M1108 uniquely addresses challenging Edge AI requirements of high performance and low power in a single cost-effective device
REDWOOD CITY, CA, November 19, 2020 — Mythic, the pioneering analog AI processor company with breakthrough, patented analog compute-in-memory technology, today announced the industry’s first Analog Matrix Processor (Mythic AMP™).
The launch of the M1108 AMP heralds an exciting new era for AI, delivering for the first time an analog compute solution that achieves best-in-class performance and power with accuracy comparable to digital devices. The M1108 AMP opens up unparalleled possibilities for device deployment at the edge in a broad range of applications and markets, including smart home, AR/VR, drones, video surveillance, smart city, and automation on the factory floor. With its revolutionary technology, M1108 AMP is at the forefront of a major new trend in AI processing.
Running AI models at the edge rather than in the cloud offers significant advantages to manufacturers: designs can be simpler, privacy is significantly enhanced, and the overall user experience is superior. However, AI at the edge also means the deployment of millions of devices, which creates another set of challenges, such as the need for low-cost, small form-factor devices with low latency, high performance, and low power. Digital inference solutions based on SOCs, TPUs, CPUs, GPUs, and FPGAs can meet some of these challenges, but inherent limitations due to memory, clock speeds, and process technology create insurmountable tradeoffs, with the result that only processors capable of high-performance analog compute, such as the M1108 Mythic AMP, can address them all.
“This is a significant inflection point in the industry. We are delivering technology that was previously thought to be impossible,” said Mike Henry, co-founder, CEO, and chairman of Mythic. “Our Analog Compute Engine eliminates the memory bottlenecks that plague digital solutions by efficiently performing matrix multiplication directly inside the flash memory array itself. The high performance and low power of the Mythic AMP combine to open up AI technology to broader application areas and address product categories that are currently inaccessible to comparable digital solutions.”
The M1108 integrates 108 AMP tiles, each with a Mythic Analog Compute Engine (Mythic ACE™) featuring an array of flash cells and ADCs, a 32-bit RISC-V nano-processor, a SIMD vector engine, SRAM, and a high-throughput Network-on-Chip (NOC) router. In addition, four control tiles provide a high-bandwidth PCIe 2.0 interface to a system host processor. With 108 AMP tiles, the M1108 delivers up to 35 Trillion-Operations-per-Second (TOPS) enabling the power-efficient execution of complex AI models such as ResNet-50, YOLOv3, and OpenPose Body25 on a single-chip with extremely-low latency. Typical power consumption of M1108 while running complex AI models at peak throughput is approximately 4W. And, with the inherent cost advantages of utilizing mature 40nm technology and not requiring any external DRAM or SRAM, the M1108 has up to 10-times cost advantage over comparable digital architectures.
The M1108 AMP will be available in both PCIe M.2 and PCIe card form-factors, and M1108 PCIe evaluation kits are available on request.
For more information, please visit: www.mythic-ai.com/product
Founded in 2012 by Mike Henry and Dave Fick, and based in Austin, TX and Redwood City, CA, Mythic has developed a unified hardware and software platform featuring its unique Mythic Analog Compute Engine (Mythic ACE™) to deliver revolutionary power, cost, and performance that shatters digital barriers preventing AI innovation at the edge. The Mythic Analog Matrix Processor (Mythic AMP™) makes it much easier and more affordable to deploy powerful AI solutions, from the data center to the edge device. The company has raised over $90M, and its investors include Threshold Ventures, Lux Capital, DCVC (Data Collective), SoftBank Ventures Asia, Valor Equity Partners, Andy Bechtolsheim, AME Cloud Ventures, Atreides, Future Ventures, Micron Ventures, Lockheed Martin Ventures, and Lam Research.