Fixing Cold Start is the Real Lever for GPU Costs, Not Just UX
MaxChamp08 · reddit · 2026-08-05
The article points out that to avoid cold start latency, many ML teams keep GPUs running 24/7, which is the core reason for high infrastructure costs.
- Performance Benchmarks: If time-to-first-token for a 70B model (bf16) can be kept under 18s, and a 24B model with CUDA graphs under 10s, it makes "scaling to zero" practically viable.
- Core Conclusion: Solving cold start latency isn't just about UX; it is currently the most effective lever for reducing dedicated GPU costs.
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