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Intel GPU D270

AI Hardware & Edge Paid

First product in Intel data centre inference GPU line named at the 2026 OCP Global Summit. Xe3P architecture, 32 Xe cores, up to 480GB LPDDR5X memory, and a single card serving a 300B parameter model.

Data Center GPUInferenceXe3PLPDDR5X480GB
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Disclaimer: Review content represents our editorial team's views and experience, not commercial recommendation or investment advice. Product info and pricing may change; refer to official sources.

Overview

The Intel GPU D270 is the first product in Intel data centre inference GPU line after it was formally named at the 2026 OCP Global Summit. The family previously appeared under the codename Crescent Island and is built on the Xe3P architecture. It targets LLM serving, long-context workloads and concurrent inference, with Intel stating that a single card handles a 300B parameter model and an eight-card system handles a 1T parameter model.

On specifications, the D270 carries 32 Xe cores and 256 XMX engines with 1.5TB/s of FP8 compute, paired with up to 480GB of LPDDR5X memory at 1.5TB/s of bandwidth. Board power is 350W, the card uses a standard PCIe AIC form factor with PCIe Gen5 support, and it allows air cooling, which means it drops into conventional server chassis.

Beyond multi-tenant AI serving, Intel lists robotics and other latency-sensitive workloads as targets. Alongside the card, Intel and its partners showed new rack designs based on Xeon 6+ processors, with some configurations scaling past 46,000 CPU cores at up to 133.45kW.

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Pricing

Intel has not published pricing or general availability for the D270. Pricing, availability and channel details follow Intel official announcements.

Summary

The Intel GPU D270 is the first card in Intel newly named data centre inference GPU line, moved from the codename Crescent Island to the Intel GPU D-series at the 2026 OCP Global Summit and built on Xe3P. The specification is clear enough: 32 Xe cores and 256 XMX engines with 1.5TB/s of FP8 compute, paired with up to 480GB of LPDDR5X at the same 1.5TB/s of bandwidth. The two numbers that matter here are memory capacity and cooling, since 480GB on one card at 350W with air cooling, in a standard PCIe AIC form factor with PCIe Gen5, means no special work on the data centre. Intel positions it for LLM serving, long-context and concurrent inference, stating one card covers a 300B parameter model and eight cards reach 1T, with robotics and latency-sensitive loads in scope. Pricing and availability are still unpublished, so if you plan capacity around it, Intel official announcements are what to track.

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AI Hardware & Edge
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Tags
Data Center GPU · Inference · Xe3P
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