Epochly
Train AI models 1000x faster than your local laptop.
Epochly launched on March 6, 2026.
What it does
I was tired of my laptop sounding like a jet engine every time I trained a model. So I built Epochly: a cloud GPU infrastructure that's 1000x faster than local machines. Train in minutes, not days. Join our beta and get $20 in free credits!
Does a similar job
all alternatives →- SFSan Francisco Compute – 512 H100s at <$2/hr for research and startups2023 · sfcompute.org · ▲727
Hey folks! We're Alex and Evan, and we're working on putting together a 512 H100 compute cluster for startups and researchers to train large generative models on. - it runs at the lowest possible margins (<$2.00/hr per H100) - designed for bursty training runs, so you can take say 128 H100s for a week - you don’t need to commit to multiple years of compute or pay for a year upfront Big labs like OpenAI and Deepmind have big clusters that support this kind of bursty allocation for their researchers, but startups so far have had to get very small clusters on very long term contracts, wait…
General ComputeMay 2026 · generalcompute.com · ▲315AI models that run on an inference cloud optimized for speed

- TCTensorDock Core GPU Cloud – GPU servers from $0.29/hr2022 · tensordock.com · ▲147
Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…


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