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<rss version="2.0"><channel><title>d-Matrix Raptor 3D-DRAM Accelerator for Generative Inference at Hot Chips 2026 — Live Feed</title><link>https://www.live-feeds.com/feed/d-matrix-raptor-3d-dram-accelerator-for-generative-inference-at-hot-chips-2026</link><atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://www.live-feeds.com/feed/d-matrix-raptor-3d-dram-accelerator-for-generative-inference-at-hot-chips-2026/rss.xml" rel="self" type="application/rss+xml"/><description>Continuously updated, source-cited coverage.</description>
<item><title>d-Matrix Unveils Raptor 3D-DRAM Accelerator at Hot Chips 2026</title><link>https://www.live-feeds.com/feed/d-matrix-raptor-3d-dram-accelerator-for-generative-inference-at-hot-chips-2026</link><guid isPermaLink="false">https://www.live-feeds.com/feed/d-matrix-raptor-3d-dram-accelerator-for-generative-inference-at-hot-chips-2026#u48350</guid><pubDate>Tue, 25 Aug 2026 11:31:01 +0000</pubDate><description>d-Matrix introduced the Raptor 3D-DRAM accelerator for generative inference at Hot Chips 2026. The chip fuses DRAM directly beneath the compute and removes the PHY to achieve SRAM-class bandwidth while using 1/10th the power of HBM. d-Matrix claims the architecture provides a 10x speed advantage over GPUs and 10x the bandwidth of HBM4. The design aims to resolve the AI memory wall by increasing bandwidth density and reducing power consumption compared to traditional high-bandwidth memory solutions.Why it mattersGenerative AI inference is currently limited by the memory wall, where data movemen</description></item>
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