GPU memory fills up. As context windows grow and KV cache demands increase, that…
This is a dev post classified by Jev as Hosting & infra (a launch), kept by the Dev Radar because it carries real work, not commentary.
GPU memory fills up. As context windows grow and KV cache demands increase, that constraint directly impacts inference responsiveness and infrastructure efficiency. At Booth 704 at AI Infra Summit 2026, Marvell is demonstrating how OCTEON CN10K enables a JBOF-based memory tier for KV cache overflow at rack scale, extending effective memory capacity and delivering up to 2x faster time to first token without adding GPUs or compromising performance. Visit the booth and learn about high-speed networked storage for AI, with 3rd Gen Intel® Xeon® Scalable processors.
Posted by Marvell Technology (17.5k followers) 3 days ago · 104 likes · 4.1k views · view the original post on X. Kept by the Dev Radar as Hosting & infra.
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