Graphcore 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.

AMD designs CPUs and AI accelerators including the MI300 series, competing directly with Nvidia in data-center AI workloads.