{
  "id": 669450,
  "title": "Tiered KV cache for large LLMs on Amazon SageMaker HyperPod with Curvine",
  "url": "https://urgent.news/2026/08/12/tiered-kv-cache-for-large-llms-on-amazon-sagemaker-hyperpod-with",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-12T13:42:48.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/tiered-kv-cache-for-large-llms-on-amazon-sagemaker-hyperpod-with-curvine/"
  },
  "original_language": "en",
  "account": null,
  "summary": "Running large language model inference at scale forces a KV cache trade-off: oversized GPU instances or slow time-to-first-token. This post builds a tiered KV cache on Amazon SageMaker HyperPod that extends the cache into a shared, distributed NVMe pool with Curvine, so replicas reuse cache at near-local-disk speeds on cost-efficient instances.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}