NVIDIA: Jensen Huang resigns
12 Nov 2026NVIDIA's board announced that Jensen Huang, who co-founded the company 33 years ago, has resigned as president, chief executive and board member with immediate effect. Colette Kress, the chief financial officer since 2013, is interim chief executive and will stay on as CFO while the board searches inside and outside the company for a permanent successor. Harvey C. Jones, a former chief executive of Synopsys, becomes the board's first-ever chair. The board says it expects operations, customer commitments and the product roadmap to continue without interruption. NVIDIA's announcement gives no reason for the resignation. I have left out press reports about the circumstances, because I could not verify them from a primary source. NVIDIA will report its third-quarter results on 17 November as planned.
NVIDIA: an AI data centre in a shipping container
21 Oct 2026At GTC in Berlin, NVIDIA announced the DSX Pod AI Factory: seven Vera Rubin racks packed into a shipping container weighing about 28,000 kg, which can be delivered by lorry. NVIDIA says it can cut the time for a new AI data centre to start serving from about six months to 14 days. CNBC reports that deliveries are expected from early 2027 and that analysts estimate the cost at more than $7 million per rack.
Google Cloud and TPUs
A5X on Vera Rubin NVL72
21 Oct 2026Google Cloud's A5X instances, built on NVIDIA Vera Rubin NVL72 systems, are due to become generally available next month, with expansion to Europe planned. NVIDIA says Google plans to deploy up to 960,000 Rubin GPUs. The first named customer is London-based Ineffable Intelligence, founded by David Silver.
Google TPUs on Oracle Cloud
27 Oct 2026Google and Oracle announced that Google's TPU chips will be offered through Oracle Cloud Infrastructure, making Oracle the first hyperscaler outside Google to offer them. Capacity is due from calendar 2027. Google says its eighth-generation TPUs, announced in April, reach up to 12.6 petaflops of FP4 compute per chip. It is a notable shift: TPUs have until now been a reason to use Google's own cloud.
Running frontier-scale models locally
28 Oct 2026NVIDIA says RTX Spark Windows laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI, with up to 128 GB of unified memory and up to 1 petaflop of FP4 AI compute. The 4 GB Nemotron 3.5 Bolt E4B model is now out for PCs, along with a new open-weight speech model, Nemotron 3.5 Transcribe.
Small models are getting more capable too. Liquid AI's LFM3 text model fits in about 1 GB at 4-bit, and at the large end Meta says its open-weight Muse Spark Open (816B total parameters, 42B active) runs on two Apple Mac Studios with M5 Ultra chips. A model of that size can now run on equipment a small business could buy.
Data-centre campuses and local communities
5 Nov 2026OpenAI published a community compact for the compute campuses it owns and operates, and a policy blueprint for lawmakers. It promises to pay the full cost of the power and grid upgrades it needs, publish water and electricity use, and avoid NDAs with public officials. At its planned Effingham County, Georgia, campus, OpenAI says its agreement with Georgia Power lets the utility cut the power delivered to it by up to 1,000 megawatts when demand is high. It also cites a $4.8 million grant for free school meals in Effingham County and a joint $6 million childcare commitment in Pike County, Ohio. See the policy page for the commitments in detail.
Training at scale: Inkling 2 Small
5 Nov 2026Thinking Machines Lab says its new model's first pre-training phase covered 8.4 trillion tokens and ran for 68 hours on NVIDIA GB300 NVL72 racks, with training carried out in NVIDIA's 4-bit NVFP4 format. It says the main reinforcement-learning run used 2,048 GPUs for nine days and more than 4 × 1023 floating-point operations. These are the company's own figures, and it says more detail on the NVFP4 recipe will follow.
China: DeepInfer and Huawei Ascend
Oct 2026DeepSeek has published DeepInfer on GitHub, an inference engine for its DeepSeek-V4.1-Flash model. It supports NVIDIA's Blackwell-generation (SM100) GPUs and Huawei's Ascend 950 chips. The public release covers offline inference only. DeepSeek says its KV cache system, disaggregated serving and load balancing are not included. Support for a Chinese accelerator alongside NVIDIA is the notable part, in the same week that the US ordered federal civilian agencies to remove DeepSeek (see the policy page).
Europe's build-out
Mistral says Large 4 was trained on 3,800 NVIDIA Grace Blackwell GPUs in its own European data centres, funded by a €3 billion Series D. Taken together with Google's planned A5X expansion to Europe and NVIDIA choosing Berlin for GTC, it shows the AI infrastructure race reaching Europe. In the UK, a London start-up is the first named A5X customer.
The economics: Anthropic's IPO, cheaper tokens, huge user numbers
- Anthropic files to go public: on 26 October Anthropic filed an S-1 with the US SEC for a proposed listing on the Nasdaq Global Select Market under the ticker "ANT". The number of shares and the price have not been set. The filing shows revenue of $16.286 billion in the first half of 2026, up from $1.163 billion a year earlier, and an operating loss of $693 million. The net loss was $80.748 billion, mostly a $72.388 billion accounting charge for changes in the fair value of convertible notes, derivatives and SAFEs, not cash spent on running the business.
- Prices: OpenAI says GPT-6 Sol and Luna are 50% cheaper than GPT-5.6 promotional pricing. Anthropic says Opus 5.5 costs about 40% less than Opus 5 on typical workloads, and Haiku 5.5 about 75% less than Haiku 4.5. Gemini 4 Argon launched at an introductory $2 / $10, and Google says Carbon will start at the same price. OpenAI's new GPT-6.1 Terra costs $1 / $5.
- Scale: OpenAI reports 1.2 billion weekly users and more than 3 billion images created a week in ChatGPT.
- The cost of safety: OpenAI says safety monitoring of its models adds about 20% overhead, which shows up in computing budgets.
- The cost of finding bugs: OpenAI says its mid-October Linux kernel run cost $1,213,430 in API credits, or $1,279 for each of the 948 privilege-escalation flaws it counts, and that a July run with an earlier model cost $513,690 for 166 (my post).
- Anthropic's IPO roadshow: on 10 November Anthropic launched the roadshow for its proposed listing: 825 million shares, of which 801,351,354 are offered by Anthropic and 23,648,646 by existing shareholders, at an expected $70 to $78 each, plus an option for underwriters to buy up to 123.75 million more. It has applied to list on Nasdaq as "ANT".
- This week's prices: Claude Fable 5.2 costs $8 / $40 per million tokens, 20% less than Fable 5.1. Gemini 4 Hydrogen costs $1.50 / $7.50 flat across its 1M-token window. Meta's Muse Ember matches Luna and Haiku 5.5 at $0.10 / $0.50. Gemini Decision 1 charges $0.10 per million input tokens and nothing for output. SecurityWeek reports that Gemini 4 Carbon's introductory $2 / $10 runs until 30 November and then doubles.
- Cheaper video: Google cut the price of Gemini Omni 1.2 Flash by 30% to $0.07 per second of 720p video.
What I left out
I could not confirm several widely repeated hardware and industry claims from a primary source, so I have left them out for now. This week that includes press reports about the reasons for Jensen Huang's resignation and NVIDIA's share-price moves, the expected pricing and trading dates for Anthropic's IPO, and independent per-task cost measurements for Claude Fable 5.2, which I saw only in newsletter summaries. If a primary source confirms them, I will add them.
Sources
- Nvidia announces Vera Rubin racks that can be shipped on a truck — CNBC (21 October 2026)
- Setting a new standard for responsible AI infrastructure — OpenAI (5 November 2026)
- Introducing Inkling 2 Small — Thinking Machines Lab (5 November 2026)
- A thousand fewer paths to root — OpenAI (4 November 2026)
- Gemini Omni 1.2 Flash: 15-second video and lower pricing — Google (5 November 2026)
- Google Cloud and NVIDIA Vera Rubin infrastructure — NVIDIA Blog (21 October 2026)
- Google and Oracle are partnering to bring Google TPUs to Oracle Cloud Infrastructure — Google Cloud (27 October 2026)
- Anthropic files S-1 with the SEC for proposed initial public offering — Anthropic (26 October 2026)
- NVIDIA RTX Spark Windows laptops gain new models, agent tools and games — NVIDIA Blog (28 October 2026)
- Introducing LFM3: Every Modality for Specialized Intelligence — Liquid AI (27 October 2026)
- DeepInfer — DeepSeek on GitHub (accessed 23 October 2026)
- Introducing Mercury 3 — Inception (19 October 2026)
- Muse Spark Open — Meta AI research blog (15 October 2026)
- Mistral Large 4 — Mistral AI (6 October 2026)
- Introducing GPT-6 Sol and Luna — OpenAI (22 September 2026)
- Introducing GPT-6.1 Terra — OpenAI (26 October 2026)
- Claude Opus 5.5 — Anthropic (22 September 2026)
- Claude Haiku 5.5 — Anthropic (7 October 2026)
- Introducing Gemini 4 Argon (general availability) — Google (13 October 2026)
- Gemini 4 Carbon: our next frontier model — Google (28 October 2026)
- DevDay 2026 recap — OpenAI (29 September 2026)
- Introducing ChatGPT Images 2.5 — OpenAI (8 September 2026)
- Pacing model development around cyber capabilities — OpenAI (18 August 2026)
- NVIDIA announces CEO transition — NVIDIA Newsroom (12 November 2026)
- Anthropic launches roadshow for proposed initial public offering — Anthropic (10 November 2026)
- Introducing Claude Fable 5.2 and Claude Mythos 5.2 — Anthropic (9 November 2026)
- Introducing Gemini 4 Hydrogen — Google (12 November 2026)
- Introducing our smallest, most efficient model: Muse Ember — Meta (9 November 2026)
- Gemini Decisions API — Google (11 November 2026)
- Google Widens Gemini 4 Carbon Access After AI Agents Verify Signal Code — SecurityWeek (10 November 2026)
Figures quoted from company announcements are the companies' own claims. Independent testing may give different results.