Leveraging open-source LLMs for production
This talk examines using open-source LLMs for real-world purposes. It compares the benefits and drawbacks of open-source LLMs to proprietary options like OpenAI. The discussion covers the economics of hosting open-source LLMs, highlights serving frameworks, explores cloud GPU availability, gives an overview of key open-source LLMs, and shows how to run and refine these models using the dstack open-source tool.
Speaker:
Andrey is the founder of dstack, an open-source toolkit for orchestrating GPU workloads across clouds. Prior to this, Andrey worked at JetBrains with the PyCharm team.
DeepSeek released DeepSeek-V4, an open-source 1.6-trillion-parameter model with a one-million-token context window that achieves near-frontier performance at roughly one-sixth the API cost of GPT-5.5 and Claude Opus 4.7.
ComfyUI raised $30M to scale its open-source platform that gives creators granular, node-based control over AI-generated media, addressing the limitations of prompt-based tools. ComfyUI now serves over 4M users and has become essential infrastructure for production studios and creative agencies.
Cohere and Germany's Aleph Alpha are merging to create a $20 billion transatlantic AI powerhouse focused on sovereign AI solutions, targeting the $600 billion market for organizations seeking independence from dominant US and Chinese AI providers.
OpenAI released GPT-5.5, a model that achieves state-of-the-art performance across coding, knowledge work, and scientific research while preserving efficiency. GPT-5.5 marks progress toward OpenAI's vision of an AI "super app" combining ChatGPT, Codex, and browser capabilities.
Tomorrow marks the opening of Imagine Next — Silicon Valley’s Global Climate Tech Capital Summit, bringing together founders, investors, corporates, and system leaders to accelerate planet-first innovation.
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