repoGitHubTrust 82 · PrimaryPublished 2mo agoLive · yesterday
openlake-project/openlake
OpenLake is a high performance storage engine for efficient LLM inference and GPU Training
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) · 60%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) · 59%OpenAI and Broadcom announce chip designed for LLM inference at scale →
- PossiblePossibly related (embedding) · 56%OpenAI and Broadcom unveil LLM-optimized inference chip →
- PossiblePossibly related (embedding) · 55%WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs →
- PossiblePossibly related (embedding) · 55%I mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset) →
- PossiblePossibly related (embedding) · 49%AWS Launches Graviton5-Based EC2 R9g and R9gd Memory-Optimized Instances - StorageReview.com →
- PossiblePossibly related (embedding) · 52%Gemma 4 12B - MLX Kernel →
- PossiblePossibly related (embedding) · 47%x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability →
Covers
newsWe'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D]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)
Implements
Covers (incoming)
newsAWS Launches Graviton5-Based EC2 R9g and R9gd Memory-Optimized Instances - StorageReview.comnewsGemma 4 12B - MLX KernelnewsReducing High-Bandwidth Memory Bottlenecks in JAX-Based LLM Training with Host Offloading - NVIDIA DevelopernewsGoogle Cloud's Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite - MarkTechPostnewsBest Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared - MarkTechPostnewsNASA Puts Google’s Gemma Large Language Model in OrbitnewsMOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026 - bastillepost.comnewsWhat machine is best for my setup? [D]
Implements (incoming)
Related across the graph
newsReducing High-Bandwidth Memory Bottlenecks in JAX-Based LLM Training with Host Offloading - NVIDIA DevelopernewsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsAWS Launches Graviton5-Based EC2 R9g and R9gd Memory-Optimized Instances - StorageReview.comnewsWhat machine is best for my setup? [D]newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsNASA Puts Google’s Gemma Large Language Model in Orbitpaperx-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint DecodabilitynewsGoogle Cloud's Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite - MarkTechPostnewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)paperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMsnewsBest Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared - MarkTechPostnewsWe'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D]newsGemma 4 12B - MLX KernelnewsMOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026 - bastillepost.com