WikiChip Fuse
Analog AI Startup Mythic To Compute And Scale In Flash

A look at the IPU architecture of analog AI startup Mythic which attempts to significantly reduce the power consumption by computing directly in analog in flash.

Read more
DARPA ERI: How Ayar Labs Collaboration With GF Produces A Photonics Chiplet That Can Supercharge Intel FPGAs

From a DARPA vision and a $15 million seed to a commercialized CMOS silicon photonics product: how Ayar Labs collaboration with GF produces a photonics chiplet that can supercharge Intel FPGAs.

Read more
Nvidia Inference Research Chip Scales to Dozens of Chiplets

Nvidia recently presented a research chip comprising dozens of chiplets that enables them to scale from milliwatts to hundreds of watts in order to cater to different markets such as edge, mobile, automotive, and data center.

Read more
SiFive Launches 7 Series, Their Highest Performance RISC-V Cores

SiFive launches 7 Series, their highest-performance RISC-V cores.

Read more
ISSCC 2018: MIT’s low-power hardware crypto RISC-V IoT processor

In recent years, IoT devices have been plagued with security issues. Memory and energy constraints of those low-power devices mean there is very little headroom for complex security implementations. At ISSCC 2018, a team of MIT researchers has attempted to address this problem with their low-power fully in-hardware crypto engine IoT RISC-V processor.

Read more
The RISC-V momentum continues with the GAP8, a new IoT/AI Application Processor

The RISC-V momentum continues with the the launch of the GAP8, an IoT/AI ultra-low power application processor by GreenWaves, a France-based startup. The chip is designed for lengthy autonomous battery-powered edge/IoT inference operations.

Read more
Esperanto exits stealth mode, aims at AI with a 4,096-core 7nm RISC-V monster

Exiting stealth mode, Esperanto, a small start-up lead by Dave Ditzel has unveiled their high-performance RISC-V cores they have been working on. Their first product will be a 4,096-core manycore processor designed for accelerating AI workloads.

Read more