Jatinkumar Parmar·Sep 10Tiered KV Cache Offloading in vLLMLong-context models and multi-turn conversations generate massive KV caches. When accelerator memory (e.g., GPU HBM) fills up, previously…
Adnan Masood, PhD.·Aug 31Prompt Caching in Production AI Systems: Architecture, Economics, and GovernanceA practical guide for technical leaders running LLMs in software development and agentic workloads.
MELVIN MARSHAL PEREIRA·Aug 19TurboQuant Compression For LLM KV Cache and Enterprise AI: A Comprehensive AnalysisFrom Memory Compression to Practical Reality
YouShin kim·Apr 16[arXiv] — TriAttention: Efficient Long Reasoning with Trigonometric KV Compression본 보고서는 대규모 언어 모델(LLM)의 긴 문맥 추론 과정에서 발생하는 KV 캐시(Key-Value Cache) 메모리 병목 현상을 해결하기 위해 제안된 TriAttention 방법론에 대한 기술적 분석을 담고 있습니다. 해당 연구는 기존의 사후…
YouShin kim·Apr 14[arXiv] — TriAttention: Efficient Long Reasoning with Trigonometric KV Compression본 보고서는 대규모 언어 모델(LLM)의 긴 문맥 추론 과정에서 발생하는 KV 캐시(Key-Value Cache) 메모리 병목 현상을 해결하기 위해 제안된 TriAttention 방법론에 대한 기술적 분석을 담고 있습니다. 해당 연구는 기존의 사후…
Adnan Masood, PhD.·Apr 13TurboQuant, Gemma 4, and the New Economics of AI InferenceHow KV-cache compression and long-context model design could reshape GPU utilization, serving density, and the next generation of AI…
InData Science CollectivebyManjunath Janardhan·Apr 8TurboQuant : Compressing KV cache 4x on Apple Silicon — how I doubled the usable context length.A response icon3A response icon3
Mihit Puvvula·Apr 3Part 1: We Are a Step Closer to Local Coding Agents — And It’s Not Because of the Claude Code LeakThis is Part 1 of a two-part series. Part 1 covers RAM scaling: what TurboQuant actually does and what it unlocks. Part 2 benchmarks…A response icon1A response icon1
Mrinmoychakraborty·Mar 30Implementation Roadmap: Integrating CL5D Phase-Dynamic KV Cache CompressionBy Mrinmoy Chakraborty CL5D Research Series
Tahir·Mar 27TurboQuant vs Traditional Quantization Eliminating Memory Overhead in LLMsTLDR:TurboQuant enables lossless 3-bit KV cache compression with 8x faster attention. Zero memory overhead, no fine-tuning.A response icon1A response icon1
