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Distributed compute needs to be deployed with speed, scale, and sovereignty. Dan Wright joined Bloomberg Technology this week to talk about Galleon Forge One, our Series B, and the infrastructure buildout required to meet growing demand for inference, fine-tuning, and distributed model deployment at scale. The next wave of... show more

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Holograms in sci-fi always had two ingredients: intelligence and immersion. Luis | Mawari shares why XR + AI can only scale with distributed compute, and not the traditional systems built for video streaming. This is the infrastructure required for the next era of computing 👇🏻

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When we first met Tom, his obsession with energy markets came through immediately. Seemed random, but it's "actually" central to what he's building at Actual Computer. The thesis is that local inference is inevitable. Open source models are getting good enough, people don't want to feed their thoughts to AI labs, and demand for compute will continue to be insatiable. But the main forcing function is that chips aren't the bottleneck anymore - power is. Compute is derivative of energy, and the massive data center buildout has created an energy shortage where GPUs sit idle waiting for power to come online. Yet one place that already has power, and always will, is everywhere else. Homes. Businesses. Universities. Collectively, they have more compute than all the data centers combined. Tom Lynch goal is to build a distributed network of people plugging in their local compute (devices like Mac minis to consumer Nvidia cards) to serve inference demand. The substrate he's chosen is Bittensor, on Subnet 95. Actual Computer has an exceptional team behind it, and this is one of the projects that's gotten me most excited in a long time. Enjoy this conversation with the two of us!

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We need to scale up the Kardashev scale ASAP We need to massively scale energy production and look at new algorithms/forms of compute for greater utilization/efficiency with our current grid

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Theta offers GPU compute matched to your workload, instant and affordable. No more paying for what you don't use. No more H100s when distributed inference will do. Sign up at No call required. 🖥️

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