Maxeler Technologies
Firmographic records identify the company as Maxeler Technologies, a Palo Alto-based provider of accelerated high-performance computing solutions founded in 2003, though the substantive operational data describes Groq — an AI inference infrastructure company offering the LPU chip and GroqCloud API platform serving 3M+ developers and enterprise customers.
- Company typePrivate
- Founded2016
- HeadquartersLondon, United Kingdom
- Headcount11–50
- GTM typeB2B
- OfferingHardware or Manufacturing
What Maxeler Technologies does
Firmographic records identify the company as Maxeler Technologies, a private US-based provider of accelerated high performance computing solutions, headquartered in Palo Alto, founded in 2003, with 51–100 employees. However, the substantive operational, product, technology, funding, and customer data provided pertains to Groq, a separate AI infrastructure company founded in 2016. Based on that operational data, the underlying business builds the LPU (Language Processing Unit), a custom silicon chip introduced in 2016 as the first chip purpose-built specifically for AI inference rather than adapted from training-oriented GPUs, and monetizes through GroqCloud — an API-accessible cloud platform with OpenAI-compatible endpoints priced on a usage basis.
The company serves two primary segments in parallel: individual developers and development teams, reached through a self-serve product-led growth motion with free API keys and extensive documentation; and large enterprises, reached through a direct sales motion formalized via an Enterprise Access program. Named enterprise customers span automotive (McLaren F1 Team, Volkswagen), energy (Chevron), financial services (Robinhood, Ramp), design (Canva), gaming (Riot Games), enterprise software (Workday), developer tooling (Vercel), storage (Dropbox), and sports (PGA of America), alongside startup and education-tech users (Fintool, Opennote). The platform reports more than 3 million developers and teams using or evaluating the service, and the company has raised $750 million in a September 2025 funding round to scale inference capacity amid surging demand.
The leadership data specific to Maxeler Technologies lists Michael J. Flynn as Co-Founder and Senior Advisor, Geoff Smailes as Chairman, and Patrick S. Hung as Asia Pacific Head; broader management-team composition for the Groq-described business is not provided in the source data. No revenue figures are disclosed, and the company remains privately held with no public ticker or exchange listing.
Maxeler Technologies firmographics
Firmographics- Name
- Maxeler Technologies
- Legal name
- Groq
- Website
- https://maxeler.com
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Firmographic records identify the company as Maxeler Technologies, a Palo Alto-based provider of accelerated high-performance computing solutions founded in 2003, though the substantive operational data describes Groq — an AI inference infrastructure company offering the LPU chip and GroqCloud API platform serving 3M+ developers and enterprise customers.
- Ownership category
- akta.pro rank
Maxeler Technologies industry classification
Industry- Product category
- Compute Acceleration
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- AI Server Systems & HGX/Accelerator Platforms (HDAAAAAB)
- akta.pro secondary industry
- LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)
Keywords
Where Maxeler Technologies is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Markets served
Maxeler Technologies business model
Business model- GTM type
- B2B
- Offering type
- Hardware or Manufacturing
- Cost components
- Technology or R&D, Personnel
Revenue model
- API-based Inference Services: Groq generates revenue through API access to their LPU-powered inference infrastructure via GroqCloud. Customers pay for usage of AI model inference, with pricing based on token consumption or API calls.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | GroqCloud API Access |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels6 records
Maxeler Technologies product offering
Product offeringCore offering
Maxeler Technologies is a provider of accelerated high performance computing solutions. The company focuses on dataflow computing technology to deliver compute acceleration for demanding workloads in scientific and enterprise contexts. Founded in 2003 and headquartered in Palo Alto, California, Maxeler sells hardware and software solutions that enable organizations to run compute-intensive applications more efficiently.
Product overview
Groq offers a unified AI inference platform built on its proprietary LPU (Language Processing Unit) architecture. The core product is the LPU chip, which serves as the foundational hardware for inference workloads. GroqCloud is the cloud platform that provides access to LPU-powered inference via API. The company positions itself as delivering fast, low-cost inference that is reliable at scale. GroqCloud is the console/API platform while the LPU is the underlying cartridge/hardware infrastructure.
Differentiator
Problem solved
Functional benefit
Quantifiable outcome
- 89% cost reduction for Fintool while increasing chat speed 7.41x
- +2 more outcomes
Companies that use Maxeler Technologies
Customer profileNamed customers13 records
Segments2 records
Ideal customer profiles1 record
Maxeler Technologies technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability3 records
Feature1 record
Maxeler Technologies partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- McLaren Racing (Formula 1 Team)flagshipMcLaren F1 Team selected Groq as an official partner and inference provider for their global operations. The partnership covers decision-making, analysis, development, and real-time insights. McLaren chose Groq for their performance-critical workloads, serving as a flagship customer reference demonstrating Groq's speed and reliability under extreme performance demands.
Scale indicators3 records
Recent moves5 records
Expansion highlights5 records
Maxeler Technologies competitors and assessment
Company assessmentBroad incumbents
- NVIDIA: NVIDIA is the dominant GPU provider for AI training and inference. Its CUDA ecosystem and continuous hardware roadmap (H100, B200, etc.) define the incumbent default that custom inference silicon must displace.
- AWS Inferentia: AWS Inferentia (and Trainium) are AWS's custom inference silicon, offered as part of the broader AWS cloud stack. They represent vertically integrated hyperscaler inference as an alternative to independent providers.
- Google TPU: Google's Tensor Processing Units are custom AI accelerators offered via Google Cloud for training and inference workloads. They compete with Groq for hyperscale inference workloads and Google internal deployments.
Direct peers
- Cerebras Systems: Cerebras builds custom wafer-scale AI accelerator silicon and offers cloud AI services. It directly competes with Groq's LPU by offering proprietary inference compute to enterprises and research labs.
- SambaNova Systems: SambaNova develops custom AI accelerator chips (RDU) and a cloud platform (SambaCloud) targeting enterprise inference and training workloads, directly competing with Groq's LPU value proposition.
- Together AI: Together AI provides a cloud inference platform for open-source LLMs with usage-based pricing, competing directly with GroqCloud for developer and enterprise inference workloads.
- Fireworks AI: Fireworks AI offers a fast, low-cost LLM inference API targeting developers and enterprises, competing head-to-head with GroqCloud on speed, cost, and OpenAI-compatible integrations.
- Tenstorrent: Tenstorrent designs custom AI accelerator chips (Grayskull, Wormhole) and offers cloud access, positioning as a competing custom-silicon provider to Groq's LPU for inference workloads.
Emerging players
- Anyscale: Anyscale operates Anyscale Endpoints and the Ray-based compute platform for AI inference and serving. It offers fast LLM inference as a cloud API competing with GroqCloud for developer workloads.
- Lepton AI: Lepton AI provides a cloud platform for running and deploying AI models, including optimized LLM inference, competing with GroqCloud for enterprise and developer inference customers.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
Maxeler Technologies social profiles
Digital presenceMaxeler Technologies financial estimates
Financial estimateRevenue estimate
Valuation estimate
Maxeler Technologies leadership team
Management profileNumber of profiles
Profiles3 records
Maxeler Technologies funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Maxeler Technologies M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Maxeler Technologies
What does Maxeler Technologies do?
Maxeler Technologies is a provider of accelerated high performance computing solutions. The company focuses on dataflow computing technology to deliver compute acceleration for demanding workloads in scientific and enterprise contexts. Founded in 2003 and headquartered in Palo Alto, California, Maxeler sells hardware and software solutions that enable organizations to run compute-intensive applications more efficiently.
Is Maxeler Technologies a public or private company?
Maxeler Technologies is a private company. It is classified as venture growth investor backed and is currently operating.
When was Maxeler Technologies founded?
Maxeler Technologies was founded in 2016. It employs 11 to 50 people.
Where is Maxeler Technologies based?
Maxeler Technologies is headquartered in London, United Kingdom, in the Europe region.
How does Maxeler Technologies make money?
One revenue line is on record: API-based Inference Services.
Who are Maxeler Technologies's main competitors?
Broad incumbents on record are NVIDIA, AWS Inferentia and Google TPU. Direct peers are Cerebras Systems, SambaNova Systems, Together AI, Fireworks AI and Tenstorrent. Emerging players are Anyscale and Lepton AI.
Does Maxeler Technologies have an API?
Yes. Groq offers an OpenAI-compatible API that allows developers to integrate AI inference capabilities. Developers can use just two lines of code to switch to Groq by setting the base URL to https://api.groq.com/openai/v1 and providing their API key. Developer documentation is at console.groq.com/docs/overview.
What industry is Maxeler Technologies in?
Maxeler Technologies's product category is Compute Acceleration. Its primary akta.pro industry code is HDAAAAAB, AI Server Systems & HGX/Accelerator Platforms, with a secondary code of HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG). Its NAICS code is 518 and its SIC code is 7370.