CTO @ General Compute

San Francisco, CA
We raised $15m to build the ASICs-first inference cloud. We're betting big on alternatives to GPUs, and the result is that we are already 5-8x faster on most models. Read more about General Compute on Tech Crunch! @FPuklowski @fastinference techcrunch.com/2026/05/28/ha…
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A new GPU rack draws about 120kW and needs liquid cooling, so putting one into service means building or retrofitting a data center. A lot of decode silicon runs air-cooled at a fraction of that. It rolls into colo space that already exists
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Jason Goodison retweeted
Awesome surprise from @bjbaumann2014 and @NYSE. Thanks brother !
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I'm from a small town in Ireland called Wexford. Randomly theres another guy named Jason Goodison from the exact same town. Thats why my handle is GoodisonJason. I wonder how many messages he is getting asking for compute 😭
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Was a pleasure to chat! @MTSlive
General Compute CTO @GoodisonJason explains why GPT-4 conditioned us to believe slower AI means smarter AI, and why he'd now choose speed over intelligence: "Generation speed used to be a proxy for how smart the model was. GPT-3.5 Turbo was really fast, and then GPT-4 was really slow. I was okay to have it be slow because I at least had this proxy of, that’s a smart model." "Now open source models are catching up to the frontier. Many tasks don’t need the frontier anymore. So now you’re gonna start seeing people demand speed." "Even if the response was slightly worse, I would rather the fast information, because I know it already has sufficient intelligence to get the task done." @general_compute
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Jason Goodison retweeted
General Compute CTO @GoodisonJason predicts AI is about to have its broadband moment, making today's slow AI agents feel as outdated as dial-up internet: "We’re in the dial-up phase of AI right now, where people think it’s normal to run a few agents at a time and go for a cup of coffee while something is running. You wouldn’t start loading a website and walk away." "We’re moving into what we like to call the broadband moment of AI, where applications actually have to be interactive and fast." "It hasn’t really been brought to open source models, and it hasn’t been put in the hands of builders and founders to build completely new product experiences." "We’re the neocloud that actually buys the hardware and deploys it physically." @general_compute
🚨 Big news today: We’ve raised $100M for our Series A! 🎉 🚀 We believe demand for fast inference is many times larger than demand for slow inference, and it’s about to go exponential. Thanks to our co-leads @BlackbirdVC and @Abstractvc. Two visionary partners join our journey 🎉 🚀
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Excited to announce our $100m Series A, led by @Blackbirdvc and @AbstractVC. First ultra-fast tokens in Q1, and we are just getting started! If you're an engineer who wants to work with next-generation hardware, come join us!
🚨 Big news today: We’ve raised $100M for our Series A! 🎉 🚀 We believe demand for fast inference is many times larger than demand for slow inference, and it’s about to go exponential. Thanks to our co-leads @BlackbirdVC and @Abstractvc. Two visionary partners join our journey 🎉 🚀
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Jason Goodison retweeted
🚨 Big news today: We’ve raised $100M for our Series A! 🎉 🚀 We believe demand for fast inference is many times larger than demand for slow inference, and it’s about to go exponential. Thanks to our co-leads @BlackbirdVC and @Abstractvc. Two visionary partners join our journey 🎉 🚀
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This is the way
DeepSeek V4.1 Flash 1017 runs at 1,521+ tok/s on Fireworks Ultrafast. Fast enough to ship Tetris in 11 seconds, 7x faster than Claude Opus 5.5. Join the Ultrafast waitlist: bit.ly/3UA0wKq
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Jason Goodison retweeted
DeepSeek V4.1 Flash 1017 runs at 1,521+ tok/s on Fireworks Ultrafast. Fast enough to ship Tetris in 11 seconds, 7x faster than Claude Opus 5.5. Join the Ultrafast waitlist: bit.ly/3UA0wKq
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Jason Goodison retweeted
Our heterogeneous cloud just got better. We're announcing a cluster scale deployment of @positron_ai as our next partner. We believe demand for fast inference will outstrip supply for the next decade. Our bet on Positron is another step towards getting fast inference for opensource models into builders' hands. Hardware goes live Q1 2027. Thanks to @mitesh711, @trsohmers and the whole Positron team! We're excited for this partnership. LFG!
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Excited to partner with @positron_ai. We go live in Q1 2027. We've spent a lot of time with @mitesh711, @trsohmers and the whole Positron team. I am really excited about what they have built and continue to develop. Decode is a memory problem. Positron builds it's chips with a memory-first architecture. GPUs on prefill, Positron on decode in @general_compute nitter.siddz.com/general_compute/status…
Our heterogeneous cloud just got better. We're announcing a cluster scale deployment of @positron_ai as our next partner. We believe demand for fast inference will outstrip supply for the next decade. Our bet on Positron is another step towards getting fast inference for opensource models into builders' hands. Hardware goes live Q1 2027. Thanks to @mitesh711, @trsohmers and the whole Positron team! We're excited for this partnership. LFG!
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Jason Goodison retweeted
Compute & Cocktails 🍸 How do you finance AI infra? @medshelton_ (@GeneralCompute) + Stanley Lee (Liquid Compute) on underwriting compute, getting past prepay and the right debt/equity mix. 📍 Dawn Club, SF · Wed, Oct 28 Request to join → luma.com/g9h2d9ai
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1.5B! Insane @tenstorrent. We'll done. I've been programming with TT-Metal and TT-NN for the last week in my spare time. Great software and awesome team
We raised $1.5B to deploy Galaxy globally. Thanks to our lead investors Trace Capital and Innovation X for backing that growth. More to come: tenstorrent.com/newsroom/ten…
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Keep up the great work @opencode. Its a fantastic product, and incredible team, and you guys are handling this situation extremely professionally
We had a security breach last night related to a large scale distillation attack that impacted 1.4% of OpenCode Console users We have notified them all this morning via email. If you did not get an email you were not impacted, it was a subset of users who had external providers linked The incident is ongoing so we cannot share more details at this point but we are working with Anthropic, OpenAI, and Google to remediate
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Center stage for @GoldenGateVC's panel in Singapore last weekend. Thanks for having me @vlauria. Great to be a part of F1 Founders Rally! AI is the biggest capital deployment in history, and it’s still capital constrained. For alternative silicon, it’s even tighter. Demand for fast tokens has gone exponential in 6 months. Capital is following it to alternative accelerators. @general_compute is in pole position to deliver this.
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Today we are announcing our biggest bet yet on our own silicon. Starting next calendar year, we will scale our Maia family to multi-gigawatt deployments, making it the primary inference system for our own product and services. And we’re introducing Maia 300, which delivers 40% more tokens per watt compared to leading GPU-based systems. We are already deploying Maia 200 across the US, Europe, and Australia, delivering up to 1.7x more tokens per watt across experiences in Teams and Copilot. Our goal is to build on the full-stack efficiency gains we’ve already seen, while continuing to bring the latest innovations from across the ecosystem into our fleet.
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The hard part of splitting prefill and decode isn't the split. It's picking the ratio. Get it wrong and half your fleet sits idle while the other half queues. And the right ratio moves through the day as traffic shifts between input-heavy and output-heavy work. @sgl_project shipped a fix for this last week: a node can now switch between prefill and decode without a restart. Big win and awesome work to their team
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