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L9gpu

GPU telemetry that ties each GPU to the K8s pod or Slurm job

Details

External ID
48811382
Source
HN
Company
—
Product
L9gpu
Website domain
github.com
Launched
July 6, 2026
Cohort
—
Upvotes
20
Upvotes percentile
0.7162485065710872
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
gpu compute and acceleration tools
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
Not AI
Project type
Commercial product
Normalized one-liner
gpu telemetry for kubernetes
Manually corrected
False

Could you build this?

Partial Building dashboards is vibe-codeable, but writing a low-overhead daemon that probes low-level NVIDIA NVML metrics and correlates GPU hardware PIDs with Kubernetes cgroups and Slurm job allocations requires non-trivial systems knowledge.

What it would actually take: The architecture requires a Go/Rust daemon running on host nodes that queries NVIDIA NVML/DCGM C APIs, inspects Linux cgroups (`/sys/fs/cgroup`) to map PIDs to container namespaces, and queries Kubernetes API servers or Slurm daemon sockets. The core difficulty is reliable, low-overhead kernel-level mapping between GPU compute processes and ephemeral orchestrator job identifiers.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 734 launches clear the similarity bar, closest 8 shown.

Attention rank: #229 of 735 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 250 days after the earliest competitor.

Other launches for this product

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