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GPUWorks

A 40 MB GPU cluster manager for vLLM/SGLang, no K8s needed

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HN · launched Nov 4, 2026 · 30 upvotes (top 21%) · 0 views

Niche: llm inference and deployment tools · 183 launches, 7 in the last 7 days ▲ +40% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product

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Could you build this?

Partial The dashboard and deployment flows are straightforward to vibe-code, but a real multi-node GPU manager needs reliable scheduling, networking, and failure recovery across machines.

What it would actually take: A real version would likely be a Go or Rust control plane with agents on each GPU host, talking over SSH or gRPC, and launching vLLM/SGLang as containers or processes. The hard parts are GPU inventory and placement, NCCL/RDMA-aware networking for multi-node tensor parallelism, health checks, and recovery from node or GPU failures. Building it well requires distributed systems and GPU infrastructure experience, plus a real multi-GPU test cluster to validate against.

Discussion

4 comments analyzed.

Competitors mentioned: Kubernetes

Concerns raised: unclear how public and private cloud pooling works, unclear societal benefit

Competitors

Other products that read as similar to this one : 3439 launches clear the similarity bar, closest 8 shown.

Attention rank: #751 of 3440 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 371 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.