Power-Efficient AI Acceleration for the Edge
M1076 Analog Matrix Processor
The M1076 Mythic AMP™ delivers up to 25 TOPS in a single chip for high-end edge AI applications.
MP10304 Quad-AMP PCIe Card
The Mythic MP10304 Quad-AMP PCIe card enables high-performance, power-efficient AI inference for edge devices and servers.
MM1076 M.2 M Key Card
The MM1076 M.2 M key card enables high-performance, yet power-efficient AI inference for edge devices and edge servers.
ME1076 M.2 A+E Key Card
The ME1076 M.2 A+E key card enables high-performance, yet power-efficient AI inference for edge devices and edge servers.
AI’s immense potential is being constrained
Innovation is hampered
Today’s digital AI processors are tremendously expensive to develop and rely on traditional computer architectures, limiting innovation to only the largest technology companies.
Inference at the edge is a challenge
Inference at the edge requires low latency, low power, and must be cost-effective and compact. Digital processors are just not able to meet these challenging needs of edge AI.
Analog compute is ideal for edge AI
Edge AI devices based on analog compute can meet all the demanding requirements of size, performance, and power consumption. Legacy digital architectures simply can’t keep up - the future is analog.
Mythic - Advanced AI inference for edge devices
A leap forward in performance and power
Mythic Analog Matrix Processors (Mythic AMP™) offer huge advantages in power, performance, and cost. They lower the barriers to innovation, bringing powerful AI solutions to the edge.
A unique analog compute architecture
Mythic’s unique analog compute architecture performs trillions of operations required for AI inference inside a dense flash-memory arrays. This innovative approach represents a significant advantage over typical digital architectures.
Designed for the most demanding applications
With Mythic’s integrated development environment, AI developers can quickly deploy even the most sophisticated deep neural networks, confident that they will perform effectively in their product.