(MENAFN) Amazon Web Services (AWS), the cloud infrastructure arm of e-commerce titan Amazon, rolled out its next-generation artificial intelligence processor on Tuesday—a chip the company claims will dramatically slash costs while accelerating AI model development.

The newly unveiled Trainium3 processor promises to deliver faster training speeds and reduced expenses for organizations building and deploying AI systems, according to a company statement released Tuesday.

"Trainium3 UltraServers deliver high performance for AI workloads with up to 4.4x more compute performance, 4x greater energy efficiency, and almost 4x more memory bandwidth than Trainium2 UltraServers—enabling faster AI development with lower operational costs," Amazon said.

The chip achieves its performance gains through cutting-edge architectural improvements, including optimized interconnections that speed data transfer between processors and sophisticated memory architectures designed to eliminate performance constraints in large-scale AI applications, the company detailed.

Energy consumption represents another major breakthrough for the new silicon.

"Beyond raw performance, Trainium3 delivers substantial energy savings—40% better energy efficiency compared to previous generations," the firm noted.

Amazon stressed that such efficiency improvements carry significant weight when deployed across massive data center operations, allowing the tech giant to provide more economical AI computing resources while simultaneously curtailing environmental footprints at its facilities worldwide.

Looking ahead, AWS revealed ongoing development of the Trainium4 chip, which will incorporate compatibility with Nvidia's NVLink Fusion—the US chipmaker's high-bandwidth interconnect technology designed for linking multiple processors together.

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