Meta Platforms is set to report second-quarter earnings on July 29 amid heightened investor scrutiny over big tech's artificial intelligence spending. The company, which operates Facebook, Instagram, Messenger, WhatsApp, and Threads, has seen its stock fall nearly 10% this year and trade at a forward price-to-earnings ratio of 18.7, below its five-year mean of 24.8. Meta is projected to spend $135 billion on capital expenditures and AI infrastructure this year, and Bloomberg has reported that the company is building a 'Meta Compute' division to sell excess cloud computing capacity. Additionally, The New York Times reported that Meta is in talks with AI start-up Anthropic to lease as much as $10 billion in computing capacity over the next two years. Investors will be watching for updates on daily active users, advertising revenue, and any guidance on capital expenditures and the potential cloud business.
SpaceX to Issue $40 Billion in New Debt for Nvidia Chips, Report Says
SpaceX is reportedly preparing to issue $40 billion in new debt to buy Nvidia chips for its data centers, according to Bloomberg, sending shares down 2% in early trade Wednesday. The financing would be split into $10 billion in bank loans and $30 billion in investment-grade debt, with Apollo Global leading the financing and bond giant PIMCO looking at the deal. SpaceX's data centers in Memphis, Tennessee, known as Colossus 1 and 2, are generating billions per month in recurring revenue from AI compute services, and CFO Bret Johnsen said last month the company believes it is on track to hit $100 billion in annual recurring revenue, after closing another hosting deal worth about $1.11 billion a month starting December 1st of this year, or roughly $13 billion of additional ARR. Yorkville Ives analyst Dan Ives said the deal provides firepower for SpaceX's AI buildout, adding that the contracted AI backlog and Starlink's cash generation give the company the capacity to service the leverage; Ives has an Outperform rating and a $225 price target on the stock. Earlier this week, Morgan Stanley's Adam Jonas wrote that SpaceX stock was cheap and that now was the time to buy ahead of the upcoming Starship 15 launch, likely scheduled for late October or November.
Artificial Intelligence › AI Data Center & Build-out ▲Capital
Artificial Intelligence › AI Compute Cloud & Neoclouds ▲Capital
Artificial Intelligence › AI Compute & Accelerator Silicon ▲Capital
SPCX · Capital · Neutral SpaceX plans $40B in new debt to fund Nvidia chip purchases; shares fell 2% on the leverage news, though analysts cite contracted AI backlog and Starlink cash to service it.
NVDA · Demand · Positive SpaceX is issuing $40B in debt specifically to buy Nvidia chips for its data centers, a concrete order driver.
APO · Capital · Positive Apollo Global is leading the $40B financing for SpaceX's debt issuance, a capital-markets deal for the firm.
Behavox Commits $8 Million to Civo for UK Sovereign AI GPU Capacity
Behavox has signed an $8 million GPU commitment with UK sovereign cloud and AI platform Civo to secure dedicated UK capacity for processing regulated customers' sensitive data locally. The agreement covers GPU capacity in the United Kingdom to run the AI models behind Behavox's products, keeping data from global banks, hedge funds, asset managers, commodity traders and insurers within the UK region. It follows Civo's September 22, 2026 announcement of its flagship edge data centre in Hertfordshire, the first of 40 planned UK sites, and its deployment of the NVIDIA Vera Rubin platform targeted for 2027, alongside Behavox's $175 million preferred equity investment from HPS Investment Partners, part of BlackRock, in June 2026. The Civo commitment is part of a wider build-out in which Behavox is securing AI compute with other neoclouds amid very strong demand from regulated industries for affordable tokens and agentic AI. That capacity is sold through Behavox's affiliated company Gigatokens, which offers frontier models on UK sovereign infrastructure with zero data retention by default.
CoreWeave partners with AdaniConneX for first India data centers
CoreWeave Inc. announced it will establish its first data centers in India through a partnership with AdaniConneX Pvt., a joint venture between Adani Group and EdgeConneX. The AI cloud-computing provider will utilize 240 megawatts of capacity at AdaniConneX's Taloja campus in Navi Mumbai, with an option to expand to 480 megawatts, and plans to open an office in India. The total investment is projected to reach multiple billions of dollars throughout the project's duration, with the first data centers scheduled to begin operations in mid-2028. CoreWeave will install Nvidia Corp. Vera Rubin chips at the facilities for tasks including training and operating models, managing reasoning functions, and supporting AI agents. The move follows CoreWeave's initial Asian entry in August with projects in Indonesia, and comes after CEO Mike Intrator said last month the company is largely sold out of capacity; CoreWeave reported approximately 4.2 gigawatts of contracted power in August.
CRWV · Capital · Positive CoreWeave announces multi-billion-dollar India data center investment via AdaniConneX partnership, expanding its capacity footprint.
AdaniConneX · Demand · Positive AdaniConneX secures CoreWeave as anchor tenant for 240MW at its Taloja campus, with expansion option to 480MW.
Adani Group · Capital · Positive Adani Group's JV AdaniConneX lands CoreWeave as a major data center tenant with multi-billion-dollar investment.
NVDA · Demand · Positive CoreWeave will install Nvidia Vera Rubin chips at its new India facilities, representing product demand for Nvidia.
Nvidia Tied to $40 Billion SpaceX AI Chip Push and OpenAI Ultrafast Model Win
Nvidia is set to benefit from a planned $40 billion SpaceX fundraising led by Apollo aimed at securing exclusive access to Nvidia chips. SpaceX is seeking US$40b in new capital to more than double its Nvidia-powered compute footprint for large scale AI and space data projects, effectively treating Nvidia as the default compute layer for those efforts. Separately, OpenAI has chosen Nvidia hardware over Cerebras to run its new Ultrafast AI model, reinforcing Nvidia's role in large model training and its full stack platform anchored by CUDA and TensorRT. The key test for investors is whether these headlines turn into disclosed, multi year capacity commitments that show up in data center segment demand and long term supply agreements, with concrete contract details from SpaceX and further large scale model deployments from OpenAI that explicitly reference new Nvidia platforms such as Blackwell or Rubin. The developments sit inside a wider build out of AI plumbing across data centers and cloud platforms.
Artificial Intelligence › AI Compute Cloud & Neoclouds Demand
NVDA · Competition · Positive OpenAI chose Nvidia hardware over Cerebras to run its new Ultrafast AI model, reinforcing Nvidia's role in large model training.
NVDA · Demand · Positive SpaceX's $40B raise aims to more than double its Nvidia-powered compute footprint, treating Nvidia as the default compute layer.
CBRS · Competition · Negative OpenAI chose Nvidia hardware over Cerebras to run its new Ultrafast AI model, a competitive loss for Cerebras.
SPCX · Capital · Neutral SpaceX is seeking $40B in new capital to expand its Nvidia-powered compute footprint, but the article does not assess the impact on SpaceX itself.
OpenAI · Technology · Neutral OpenAI selected Nvidia hardware over Cerebras for its new Ultrafast AI model, but the article does not judge the impact on OpenAI.
APO · Capital · Neutral Apollo is named as leading the planned $40B SpaceX fundraising, but no direct impact on Apollo is detailed.
Reflection AI, $25 Billion Startup Backed by Nvidia, Nears First Open-Source Model Launch
Reflection AI, a New York City startup valued at $25 billion, is rumored to be on the verge of releasing its first open-source AI model, according to a report from Axios. Founded about 2.5 years ago by two former Google DeepMind researchers who worked on the foundations of Google Gemini, the company came out of stealth at a $545 million valuation and has since raised $2 billion from Nvidia, which led its next round. Reflection AI has committed upwards of $7 billion on compute before its first model ships, including roughly $150 million per month paid to Elon Musk's SpaceX AI for compute access, and it does not own any of its own chips. The company's pitch centers on an "AI factory" model in which enterprises pay for model weights, download them, and run them privately on their own infrastructure so proprietary data never reaches a centralized lab. The launch would mark a rare Western attempt to compete in open-source AI, where Chinese models now account for 58 to 80 percent of usage among US AI startups, and where Reflection AI's $7.4 billion compute spend amounts to only about 1.4 percent of the $0.5 trillion Anthropic plans to spend on compute over the next 5 to 10 years.
Cerebras Systems Lands Gimlet Labs Deal for Wafer-Scale Inference Cloud
Cerebras Systems has secured a deal with Gimlet Labs, which agreed to use its wafer-scale chips inside a new disaggregated inference cloud targeting ultrafast agentic and real-time AI workloads for paying customers. The partnership lands after a volatile stretch for Cerebras, during which conflicting headlines around its OpenAI relationship swung sentiment and short-term trading. Even with recent rebounds on Altman's public backing, the stock's share price return is still down 15.7% over 30 days and 43.1% year to date. Cerebras last closed at $177.10, while the most followed narrative values the stock at $415.54, framing a large gap between trading price and perceived long-term potential. The story could still unravel quickly if OpenAI pulls back on spending or if the mid November share unlock floods the market with selling.
Artificial Intelligence › AI Compute Cloud & Neoclouds ▲Demand
CBRS · Demand · Positive Cerebras secured a deal with Gimlet Labs to use its wafer-scale chips in a new inference cloud for paying customers.
Gimlet Labs · Demand · Positive Gimlet Labs agreed to use Cerebras wafer-scale chips for its new disaggregated inference cloud serving paying customers.