sllm – Split a GPU node with other developers, unlimited tokens
Running DeepSeek V3 (685B) requires 8×H100 GPUs which is about $14k/month. Most developers only need 15-25 tok/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/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.
sllm – Split a GPU node with other developers, unlimited tokens launched on April 4, 2026 with 188 votes, #153 of 21,248 launches that month and more than 99% of that year's launches.
In plain words
sllm allows developers to share GPU nodes and access large language models at reduced cost. Multiple developers join a cohort on a dedicated GPU, each reserving a spot with their payment card, and charges only apply once the node fills. It offers OpenAI-compatible API access to models like DeepSeek V3, starting at $5 per month for smaller models, with no traffic logging or data retention.
written from the facts on this page · September 2026
Does a similar job
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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…
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