Vast.ai

GPT-OSS from OpenAI is a major win for open source AI and allowing companies to have control over their own data. We at vast.ai are proud to support GPT-OSS from Day 1 on our platform! Run GPT-OSS on your own infra with full control over reasoning depth (low → high). We made it easy to launch GPT-OSS on Vast.ai with vLLM. https://lnkd.in/eJjRQGYz

Whether you're building AI-powered applications, conducting research, or optimizing existing ML pipelines, this hybrid approach provides a practical path to cost-effective, controllable AI inference that doesn't sacrifice capability for economics.

OpenAI just open-sourced 120B and 20B models — and you can deploy them today on Vast.ai Run GPT-OSS on your own infra with full control over reasoning depth (low → high). We made it easy to launch GPT-OSS on Vast.ai with vLLM. __ Vast.ai

Benchmarking early helps you avoid inefficiencies down the line, and it shouldn't take hours to get started. That's where vLLM comes in.

In our blog, we break down the top recommended templates on Vast.ai and how you can use them to get your LLM project off the ground quickly and easily.

Introducing the Vast.ai Vulnerability Bounty Program. This is a new initiative we’ve created to help us improve, expand, and innovate our platform while making it more secure. Vast.ai’s mission is to provide the best GPUs for AI compute at accessible and affordable prices for everyone who needs it. With this bounty program, we’re inviting AI developers, researchers, and enthusiasts to collaborate with us. The launch of this program is in direct response to our community’s feedback, and we appreciate all the collaboration happening already.

Specs are just one part of the equation. Ultimately, choosing the right GPU depends on your workload, environment, and priorities.

The DeepSeek R1-0528 release introduces a significant improvement to the reasoning capabilities of language models by making it easier to access "thinking" mode without requiring complex prompt engineering or pre-pending thinking tokens. This enhanced model provides transparent, step-by-step reasoning that's particularly valuable for educational applications, complex problem solving, and scenarios where transparency in AI decision-making is crucial. Let's explore how to deploy the DeepSeek-R1-0528-Qwen3-8B model using vLLM on Vast.ai's cloud GPU platform, leveraging the new qwen3 reasoning parser that simplifies access to the model's internal thinking process.

The Vast.ai team is in Vancouver this week at ICML 2025! Find us in West Exhibition Hall A, at Booth K1. 👕 Swing by for swag, meet the team, and learn more about us 🎁 One lucky raffle winner will be walking away with a Nintendo Switch 2 this week! __ #icml #icml2025

Nearly every startup faces the same two pressures: to move fast and make every dollar count. Traditional cloud providers often aren't built with startups in mind. Vast.ai offers another path. Our market-based cloud GPU rental platform gives startups the flexibility to run powerful workloads without the usual friction.