# NVFP4 KV Cache

**Source:** https://www.startuphub.ai/startups/nvfp4-kv-cache
**Profile type:** Startup

> A novel 4-bit floating-point quantization format for KV cache optimization in large language models.

## About

NVFP4 KV cache is a new format designed to significantly enhance the performance of large language models (LLMs) during inference, particularly on NVIDIA Blackwell GPUs. It reduces the KV cache memory footprint by up to 50%, enabling doubled context budgets, larger batch sizes, and longer sequences.

## Key facts

- **Slug:** nvfp4-kv-cache
- **Operating status:** Active
- **Sectors / tags:** AI Foundation & Compute, Large Language Model, Inference Optimization, Quantization, GPU Computing, AI Hardware, AI Infrastructure, GPU, Foundation Model, AI Chip

## Frequently asked

### What does NVFP4 KV Cache do?

NVFP4 KV cache is a new format designed to significantly enhance the performance of large language models (LLMs) during inference, particularly on NVIDIA Blackwell GPUs. It reduces the KV cache memory footprint by up to 50%, enabling doubled context budgets, larger batch sizes, and longer sequences.

### What industry does NVFP4 KV Cache operate in?

NVFP4 KV Cache operates in AI Foundation & Compute, Large Language Model, Inference Optimization, Quantization, GPU Computing, AI Hardware.

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