Future Computers Will Be Radically Different

to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Digital computers have served us well for decades, but the rise of artificial intelligence demands a totally new kind of computer: analog.

Thanks to Mike Henry and everyone at Mythic for the analog computing tour! https://www.mythic-ai.com/
Thanks to Dr. Bernd Ulmann, who created The Analog Thing and taught us how to use it. https://the-analog-thing.org
Moore’s Law was filmed at the Computer History Museum in Mountain View, CA.

MM1076 M.2 M Key Card

Overview :
The MM1076 M.2 M key card enables high-performance, yet power-efficient AI inference for edge devices and edge servers. The M.2 card’s compact form-factor and popularity makes integration into many different systems a straightforward task. The MM1076 is designed with the M1076 Mythic AMP™ which is arranged in an array of AMP tiles each featuring a Mythic Analog Compute Engine (Mythic ACE™). The MM1076 is ideal for processing deep neural network (DNN) models in a variety of applications, including video surveillance, industrial machine vision, drone, AR/VR, and edge servers.

Features

M1076 Mythic AMP™ with support for up to 80M weights on-chip

No external DRAM required

SMBus for EEPROM and PMIC access

Pre-qualified networks including object detectors, classifiers, pose estimators, with more being added

OS Support: Ubuntu, NVIDIA L4T, and Windows (future release)

Model parameters stored and matrix operations executed on-chip by AMP tiles

4-lane PCIe 2.1 for up to 2GB/s bandwidth

Support for standard frameworks, including PyTorch, TensorFlow 2.0, and Caffe

Small 22mm x 80mm form factor

Workflow

DNN models developed in standard frameworks such as Pytorch, Caffe, and TensorFlow are implemented and deployed on the Mythic Analog Matrix Processor (Mythic AMPTM) using Mythic’s AI software workflow. Models are optimized, quantized from FP32 to INT8, and then retrained for the Mythic Analog Compute Engine (Mythic ACETM) prior to being processed through Mythic’s powerful graph compiler. Resultant binaries and model weights are then programmed into the Mythic AMP for inference. Pre-qualified models are also available for developers to quickly evaluate the Mythic AMP solution.

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Posted with STEMGeeks