Amazon’s Quantum Leap: Graviton4 and Trainium2 Reshape the Future of AI

During Amazon’s “AWS re:Invent 2023” event, its cloud computing division, AWS, announced the launch of two new proprietary chips, Graviton4 and Trainium2. The Graviton4 is a custom design based on the Arm architecture, while the Trainium2 represents a novel quantum chip.

As reported by TechPowerup, Graviton4 and Trainium2 promise to enhance cost-effectiveness and energy efficiency for Amazon AWS clients. These chips are tailored to applications in machine learning (ML) and artificial intelligence (AI), offering clients a broader array of options.

Graviton4, the fourth generation of the Graviton series since its inception in 2018, boasts a 50% increase in core count, a 75% increase in memory bandwidth, and a 30% enhancement in computational performance compared to Graviton3. It offers optimal cost-effectiveness and energy efficiency for various workloads running on Amazon EC2. Furthermore, all high-speed physical interfaces of Graviton4 have been encrypted to bolster security.

Trainium2, the latest achievement of Amazon’s quantum computing team, introduces significant advancements in quantum error correction. It separates bit-flip and phase-flip errors using logical qubits. This passive error correction method substantially reduces the error rate to a mere 0.1% and also minimizes hardware overheating. Compared to its predecessor, Trainium2 offers a fourfold increase in performance and double the energy efficiency.

David Brown, Vice President of Compute and Networking at AWS, remarked that focusing chip design on real-world workloads important to customers enables the provision of the most advanced cloud infrastructure. Graviton4, the fourth-generation chip delivered by Amazon AWS within just five years, is the most powerful and energy-efficient chip manufactured for various workloads. As interest in generative AI surges, the next-generation Trainium2 will assist customers in training their machine learning models more swiftly, with lower costs and higher energy efficiency.