Groq Competitors & Alternatives (2026): The Post-Nvidia-Deal Map

Key takeaways

• Since Nvidia bought Groq's chip business in December 2025, GroqCloud's real competitors are now inference clouds — Together AI, Fireworks, and Baseten — plus Cerebras and SambaNova on the custom-silicon side.
• Groq shows up in 17 of the 1,150+ expert conversations we've analyzed, and the deal reshaped where it sits in the inference map almost overnight.
• The old answer — "Groq competes with Nvidia" — is dead: Nvidia now owns the LPU technology that made Groq fast.
• Most competitor lists go stale fast here; what matters is the live similarity ranking lower on this page, which re-ranks Groq's nearest neighbors against current intel data.

Each bar counts how many of Teahose's 1,150+ expert summaries mention it (word-boundary match across our podcast, newsletter, and paper corpus, June 2026).

Track the field: find the companies most similar to OpenAI and get their latest funding and product signals by email — Teahose Lookalikes.

Mention count from Teahose's analysis of 1,150+ expert podcast, newsletter & research summaries, June 2026.

At a glance

Any "Groq competitors" article written before December 2025 is now wrong. Nvidia's ~$20 billion purchase of Groq's chip assets — the largest deal in Nvidia's history — took the LPU technology, the founder, and most of the engineering team in-house. The Groq that remains, "Groq 2.0," is GroqCloud: an inference cloud serving ~2 million developers, competing in a different category than the chipmaker did.

So this map has two layers: who competes with what Groq became, and who's left fighting the war Groq used to fight. Below both, you'll find a live similarity ranking from the Teahose intel graph — the same vector engine behind our company lookalikes tool — which matters more than usual here, because this neighborhood keeps getting redrawn.

Inference Clouds (GroqCloud's actual rivals now)

• Together AI — the open-model inference and fine-tuning platform; the most direct competitor for developer token volume. See our Together AI competitors map.
• Fireworks AI — speed-focused inference for production apps, strong on optimized open models.
• Baseten — inference infrastructure with a developer-experience wedge; popular for deploying custom and open models.
• CoreWeave, Nebius, Lambda — the GPU neoclouds: heavier infrastructure plays that bundle raw compute with managed inference.

Custom Silicon for Inference (the war Nvidia just bought into)

• Cerebras Systems — the wafer-scale speed leader, now public (Nasdaq: CBRS, May 2026 IPO) with an OpenAI compute deal underwriting its ramp. The clearest remaining independent bet on non-GPU inference.
• SambaNova — reconfigurable dataflow architecture, enterprise and sovereign-AI focused.
• Etched, d-Matrix, Positron — the next generation of transformer-specialized ASICs, each betting Nvidia's general-purpose dominance leaves room for radical specialization.
• The hyperscalers' own silicon — Google TPU, Amazon Trainium/Inferentia, Microsoft Maia: the quiet giants of non-Nvidia inference at scale.

The Live Map: Groq's Nearest Neighbors

How to Watch This Market

• Benchmark, don't believe. Tokens-per-second leadership changes with every hardware and model generation — run your workload on two or three providers before committing.
• Watch consolidation signals. Nvidia buying Groq's assets and Cerebras going public in the same six months tells you this category is end-gaming. The daily signal feed catches the next move early; Groq's company profile tracks its signals specifically — hit Watch to follow it.
• Price per token is the moat test. Custom silicon wins only while its speed-per-dollar advantage survives Nvidia's roadmap.

Related: Groq valuation & the Nvidia deal, explained · Cerebras valuation · Together AI competitors · top AI startups, live-ranked.

Bottom line: After Nvidia bought Groq's chip business, "Groq competitors" now means GroqCloud's inference-cloud rivals — Together AI, Fireworks, and Baseten — with Cerebras and SambaNova carrying the custom-silicon fight, and the live ranking below is the only part that stays current.

Frequently Asked Questions

Did Nvidia buy Groq?

Effectively, yes — in December 2025 Nvidia paid roughly $20 billion (its largest deal ever, structured as a non-exclusive technology license) for Groq's LPU inference technology, founder/CEO Jonathan Ross, and most of the engineering team. What remains is GroqCloud — the inference cloud business — operating as "Groq 2.0" under new leadership, raising fresh capital from existing investors in 2026.

Who are Groq's main competitors now?

Post-deal, GroqCloud competes as an inference cloud, so its rivals are Together AI, Fireworks, Baseten, and the GPU neoclouds — plus Cerebras, the remaining at-scale custom-silicon speed player (now public). Before the deal, the answer was "Nvidia"; now Nvidia owns the technology that made Groq fast.

What is the fastest LLM inference provider?

Cerebras and Groq-architecture systems have traded records on raw tokens-per-second for popular open models, with custom-silicon providers generally beating GPU clouds on single-stream speed. But "fastest" depends on the model, batch size, and whether you need speed or throughput-per-dollar — benchmark on your actual workload, and re-check often: this leaderboard changes quarterly.

How is the live list on this page generated?

We embed a description of Groq's business with the same vector pipeline that powers our company lookalikes tool, then rank companies in the Teahose intel graph by cosine similarity. Given how much this market moved in the past year, the live ranking is the only part of any Groq comparison that stays current.

Is Groq still a company after the Nvidia deal?

Yes. Nvidia acquired Groq's LPU chip technology, its founder, and most of the engineering team, but the inference cloud business — GroqCloud — continues as a standalone company, sometimes called Groq 2.0, serving developers token-as-a-service APIs. So when people ask about Groq competitors today, they almost always mean GroqCloud competitors, which puts it head-to-head with Together AI, Fireworks, and Baseten rather than with chipmakers.

What are the best alternatives to GroqCloud for fast LLM inference?

For developers who liked Groq for low-latency, high-throughput token serving, the closest alternatives are Together AI and Fireworks AI for open-model inference, Baseten for a developer-experience-first deploy workflow, and Cerebras if you specifically want non-GPU custom-silicon speed. The GPU neoclouds — CoreWeave, Nebius, and Lambda — are the heavier-infrastructure option when you want raw compute bundled with serving. The right pick depends on which models you run and whether you optimize for single-stream speed or throughput per dollar.

How often does the Groq competitor landscape change?

Faster than almost any other category in AI infrastructure. In a single six-month stretch, Nvidia bought Groq's chip assets and Cerebras went public — two moves that each redrew the map. That is exactly why the live similarity ranking on this page is more reliable than any hand-written list: it re-ranks Groq's nearest neighbors against current intel data instead of freezing a snapshot that goes stale within a quarter.