Suppliers United States Mythic

	Mythic
HQ Location	United States
Year Founded	2012
Company Type	Private
Revenue	< $10m
Employees	11 - 50
Website	Open website

Mythic

HQ Location

United States

Year Founded

2012

Company Type

Private

Revenue

< $10m

Employees

11 - 50

Website

Open website

Company Description	Founded in 2012 by Mike Henry and Dave Fick, and based in Austin, TX and Redwood City, CA, Mythic is creating a unified hardware and software platform that relies on unique analog compute-in-memory technology to deliver revolutionary power, cost, and performance that will shatter the limits restricting AI innovation. Mythic is making it much easier and more affordable to deploy powerful AI solutions, from the data center to the edge device. Read More
Contents

Company Description

Founded in 2012 by Mike Henry and Dave Fick, and based in Austin, TX and Redwood City, CA, Mythic is creating a unified hardware and software platform that relies on unique analog compute-in-memory technology to deliver revolutionary power, cost, and performance that will shatter the limits restricting AI innovation. Mythic is making it much easier and more affordable to deploy powerful AI solutions, from the data center to the edge device.

Mythic’s Technology Stack maps Mythic’s participation in the IoT technology stack.

Application Layer
Functional Applications

Cloud Layer
Platform as a Service

Infrastructure as a Service

Edge Layer
Automation & Control

Processors & Edge Intelligence

Actuators

Sensors

Devices Layer
Robots

Drones

Wearables

Supporting Technologies
Analytics & Modeling

Application Infrastructure & Middleware

Cybersecurity & Privacy

Networks & Connectivity

Technological Capability

None

Minor

Moderate

Strong

Number of Podcasts1

EP 185 - Bringing AI to the edge with analog computing - Dave Fick, co-founder & CEO, Mythic

Wednesday, Aug 09, 2023

In this episode, we talked with Dave Fick, co-founder and CEO of Mythic. Mythic has developed analog computing technology to deliver high-performance AI processors that are ten times more power-efficient and cost-effective than digital solutions.

In this talk, we discussed why analog computing is uniquely well-suited for machine learning on the edge, due to low energy consumption, low latency, and high capability. We also talk about several industrial applications that are using analog computing today.

Key Questions:

● What is analog computing?

● What is the difference in form and cost structure for analog and digital solutions?

● How does analog computing deal with 'messy data'?

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Overview

Mythic

IoT Snapshot

Technology Stack

Podcasts