SAN FRANCISCO – AMD continued its Helios customer wins with a doozy of a partnership: wafer-scale chip maker Cerebras Systems.
Having already secured a tie-up with Anthropic at the start of the week, the chip giant revealed at this week's Advancing AI event that a technical partnership had been struck with the company that makes giant chips. The deal will see Cerebras deploy AMD Helios rack-scale systems in its data centers.
The pair also plan on developing a joint solution that would bring Cerebras’ Wafer-Scale Engine integrated as part of Helios, a combined platform they claim would provide up to five-times higher tokens per second per watt (T/s/W).
Set to become available initially through Cerebras Cloud in the second half of 2026, the joint offering would see Helios act as the high-throughput rack-scale system needed to process sizable complex requests, while Cerebras’s mammoth SRAM-based hardware would bring the ultra-low-latency performance needed to return tokens in what is essentially real time.
The resulting solution was described as being “designed specifically for the ultra-low-latency segment of the inference market, with AMD Helios as the foundation for high-throughput and balanced inference workloads across the data center.”
“The demand for ultra-fast inference is growing at an unprecedented pace. Cerebras delivers the world’s fastest, ultra-low-latency inference,” said Andrew Feldman, CEO and co-founder, Cerebras. “Partnering with AMD gives us an incredible opportunity to bring that performance to even more customers.”
Cerebras would join an ever-growing list of firms signed on to make use of AMD’s Nvidia NVL72 rival Helios, which already counts Meta, OpenAI, Oracle, and Tata Consultancy Services (TCS).
Earlier this week, Microsoft put pen to paper on a Helios rack-scale deal, while AMD revealed a $5 billion investment in Anthropic, with the Claude developer in turn making use of up to two gigawatts of AMD Instinct MI450 Series graphic processing units (GPUs) via Helios.