Intel has given its Crescent Island data-center accelerator a product name: Intel GPU D-Series. The company used the October 12, 2026 Open Compute Project Global Summit to publish the clearest performance figures yet for the inference-focused card.
According to Intel’s official announcement, GPU D-Series is built on Xe3P and combines up to 480GB of LPDDR5X, 1.5TB/s of memory bandwidth and 1.3 petaflops of FP8 compute inside a 350-watt air-cooled PCIe design. Intel’s own branded card is specified with 160GB; the 480GB ceiling applies to partner-built configurations.
Intel has also described the broader heterogeneous AI infrastructure strategy in a verified Intel Business LinkedIn post. Because LinkedIn does not provide a reliable native WordPress embed here, the post is linked rather than embedded.
Intel says one card can support models up to 300 billion parameters, while an eight-GPU system can move beyond one trillion parameters. That places the product squarely in the AI inference market rather than positioning it as a maximum-throughput training accelerator.
The unusual part is memory. Instead of HBM, Intel is leaning on high-capacity LPDDR5X. ServeTheHome’s technical breakdown reports the first D270 card with 32 Xe cores, 256 XMX engines, PCIe Gen5 x16 and the same 350W target. The tradeoff is straightforward: LPDDR5X offers far more capacity at this power envelope, while HBM remains much faster for bandwidth-heavy workloads.
The launch also fits Intel’s broader OCP message that AI work should be routed to the processor best suited to each task. That matters because lower-cost inference can increase total utilization and ultimately push data-center power demand higher, even when individual accelerators become more efficient.
Intel says customer sampling is underway. The company has not yet published independent real-world benchmarks or a broad retail availability date, so the 1.3-PFLOPS figure and model-capacity claims should be treated as vendor specifications until production systems can be tested.
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