Salamander

What it does

As an aspiring deep learning researcher setting up an ML-ready server sucked. It was expensive and hard! To create the best possible future it's essential to make doing science easier, and that's why I created Salamander. $1.17 per hour for a V100 GPU. Better features than Paperspace, AWS & Google Cloud for half the price.

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  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…

• SF
  San 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&#x2F;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…

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  Running DeepSeek V3 (685B) requires 8×H100 GPUs which is about $14k&#x2F;month. Most developers only need 15-25 tok&#x2F;s. sllm lets you join a cohort of developers sharing a dedicated node. You reserve a spot with your card, and nobody is charged until the cohort fills. Prices start at $5&#x2F;mo for smaller models. The LLMs are completely private (we don't log any traffic). The API is OpenAI-compatible (we run vLLM), so you just swap the base URL. Currently offering a few models.

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• IM
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