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. /beehive-lab/GPULlama3.java
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 15h agoLive · 14h ago

beehive-lab/GPULlama3.java

GPU-accelerated Llama3.java inference in pure Java using TornadoVM.

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) · 49%OpenAI and Broadcom unveil LLM-optimized inference chip →
  • PossiblePossibly related (embedding) · 48%We'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D] →
  • PossiblePossibly related (embedding) · 46%If your GPU can run inference, it should be able to fine-tune too. [P] →

Covers

newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsWe'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]

Related across the graph

newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsWe'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·NOpenAI and Broadcom unveil LLM-optimized inference chip→NWe'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D]→NIf your GPU can run inference, it should be able to fine-tune too. [P]→Rbeehive-lab/GPULlama3.java

Topics

acceleratorscompilersdeepseek-r1ggufgpugraniteibm-granitejavajava21llama3

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score265