Hierarchical KV Caching: Scaling Context Beyond VRAM Limits
As context windows scale to a million tokens, the KV cache becomes too large for GPU memory. The solution is a multi-tiered cache that offloads data to CPU and NVMe without killing latency.
Tag: AI Infrastructure
· Rajat Pandit · AI InfrastructurevLLM Continuous Batching: How PagedAttention Optimizes GPU Throughput
vLLM continuous batching and PagedAttention explained: see how dynamic KV cache allocation eliminates memory fragmentation and boosts GPU throughput by 3x–5x.