness generated a 439% net return from the beginning of the year through June 30, briefly making it one of the best-performing large funds of 2026, but it was operating at around four times leverage when AI stocks turned in July, and its portfolio declined by about 67 percent, forcing it to sell off its AI assets. Citadel swooped in a day later to buy much of the public-equity holdings. The new stock picks span processors, cloud computing, memory and electricity, some of the main bottlenecks in the AI buildout.
HP Unveils ZBook Ultra G3a Mobile Workstation With AMD and Perplexity
HP Inc. announced the HP ZBook Ultra G3a, a 16-inch thin-and-light mobile workstation it describes as a personal AI factory for professionals, powered by AMD and enhanced by Perplexity. The system supports up to 300B-parameter large language models running locally, with up to 192GB of unified memory and 160GB dedicated to VRAM, and is built on up to an AMD Ryzen AI Max+ PRO 495 chip with a 55 TOPS NPU. Perplexity Computer comes preloaded, including supported integration for Autodesk Revit, and HP and Perplexity have co-developed task-based Skills available exclusively to HP customers. The workstation starts at 4.2 lbs. and 17.9 mm thin, and a new thermal design delivers up to 81.8% higher TDP, enabling up to 100W of performance. The HP ZBook Ultra G3a 16-inch is expected to be available in October 2026, with pricing to be provided closer to availability.
AMD Data Center Revenue Doubles to $6.72B as Intel Posts $2.1B Foundry Loss
AMD reported second-quarter 2026 Data Center revenue of $6.72 billion, up 107% year over year, while Intel's DCAI unit grew 59% to $6.26 billion but absorbed a $2.1 billion Foundry loss. AMD's Data Center segment, which more than doubled on EPYC and Instinct demand, was the standout as cloud and enterprise server sales each grew more than 70%, and CEO Lisa Su called it the fifth consecutive quarter of record server CPU revenue. Intel's DCAI growth was its strongest server growth on record, but a $12.53 billion non-cash charge tied to the CHIPS Act escrow drove a GAAP loss of $2.16 per share, even as non-GAAP EPS of $0.42 beat the $0.22 estimate. On the AI systems side, AMD's Helios rackscale platform pairs Venice CPUs with MI450 GPUs and has drawn commitments from Anthropic for up to 2 gigawatts of MI450 plus multi-generation deals with OpenAI and Meta. AMD guided third-quarter revenue to roughly $13 billion, up 41% year over year, and expects Data Center to more than double again in 2027, while Intel guided third-quarter revenue to $15.8 billion to $16.8 billion with non-GAAP EPS of $0.38. AMD's non-GAAP operating margin rose to 27% from 12%, and both stocks have already rallied sharply year to date, with AMD up 130.39% and Intel up 163.39%.
Nvidia Enters Full Production of Vera CPUs, Targets Intel and AMD Server Market
Nvidia has entered full production of its Vera family of CPUs, a move that positions the AI chip leader to challenge Intel and Advanced Micro Devices in the server CPU market. In its fiscal Q2 2027 report, Nvidia revealed that its Grace family of CPUs had already generated $5 billion in sales over the trailing 12-month period. The company projects that its data center CPU revenue will more than double from this fiscal year to the next fiscal year, with the rollout of its next-generation processors playing a huge role in the growth. Nvidia is pairing the Vera CPUs with its top-of-the-line Vera Rubin GPUs and also selling the hardware as a stand-alone product, and it says the Vera hardware delivers performance and efficiency that significantly exceed those of any other data center CPU in key areas. Nvidia is often projected to command more than 90% of the market for advanced GPUs used for AI training, with estimates of its share of the less computationally intensive inference category ranging between 60% and 75%.
Trump Rejects AI Slowdown Calls, Shifting Outlook for Nvidia and AMD
President Donald Trump rejected calls to slow frontier AI development on September 13, arguing the US must preserve its lead over China, a stance that directly affects NVIDIA Corporation and Advanced Micro Devices, Inc. because both sell computing systems whose demand could change if frontier labs stretch out model-development cycles. The political counterweight arrived just as investors were pricing the opposite risk: on September 14, Nvidia fell 3% and AMD slid 4.4% after industry leaders themselves pushed for a slowdown due to safety fears amid accelerating model capability gains. NVIDIA reported on August 26 that second-quarter Data Center revenue reached $89.0 billion, up 117% year over year, while Advanced Micro Devices reported on August 4 that Data Center revenue reached $6.7 billion, up 107%, with its agreements with OpenAI and Meta contemplating deployments of up to 6 gigawatts of AMD GPUs for each customer. Insider Monkey's database counted 285 hedge funds long Nvidia in Q2 2026, up from 275 in Q1, with Fisher Asset Management holding 90.94 million shares after increasing its position about 3%, while AMD attracted 164 funds, up from 134, and Marshall Wace reported 3.90 million shares, about 3% more sequentially. As of August 31, AMD had 41.71 million shares sold short, 2.57% of float, with 2.49 days to cover, leaving unresolved whether the companies buying the chips agree the race should keep accelerating.
AI pause calls sink Nvidia, AMD, Intel; OpenAI hints at IPO delay
Artificial intelligence stocks tumbled Monday after leaders of the AI revolution called for a coordinated slowdown in building more powerful AI systems. Over the weekend, Anthropic chief executive Dario Amodei published an essay titled "We Must Pace the Frontier," calling for an industry-wide effort to slow AI development, and executives at OpenAI, SpaceX and Microsoft echoed the concern. Semiconductor stocks bore the brunt: Nvidia fell 3% to $210.96, AMD lost 4% and Intel plunged 6%, while SoftBank Group, an OpenAI shareholder, plunged 11%. OpenAI Chief Executive Sam Altman told Fortune it was an "ill-advised moment" for an initial public offering and said the company won't list this year, and Microsoft published a "humanist" code of conduct pledging its models "will never resist human interruption, correction, or shutdown." Anthropic reportedly disclosed its second consecutive profitable quarter on Sunday as it prepares to go public, with second-quarter revenue surging past $11.5 billion, while Nvidia CEO Jensen Huang dismissed AI doomsday scenarios as totally unfounded and President Trump defended his administration's light-touch regulatory approach.
Intel Could Gain as AI Spending Shifts From Training to Inference
A September 14 selloff treated slower frontier AI development as bad news for chips, but Reuters Breakingviews argued that a moderation in giant model-training runs could redirect part of this year's roughly $1 trillion AI investment toward inference, where existing models answer queries and run agents. That shift would create a different contest for Intel and Nvidia, because inference does not erase GPUs but broadens the bill of materials. Intel's opportunity is the server CPU, since production AI applications need orchestration, memory, networking and general-purpose compute around accelerators, and Intel reported $6.3 billion of Data Center and AI revenue in its latest quarter, up 59% year over year. Execution remains the risk: Intel is spending heavily to rebuild manufacturing leadership and still generated negative adjusted free cash flow in its latest quarter, and inference growth helps only if Intel keeps enough share and margin against AMD, Arm-based CPUs and specialized accelerators. Nvidia remains the strongest counterargument to a simple rotation thesis, since its GPUs run both training and inference and CUDA plus newer inference-focused systems give it a path to monetize deployed AI even if frontier training slows, with the downside relative rather than existential. Insider Monkey's database counted 138 hedge funds holding Intel in Q2 2026, up from 112 in Q1, with AQR Capital Management owning 10,742,567 shares after trimming its position 7%, while Nvidia rose to 285 funds from 275 and Fisher Asset Management increased its stake 3% to 90,935,947 shares, filings that predate the September 14 safety-driven market reaction. Intel had 152,248,752 shares sold short on August 31, equal to 3.02% of float, with 1.69 days to cover.
AI Stocks Plunge, 10-Year Treasury Yield Tops 5%, Oil Surges Over 4%
Wall Street traded lower on Monday as AI-related shares tumbled after executives at leading U.S. AI companies called for a slower pace of development, with SoftBank falling as much as 13.2% in Japan, SK Hynix dropping 6.4%, Samsung Electronics declining 4%, and in the U.S. Nvidia slipping 2.4% premarket while Micron and AMD each fell 5% and Broadcom dropped 3.4%, following an essay Saturday by Anthropic CEO Dario Amodei arguing that progress on improving AI model capabilities should be slowed. Crude oil surged, with front-month Nymex crude jumping 4.3% to $104.37/bbl and Brent rising 4.5% to $109.32/bbl, after Persian Gulf countries called off a planned meeting with Iran on reopening the Strait of Hormuz and a Friday drone strike knocked out Saudi Arabia's East-West pipeline, which feeds the Red Sea port of Yanbu and moves 4M bbl/day; traders estimate the closure could cut off up to 4% of global oil supply, with Yanbu storage covering just 5-7 days of exports. The benchmark 10-Year Treasury yield reached 5% for the first time since October 23, 2023, adding 3 basis points Monday, while the 2-Year yield rose 4 basis points to about 4.66% and the 30-Year added 2 basis points to 5.37%. Kimberly-Clark is preparing possible asset sales to resolve European Union competition concerns over its proposed $40 billion acquisition of Kenvue, with the European Commission expected to notify the company of its concerns this week ahead of a preliminary review deadline on September 29.
AI Leaders Back Slowdown as Memory Chip Stocks Fall Hardest
AI hardware stocks sold off on Monday after top AI leaders called for a slowdown in model development, with memory names taking the worst of it. Micron Technology fell 5.82% and SanDisk dropped 6.14%, while Nvidia lost 2.49%, Broadcom 3.76% and Advanced Micro Devices 5.74%. Anthropic's Dario Amodei proposed a three-step plan on Saturday to temper how quickly AI companies improve model capabilities, arguing it could be done without sacrificing commercial advantage or the US lead, and Sam Altman and Elon Musk both said on X that they agreed. Altman separately ruled out an OpenAI IPO this year, telling Fortune a listing now would be ill-advised. Amodei named the risks as losing control of AI systems, misuse for cyberattacks and bioterrorism, and serious economic disruption, contrasting that with 2023, when a pause was first discussed and models could not yet manage significant deception, manipulation, cheating or cyberattacks.
Cerebras Expands AI Inference Push Against Nvidia and Alphabet
Cerebras Systems is expanding its technology roadmap and customer base to strengthen its position in the AI inference market, targeting coding, agentic AI, security and enterprise workloads as it competes with NVIDIA and Alphabet. Core cloud and other services revenues surged 287% year over year to $127.7 million in the second quarter of 2026. The company expects to double system speed annually over the next several years and increase throughput by more than 20 times over the next 18 months, while its disaggregated inference architecture with AMD combines Cerebras systems with AMD Helios racks to raise throughput by up to five times. Its collaboration with Amazon Web Services is expected to bring disaggregated inference to Amazon Bedrock in the first quarter of 2027, and Cerebras supports OpenAI's GPT-5.6 Sol at a speed that is 10 times faster, with first revenues from other hyperscalers expected around mid-2027. Cerebras signed six deals worth more than $30 million each in the second quarter and added customers such as Cognition, Lovable and Figma in AI coding, while Block, AlphaSense and GSK use its fast inference for agentic workflows and CrowdStrike represents a move into AI-powered cybersecurity. The company has more than 600 MW of data-center capacity live or contracted through the end of 2027, and manufacturing capacity is expected to rise more than tenfold in 2026, supported by secured TSMC wafer supply.
Fed Expected to Hike Rates as AI Fears and Iran War Rattle Markets
Pre-market futures fell Monday as AI concerns and the ongoing war in Iran weighed on sentiment, with the Dow down 184 points, the Nasdaq down 469 and the S&P 500 down 48 points. A former OpenAI and Anthropic employee warned of dangers to humanity from unregulated AI, sending Marvell Technologies and AMD down more than 6% in early trading while software makers CrowdStrike and ServiceNow rose. Oil prices climbed 4% to $104 per barrel on WTI and $109 per barrel on Brent crude, with $120 oil now seen as a real near-term possibility. The 10-year bond yield reached 4.983%, its highest since briefly touching 5% three years ago, while the 2-year stood at 4.647%. The Federal Open Market Committee meets Tuesday and Wednesday, with odds of a 25 basis point hike to 3.75-4.00% now around 80% following last week's Consumer Price Index, though Fed Chair Kevin Warsh faces pressure from President Trump to hold rates steady.
AI Stocks Slide Premarket as Executives Urge Slower Development
U.S. stock index futures fell sharply on Monday, with technology shares under pressure after several leading artificial intelligence executives called for a slower pace of AI development. By 05:52 ET, Dow futures had fallen 150 points, or 0.3%, S&P 500 futures had dropped 63 points, or 0.8%, and Nasdaq 100 futures had slumped 531 points, or 1.8%. Rumble shares surged as much as 28% in premarket trading after reports that Anthropic had agreed to a $13.7 billion computing contract with the company, a deal Rumble had disclosed in an August securities filing without identifying the customer. Anthropic CEO Dario Amodei called on AI companies to slow the advancement of model capabilities in an essay posted on X on Saturday, warning that increasingly capable AI agents could create significant economic damage if misused, and OpenAI CEO Sam Altman and xAI chief Elon Musk said they agree with his concerns. Nvidia fell more than 2% in premarket trading, while Meta and Amazon each dropped more than 1%, and chipmakers Intel, AMD and Marvell Technology fell nearly 6%, 5% and 6%, respectively, even as software names ServiceNow, Adobe and Workday rose about 3%, 2.5% and 2.5%. Scholar Rock shares surged 9.1% to $60.45 after the FDA approved ISEMBYLD, also known as apitegromab-mstn, as the first and only muscle-targeted treatment for spinal muscular atrophy in patients aged two and older receiving an SMN2-targeted therapy, ahead of the September 30, 2026 PDUFA deadline. Elmet Group shares jumped 30.8% after announcing a $450 million committed investment from the U.S. Department of War to accelerate domestic tungsten manufacturing, while Olema Pharmaceuticals slid 15.1% to $8.68 after AstraZeneca said its Phase 3 SERENA-4 trial of camizestrant failed to show a statistically significant improvement in progression-free survival, and MARA Holdings fell 5.7% to $11.30 after JPMorgan double-downgraded the bitcoin miner to Underweight from Neutral and cut its price target to $11 from $13.
AMD and Intel's Shared AI Instructions Win Initial GCC Compiler Support
A September 2 GCC commit added initial support for AMD and Intel's shared AI Compute Extensions, or ACE, bringing the two chipmakers' common x86 software strategy into a widely used compiler's development code. The immediate event is narrow: compiler infrastructure, followed by instruction-support commits, and it is not evidence that compatible processors have shipped or that GCC 17 is a finished release. The x86 Ecosystem Advisory Group's April whitepaper describes a common matrix-acceleration architecture shaped by both companies, and a shared instruction interface could reduce the effort needed to target matrix multiplication, which is central to many AI workloads, across future processors. For Advanced Micro Devices the bull case is an easier route for compatible future CPUs into AI-related workloads, while the risk is that a shared standard also improves Intel's appeal; for Intel the opportunity is making future x86 products more useful to developers, though standardization cannot resolve manufacturing execution, delivery and competitive pricing. Insider Monkey's tracked worksheet sample counted 164 AMD holders in Q2 2026 versus 134 in Q1, and 138 Intel holders versus 112, with the samples covering 1,006 and 1,022 managers, and at June 30 Marshall Wace held 3,898,210 AMD shares while Philippe Laffont's Coatue held 12,084,027 Intel shares. MarketBeat's August 14 settlement data put short interest at 2.47% of AMD's float and 2.69% of Intel's.
Anthropic Locks In $517 Billion Compute Commitment Ahead of IPO
Anthropic has lined up a $517 billion compute commitment ahead of its confidential IPO, according to a September 6, 2026 report from The Information, up from the roughly $180 billion in server-leasing spend the company previously told investors it expected through 2029. The figure aggregates contracted and reported deals stretching mostly across the next decade rather than a single contract, and actual outlays will hinge on how much capacity is delivered and utilized. Amazon and Alphabet together account for roughly 11 GW and more than $300 billion over about 10 years, Microsoft committed at least $30 billion for roughly 1 GW of Azure capacity, and the SpaceX/Colossus deal runs up to about $45 billion, with neoclouds including CoreWeave, Lambda, Nscale, and Fluidstack also inside the total. AMD captured a 2-gigawatt MI450 Series deal in Helios racks, complementing rather than replacing Anthropic's NVIDIA footprint. NVIDIA reported Q2 FY2027 revenue of $96.22 billion, up 105.85% year over year, with Data Center at $89.02 billion, up 117%, and guided Q3 to $108.0 billion plus or minus 2%, while CFO Colette Kress said the company expects revenue growth of approximately 70% in fiscal 2028.
TSMC August Revenue Hits Record NT$514.81 Billion, Up 53.3%
Taiwan Semiconductor Manufacturing Company reported record August revenue of NT$514.81 billion, up 53.3% from a year earlier and 10.1% sequentially, with January-through-August revenue up 39.3%. The result signals strong advanced semiconductor demand as Advanced Micro Devices scales its data-center CPUs and AI accelerators, which depend on leading-edge foundry capacity. Barron's noted concerns over reports that TSMC could raise chip prices by as much as 10% next year, with AMD among the customers exposed to higher foundry costs. Hedge fund ownership of both stocks rose in the second quarter, with 249 funds holding TSM, up from 234, and AMD ownership climbing to 164 funds from 134, while short interest stood near 0.6% for TSM and roughly 2.5% for AMD as of August 14.
TSMC August Revenue Jumps 53.3% as 2027 Price Hike Talk Weighs on Chip Stocks
Taiwan Semiconductor Manufacturing Company reported August revenue of NT$514.81 billion, up 53.3% year over year and 10.1% from July, with first-eight-month 2026 revenue climbing 39.3% to NT$3.39 trillion. The record sales validate continued AI accelerator demand for customers such as Nvidia, AMD and Broadcom, but also highlight TSMC's growing pricing power over those same customers. Barron's noted that concerns over TSMC's reported plans to raise chipmaking prices by as much as 10% in 2027 added pressure to semiconductor shares despite the record sales. Hedge funds added to both sides in the second quarter, with 249 funds holding TSM, up from 234, and 285 holding Nvidia, up from 275, while short interest stayed low at about 0.6% of TSM's float and roughly 1.2% of Nvidia's.
JPMorgan Ends Lending to Aschenbrenner's AI Fund After Record Losses
JPMorgan Chase & Co has terminated its prime brokerage lending relationship with Leopold Aschenbrenner's hedge fund, Situational Awareness, following record-setting losses tied to a broader downturn in artificial intelligence stocks, according to the Financial Times. The fund suffered the largest dollar loss in hedge fund industry history during a sharp July sell-off, losing 67% of its assets that month before offloading the bulk of its public market positions to Ken Griffin's Citadel, which left it up 80% on the year at the end of July. Aschenbrenner has since pivoted toward boutique prime broker Clear Street to rebuild market access, while Morgan Stanley held early discussions with the fund after its launch but ultimately declined to establish a banking relationship. In a letter to investors following the summer liquidation, Aschenbrenner vowed to reboot the hybrid public-private strategy under a more conservative risk model that limits leverage exposure. The fund is now deploying customized flex options on semiconductor manufacturers including AMD, Intel, SK Hynix, and SanDisk, alongside AI infrastructure providers like CoreWeave, allowing magnified equity exposure while capping downside to pre-paid premiums.
AMD Expands Into Rack-Scale AI as Agentic Workloads Boost CPU Demand
AMD executives said the company is expanding its role in artificial intelligence from a semiconductor supplier toward a provider of rack-scale systems and software, while positioning its server CPU portfolio for increased demand from agentic AI workloads. Speaking at the Goldman Sachs Communacopia + Technology Conference, Dan McNamara, AMD's senior vice president and general manager of Compute and Enterprise AI, said AMD has shifted from managing individual product roadmaps to coordinating a data-center roadmap spanning CPUs, GPUs and networking, with rack-scale solutions such as its Helios systems and MI455 products as the principal focus. Matt Ramsay, AMD's corporate vice president of financial strategy and investor relations, said the company has raised its estimate of the server CPU total addressable market from $60 billion to $120 billion and then to $220 billion through 2030, and expects its server business to address more than half of that market. The executives reiterated growth targets previously outlined by AMD, including more than 60% compound annual growth for the data-center business and more than 80% compound annual growth for its AI business over the company's strategic timeframe, alongside a total addressable market of roughly $2 trillion by 2030 and an expectation of more than doubling its data-center business by 2027. McNamara said agentic AI changes system architecture because control-plane operations, API calls, database queries and tool execution are CPU-based, and AMD is targeting three CPU deployment areas with its Venice portfolio: high-core-count processors including a 256-core device, high-frequency processors for head-node workloads, and general-purpose server processors for enterprise and cloud deployments.
Broadcom and AMD Post Blockbuster Quarters in Bid to Challenge Nvidia's AI Compute Grip
Broadcom and AMD both reported blockbuster quarters that put them squarely in the conversation as challengers to Nvidia's dominance in AI compute. Broadcom's AI semiconductor revenue hit $16.7 billion, up 221% year over year and 54% sequentially, and the company guided for Q4 AI revenue of roughly $21.7 billion, up 236%, with fiscal 2027 AI revenue projected at approximately $115 billion. AMD's Data Center segment reached $6.72 billion, up 107% year over year, powered by MI350 shipments and record EPYC sales, with Anthropic committing to up to 2 GW of MI450 Series and Microsoft expanding Azure deployments. Broadcom CEO Hock Tan argued that co-designed custom silicon runs at less than half the cost of a GPU, while AMD's Lisa Su called it an excellent quarter with record revenue and profitability. Broadcom trades at a forward P/E of 20 and AMD at a forward P/E of 32, and both CEOs flagged HBM, substrates, packaging, and data center power as the key choke points for 2027.
AMD CFO Projects $2 Trillion AI Market by 2030 as Shares Slip 2.5%
Advanced Micro Devices CFO Jean Hu projected that AI could expand the company's addressable market to roughly $2 trillion by 2030, a figure representing potential industry demand rather than future company revenue. The projection came as AMD shares fell approximately 2.5% to $508.10 Thursday, giving back part of the previous session's surge. AMD's second-quarter results showed revenue jumping 50% to $11.54 billion, while data-center sales more than doubled to $6.7 billion and supplied 58% of total revenue. Adjusted operating margin expanded to 27% from 12% a year earlier, and management guided for approximately $13 billion in third-quarter sales. Even a 5% share of that $2 trillion market would equal $100 billion, requiring AMD to deliver competitive chips, deepen software adoption and secure enough manufacturing capacity, while the $508.10 share price stands 82.02% above the $279.15 GF Value.
Piper Sandler Initiates Seven Semiconductor Stocks, Names Broadcom and Nvidia Top Picks
Piper Sandler initiated coverage on seven major semiconductor stocks, assigning Overweight ratings to AMD, Arm, Broadcom, Marvell and Nvidia, while Intel and Qualcomm received Neutral ratings. Broadcom and Nvidia were named top picks for their accelerators, and AMD and Arm were highlighted for gaining market share in CPU servers. Analysts David O'Connor and Zackary Altman said the AI market is starving for more compute capacity, noting that 2027 is already sold out and order books are full for 2028, and they estimate a $2.2T compute market by 2030, split into $2T for accelerators and $0.2T for CPUs, a fivefold expansion that translates into an average of roughly 45% EPS CAGR across the group. The firm set price targets of $600 on AMD, $320 on Arm, $460 on Broadcom, $110 on Intel, $270 on Marvell, $300 on Nvidia and $190 on Qualcomm. O'Connor pointed to GPU hourly pricing as evidence of scarcity, citing Silicon Data's H100 pricing index at $2.60 per hour versus $2.00 in December, and noted that GPU chip costs have risen from 30% to 40% over the last two generations.
Cramer Calls for AI 'Kill Switch' While Keeping Nvidia, AMD Backing
Jim Cramer used a CNBC Mad Money segment on Sept. 9 to call for an AI "kill switch of sorts," breaking with the bullish AI camp even as he kept telling viewers to own the infrastructure trade. Cramer said the people building AI "earnestly believe that it could kill us all by the end of the decade," a warning he tied to Anthropic safety researcher Evan Hubinger's public double-digit odds on AI causing mass human casualties this decade and researcher Jacob Coxon's resignation accusing frontier labs of gambling with people's lives. Anthropic remains private with no Form S-1 on file as of Sept. 9, so the warnings are not a tradable IPO event. Cramer's stock calls are unchanged: Nvidia, with a market capitalization of roughly $5.3 trillion, posted fiscal Q2 revenue of $96.22 billion, up 105.8% year over year, with data center revenue of $89.02 billion and Q3 guidance of $108 billion plus or minus 2%, while AMD, with a market cap around $826.3 billion, posted Q2 2026 revenue of $11.54 billion, up 50.1%, with data center revenue of $6.72 billion more than doubling year over year. Anthropic itself has committed to deploying up to 2 gigawatts of MI450 GPUs in AMD Helios racks, and AMD shares are up 126.5% year to date.
AMD Data Center Revenue Doubles to $6.7B as Analysts Map Path to $800
Advanced Micro Devices reported record Data Center revenue of $6.7 billion in Q2 2026, more than doubling year over year, as the company's shares climbed 143.32% year to date. CEO Lisa Su told investors on the Q2 call that AMD now expects revenue to grow substantially above its prior target of greater than 35% and to significantly exceed its $20 annual EPS target within its strategic timeframe, adding that Helios is now in production with initial shipments on track to begin later this quarter and ramp through the fourth quarter and into 2027. Anchor GPU commitments include OpenAI at 6 GW, Meta at up to 6 GW, Anthropic at 2 GW, and Oracle's 50,000-GPU Helios supercluster. Of 54 analysts covering the stock, 4 rate it strong buy, 39 buy, 11 hold, and none sell, with a mean price target of $615.38, while the article's internal model sets a 12-month base case of $475.32, a bull case of $609, and a bear case of $373.18. Reaching $800 from the current price of $521.10 would require a 53.5% gain and hinges on Helios ramping on schedule, FY2027 EPS landing near the high estimate of $19.96, and the AI capex cycle holding through 2027, though tariff escalation or a China accelerator ban could derail the thesis; the Gaming segment shrank 31% year over year in Q2, and U.S. export controls already cost AMD roughly $440 million in FY25 net inventory charges tied to MI308 China shipments.
AMD-Backed Upstage Weighs Pre-IPO Round Ahead of Potential Listing
South Korean AI startup Upstage is considering a pre-IPO funding round as it prepares for a potential stock-market listing, according to a Bloomberg report. Co-founder and CTO Hwalsuk Lee said the company is reviewing several capital market options, including an IPO, but has set no fixed timeline or size for either an IPO or a pre-IPO round. The Seoul-based startup raised 560B won, or $420M, in a Series C financing this year, taking its total funding to 730B won. AMD-backed Upstage has secured a partnership and strategic investment from Advanced Micro Devices as it deepens its work with the chipmaker, and Lee said its latest Solar Pro 4 model is handling production traffic on AMD graphics processing units, with joint optimization efforts improving throughput by 25% and helping the model process more than 100 billion tokens of AI work per day. The startup plans to increase the size of its AI models, expand support for Southeast Asian languages, and strengthen its agent capabilities, while building a broader domestic AI stack through partnerships with South Korean AI chip designer FuriosaAI and deployments of its technology in large-scale consumer services.
Qualcomm-AWS Deal and Chip Milestones Boost Semiconductor Stocks
Shares of Applied Materials, AMD, Broadcom, Lam Research, and Marvell Technology surged in afternoon trading after Qualcomm announced a multi-generational collaboration with Amazon Web Services to develop custom AI data center chips, and ASML, TSMC, and Intel revealed key advancements in next-generation chip manufacturing. Qualcomm's partnership with AWS focuses on co-designing custom AI chips for high-performance inference and data center workloads, aiming to cut operating costs and improve energy efficiency. At the SPIE Photomask conference, ASML and TSMC launched an initiative to transition from 6-inch to 12-inch photomasks, targeting a pilot line by 2031 and full production by 2033, which would reduce costs and boost output for advanced AI processors. Additionally, Intel Foundry and ASML confirmed that Intel has processed over one million wafers on its Intel 18A node using High NA EUV equipment. These developments boosted investor confidence in sub-2-nanometer chip designs and AI infrastructure, with Applied Materials up 3.4%, AMD up 6.5%, Broadcom up 3.3%, Lam Research up 4.2%, and Marvell Technology up 3.3%.
AMD Jumps 6.7% as Amazon Eyes $60 Billion AI-Chip Deal
Advanced Micro Devices (AMD) shares rallied about 6.7% to $509.635 on Tuesday, as investors bet on surging AI infrastructure demand after Amazon (AMZN) signaled it could buy up to $60 billion of AI data-center products from Qualcomm (QCOM) through a long-term collaboration. AMD's second-quarter results showed revenue soaring 50% to $11.54 billion, with data-center sales more than doubling to $6.7 billion, now representing roughly 58% of total revenue. Qualcomm, the semiconductor designer, is targeting $15 billion in annual data-center revenue by 2029, which would be about 56% of AMD's current $26.8 billion annualized data-center run rate. Amazon's potential commitment underscores the scale of the opportunity but also highlights that hyperscalers have the resources to fund alternatives to established merchant chips. AMD's market price now stands 82.57% above its $279.15 GF Value, indicating investors are paying a steep premium for AI-fueled growth.
F-Secure and AMD Silo AI Unveil TrustPath to Secure Agentic AI Journeys
F-Secure and AMD Silo AI have demonstrated a unique routing approach that decides per piece of data where it should be processed—on the device or in the cloud—to help secure digital journeys in the agentic AI era. The upcoming solution, F-Secure TrustPath, uses this approach to protect every step of the consumer digital journey, from login to payment, by granting trust per moment rather than per domain. F-Secure's research shows that 84% of consumers worry AI makes it impossible to tell what is real online, and only 17% are ready to let AI take actions on their behalf. The companies aim to handle each event as close to the user as possible for safety, privacy, and efficiency. F-Secure TrustPath capabilities are expected to enter beta in Q4/2026 and production in 2027.
AMD Sees AI Boom Fueling MI450, Helios and Server CPU Growth
Advanced Micro Devices executives said artificial intelligence demand is broadening beyond graphics processors to include server CPUs, AI PCs and adaptive computing, while the company prepares for a significant ramp of its MI450 accelerator platform and Helios rack-scale systems. Speaking at the Citi Global TMT Conference, Chief Financial Officer Jean Hu described AI as "the most consequential technology transformation" and said the market has shifted as inference demand has outpaced training demand. AMD updated its estimate of its addressable market opportunity to $2 trillion by 2030 and expects its data center business to double next year. Hu said production shipments of MI450 products will begin at the end of the third quarter, with a "very significant step up" in the fourth quarter and continued ramping through 2027. The company identified Meta, OpenAI and Anthropic as anchor customers for Helios deployments, and raised its 2030 total addressable market forecast for server CPUs to more than $220 billion, from $60 billion projected at its November 2025 financial analyst day. AMD expects server CPU revenue to expand more than 80% year over year in the second half and by more than 70% next year, while supply remains tight across wafers, advanced packaging, and high-bandwidth memory.
AMD Unveils Desktop AI Workstation Running 300-Billion-Parameter Models
AMD has introduced a new workstation-class system, the Ryzen AI Halo platform powered by the Gorgon Halo processor, which can run AI models with up to 300 billion parameters locally on 192 gigabytes of unified memory, eliminating the need for cloud computing. CEO Lisa Su announced the capability on the August 4, 2026 earnings call, extending the previous Ryzen AI Max+ and developer platform that supported models up to 200 billion parameters. The move targets on-premise buyers such as defense contractors, hospitals, banks, and sovereign research labs that prioritize data privacy and latency. However, the near-term revenue impact is expected to be minimal compared to AMD's data center business, which generated $6.72 billion in Q2, up 107% year over year, and represents 58% of total revenue. AMD's stock closed at $477.57 on September 4, 2026, up 4.69%, and has gained 123% year to date.
Nvidia Closes $12.9B Hugging Face Deal Amid Neutrality Concerns
Nvidia has closed its $12.9 billion acquisition of Hugging Face, but the deal carries a significant risk: the company has not disclosed binding governance commitments to ensure the platform remains neutral toward rival chips from AMD, Groq, and others. Jensen Huang's openness pledge, made on the Q2 FY2027 call, remains a strategic statement rather than a binding covenant. Nvidia's dominance in AI silicon creates a structural conflict, as Hugging Face is the default distribution hub for open models. Three triggers over the next two quarters will determine whether the acquisition is an asset or a liability: whether major open-weight releases debut on Hugging Face first, whether a competing registry gains funding, and whether senior maintainers depart. Nvidia reported Q2 FY2027 revenue of $96.22 billion, up 105.85% year over year, with data center revenue of $89.02 billion and non-GAAP EPS of $2.22.
Citi expects semiconductor rebound after 18% summer selloff
Citi told clients in a note Tuesday that it expects semiconductor stocks to rebound after a summer slump, arguing that a heavy conference schedule and resilient data center demand should support the sector. The bank noted the Philadelphia Semiconductor Index fell 18% over the summer as the group ran into high expectations and a modest deceleration in earnings momentum. Even so, Citi looks for a recovery heading into its Global TMT conference, where it expects positive commentary led by AMD, MRVL, LITE, ALAB, and semi caps. Data center demand remains strong, accounting for 34% of the industry's total addressable market, while autos and industrials, at 21%, continue to recover. Demand from PCs and handsets, which make up 42% of the market, is said to remain weak amid memory cost inflation and supply constraints. The bank turned more bullish on central processing units after recent earnings and the Hot Chips conference, lifting its CPU market forecast to $237 billion by 2030 from $29 billion in 2025, a 52% compound annual growth rate, above forecasts from AMD, Arm and Nvidia. Citi expects AMD to be the key beneficiary of what it called a "CPU renaissance," with Intel a secondary winner. Furthermore, Citi raised its outlook for wafer fabrication equipment spending, citing a stronger hyperscaler capital expenditure model, now seeing a 2028 bull case approaching $300 billion, with base-case spending of $257 billion, up from $250 billion previously.
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