Groq

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Groq

Groq, Inc. is a company specializing in artificial intelligence (AI) hardware and software solutions. Founded in 2016 by ex-Google engineers, Groq focuses on delivering AI acceleration technologies to power next-generation applications across industries. With its deterministic approach to computation, Groq redefines performance and efficiency in AI inference tasks, providing scalable and developer-friendly solutions.

Headquartered in Mountain View, California, Groq operates globally, with additional offices in Canada, Europe, and other parts of the United States. Their solutions are tailored to meet the demands of enterprises seeking high-speed AI capabilities with a focus on reliability and cost efficiency.

General Information

Attribute	Details
Author	Jonathan Ross, CEO and Founder of Groq
Company	Groq
Founded	2016
Documentation	Groq Libraries
Github repository	https://github.com/groq
Discord	https://discord.com/invite/groq
technology Type	AI Accelerator Hardware and Software Solutions

Products and Services:

Language Processing Unit (LPU): Groq's LPU is architected from the ground up with a software-first design to meet the unique characteristics and needs of AI. It offers a deterministic execution model, eliminating traditional hardware bottlenecks and providing seamless scalability.
GroqCloud: A developer-centric platform that provides API access to Groq’s high-performance AI models. GroqCloud supports a range of applications, from vision and language processing to real-time inference tasks, delivering low-cost and high-quality results.
AI Models and API Access: Groq offers a range of AI models accessible via APIs, including vision models like Llama 3.2 11B Vision 8k and Llama 3.2 90B Vision 8k. These models are designed to provide high-quality, real-time inference for various applications.

How to Start Building with Groq

To begin leveraging Groq’s high-performance AI solutions, start by exploring their development environment. Developers can tap into GroqCloud for seamless API access to pre-trained models or optimize their own AI workloads using Groq's Language Processing Unit (LPU).

Visit Groq's GitHub repository to download SDKs, tools, and libraries required for your development.

Start building with Groq 👉 https://console.groq.com/login

Edit on GitHub

Groq AI technology page Hackathon projects

Discover innovative solutions crafted with Groq AI technology page, developed by our community members during our engaging hackathons.

SwarmPay — Agent Marketplace on Arc with ERC-8004

SwarmPay is an autonomous AI agent marketplace where six specialized agents compete in reputation-based auctions to win tasks, then sub-contract work to each other and settle payments individually on Arc testnet using Circle USDC. The agentic economy needs trust primitives that don't exist on traditional payment rails. SwarmPay implements them: each agent is registered as an ERC-721 NFT on the ERC-8004 Identity Registry (chain 5042002), with their Circle wallets cryptographically bound on-chain via EIP-712 setAgentWallet. Reputation is dual-layer: a Postgres mirror for fast UI reads, and on-chain feedback via giveFeedback() on the ERC-8004 Reputation Registry, submitted by a separate validator EOA per the spec's anti-self-dealing rule. Any judge can verify any agent independently with one cast call against Arc RPC. Every payment intent is signed with EIP-712 typed data by the agent's bound Circle wallet, then verified server-side with two layers: ECDSA signature recovery, and cross-check against the Identity Registry's getAgentWallet(tokenId). The recovered signer must match the on-chain bound wallet or the intent is rejected. Settlement happens per-action through Circle's createTransaction with blockchain ARC-TESTNET — no batching, no custodial control, no aggregation. Every subtask payment generates a real on-chain USDC transfer with a verifiable txHash on testnet.arcscan.app. Agent execution uses Gemini 3 Pro for orchestration (Deep Think for negotiation and synthesis) and Gemini 3 Flash for transactional roles, with a Groq Llama 3.3 70B and OpenAI GPT-4o-mini cascade for redundancy. Sub-agent recursion is real: the lead agent runs its own bidding war for subtasks. Per-millisecond compute billing surfaces in the UI alongside x402 protocol triplets. Built alongside Divine. Fully open source. Stack: Next.js 16, TypeScript, Tailwind, Supabase, Circle Developer-Controlled Wallets, ethers v6, Arc testnet, Vercel.

SkillBid

SkillBid introduces a new economic primitive for the agentic internet. Today, AI agents have no way to autonomously pay each other for services; every transaction requires human intervention, custodial systems, or is simply too expensive due to gas fees. SkillBid solves this with a first-price sealed-bid auction system. When a user submits a task, three specialist AI agents, a Summarizer, Translator, and Sentiment Analyzer, simultaneously submit competitive bids in USDC. The cheapest agent wins, executes the task using LLM inference, and receives instant payment via Circle Nanopayments settled on Arc blockchain. Every transaction is sub-cent, ranging from $0.001 to $0.008 USDC per task. This model is only economically viable because of Arc. On the Ethereum mainnet, a single transaction costs $0.50–$2.00 in gas, 500x to 2000x the actual service price, making per-action agent commerce completely impossible. On Arc, gas overhead is negligible, enabling true micropayment-driven agent economies. The system is fully deployed and live. It includes a FastAPI Python backend, SQLite database tracking all tasks, bids, transactions, and agent earnings, four Circle Developer-Controlled Wallets (one per agent), and a React frontend showing live auctions, a real-time leaderboard, and a live transaction feed. Over 60 on-chain transactions were generated during development and testing. SkillBid demonstrates the future of machine-to-machine commerce, autonomous agents competing, pricing themselves, earning USDC, and operating as independent economic actors without any human in the loop.

Archie

AI agents are becoming incredibly capable at reasoning and coding. Yet a hard limit remains. The moment a task requires payment, the agent stops. This is because the internet is built for humans. Payments require credit cards and manual accounts. This makes software dependent on human intervention. Archie represents a shift toward machine native commerce. We believe that autonomous software should be able to spend money per action as easily as it spends compute per token. Archie is an agent that manages its own wallet. It uses Circle Nanopayments to buy premium data in real time. Our system uses the Arc Network to settle sub cent transactions. We use the x402 protocol to bridge the gap between intelligence and value. Every action is recorded on the blockchain as a proof of reputation. This creates a verifiable history of reliability for every agent. This is not just a tool. It is an economic participant. Archie demonstrates that when transaction costs disappear, agents can finally pay their own way. We are building the infrastructure for a world where machines transact directly with one another without human oversight.

AgentFloat

AgentFloat is an autonomous AI agent marketplace built on Arc L1 where every micro-action is priced and settled in sub-cent USDC via Circle Nanopayments and the x402 payment standard. The core problem: Ethereum gas fees of $2-5 per transaction make per-action agent payments mathematically impossible. Arc solves this with native USDC settlement at under $0.0001 per transaction — 20,000x cheaper. AgentFloat adds a second breakthrough: every agent holds its working capital in USYC — Circle's tokenized US Treasury fund — earning 4.75% APY on idle capital between tasks. When a payment fires, USYC redeems to USDC in one block on Arc, the x402 nanopayment settles in under a second, and the agent's ERC-8004 trust score updates onchain. We integrated Circle Nanopayments, Circle Wallets, Circle Gateway for crosschain unified balance, Circle CCTP v2 for native USDC bridging across 10 chains, and the Circle Bridge Kit for intelligent route selection. SpendingGuard enforces programmable per-action caps, daily limits, and pipeline budgets so agents cannot overspend autonomously. At scale: $1M in agent pool reserves earns $47,500 per year in USYC yield — partially subsidising pipeline operating costs. The larger the AgentFloat network grows, the cheaper it becomes to run. The agent economy pays for itself. Target audience: developers building production agentic pipelines who need sub-cent payment infrastructure, autonomous spending controls, and yield on idle agent capital.

BodyForgeAI – AI Fitness Coach & Blockchain Pay

BodyForgeAI is an intelligent fitness platform that combines AI coaching, personalized wellness planning, and blockchain-powered payments into one seamless experience. Users interact with an AI coach that asks smart questions about their goals, fitness level, body type, diet preferences, schedule, and lifestyle. Based on the conversation, the AI instantly generates customized workout routines and meal plans designed specifically for each user. Instead of manually building plans step by step, users receive complete ready-to-use fitness programs in seconds. These plans can be saved directly to a personal dashboard where users can view, manage, update, and track their progress anytime. Users can also modify plans whenever their goals change, such as fat loss, muscle gain, endurance, or general health improvement. The platform focuses on convenience and personalization. Whether someone is a beginner starting their fitness journey or an experienced athlete looking for structure, BodyForgeAI adapts recommendations based on real user needs. To support secure and transparent monetization, BodyForgeAI integrates Circle payments and ARC blockchain infrastructure. Users with funds in their connected wallet can instantly pay for services directly on-chain. Each API request costs 0.001 USDC, while AI token usage is billed at 0.01 USDC per 1,000 tokens. This creates a simple pay-as-you-go model where payments are automatic, fast, and only charged when features are used. BodyForgeAI demonstrates how AI can transform personal fitness coaching while blockchain enables trusted digital payments. It is a modern solution for users who want expert-level guidance, automation, and full control of their fitness journey in one platform.

Arc Climate Pay

Arc Climate Pay is a fully on-chain parametric weather insurance protocol built on Arc Network Testnet. Users purchase USDC-denominated policies against real climate conditions — frost, heat, heavy rain, drought, and high wind. When the on-chain oracle confirms a trigger, the smart contract executes the payout automatically. No claims process. No adjusters. No waiting. Just code. HOW IT WORKS Users connect their wallet and select a city (11 global cities supported), risk type, threshold, premium (5–20 USDC) and duration (7, 10 or 30 days). A weather oracle running 24/7 fetches real data from Open-Meteo API and writes it to the WeatherOracle contract every 10 minutes. When the condition is met, the payout executes instantly in USDC — no manual action required. AI AGENT & NANO-PAYMENTS The core innovation is the built-in AI agent powered by Groq (llama-3.3-70b-versatile). For just 0.01 USDC paid on-chain, the agent analyzes live oracle weather data and recommends optimal policy parameters. User pays → AI analyzes → policy deploys in two clicks. Arc's predictable USDC fees and sub-second finality make this micro-payment model economically viable at scale — exactly what the agentic economy requires. WHAT THIS UNLOCKS Climate risk is underfunded in DeFi. Farmers, businesses and individuals face real weather exposure — but traditional insurance is inaccessible, expensive and slow. Arc Climate Pay makes parametric weather protection available to anyone with a wallet. Combined with AI-powered policy generation at 0.01 USDC per query, it demonstrates that the agentic economy is already working on Arc Network today. COVERAGE 11 cities: Istanbul, New York, London, Tokyo, São Paulo, Seoul, Paris, Berlin, Dubai, Sydney, Mumbai. 5 risk types: Frost, Heat, Heavy Rain, Drought, High Wind. Premium: 5–20 USDC · Payout: up to 1.9× net premium · Duration: 7, 10 or 30 days.