Tagged "kv-cache-optimization"
- Elastic KV Cache Memory Breakthrough Enables Efficient Bursty LLM Serving and GPU Sharing
- Gemma 4 Support Stabilized in Llama.cpp
- Gemma 4 GGUF Models Updated with Critical Quantization Fixes
- TurboQuant in Llama.cpp Achieves 6X Smaller KV Cache
- Gemma 4 KV Cache Memory Issues Fixed in llama.cpp
- VRAM Optimization Technique Cuts Gemma 4 Memory Usage by 3x
- TurboQuant KV Cache Compression Achieves 22.8% Faster Decoding at 32K Context
- LMCache Dramatically Accelerates LLM Inference on Oracle Data Science Platform
- 3-Path Agent Memory: 8 KB Recurrent State vs. 156 MB KV Cache at 10K Tokens