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

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. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /alibaba/MNN
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 7d ago

alibaba/MNN

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

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) · 66%OpenAI and Broadcom unveil LLM-optimized inference chip →
  • PossiblePossibly related (embedding) · 62%OpenAI and Broadcom announce chip designed for LLM inference at scale →
  • PossiblePossibly related (embedding) · 57%Hardware startup unveils inference accelerator →
  • PossiblePossibly related (embedding) · 53%Cerebras OpenAI deal capacity has effectively killed the waitlist for everyone else [D] →
  • PossiblePossibly related (embedding) · 52%OpenAI reveals its first AI processor: Jalapeño →
  • PossiblePossibly related (embedding) · 47%FastFlowLM Joins AMD to Advance AI Inference →
  • PossiblePossibly related (embedding) · 26%SelectInfer: Selective Neuron Loading and Computation for On-Device LLMs →

    “Possibly related via embedding similarity 0.57 (not asserted). Timestamp check: artifact slightly before paper (-14d).”

  • PossiblePossibly related (embedding) · 54%High-Performance MoE Inference: Qwen3.6–35B-A3B on an AI PC with OpenVINO - Medium →

Covers

newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsHardware startup unveils inference acceleratornewsCerebras OpenAI deal capacity has effectively killed the waitlist for everyone else [D]newsOpenAI reveals its first AI processor: Jalapeño

Covers (incoming)

newsFastFlowLM Joins AMD to Advance AI InferencenewsHigh-Performance MoE Inference: Qwen3.6–35B-A3B on an AI PC with OpenVINO - MediumnewsOpenAI’s Jalapeño chip is built for fast inference at scale, benchmarks shownewsJalapeño’s first results show industry-leading speed and efficiency in AI inferencenewsConjure cash with old Macs by linking them to AI inference BorgnewsOpenAI's upcoming Jalapeño chip looks like it'll be an inference beast

Related to (incoming)

paperSelectInfer: Selective Neuron Loading and Computation for On-Device LLMspaperPre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC FleetspaperLlama-Mobile: Efficient 2.7-Bit Quantization of VLMs

Related across the graph

newsOpenAI’s Jalapeño chip is built for fast inference at scale, benchmarks showpaperLlama-Mobile: Efficient 2.7-Bit Quantization of VLMspaperSelectInfer: Selective Neuron Loading and Computation for On-Device LLMsnewsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsCerebras OpenAI deal capacity has effectively killed the waitlist for everyone else [D]newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsConjure cash with old Macs by linking them to AI inference BorgnewsFastFlowLM Joins AMD to Advance AI InferencenewsHigh-Performance MoE Inference: Qwen3.6–35B-A3B on an AI PC with OpenVINO - MediumnewsOpenAI reveals its first AI processor: JalapeñonewsHardware startup unveils inference acceleratornewsOpenAI's upcoming Jalapeño chip looks like it'll be an inference beastpaperPre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC FleetsnewsJalapeño’s first results show industry-leading speed and efficiency in AI inference
Knowledge path·NOpenAI’s Jalapeño chip is built for fast inference at scale, benchmarks show→PLlama-Mobile: Efficient 2.7-Bit Quantization of VLMs→PSelectInfer: Selective Neuron Loading and Computation for On-Device LLMs→Ralibaba/MNN

Topics

armconvolutiondeep-learningembedded-devicesllmmachine-learningmlmnntransformervulkan

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score15963