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. /jmaczan/tiny-vllm
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

jmaczan/tiny-vllm

Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM

Lineage graph

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

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) · 61%OpenAI and Broadcom announce chip designed for LLM inference at scale →
  • PossiblePossibly related (embedding) · 59%OpenAI and Broadcom unveil LLM-optimized inference chip →
  • PossiblePossibly related (embedding) · 57%Hardware startup unveils inference accelerator →
  • PossiblePossibly related (embedding) · 54%A barebones CPU-only inference engine for Qwen 3, written from scratch in pure C →
  • PossiblePossibly related (embedding) · 53%I mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset) →
  • PossiblePossibly related (embedding) · 49%Gemma 4 12B - MLX Kernel →
  • PossiblePossibly related (embedding) · 56%We'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D] →

Covers

newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsOpenAI and Broadcom unveil LLM-optimized inference chipnewsHardware startup unveils inference acceleratornewsA barebones CPU-only inference engine for Qwen 3, written from scratch in pure CnewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)

Covers (incoming)

newsGemma 4 12B - MLX KernelnewsWe'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D]

Related across the graph

newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsOpenAI and Broadcom unveil LLM-optimized inference chipnewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsWe'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D]newsHardware startup unveils inference acceleratornewsA barebones CPU-only inference engine for Qwen 3, written from scratch in pure CnewsGemma 4 12B - MLX Kernel
Knowledge path·NOpenAI and Broadcom announce chip designed for LLM inference at scale→NOpenAI and Broadcom unveil LLM-optimized inference chip→NI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)→Rjmaczan/tiny-vllm

Topics

aiattentionbatchingcoursecppcudahpcinferencellmllm-inference

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score824