ChipsThe story, in brief

Graviton5’s improved design increases speed and energy efficiency — beyond Moore’s law

25% performance gain. Amazon's Graviton5 just rewrote the playbook for AI chip design without waiting for Moore's Law.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

Amazon is shipping custom silicon optimized for agentic AI workloads with measurable performance and efficiency gains, signaling a shift toward vertical integration in AI infrastructure and reducing dependence on NVIDIA for specialized compute.

The key facts

5 to know
  1. Graviton5 chiplet architecture with custom die-to-die connectivity

  2. 25% performance improvement for general-purpose and agentic AI workloads

  3. DDR5-8800 memory support and PCIe Gen6 interconnects

  4. Performance gains claimed beyond Moore's Law scaling

  5. Amazon Science official announcement (source credibility high)

Go to the source

Amazon Scienceamazon.science

Publisher excerpt: A new chiplet architecture, custom die-to-die connectivity, and support for DDR5-8800 memory and the latest PCIe gen6 interconnects improve performance by 25% for general-purpose and agentic AI workloads.
Read original report
Back to today's editionMore chips news

Keep reading

Related stories

More from Chips