AI inference chip and cloud platform

What is Groq?

Groq helps teams build and scale ai inference chip and cloud platform products.

Category
AI inference chip and cloud platform
Headquarters
Mountain View, CA
Founded
2016
Employees
300-500 estimated
Total funding
$1B+ disclosed equity and commitments
Valuation
$2.8B last disclosed valuation

What is Groq?

Groq is a ai inference chip and cloud platform company founded in 2016 and headquartered in Mountain View, CA.

Groq builds ai inference chip and cloud platform infrastructure for teams that need production software, AI, or data workflows rather than one-off prototypes. Revenue is not disclosed; Groq monetizes GroqCloud inference and enterprise LPU capacity. Its public scale signal is Developer and enterprise inference users; customer count not disclosed.

The company sits in a fast-moving market where buyers care about reliability, security, integration depth, and procurement maturity. $1.5B Saudi Arabia infrastructure commitment announced in 2025. Its position is strongest when customers need a managed platform that shortens engineering time while still fitting into existing cloud, data, and developer workflows.

For sellers, Groq is best treated as a scaled technical buyer. Engineering and product leaders influence architecture, finance and operations shape budget, and security or procurement becomes more important as contract size grows.

What does Groq offer?

Groq's product set centers on GroqCloud, LPU Inference Engine, GroqRack.

  • GroqCloud· Core product
  • LPU Inference Engine· Core product
  • GroqRack· Core product
  • Developer API· Expansion product
  • Compound AI systems· Expansion product
  • Enterprise deployments· Expansion product

How does Groq make money?

Groq makes money through usage, subscription, committed-capacity, and enterprise contracts depending on customer scale.

GroqCloud is usage-based by model. Public examples include GPT-OSS 20B at $0.075 per million input tokens and $0.30 per million output tokens, GPT-OSS 120B at $0.15 input and $0.60 output, and Llama 3.1 8B at $0.05 input and $0.08 output. Enterprise-only models and dedicated deployments are sold through sales.

Growth is driven by land-and-expand adoption: individual developers or small teams start with self-serve usage, then production workloads create larger commitments, security requirements, support needs, and procurement events. Enterprise customers typically pay for higher limits, private deployment patterns, governance, support, SLAs, and negotiated usage economics.

The unit economics depend on the underlying product category. Software-heavy products expand through seats and usage, while AI infrastructure and GPU-cloud businesses require disciplined capacity planning, reserved commitments, power and data-center execution, and high utilization of expensive compute assets.

Who leads Groq?

Groq is led by Jonathan Ross, with technical, product, and go-to-market ownership spread across the leadership team.

  • Jonathan RossFounder & CEOFounded Groq in 2016Former Google TPU engineer; sets chip, cloud, and company strategy.
  • Stuart PannPresident / operating leaderExecutive leadershipFormer Intel and HP executive helping scale operations and commercialization.
  • Groq hardware leadershipSilicon leadershipExecutive leadershipOwns LPU architecture, compiler, and systems manufacturing.
  • GroqCloud leadershipCloud leadershipPlatform scale-upRuns developer APIs, pricing, model availability, and reliability.

How do you contact Groq's leadership?

Use published company channels first. The personal addresses below are format-following examples using groq.com; they should be verified before outreach and are not presented as confirmed personal inboxes.

Email formatfirst@groq.com (format-following example, not a verified personal mailbox)

How much funding has Groq raised?

Groq has $1B+ disclosed equity and commitments; its latest disclosed valuation/status is $2.8B last disclosed valuation.

Groq's disclosed financing history is concentrated in these major events: 2017-2020 Seed through Series B; Apr 2021 Series C - $300M; Aug 2024 Series D - $640M at $2.8B valuation; Feb 2025 Saudi Arabia commitment - $1.5B. The latest disclosed valuation or market status is $2.8B last disclosed valuation.

2017-2020: Seed through Series B. Early rounds funded the first tensor-streaming processor and compiler stack. Apr 2021: Series C - $300M. Large growth round backed the move from chip R&D toward commercial systems. Aug 2024: Series D - $640M at $2.8B valuation. Led by BlackRock Private Equity Partners with strategic and financial investors participating. Feb 2025: Saudi Arabia commitment - $1.5B. Infrastructure commitment to expand LPU-based AI inference capacity in Saudi Arabia.

The funding signal matters because it defines buying capacity and operating pressure. Late-stage capital usually means new hiring, platform expansion, security upgrades, finance-process maturity, and larger procurement reviews; earlier-stage profiles require tighter ROI and founder-led evaluation.

How did Groq get here?

Groq's path runs from founding in 2016 through product expansion and its latest financing or public-market milestone.

  1. 2016Company foundedJonathan Ross starts Groq after work on Google TPU.
  2. 2021Series C raisedGroq raises $300M to commercialize AI accelerator systems.
  3. 2022Maxeler acquiredGroq acquires Maxeler Technologies for dataflow-system expertise.
  4. Feb 2024GroqCloud soft-launchedThe company launches a developer platform around LPU inference.
  5. Aug 2024Series D raisedGroq raises $640M at a $2.8B valuation.
  6. Feb 2025Saudi expansion announcedA $1.5B commitment funds data-center capacity in Saudi Arabia.

Who are Groq's competitors?

Groq competes with category specialists, open-source alternatives, and larger platform vendors.

  • NVIDIADominant GPU supplier for training and inference acceleration.
  • CerebrasWafer-scale AI systems with cloud inference and training services.
  • Fireworks AIGPU-backed inference cloud focused on open models and fine-tuning.
  • Together AIOpen-model cloud spanning training, fine-tuning, and inference.
  • AWS BedrockHyperscaler managed model APIs with broad enterprise procurement access.

Groq — frequently asked questions

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