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 InfrastructureContinuous Batching in vLLM: Killing the Hardware Idle
If your GPUs are idling at 40% utilization during inference, you are burning capital on memory bottlenecks, not computation.