Enfabrica’s chip tackles AI supercomputing challenges

• Enfabrica’s accelerated compute fabric chip is designed to scale computing clusters comprising CPUs and specialist accelerator chips.
• The chip uses memory disaggregation and high-bandwidth networking for accelerator-based servers tackling artificial intelligence (AI) tasks.

Rochan Sankar

For over a decade, cloud players have packed their data centres with x86-based CPU servers linked using tiers of Ethernet switches.

“The reason why Ethernet networking has been at the core of the infrastructure is that it is incredibly resilient,” says Rochan Sankar, CEO and co-founder of Enfabrica.

But the rise of AI and machine learning is causing the traditional architecture to change.

What is required is a mix of processors: CPUs and accelerators. Accelerators are specialist processors such as graphics processing units (GPUs), programmable logic (FPGAs), and custom ASICs developed by the hyperscalers.

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