
Mythic offers M1076 Analog Matrix Processor
Analog compute-in-memory processor delivering 25 TOPS for edge AI inference.
- Currently Offered

Analog compute-in-memory processor delivering 25 TOPS for edge AI inference.
M1076 Analog Matrix Processor is Mythic's analog compute-in-memory inference processor delivering 25 TOPS across 76 tiles. The architecture stores up to 80 million weights in analog memory and executes matrix operations where data resides, reducing data movement.
The platform targets edge AI deployments requiring high efficiency for vision and generative workloads. It integrates with host systems via PCIe and a software toolchain for model compilation and deployment.


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Analog in-memory inference platform collocating deep sub-threshold compute inside multi-level non-volatile memory.
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Low power machine learning system on chip for physical AI devices.

Hailo's Edge AI Processors enable high-performance deep learning inference on edge devices.

Mobilint's Edge AI Accelerators deliver power-efficient NPU solutions for edge and on-device inference.

Prometheus is a memory-first AI server that collapses racks of infrastructure into one unit.

Cerebras Wafer-Scale Engine is a family of wafer-scale AI processors.

RDU is SambaNova's Reconfigurable Dataflow Unit, the company's AI chip family for inference and training at scale.

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