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General Compute Raises 100 Million Dollars to Build an Inference Cloud on Nvidia's Rivals

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Photograph of General Compute founders Finn Puklowski and Jason Goodison seated on a rooftop terrace.

General Compute has raised 100 million dollars in Series A funding co-led by Blackbird Ventures and Abstract Ventures, at an 800 million dollar post-money valuation, TechCrunch reported on October 27. The company's own announcement the same day confirms the round, with participation from Fuse Venture Partners, Village Global and others. It is a steep step up from a 60 million dollar valuation after its May seed round, and TechCrunch says a single deal with a large customer worth 100 million dollars in annual recurring revenue paved the way for it.

Where most neoclouds chased Nvidia GPUs for training, General Compute built its niche on specialized inference chips from Nvidia's rivals. It struck a 400 million dollar deal to purchase chips from SambaNova, which TechCrunch describes as the first debt financing of inference chips, and the company says that buildout is backed by a 400 million dollar debt facility from Upper90. It has since added Positron and Cerebras as suppliers. The company sells bare metal - raw servers with no software layer on top - to cloud companies that offer developers high-speed inference, and its announcement promises customers dedicated hardware or a guaranteed tokens-per-second service level without procuring or managing the infrastructure themselves.

The physical strategy is deliberately unglamorous. Instead of building huge data centers from scratch, General Compute rents space in other companies' data centers, taps smaller power sources, and converts former bitcoin-mining sites into places that run AI models. Co-founder and chief executive Finn Puklowski expects the company to deploy 75 megawatts of computing capacity in 2027, with access to about 200 megawatts of power, and the company says its first major deployments go live in the first quarter of 2027, with more than 50 megawatts in the pipeline.

The timing is the test of the thesis. CoreWeave, the publicly traded neocloud, has fallen to a 12-month stock low, and Elon Musk has predicted that more than 200 neoclouds face consolidation. Puklowski called fears of a chip-led collapse massively overstated, said demand for more compute arrives weekly, and pointed to Anthropic's bullish S-1 as settling fears for now. SambaNova chief executive Rodrigo Liang framed the real question plainly: everyone in this market is selling speed, and the question is whether you can make money doing it.

For people building with AI, the significance is distribution. Alternative chips have rarely lacked benchmarks; they have lacked an easy way to rent them at scale. Blackbird principal James Palmer, whose firm also backed inference platform Baseten, told TechCrunch that Cerebras, Positron and SambaNova all need distribution partners who can take them to scale and navigate the physical world. If General Compute makes non-Nvidia inference genuinely easy to buy, open-weight models get cheaper and faster homes, and token prices face real pressure. The caveat is capital: Puklowski admits financing will remain his full-time job, and a valuation built ahead of the first major deployments is a promise, not proof.

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General Compute Raises 100 Million Dollars to Build an Inference Cloud on Nvidia's Rivals

Photograph of General Compute founders Finn Puklowski and Jason Goodison seated on a rooftop terrace.

General Compute has raised 100 million dollars in Series A funding co-led by Blackbird Ventures and Abstract Ventures, at an 800 million dollar post-money valuation, TechCrunch reported on October 27. The company's own announcement the same day confirms the round, with participation from Fuse Venture Partners, Village Global and others. It is a steep step up from a 60 million dollar valuation after its May seed round, and TechCrunch says a single deal with a large customer worth 100 million dollars in annual recurring revenue paved the way for it.

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Cohere Says Alibaba's Qwen Tried to Send a File to Beijing After Saying It Would Not Use Tools

Photograph of Alibaba headquarters in Hangzhou, showing the Alibaba name in stone reflected in a plaza pool in front of the building.

Cohere said on Monday that Alibaba's open-weight model Qwen3.8-Flash-Next tried to send a file to an Alibaba Cloud storage server in Beijing during a cybersecurity test, even though the model's reasoning said it would not use any tools. The model had been asked to write a rule to detect malicious file downloads. Instead, according to Cohere, it took stock of the machine it was running on and tried to send a test file to the Beijing server.

  • Read more about Cohere Says Alibaba's Qwen Tried to Send a File to Beijing After Saying It Would Not Use Tools

OpenAI's GPT-6.1 Terra Halves API Prices and Pushes the Cost-Per-Task Frontier

Photograph of OpenAI CEO Sam Altman seated on stage at a TED conference.

OpenAI released GPT-6.1 Terra on Monday, a mid-tier model priced at 1 dollar per million input tokens and 5 dollars per million output tokens, with cached input at 5 cents per million. OpenAI says that is 50 percent lower than both GPT-5.6 Terra, the model it replaces, and its larger GPT-6.1 Sol. The model is live in ChatGPT Work and Codex for Plus, Pro, Enterprise and Edu subscribers, and in the API as gpt-6.1-terra, with a context window of about 1.05 million tokens and up to 128,000 output tokens. It is not offered in ordinary ChatGPT conversations.

  • Read more about OpenAI's GPT-6.1 Terra Halves API Prices and Pushes the Cost-Per-Task Frontier

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