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NVIDIA and Google Cloud announce the launch of the first A5X instances

On October 21, 2026, NVIDIA and Google Cloud announced at GTC Berlin that the first A5X instances equipped with NVIDIA Vera Rubin NVL72 are already running at one customer. The two companies plan to make them generally available in November 2026 and to expand the instances to Europe. A5X combines ConnectX-9 SuperNICs, Google Cloud's Virgo network, and fourth-generation liquid cooling, targeting large-scale agentic inference and reinforcement learning workloads; Google Cloud says it plans to scale this infrastructure to as many as 960,000 Rubin GPUs. The first customer is Ineffable Intelligence, a London-based company founded by David Silver, which will use it for large-scale reinforcement learning; WPP also demonstrated a creative agent architecture based on NVIDIA Nemotron models and OpenShell on A5X.

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On October 21, 2026, NVIDIA and Google Cloud announced at GTC Berlin that the first A5X instances equipped with NVIDIA Vera Rubin NVL72 are already running at one customer. The two companies plan to make them generally available in November 2026 and to expand the instances to Europe. A5X combines ConnectX-9 SuperNICs, Google Cloud's Virgo network, and fourth-generation liquid cooling, targeting large-scale agentic inference and reinforcement learning workloads; Google Cloud says it plans to scale this infrastructure to as many as 960,000 Rubin GPUs. The first customer is Ineffable Intelligence, a London-based company founded by David Silver, which will use it for large-scale reinforcement learning; WPP also demonstrated a creative agent architecture based on NVIDIA Nemotron models and OpenShell on A5X.

View story:NVIDIA and Google Cloud announce the launch of the first A5X instances

NVIDIA expands open-source Agent Toolkit and launches Agent Knowledge Foundation

On October 21, 2026, NVIDIA announced the expansion of its open-source Agent Toolkit and the launch of the Agent Knowledge Foundation. According to information published by the NVIDIA Newsroom that day, the expansion also adds the OpenShell secure runtime, the NemoClaw blueprint, and tools such as NeMo Relay and NeMo Compass. The Agent Knowledge Foundation includes CUDA-X libraries and the new Auto-Ontology library, and integrates the Nemotron Retriever and the Kumo family of open models, allowing enterprises to use it without migrating data or rebuilding existing workflows. The same source said that companies such as Palantir, Databricks, and Snowflake have already integrated the toolkit into their respective platforms. There are currently no subsequent independent developments.

Mistral and NVIDIA partner to develop AI-native engineering workflows

On October 21, 2026, Mistral and NVIDIA announced a partnership to develop AI-native engineering workflows, combining Mistral Large 4 with NVIDIA CUDA-X, Warp, and Omniverse to accelerate engineering simulation and close the loop between simulation, model development, and design. The two parties also plan to launch public benchmarks and open datasets for physical models, and to establish evaluations for agentic AI in CAE and EDA scenarios, examining tool calling, multi-step process completion, and execution time and compute cost. According to information released by Mistral AI, Mistral Large 4 has approximately 1 trillion total parameters and 49 billion activated parameters, was trained on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's data center in Europe, and the weights are planned for release at the end of October. The Decoder reported the same day that the partnership targets industries including aerospace, automotive, and semiconductors, and that Mistral plans to expand compute to 1 gigawatt by 2030. There is currently no further progress.

Mistral and NVIDIA partner to develop AI-native engineering workflows

On October 21, 2026, Mistral and NVIDIA announced a partnership to develop AI-native engineering workflows, combining Mistral Large 4 with NVIDIA CUDA-X, Warp, and Omniverse to accelerate engineering simulation and close the loop between simulation, model development, and design. The two parties also plan to launch public benchmarks and open datasets for physical models, and to establish evaluations for agentic AI in CAE and EDA scenarios, examining tool calling, multi-step process completion, and execution time and compute cost. According to information released by Mistral AI, Mistral Large 4 has approximately 1 trillion total parameters and 49 billion activated parameters, was trained on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's data center in Europe, and the weights are planned for release at the end of October. The Decoder reported the same day that the partnership targets industries including aerospace, automotive, and semiconductors, and that Mistral plans to expand compute to 1 gigawatt by 2030. There is currently no further progress.

View story:Mistral and NVIDIA partner to develop AI-native engineering workflows

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Mark Chen says signed 4+ GW of compute with NVIDIA

On August 17, 2026, OpenAI's Mark Chen stated that OpenAI has signed for 4+ GW of compute capacity with NVIDIA, calling it the scale needed for frontier training. The statement was posted as a tweet and quoted a related post by Jensen Huang. Available information does not disclose the specific amount, delivery timeline, or data center locations. There is currently no subsequent evidence-supported development; the event status remains at the above announcement.

Mark Chen says signed 4+ GW of compute with NVIDIA

On August 17, 2026, OpenAI's Mark Chen stated that OpenAI has signed for 4+ GW of compute capacity with NVIDIA, calling it the scale needed for frontier training. The statement was posted as a tweet and quoted a related post by Jensen Huang. Available information does not disclose the specific amount, delivery timeline, or data center locations. There is currently no subsequent evidence-supported development; the event status remains at the above announcement.

View story:Mark Chen says signed 4+ GW of compute with NVIDIA

X.PIN Announces Benchmark Test Results for Iluvatar CoreX Tiange 300

On October 30, 2026, X.PIN relayed and published benchmark test data for the Iluvatar CoreX Tiange 300. Its report claimed that in standard inference tests, the Tiange 300's throughput was 1.05 times that of the Nvidia H200; under MoE workloads, performance improved by 15% and first-token latency decreased by 30%; and when fine-tuning Qwen3-32B, its speed was 1.33 times that of the H100. There are currently no follow-up developments or official responses.

New York Times investigation claims Nvidia CEO Jensen Huang may be a target of Chinese espionage

On October 30, 2026, Nvidia responded to an investigative report by The New York Times. The report said that when U.S. intelligence agencies were investigating the chip transshipment issue, they surveilled individuals close to Nvidia CEO Jensen Huang and identified Alice Huang, an executive at the Singapore cloud service provider Megaspeed, as a suspected Chinese government intelligence officer. An Nvidia spokesperson said that Megaspeed is merely a regional cloud customer of Nvidia, that it is normal for Jensen Huang to communicate with thousands of customers each year, and that allegations that Megaspeed evaded export controls were thoroughly investigated and clarified last year, and that customers cannot access Nvidia's trade secrets or related national security information. Nvidia also said that if the U.S. government believes anyone poses a threat to American industry, it will inform the company.

View story:Nvidia responds to report that U.S. intelligence agencies surveilled people close to Jensen Huang

Anthropic Publicly Submits S-1 Registration Statement for Proposed IPO on Nasdaq

Anthropic publicly filed its Form S-1 registration statement on October 26, planning to list on Nasdaq under the ticker ANT. The prospectus shows that its revenue grew from $41 million in 2023 to $16.3 billion in the first half of 2026, with $11.6 billion in the second quarter alone and operating profit of $974 million; about 48% of first-half revenue flowed through Bedrock, Vertex and Azure Marketplace, and it listed NVIDIA compute commitments of up to $120.5 billion. Subsequently, on October 27, World Trade Securities estimated that its cash reserves could approach $400 billion by the end of 2027; in the cover letter of its IPO filing, Anthropic reiterated that Claude will not display ads, and on October 28 it acknowledged that its life sciences business lacks physical laboratory experience. On October 28, Goldman Sachs secured the lead-left seat on the prospectus, and TechCrunch reported that public shareholders have almost no say over board nominees. On October 29, the prospectus disclosed four previously unreported Agent safety incidents. On October 30, Reuters reported that its IPO fundraising cap could reach $100 billion; Steve Eisman accused the prospectus of deliberately omitting third-quarter data, and Anthropic has not yet responded.

Meta plans to raise up to $95 billion through an equity offering

On October 26, 2026, Meta Platforms announced plans to raise up to $95 billion through an equity offering, to be used for AI infrastructure, computing power, and personal superintelligence. The first round of transactions totaled $35 billion, of which about two-thirds came from common stock, and $12.5 billion in Series A depositary shares were issued; subsequently, it plans to raise up to an additional $60 billion through an at-the-market offering. NVIDIA, AMD, and Broadcom expressed interest in subscribing to a combined total of up to $5 billion in the Class A offering, but this is non-binding. On October 27, AMD announced a deep strategic partnership with Meta and invested $1 billion in Meta's equity offering. On October 28, Meta's $25 billion common stock offering was about five times oversubscribed.

Meta Shares AI Networking Innovations at OCP Summit

At the 2026 OCP Global Summit, Meta unveiled networking innovations supporting its latest AI models and its gigawatt-scale Prometheus cluster. The first liquid-cooled network rack introduced by Meta, IcePack, debuted alongside the 102.4T switch IceCube (128×800G, available with either Broadcom Tomahawk 6C or NVIDIA Spectrum-6). For scale-out, the Flattened Planar Fabric connects each GPU to eight network planes, simplifying the Clos architecture from 3 tiers to 2; for scale-across, Meta introduced BAG, a petabit-class super backbone connecting buildings, campuses and regions. Meta also introduced Tahan, an MTIA 300 Ethernet scale-up switch based on Broadcom Tomahawk5, and open-sourced its MetaRoCE software implementation, with the first user-space version, libsoftmetaroce, now available on GitHub.