SourceReddit r/LocalLLaMA•Stalecollected in 24m
V100 Prompt Speeds for Agentic Coding
#prompt-speed#legacy-hardware#agentic-codingqwen3v100qwen3flash-attention
💡Find optimal V100 speeds for Qwen3 agentic coding—fix your long-context bottlenecks
⚡ 30-Second TL;DR
What Changed
Optimizing ancient 4x V100s for Qwen3 inference
Why It Matters
Reveals challenges in legacy hardware for modern LLMs, guiding optimizations for cost-effective agentic AI on V100 clusters.
What To Do Next
Test flash-attention fork implementations on V100s to boost Qwen3 long-context prompt speeds.
Who should care:Developers & AI Engineers
Key Points
- •Optimizing ancient 4x V100s for Qwen3 inference
- •No flash attention causes long-context slowdowns
- •Asking for acceptable speeds in agentic coding
- •Targets prompt processing and context lengths
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Original source: Reddit r/LocalLLaMA ↗
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