#KV Cache
5 articles with this tag
The Agentic AI Memory Wall Hits Infrastructure
Micron says agents turn memory from a component bottleneck into a system constraint, with KV cache hitting ~22TB at 1,000 users.
LOCKS Unlocks LLM Long Context Efficiency
LOCKS revolutionizes long-context LLMs by approximating KV cache with spectral summaries, achieving near full-quality inference while drastically cutting latency and computation.
DepthWeave-KV: Unlocking Long Context Efficiency
DepthWeave-KV tackles long-context LLM memory bottlenecks with token-adaptive cache compression, achieving 8.3x reduction and high throughput.
CAG vs. Long Context: AI's Memory Explained
IBM's Martin Keen explains how AI models use Long Context and Cache Augmented Generation (CAG) to process information, highlighting the trade-offs and efficiency gains of each approach.
KV-Fold: Unlocking Transformer Long Context
KV-Fold enables training-free, stable long-context inference up to 128K tokens with 100% retrieval accuracy, overcoming prior limitations.
