newsReddit r/MachineLearningTrust 52 · CommunityPublished 1mo agoLive · 1mo ago
GPUHedge: Hedging serverless GPU providers improves cold start p95 latency from 117s to 30s [P]
Disclosure: I built it, it is open source, Apache-2.0 licensed, and currently alpha. Repository: https://github.com/mireklzicar/gpuhedge I started working on it after benchmarking a 17 GB AI model across several serverless GPU providers. On the primary provider, requests usually either completed in roughly 6–8 seconds or took around 90–122 seconds after a fresh GPU cold start. Simply switching t
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 57%beam-cloud/beta9 →
- PossiblePossibly related (embedding) · 49%WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs →
- PossiblePossibly related (embedding) · 46%NVIDIA/aicr →
- PossiblePossibly related (embedding) · 46%gpustack/gpustack →
- PossiblePossibly related (embedding) · 46%noumena-labs/Sipp →
- PossiblePossibly related (embedding) · 46%AMD-AGI/Magpie →