Intel Announces 2023‑2025 Xeon Processor Roadmap: Emerald Rapids, Granite Rapids, Sierra Forest, and Clearwater Forest
Intel unveiled its 2023‑2025 Xeon roadmap, detailing the upcoming Emerald Rapids, Granite Rapids, Sierra Forest, and Clearwater Forest CPU families, their core architectures, performance targets, and how they aim to strengthen HPC, AI, and data‑center workloads while also previewing future GPU, AI accelerator, and FPGA products.
Intel officially released its Xeon processor roadmap for 2023‑2025, outlining four major product families: Emerald Rapids (2023), Granite Rapids and Sierra Forest (2024), and Clearwater Forest (2025), each featuring distinct P‑Core and E‑Core designs.
2023 – Emerald Rapids: Scheduled for Q4 2023 on the Intel 7 process, Emerald Rapids‑SP will offer up to 64 cores (128 threads), up to 320 MB L3 cache, and a 5‑10% IPC improvement over Golden Cove using the Reaptor Cove micro‑architecture. It targets higher performance‑per‑watt and aims at HPC, AI, and data‑center workloads while remaining compatible with the previous Eagle Stream platform.
2024 – Granite Rapids and Sierra Forest: Granite Rapids‑SP will be built on the Intel 3 process with Redwood Cove cores, supporting DDR5‑8800 memory, up to 1.5 TB/s platform bandwidth, and higher core density. Sierra Forest introduces Intel’s first E‑Core Xeon product, offering up to 144 cores on the Intel 3 node, optimized for cloud workloads and positioned to compete with AMD’s EPYC Bergamo series.
2025 – Clearwater Forest: The second‑generation E‑Core Xeon family, Clearwater Forest, will use the Intel 18A process and an optimized RibbonFET architecture to deliver even higher core counts and performance breakthroughs.
In addition to CPUs, Intel updated its roadmap for GPUs (the Melville Sound data‑center GPU Flex series), accelerators (Falcon Shores, succeeding Rialto Bridge), next‑generation Habana Gaudi AI accelerators, and new eASIC and AGILEX FPGA families.
The roadmap demonstrates Intel’s commitment to continuous innovation in performance, efficiency, and scalability across compute, AI, and data‑center domains, though the company’s ability to meet these timelines remains a key question.
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