MatX
Designs AI chips and rack systems for training and serving large language models, aimed at frontier AI labs
Highlights
- New on EvolcAdded 2026-11-14
About MatX
MatX designs high-throughput chips and rack systems for training and serving large language models. Its MatX One chip is aimed at training, reinforcement learning, inference prefill and inference decode, with model weights kept in SRAM for low latency and KV caches in HBM for long context. The stated design includes scale-up and scale-out interconnect and a programming model that gives direct control over the hardware.
The company's stated customers are frontier AI labs. Its work spans silicon and rack design, compilers and kernels, and ML models. Cofounders are Reiner Pope (CEO) and Mike Gunter (CTO); Erez Shaizaf is COO. Named investors include Jane Street, Spark Capital and Triatomic Capital.
MatX is based in Mountain View. It has about 40 open positions, mainly in hardware design and verification, RTL and microarchitecture, power and packaging-related silicon work, firmware, kernels and AI tooling software, and supply chain and procurement.
Product: MatX One, an AI accelerator chip for large language model training and inference, plus rack-scale systems built around it.
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