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SpaceXAI adopts NVIDIA Vera CPU to accelerate agentic AI at massive scale. SpaceXAI Scales NVIDIA Vera Rubin from terrestrial AI factories to first-generation Starmind satellite. August 24, 2026 11:00 ET | Source: NVIDIA News Summary: * SpaceXAI will deploy NVIDIA Vera CPUs to accelerate the work behind its next generation of agentic AI workloads. * SpaceXAI is expanding its AI infrastructure for Grok with the NVIDIA Vera Rubin platform as it scales toward gigawatts of computing capacity. * SpaceXAI plans to extend its use of NVIDIA accelerated computing into space, with the first-generation Starmind AI satellite based on an optimized NVIDIA Vera Rubin NVL72 system. SANTA CLARA, Calif., Aug. 24, 2026 (GLOBE NEWSWIRE) - NVIDIA today announced that SpaceXAI will deploy NVIDIA Vera CPUs to accelerate its next generation of agentic AI applications, bringing the first CPU built for AI agents to one of the world's most ambitious AI deployments. Agentic AI applications increasingly rely on CPUs to orchestrate tools, execute code, process data and run simulations between model calls. SpaceXAI will use Vera to accelerate these application workloads, helping AI agents act faster while keeping GPUs fed and fully utilized. SpaceXAI plans to expand its AI infrastructure behind Grok on NVIDIA Vera Rubin, while extending an optimized Vera Rubin NVL72 into space with its first-generation Starmind satellite. "Agentic AI requires a new kind of computing system - one built not only to generate answers, but to take action," said Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA. "Vera gives AI agents the CPU performance to act in real time - executing code, processing data and coordinating complex tasks. SpaceXAI is taking this architecture from massive AI factories to the next frontier of computing in orbit." "Vera gives us the CPU performance and memory bandwidth to run enormous amounts of orchestration, code and data processing while keeping GPUs doing what they do best," said Mike Nicolls, president of SpaceXAI. "That means higher-performance AI agents and more useful work from every watt of compute." NVIDIA Vera - The CPU for Agents NVIDIA Vera is the first CPU built for AI agents, designed to accelerate the CPU-intensive work that surrounds model inference - from tool use and code execution to data processing, orchestration and simulation. Vera features 88 NVIDIA-designed Olympus cores, NVIDIA Spatial Multithreading technology and high-bandwidth LPDDR5X memory, delivering up to 1.2TB/s of bandwidth. Vera enables up to 1.8x faster task completion compared with x86 CPUs across workloads including agentic AI, reinforcement learning and data processing. SpaceXAI Scales AI Infrastructure With NVIDIA Vera Rubin At massive scale, AI infrastructure must support demanding training, reasoning and inference workloads while maximizing performance, power efficiency and utilization. NVIDIA Vera Rubin is codesigned across compute, networking and software to optimize the AI factory as a whole. The platform brings together NVIDIA accelerated computing, NVIDIA NVLink(TM) interconnect technology, NVIDIA Spectrum-X(TM) Ethernet networking, NVIDIA BlueField(R) data processing and NVIDIA software in an integrated architecture designed to deliver high performance and energy efficiency at scale while driving down cost per token. As SpaceXAI expands toward gigawatts of computing capacity, Vera Rubin provides a common architecture to efficiently scale its next generation of AI factories - a foundation SpaceXAI plans to take beyond terrestrial data centers and into orbital computing. NVIDIA Accelerated Computing, From Earth to Orbit SpaceXAI's work with NVIDIA is moving beyond AI factories on Earth. SpaceXAI is developing AI computing infrastructure for orbit, where power, thermal management, bandwidth, reliability and physical integration impose dramatically different constraints from conventional data centers. SpaceXAI's planned first-generation Starmind AI satellite will be based on the optimized NVIDIA Vera Rubin NVL72 rack-scale system, extending the same accelerated computing architecture powering next-generation AI factories on Earth into space. NVIDIA and SpaceXAI are working to adapt that foundation to the requirements of orbital computing while preserving a common NVIDIA architecture and software ecosystem. This delivers one computing foundation across a wide range of environments: Vera CPUs accelerating increasingly sophisticated AI agents, Vera Rubin powering the AI infrastructure behind Grok and gigawatt-scale AI factories on Earth, and NVIDIA accelerated computing extending into orbital AI infrastructure. About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing. For further information, contact: Kacie Thomas Corporate Communications NVIDIA Corporation [email protected] Certain statements in this press release including, but not limited to, statements as to: SpaceXAI deploying Vera for these new application workloads while building its AI infrastructure on Vera Rubin - from AI factories on Earth to computing in orbit; expectations with respect to growth, performance, availability, and benefits of NVIDIA's products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA's third party arrangements, including with its collaborators and partners; expectations with respect to third parties' business plans and third parties' adoption of NVIDIA technology; expectations with respect to technology developments, and related trends and drivers; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the "safe harbor" created by those sections based on management's beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA's reliance on third parties to manufacture, assemble, package and test NVIDIA's products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA's existing products and technologies; market acceptance of NVIDIA's products or NVIDIA's partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA's products or technologies when integrated into systems; NVIDIA's ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on NVIDIA's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein. (C) 2026 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, NVIDIA Spectrum-X and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

Raison venture digest. Portfolio Company Updates: July 7 - August 21, 2026 The past six weeks were eventful: record revenue at Anthropic, the close of SpaceX's $60 billion Cursor deal, Kraken's application for a banking license, and a full pivot at Groq. Here is what happened across Raison's portfolio companies. SpaceXAI. The Cursor deal closes, a new Grok model, and a chip plant in Texas. The $60 billion acquisition of Cursor, which Raison FinTechnologies Inc. covered in the last issue, has officially closed. Almost immediately, SpaceXAI released Grok 4.6, its new flagship model. On the Artificial Analysis composite index, it sits on par with OpenAI's GPT-5.6 and one point behind Claude Fable 5. The model is available through Cursor, so the acquisition immediately became a distribution channel. To secure future compute, the company is building its own manufacturing. Tesla and SpaceX are starting construction of the Terafab chip plant in Texas, with an initial investment of $16.8 billion, though the full project could cost as much as $119 billion. The site will produce processors for Optimus robots, Cybercab self-driving taxis, and space-based data centers. Separately, it emerged that Google holds a stake in SpaceX worth $94.1 billion - roughly 6% of the company. And the SPCX listing drove tokenized equities trading to a record $3.86 billion in June, with almost a third of that volume coming from SpaceX tokens alone. Anthropic. IPO preparations, record revenue, and the race for compute. The company's revenue in the second quarter grew 14-fold year over year and passed $11.5 billion. That is actual revenue for the quarter, not the annualized run rate (ARR) that AI companies usually report. Against this backdrop, IPO preparations are gathering pace: the underwriters from Goldman Sachs, Morgan Stanley, and JPMorgan have begun meeting with investors, and a listing could come as early as October. Most of the company's spending goes on compute, and here Anthropic is lining up suppliers on several fronts at once. It will buy up to two gigawatts of capacity from AMD, while AMD, in turn, will invest up to $5 billion in Anthropic. In parallel, early-stage talks are underway with Meta about leasing compute capacity worth roughly $10 billion, and with TeraWulf,, the company has leased a data center under construction for 20 years at $19 billion, without raising a dedicated round for the deal. Anthropic has also confirmed that it is developing its own chip, designed around the company's future models. The business around the models is expanding too. Together with Blackstone and other investors, Anthropic launched Ode, a $1.5 billion company that embeds AI into the workflows of corporate clients. The bet is that the implementation market will prove no less valuable than the market for the models themselves. Meanwhile, an unreleased model from the company made progress on the Riemann hypothesis, a problem that has remained unsolved for more than 150 years. The dispute with the government continues as well. A judge questioned the grounds for banning Anthropic's technology across federal agencies, and it is now being decided whether the temporary lifting of that ban will become permanent. The company itself, meanwhile, disclosed two unreleased models already in use internally and raised its assessment of the risks associated with them in a 186-page report. Kraken. A European banking license application, new derivatives, and a bet on AI. Kraken is pursuing a full banking license in Europe and has filed its application in Lithuania. If it succeeds, the exchange will become the only crypto platform with that status, able to open accounts, issue loans, and provide access to equities trading across the European Economic Area. This continues a consistent strategy: back in May, Payward secured VARA authorization in the UAE, which Raison FinTechnologies Inc. covered in the last issue. The derivatives lineup is growing too. After perpetual futures, the exchange has launched USD-settled options on bitcoin and ether. Such instruments were once available mainly to professionals; now there is no need to manage crypto collateral. In parallel, the exchange is moving into the realm of artificial intelligence. Kraken is rebuilding its app around agentic trading: AI will monitor the market, assemble a draft portfolio, and propose trades, though they will only be executed once the user confirms them. Similar tools have already appeared at Coinbase and Gemini. And parent company Payward is expanding its xStocks tokenized equities platform to Hong Kong, the UK, Europe, and South Korea. Talking to Kraken should be like talking to your well-informed best friend who knows a lot about finance but also knows a lot about you, knows about your goals. Kamo Asatryan Chief Data Officer at Kraken, Payward Mercury. Cards for AI agents and a new spend management system. Mercury has launched Spend, a corporate spend management system with purpose-based budgets, automatic transaction categorization, and receipt capture. Separately, companies can issue dedicated cards for AI agents so they can make approved transactions while the business sees every move they make. Spend is also available to companies that bank elsewhere. Bolt. Booking rides through ChatGPT and package delivery. Bolt is broadening its range of services. Alongside rides, the company has launched Bolt Send, a delivery service for small packages, with orders placed just like a regular trip. The other notable update is its integration with ChatGPT across all markets it operates in: Bolt has become the first European ride-hailing service available through the chatbot. In the conversation, you can see the upfront price, compare route options, check the driver's arrival time, and complete the booking in the app. Payment directly inside ChatGPT is promised later this year. People don't plan their evening in five different apps anymore. Much of that planning happens in a single conversation with AI. Paddy Partridge Senior Vice President Groq. A $350M round and a pivot toward data centers. Groq has raised $350 million to fund a pivot. The company used to develop its own inference chips, but in December, Nvidia hired its founder and core team as part of a $20 billion licensing deal, with the proceeds going to investors. Groq now operates data centers powered by Nvidia hardware: 13 sites, with plans to scale from 54 to more than 200 megawatts by 2027. The new round values the company at $3.5 billion, down from $6.9 billion previously, though the company stresses that this is not a down round but rather a valuation of the business in its new configuration. Signal of the period. AI enters a new investment phase. Anthropic is preparing for an IPO, continuing a new trend of AI companies going public. After the SpaceXAI listing and the debuts of several Chinese model developers, this is another signal of sweeping change across the industry. Against this backdrop, the direction of investment is shifting as well. The capital cycle flowing directly into AI model development is gradually approaching its peak, while infrastructure and physical AI are only picking up speed. Valuations are rising for the companies building the "body" for AI: from robotics and chips to data centers and compute infrastructure. For the AI labs themselves, an IPO may turn out to be the last major funding round for several years to come rather than a steady source of new capital. Going public will allow them to raise substantial funds and continue growing without having to return to private investors regularly. The result is a striking shift: private capital financed the creation of AI models for years, and now the largest labs are entering public markets already holding a vast pool of resources. Meanwhile, the new investment cycle is moving toward infrastructure and physical AI. Infrastructure and physical AI still remain private markets, and these are exactly the shifts in the cycle Raison FinTechnologies Inc. watch for when Raison FinTechnologies Inc. select deals. Want to learn more about its investment solutions and gain access to exclusive Pre-IPO deals? Please contact its expert to get a personal consultation.

SpaceX completes $60 billion acquisition of AI coding platform Cursor. August 15, 2026 Reading Time: 2 minutes Key Takeaways: * SpaceX officially closed the $60 billion acquisition of Cursor maker Anysphere, one of the largest venture-backed startup acquisitions in history. * The Cursor team joins SpaceXAI to accelerate the development of Grok, enhancing core developer tools such as Grok Build, Grok Bot, and the Grok API. * The merger builds on a partnership established in April 2026 that granted Cursor direct training access to xAI's Colossus GPU supercluster. User Score SpaceX officially closed a $60 billion acquisition of AI coding platform Cursor (Anysphere), merging the team into SpaceXAI to supercharge Grok. Table of Contents Transaction history and acquisition terms. The closing concludes a multi stage transaction initiated earlier in the year following SpaceX's integration of xAI. Deal timeline and valuation. The companies first formed an alliance in April 2026, granting SpaceX an option to acquire Cursor for $60 billion or pay $10 billion for technical collaboration. SpaceX exercised the option on June 16, 2026, in an all-stock transaction that officially finalized on August 14, 2026. The purchase price represents a premium over Cursor's prior $50 billion private valuation. Payment structure and ownership. SpaceX issued Class A common stock based on its seven day volume weighted average price to fund the $60 billion transaction. Following the closing, Anysphere operates as a wholly owned subsidiary under the broader SpaceX umbrella. How Cursor and Grok will work together. SpaceX wants to make Grok to become the world's most capable AI system for software engineering and complex reasoning tasks. Strengthening the Grok developer ecosystem. The acquisition unites Cursor's editor experience with SpaceXAI's model infrastructure. The combined teams will focus on enhancing several core products: * Cursor: Continues active development as a premier AI native code editor * Grok Build: Integrates Cursor's workspace intelligence into xAI's autonomous coding agent * Grok Bot and Grok API: Enhances autonomous workflow execution, tool use, and enterprise developer integrations. Compute infrastructure and co trained models. Cursor previously resolved the primary training bottleneck by tapping into xAI's Colossus GPU supercomputer. Over recent months, the joint engineering teams trained specialized coding models on the cluster, with new model releases scheduled to power both Cursor and Grok Build in upcoming updates. Lindy McKenzie Lindy McKenzie brings over four years of experience analyzing the intersection of AI and global technology. She specializes in breaking down complex AI frameworks into clear insights. Lindy helps readers navigate the legal complexities of emerging tech and AI with confidence.