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.

Click to read more ...

China Mobile plots 400 Gigabit trials in 2017

China Mobile is preparing to trial 400-gigabit transmission in the backbone of its optical network in 2017. The planned trials were detailed during a keynote talk given by Jiajin Gao, deputy general manager at China Mobile Technology, at the OIDA Executive Forum, an OSA event hosted at OFC, held in Los Angeles last week.

The world's largest operator will trial two 400-gigabit variants: polarisation-multiplexed, quadrature phase-shift keying (PM-QPSK) and 16-ary quadrature amplitude modulation (PM-16QAM).    

Click to read more ...