Specialized / Developer & Managed-Hosting Cloud

DigitalOcean Holdings secured a $725 million equipment finance facility on September 10 to fund the GPU and CPU capacity its AI-Native Cloud business needs, sending the stock up 7.45%. The facility, arranged with MUFG Bank as lead administrative and collateral agent alongside Axos Bank, BMO Bank and Wells Fargo as joint lead arrangers and PNC Bank as document agent, matures on September 10, 2030, and carries an accordion option for another $300 million. CFO Matt Steinfort described the financing as a way to align cash outflows with revenue at an attractive cost of capital, raised from a position of strength. The move follows second-quarter results reported on August 4, when DigitalOcean posted revenue growth of 29% year over year and raised its full-year outlook on accelerating AI demand. Remaining performance obligations reached $894 million in the second quarter, up twelvefold from a year earlier, while AI customer ARR grew 212% year over year and customers spending $500,000 or more grew their revenue contribution 160%. The expansion has come at a cost: operating income fell 18%, operating margin slipped to 10%, net income dropped 4% to $35 million, and adjusted free cash flow margin narrowed from 26% to 22%.

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.

Nvidia CEO Jensen Huang said hyperscalers are "always almost wrong" on AI capacity planning because they set infrastructure plans once a year while demand shifts far faster, and he is pushing a network of nimble regional clouds as the fix. Speaking at the All-In Summit, Huang said Nvidia would be happy with five hyperscalers but argued the industry ultimately needs 50, 100 or even 1,000 neoclouds, since regional providers can move quickly to secure land, power and existing facilities that are harder for companies operating from Silicon Valley or Seattle to coordinate globally. Nvidia is building what Huang described as a large-scale distributed network of companies securing those critical resources, and he pointed to activity in Australia and Southeast Asia where Nvidia is helping bring additional gigawatts of capacity online through regional cloud partners. The strategy matters for Nvidia because it does not need every AI workload to run through a handful of hyperscalers if it can help create hundreds of smaller customers that collectively consume massive amounts of Nvidia hardware. It also reinforces a broader shift in the AI infrastructure trade, where the bottleneck is increasingly not who has the best chips but who can secure the electricity, land and data center capacity needed to deploy them.

HIVE Digital Technologies subsidiary BUZZ High Performance Computing Inc. has entered a strategic partnership with Vancouver-based applied-AI and data engineering company ProCogia, the companies said Wednesday. Under the agreement, ProCogia will procure dedicated GPU capacity from BUZZ HPC's Canadian data centers and layer its applied-AI stack, including LLM hosting, bespoke model training, agentic systems and vertical AI products, on top of that infrastructure for enterprise and small- and medium-sized business clients in Canada, the United States and Europe. ProCogia is deploying dedicated compute on BUZZ HPC's infrastructure while becoming a preferred applied-AI services partner for BUZZ HPC's customers, with plans to co-sell into the U.S. and Europe. ProCogia will use the partnership as a cloud launchpad for its proprietary ZeroBoxx AI framework, and its vertical AI products, CallYeah, a voice-AI solution for healthcare providers, and PolyKode, a code-migration LLM for regulated environments, will run on BUZZ HPC capacity as anchor workloads. Aydin Kilic, CEO of HIVE Digital Technologies, said BUZZ HPC was built so that Canadian companies with real AI ambition would never have to choose between accelerated computing infrastructure and sovereignty over their data, while ProCogia Founder and CEO Meharpratap Singh said the partnership addresses what has historically been the biggest bottleneck for smaller SMB and mid-market clients.

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.

Cloudflare now sees agentic artificial intelligence as a growth opportunity that will dwarf its previous drivers, and has raised its long-term "North Star" growth target to 50% from 40%. Chief Financial Officer Thomas Seifert, speaking at an investor event, said the company's network architecture is positioned to support low-latency, secure and distributed AI inference workloads, and that Cloudflare expects to exit the year with momentum toward that objective. Demand is showing up through the Workers developer platform, where the company added 2 million developers quarter over quarter, and through variable consumption revenue, with companies including Lovable, Figma, Anthropic and OpenAI building on Workers; Cloudflare estimates that about 80% of significant AI enterprise infrastructure customers use its services. Seifert said Cloudflare is focused on inference rather than training the largest models, and that capital expenditures could rise but any increase would be expected to coincide with higher revenue. The company is also building monetization infrastructure for the agentic economy, including "pay per crawl," a Monetization Gateway, Cloudflare Wallets and identity tools, working with partners including Visa, Mastercard, American Express, PayPal and Coinbase, though Seifert acknowledged that significant technical work remains and that Cloudflare cannot yet process transactions at the millions-per-second scale it believes may be necessary.

Nvidia CEO Jensen Huang dismissed concerns that the chip giant is fueling its own demand by financing the companies and infrastructure projects that deploy its technology, telling Goldman Sachs' Communacopia + Technology Conference on Thursday, "Is that circular? If that is, let's do more of that." Pressed by Goldman Sachs analyst Jim Schneider on Nvidia's guarantees and financial backing for AI labs and cloud providers, Huang pointed to the $500 billion infrastructure financing platform Nvidia launched with six financial institutions including BlackRock to mobilize third-party capital, and said Nvidia commits relatively little of its own money, adding, "We put in one and 100 comes back in." Huang said Nvidia can see around $100 billion of contracted customer demand behind the projects it helps finance, describing it as "lined-up contracts" and "real stuff," and called the strategy necessary to build a global network of newer cloud providers that serve as distribution channels for Nvidia's architecture. Nvidia disclosed $99 billion of equity investments as of July 26 and another $25 billion of future investment commitments, including a $2 billion investment in cloud provider CoreWeave in January, and has agreed to guarantee up to $105 billion so OpenAI can lease an Ohio data center campus that will run on Nvidia chips, with total guarantees potentially reaching $108.5 billion. Skeptics including short seller Jim Chanos, who challenged Huang directly this week, and Michael Burry, who warned in July that circular spending had reached "biblical proportions," argue the growing financial role makes it harder to separate underlying chip demand from demand enabled by Nvidia's own capital, while Polymarket gives Nvidia a 79% chance of finishing 2026 as the world's largest company by market capitalization. Nvidia's second-quarter revenue jumped 106% year over year to $96.2 billion, with data center revenue up 117% to $89 billion.

DigitalOcean Holdings has entered into a new $725 million equipment finance facility to fund capacity expansion for its AI-Native Cloud platform. The facility matures on September 10, 2030, and includes an accordion option of up to $300 million that the company intends to exercise, subject to obtaining commitments from new or existing lenders and other conditions. DigitalOcean said it will use the facility to acquire GPU, CPU, and other required equipment to meet customer demand, aligning cash outflows with revenue at an attractive cost of capital. MUFG Bank, Ltd. served as sole Administrative Agent and Collateral Agent, while MUFG Bank, Ltd., Axos Bank, BMO Bank N.A. and Wells Fargo Bank, N.A. acted as Joint Lead Arrangers and Joint Bookrunners, with PNC Bank, N.A. as Document Agent. Chief Financial Officer Matt Steinfort said the company continues to manage its balance sheet from a position of strength, with low leverage and healthy adjusted free cash flow margins, and remains highly confident in its guidance for Q3 and the full year 2026 as well as its outlook for 2027.

Rackspace Technology shares rose more than 6% in premarket trading Thursday after the company joined the Nvidia Cloud Partner Program. The partnership will strengthen Rackspace's ability to provide and manage NVIDIA-powered AI computing for regulated and sovereign enterprises. Chief executive officer Gajen Kandiah said AI sovereignty is ultimately about control of data, models and the intelligence an organization creates, adding that NVIDIA provides the accelerated computing foundation while Rackspace brings the infrastructure, engineering and operations required to run it in production. Rackspace also said its new Institutional Sovereign Pod, a governed AI infrastructure architecture, will bring together NVIDIA's Blackwell technology with Palantir's Foundry and AIP platforms to give enterprises control over their data, models and AI environments. Rackspace provides forward-deployed engineering and managed operations for the environment, helping customers move from deployment to production faster and reach value sooner.

Palantir Technologies has named Nebius Group its preferred sovereign AI infrastructure partner for commercial customers, extending its government-focused partnership with Nvidia to the private sector. The deal, announced September 8, will integrate Nebius compute and inference endpoints into Palantir's enterprise perimeter, allowing customers to deploy open-weight models on Nebius hardware while retaining control over data and model weights. Nebius shares rose as much as 6% to $239.23 on the news, while Palantir slipped about 1%. Nebius reported second-quarter revenue of $582.3 million, up 454% year over year, with adjusted EBITDA of $236.2 million, though three clients accounted for 59% of that revenue and no financial terms were disclosed for the Palantir arrangement. Palantir's own second-quarter sales grew 93% to $1.935 billion, and it raised full-year guidance to imply 82% revenue growth. The companies plan modular data centers at sites with secured power, addressing the electricity bottleneck in AI capacity.

Shares of DigitalOcean (DOCN) surged 14.8% in afternoon trading after the company outlined its AI-native cloud strategy and focus on AI inference workloads during an executive presentation at the Goldman Sachs Communacopia + Technology Conference. Management highlighted that managed services are driving the majority of revenue and that the company is expanding capacity to meet evolving customer adoption. Investors reacted positively to DigitalOcean's positioning as a pure-play AI inference provider, and the stock closed at $126.67, up 12.6% from the previous close. DigitalOcean is up 160% since the beginning of the year but remains 29.8% below its 52-week high of $181.29 from June 2026.

Oracle shares jumped 5% to $167.15 in early trading Tuesday after Morgan Stanley raised its price target, a move that also lifted CoreWeave 3% to $92.20 as AI cloud infrastructure stocks rallied against a softer market. The price target raise validates the AI infrastructure spending case, with Oracle's Q4 FY2026 cloud infrastructure revenue up 93% year over year to $5.79 billion and remaining performance obligations surging 363% to $638 billion, including $75 billion tied to prepaid or customer-supplied GPU contracts. Oracle management has confirmed a $90 billion FY2027 revenue target and raised non-GAAP EPS guidance to $8.05, though the company plans to raise about $40 billion through debt and equity in FY2027 and reported negative free cash flow of $23.7 billion for FY2026 on $55.7 billion of capex. Oracle remains down 14% year to date, while CoreWeave is up 28% year to date, with its Q2 2026 revenue reaching $2.6 billion, up 112% year over year, and backlog near $104 billion. Snowflake, the third leg of the enterprise AI infrastructure trade, sat out Tuesday's rally despite its Q2 FY2027 revenue rising 35.1% year over year to $1.55 billion, and the SPDR S&P 500 ETF slipped 0.12%.

Internet Thailand or INET, together with Express Software Group, has launched the Express on Cloud by INET service, bringing ERP systems to the cloud to elevate SMEs towards digitalization. This combines INET's expertise, having operated in Thailand for over 31 years, with Express Software's experience in providing business software for over 36 years. This new service enables entrepreneurs to access accounting and management systems anytime, anywhere, reducing system maintenance complexity. Currently, Express has over 101,792 licenses in use, while Express on Cloud already has over 26,000 users. Additionally, Express offers e-Tax services in partnership with One Electronic Billing, which holds a market share of over 50% and has processed over 1 billion transactions. This collaboration also aligns with the concepts of Data Sovereignty and Data Governance to protect data and pave the way for the future.

Nvidia CEO Jensen Huang said at the G20 Summit that building a 1-gigawatt AI facility costs between $50 billion and $60 billion, a figure that underscores the scale of the AI infrastructure buildout and has implications for neocloud providers like Nebius. Nebius, which reported Q2 revenue of $582 million, up 454% year over year, and annual recurring revenue of $3 billion, aims for $7 billion to $9 billion in annual recurring revenue by year-end. Huang's valuation suggests Nebius' projected five gigawatts of contracted power by end-2026 could be worth up to $300 billion once fully built, though that does not imply an immediate market cap of that size. The higher valuation also strengthens neoclouds' ability to secure customer prepayments, which already fund 50% to 60% of Nebius' capital expenditures, and could enable future borrowing against data centers, as Iren CEO Dan Roberts noted that his company's portfolio remains unencumbered. These factors address the bearish concern about how neoclouds will finance their massive buildouts.

DigitalOcean reported second-quarter results showing its AI-cloud strategy is gaining traction, with revenue climbing 29% year over year to $281 million and remaining performance obligation swelling to $894 million from $71 million a year earlier. AI Customer ARR grew 212% to $234 million, with 85% of that revenue coming from inference and core cloud workloads, and the company signed its first nine-figure annual commitments, extending the weighted average contract life to over three years. However, profit growth lagged, as net income attributable to common stockholders fell 4% to $35 million and operating income dropped 18% to $29 million, while adjusted free cash flow margin declined to 22%. DigitalOcean also repurchased about $472 million of convertible notes due 2030, funded by a stock offering, and added 20 megawatts of data center capacity for 2027 and 2028, bringing total committed capacity to about 155 megawatts. Hedge fund ownership rose to 53 funds, but short interest remains high at 8.74% of float, reflecting cautious sentiment despite the growth.

Beijing Yakang Intelligent Computing Technology, a subsidiary of Yakang Technology, has signed a high-performance computing power cloud service agreement with Customer Company C. The contract value including tax is 118.84188 million yuan, with a lease term of 60 months and fixed closed-end pricing. Under the contract, Party A will pay a certain percentage of the contract amount as an advance payment to serve as a lock-in deposit. If either party terminates the cooperation without cause, it must compensate 100 percent of the amount due and unpaid during the lock-in period. Customer Company C is registered in Anhui, has good credit standing, and has no related-party relationship with the company. The company stated that smooth performance of the contract will have a positive impact on its future financial position and operating results, but noted risks including changes in the external macro environment and adjustments to industry policies.

Anthropic has agreed to a $35 billion computing deal with Lambda, a cloud provider backed by NVIDIA, according to Bloomberg reporting on September 1, 2026. This follows another cloud agreement Anthropic signed the previous week. Neil Campling, senior strategist, framed the deal as part of a sector-wide race for scarce compute, and noted that Anthropic will likely need an IPO to fund the promise, reframing the announcement from a growth story to a funding gap. NVIDIA, which supplies GPUs to Lambda and holds equity in Anthropic, earns rental revenue from the deal, with Jensen Huang confirming the company gets paid twice: once on hardware sales and again through rental revenue. NVIDIA has invested nearly $50 billion in Frontier AI Labs and arranged partnerships to mobilize over $500 billion in third-party capital for AI infrastructure. AMD also holds 8 gigawatts of combined compute deals with Anthropic and OpenAI, spreading the same unfunded counterparty risk across the chip industry.

Anthropic has signed a $35 billion cloud deal with Lambda, an Nvidia-backed company, according to Wall Street Journal reporting. The deal adds another layer to the circular financing web in the AI industry, as Nvidia also owns the lease on the data center site that will be built by Hut 8. This arrangement involves multiple interconnected transactions: Anthropic pays Lambda for compute, Lambda pays Hut 8 for the data center, Nvidia invests in Hut 8 and Anthropic, and Hut 8 pays for chips. The complexity of these circular deals is growing, raising concerns about risk and leverage in the AI landscape.

Hut 8 rose 2.21% premarket after Reuters reported that Anthropic signed a $35 billion cloud computing deal with Lambda, an Nvidia-backed cloud provider, for capacity at a Texas data center Hut 8 is developing. The site covers about 350 megawatts, according to a person familiar with the matter. Nvidia, which would hold the lease on the data center, was down 1.24%. Hut 8, a bitcoin miner that has moved into AI infrastructure, said in July it had signed a 15-year lease with an unnamed investment-grade customer worth $19.6 billion over the base term, and later Nvidia was identified as the tenant at the company's 1-gigawatt Beacon Point campus. Anthropic said last week it would spend $45 billion renting compute from Nscale's West Virginia campus. The Lambda capacity is meant to serve demand for its Claude products, including the Claude Code tool, ahead of a planned listing.

The global hosting market is projected to grow from $77.86 billion in 2025 to $87.47 billion in 2026, a compound annual growth rate of 12.3%, according to a new report from ResearchAndMarkets.com. The market is expected to reach $140.46 billion by 2030, growing at a CAGR of 12.6%, driven by enterprise cloud migration, edge computing, AI workloads, and demand for scalable digital infrastructure. The report highlights trends such as serverless hosting, hybrid and multi-cloud environments, AI-driven optimization, and sustainable data centers. North America was the largest region in 2025, while Asia-Pacific is expected to see the fastest growth. Notable developments include Hosting.com's launch of an AI application hosting platform in March 2026 and Summit Hosting's acquisition of Deft Inc. in February 2024.

Lambda Inc., an AI cloud-computing provider backed by Nvidia Corp., has raised about $1 billion of private short-dated debt to finance computing chips tied to its collaboration with Microsoft Corp. JPMorgan Chase & Co. arranged the transaction, which was marketed to private placement investors, according to people familiar with the matter. The debt will fund the purchase of Nvidia GPUs that will be leased by Microsoft. This deal follows a separate $926 million loan completed earlier this month for GPU purchases and installation. Lambda, a "neocloud" company, is also in talks to raise up to $3 billion in a funding round that could lead to a public offering next year.