Technology

Amazon unveils 192-core Graviton5 CPU with massive 180 MB L3 cache in tow — ambitious server silicon challenges high-end AMD EPYC and Intel Xeon in the cloud

Source

Tom's Hardware

Published

Dec 15, 2025

TL;DR

AI Generated

Amazon Web Services has unveiled the Graviton5, a 192-core CPU with a massive 180 MB L3 cache, designed to compete with AMD EPYC and Intel Xeon processors in its data centers. The processor, fabricated using a 3nm-class process, offers a 25% performance boost over its predecessor and integrates Neoverse V3 cores. The Graviton5 is available in Amazon EC2 M9g instances and promises improved performance for databases, web applications, and machine learning workloads. The CPU features a distributed L3 cache design, faster memory subsystem, increased network and storage bandwidth, and enhanced security measures through the Nitro Isolation Engine. Additional compute-optimized and memory-focused variants are expected to launch in 2026.

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Amazon unveils 192-core Graviton5 CPU with massive 180 MB L3 cache in tow — ambitious server silicon challenges high-end AMD EPYC and Intel Xeon in the cloud

TL;DR

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Lexar regional manager says that RAM prices are expected to double by the end of the year — 'discounts' and stabilized prices result from distributors getting rid of old stock or sourcing products from other regions

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Amazon unveils 192-core Graviton5 CPU with massive 180 MB L3 cache in tow — ambitious server silicon challenges high-end AMD EPYC and Intel Xeon in the cloud

TL;DR

Similar Articles

Lexar regional manager says that RAM prices are expected to double by the end of the year — 'discounts' and stabilized prices result from distributors getting rid of old stock or sourcing products from other regions

Taiwanese startup FormulaV Line wants to break into US market with two new unique cases — company expects products to become available on Newegg later this year

G.Skill explains how AMD EXPO ULL unlocks additional performance — expanded profiles allow memory makers to include subtiming tweaks for the first time

Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training