The d-Matrix Raptor 3D-DRAM accelerator targets the capacity and bandwidth bottlenecks of growing KV caches in generative inference. It is designed to handle the massive memory requirements of long-context workloads, such as 64 users at 1M context length.
HOW THIS AFFECTS YOU
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builderYou may see significant improvements in serving long-context LLM applications with reduced memory bottlenecks.
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investorThis highlights a critical hardware shift toward solving the KV cache scaling problem in data centers.