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cv usk
@cv_usk
AI / Software Research Notes AI Agent, LLMOps, MLOps, Software Architecture 投稿は個人の意見です。
加入 May 2026
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💾 TL;DR: reuse a KV cache computed on another node's GPU straight through CXL memory, up to 36.6x faster. Seagate proposes a Kubernetes-native way to share CXL memory across the cluster. Title: Composable CXL Memory as a Kubernetes-Native Shared Memory for LLM Serving URL: 📌 Highlights 🧩 A Kubernetes DRA driver turns CXL regions into schedulable cluster resources 🗂 No Redis/etcd needed, KV slots are tracked inside the region itself 🚀 Cross-node reuse hits 36.6x speedup over recompute at 32K-token prefixes 🎯 Hit rates reach 95.4-99.5% ⚖️ Cross-node vs same-node latency differs by only 1-4% 🐢 Still 1.15-1.70x slower than an on-GPU VRAM prefix cache hit 🔧 Measured 5.8 GB/s out of a 27 GB/s fabric ceiling, room to grow with zero-copy DMA For serving that needs to reuse long prefixes across GPU nodes, this feels like a genuinely practical option. #LLMInference# #Kubernetes#
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