Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
ANGESTROM

The Intelligence Layer of Humanity. Everything AI. All in One Place.

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom Intelligence Private Limited. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /Erwan923/gpu-infra-lab
Read original ↗
repoGitLabTrust 82 · PrimaryPublished 6d agoLive · 6d ago

Erwan923/gpu-infra-lab

GPU Inference Reliability Lab — vLLM + Mistral-7B sur k3s/Scaleway L4, observabilité DCGM/Prometheus, SLO, runbooks, bench FP16/FP8 mesuré au watt.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Covers

newsWe'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D]newsKicking off GPU Mode [D]newsIf your GPU can run inference, it should be able to fine-tune too. [P]

Covers (incoming)

newsMadlad builds homebrew GPU using 8,192 RISC-V chipsnewsHy3 (295B MoE) and NVIDIA Nemotron-Labs-Audex-30B-A3B (audio-capable 30B MoE) GGUF quants

Related across the graph

newsMadlad builds homebrew GPU using 8,192 RISC-V chipsnewsHy3 (295B MoE) and NVIDIA Nemotron-Labs-Audex-30B-A3B (audio-capable 30B MoE) GGUF quantsnewsKicking off GPU Mode [D]newsWe'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D]newsIf your GPU can run inference, it should be able to fine-tune too. [P]
Knowledge path·NMadlad builds homebrew GPU using 8,192 RISC-V chips→NHy3 (295B MoE) and NVIDIA Nemotron-Labs-Audex-30B-A3B (audio-capable 30B MoE) GGUF quants→NKicking off GPU Mode [D]→RErwan923/gpu-infra-lab

Topics

gitlabopen-source

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary