GPU.LAND

What it does

GPU.LAND offers GPU instances for Deep Learning — at dirt-cheap prices. How cheap? Up to 80% cheaper vs major cloud providers. We believe everyone, and not just "Big Tech", should be able to train AI models. So we built the cheapest place on the web to do it.

vEdge is a GPU cloud compute platform making computing affordable and accessible.

vGPUs lower costs by letting multiple workloads share the same hardware while keeping startup fast for training and deployment. vEdge focuses on the expensive parts of machine learning infrastructure: fast access, clean deployment paths, and lower cost for workloads that do not need an entire GPU. Start training in seconds and scale parallel workflows when hyperparameter tuning or batch jobs need more capacity. Choose from images with machine learning tools already installed, or deploy your own Docker image when your stack needs full control. vEdge shares GPU hardware across multiple users, which drives down costs and makes scaling faster for smaller workloads. Join the waitlist for launch…from vedge.cloud

• CG
  Cloud GPUs for Deep Learning – At 1/3 the Cost of AWS/GCP2021 · gpu.land · ▲168

  vEdge is a GPU cloud compute platform making computing affordable and accessible.

• TC
  TensorDock 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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