Cerebras Systems vs Groq
Relationship
Contrary Research's Cerebras company report, Competition section -- names Groq as Cerebras's direct rival in inference. Reciprocally corroborated by Reuters (republished on investing.com, 2025-12-24): "Groq's primary rival in the approach is Cerebras Systems."
2 of 3 capabilities — Shares accelerator silicon and model inference.
Ludbee capability tags · from the product recordsShared product type — Both ship hardware and model API.
Ludbee product recordsSmaller scale — Groq: $3.5B valuation, against Cerebras Systems's $44.4B market cap.
Ludbee scale figures · valuation, market cap or revenue estimateSourced competitor — “As Cerebras looks to expand into the larger AI inference market, it will have to innovate against Groq's inference-specialized LPU chips.”
research.contrary.com · checked 2026-09-19Build on a hosted model API — Rivals on this job — Call hosted language models from an application, billed per token, without running the models yourself.
Ludbee needs vocabulary · the scope on the sourced edgeServe a model in production — Rivals on this job — Run a trained model behind an API at scale — hosted endpoints, GPU capacity, routing, and the cost and latency trade that comes with them.
Ludbee needs vocabulary · the scope on the sourced edgeAligned comparison
Capability overlap
Shared · 2
Not verified for Groq · 1
Recorded for Cerebras Systems. Groq’s product records say nothing either way — a missing record is not a missing capability.
Groq has no capability Cerebras Systems lacks, among the 2 recorded here.
Products, side by side
Hand-checked pairing
Cerebras Systems
Model API
Hosted inference service that serves open-weight models on Cerebras wafer-scale hardware, billed per token.
Hardware
Wafer-scale processor — now WSE-3 Turbo (WSE-3T), four trillion transistors and 900,000 AI cores — sold inside Cerebras' rack-scale systems: three WSE-3T processors power the CS-4, the successor to the WSE-3-based CS-3.
Groq
Model API
Hosted inference service that serves open-weight models on Groq's own LPU hardware, billed per token.
Hardware
The Language Processing Unit (LPU) — Groq's own inference accelerator chip (GroqChip), deployed 256 per rack across Groq's own data centers. Not sold or licensed as standalone hardware today: access comes bundled into GroqCloud or into the dedicated regional deployments Groq itself builds and operates for governments and telecoms.
No counterpart
Cerebras Systems sells these in a stack layer with no product recorded for Groq yet — nothing on the other side to compare them against.
Platform
Managed training/fine-tuning cloud for models from 1B to tens-of-trillions of parameters without manual sharding or model-parallelism configuration, billed pay-per-hour or pay-per-model (Cerebras-run custom training).