AMD competitors

SambaNova builds dataflow AI accelerators and full-stack software for enterprise AI training and inference at scale.

Tenstorrent designs open-source RISC-V AI processors and licenses chiplet IP for scalable AI compute.

AI Accelerators · Series D $693M

AI Accelerators

Series D

$693M

HQ

Rebellions is a Korean AI-chip unicorn behind the ATOM and REBEL inference accelerators, formed by its 2024 merger with SK Telecom's Sapeon.

AI Accelerators · Pre-IPO $400M

AI Accelerators

Pre-IPO

$400M

HQ

Etched builds application-specific chips hardwired to run transformer architectures with extreme performance and efficiency.

MatX, founded by ex-Google TPU engineers, designs chips optimized specifically for large language models, with first silicon due in 2027.

d-Matrix builds in-memory compute chips optimized for efficient transformer inference at scale in data centers.

Positron AI builds energy-efficient LLM inference appliances (Atlas) as a US-made, memory-bandwidth-optimized alternative to GPUs.

FuriosaAI is a Korean startup building energy-efficient AI inference chips (RNGD); it rebuffed an ~$800M Meta buyout to stay independent.

AI Accelerators · Series C Bridge $125M

AI Accelerators

Series C Bridge

$125M

HQ

EnCharge AI develops in-memory compute chips for ultra-efficient AI inference at the edge and in data centers.

Nvidia designs GPUs and AI accelerators that power the vast majority of frontier model training and inference workloads.