Ampere Expands AI Infrastructure with New Systems Builders Program

May 16, 2025
Ampere has launched the Ampere Systems Builders program and expanded its AmpereOne M platforms, enhancing AI and cloud infrastructure.

Ampere Computing has launched the Ampere Systems Builders program and expanded its portfolio of AmpereOne M platforms, announced in a press release. The new program aims to accelerate the development of modular, standards-based platforms optimized for AI and cloud-native computing.

The Ampere Systems Builders program brings together industry leaders such as Broadcom, Supermicro, Giga Computing, ASRock Rack, Jabil, and Rebellions to co-develop solutions using shared engineering resources and open specifications. This initiative is designed to enhance interoperability, customization, and faster time to market for AI inference solutions.

In addition to the program, Ampere has introduced new 12-channel platforms based on AmpereOne M processors. These platforms are designed to deliver high performance and efficiency for AI inference and cloud-native workloads, offering strong performance-per-watt and high memory bandwidth. Companies like Giga Computing and ASRock Rack are already developing platforms through the program, with more expected in the coming months.

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Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

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