repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 26d ago
ovg-project/kvcached
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
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) · 51%Top Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott Coop →
- PossiblePossibly related (embedding) · 50%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%Understanding dynamic resource allocation in Kubernetes →
- PossiblePossibly related (embedding) · 46%I mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset) →
- PossiblePossibly related (embedding) · 45%Ultra budget 20GB vram with 448GB/s for $100 bucks. →
- PossiblePossibly related (embedding) · 46%Byte exact KV cache grafting on frozen Gemma 4 →
Covers
newsTop Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott CoopnewsWe'll benchmark an Open weights LLM on any GPU you choose — drop your model + hardware and we'll run it. [D]newsUnderstanding dynamic resource allocation in KubernetesnewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsUltra budget 20GB vram with 448GB/s for $100 bucks.newsByte exact KV cache grafting on frozen Gemma 4
Related across the graph
newsUnderstanding dynamic resource allocation in KubernetesnewsUltra budget 20GB vram with 448GB/s for $100 bucks.newsI 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]newsByte exact KV cache grafting on frozen Gemma 4newsTop Cost-Effective Enterprise GPU Cloud Platforms for AI Workloads with H100–GB200, Elastic Scaling and Pay-as-You-Go Compute - Scott Coop