AI inference platform for edge, data center, and cloud deployments
Blaize builds inference hardware and software for edge, data center, and cloud environments. The stack—PyTorch, TensorFlow, ONNX, custom SystemVerilog IP, and ARM/GPU targets—reflects a classical ML infrastructure play bridging software frameworks to silicon. Active work on next-generation chips and verification tooling, combined with senior-only hiring across engineering and support, suggests a scaling hardware company moving from prototype to production deployment.
Blaize is a public semiconductor and AI platform company based in El Dorado Hills, California, with 201–500 employees. The company develops hardware accelerators and inference software for governments, enterprises, and service providers, with deployments spanning edge devices, on-premise data centers, and cloud infrastructure. Core work includes a DNN performance library SDK, custom AI accelerator IP design and verification, and customer proof-of-concept projects. Hiring is concentrated in engineering, with some support and operations roles, and extends across the United States, United Kingdom, and India.
PyTorch, TensorFlow, Keras, ONNX, Python, C/C++, SystemVerilog for hardware design, ROS 2, OpenVINO, ARM, Jetson, GPU, Embedded Linux, and GCP for cloud infrastructure.
Next-generation AI accelerator chips, verification of custom IP, a DNN performance library SDK, software proof-of-concept projects for customers, and structured operations and go-to-market planning.
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Blaize's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.