Groq

Ultra-fast AI inference

devtoolsbasic pythonFree tier

Overview

Groq uses custom Language Processing Unit (LPU) hardware to deliver inference speeds 10x faster than GPU alternatives. Run Llama, Mistral, Gemma, and more models. Free tier with rate limits; paid plans for production use. The speed difference is dramatic.

Best For

+Speed-critical apps
+Real-time AI
+Chat applications
+Low-latency inference

News & Updates

RustyRAG v0.2 hits sub-200ms latency, uses Groq & Jina AI for open-source RAG

Developer 'Show HN' launched RustyRAG v0.2, an open-source RAG API built in Rust that achieves sub-200ms latency on localhost and sub-600ms from Azure North Central US to Brazil. The update switched to Cerebras/Groq for LLM inference, replaced Cohere with Jina AI's local v5-text-nano-retrieval embeddings, and added optional contextual retrieval via LLM-generated chunk prefixes. This demonstrates that CPU-only, open-source RAG can achieve production-grade latency benchmarks previously requiring GPUs or proprietary services.

NEW_TOOLS3/4/2026

Voquill launches open-source voice dictation tool, challenges WisprFlow and SuperWhisper

Voquill is a new open-source, cross-platform voice dictation tool that lets users dictate into any desktop application via a hotkey. It offers flexibility by allowing users to run Whisper locally, use Voquill's server, or connect to external providers like OpenAI, Claude, or Groq. This gives developers and privacy-conscious users full control over their data flow, unlike closed-source alternatives like WisprFlow and Monologue.

NEW_TOOLS3/3/2026

ReleasAI: Free tool turns Git commits into polished release notes in <1 second

A developer launched ReleasAI, a free web tool that converts raw Git commit messages into polished release notes in under one second. The tool uses Groq's LPU inference engine for speed, supports multiple output formats including GitHub Release and Slack, and requires no signup or API key. This eliminates the 20-minute manual chore developers face with each release, automating a tedious but essential documentation task.

NEW_TOOLS3/3/2026

Smart-commit-rs: Rust-based Git tool auto-generates commit messages via LLMs

A developer released smart-commit-rs, a zero-dependency Git commit tool built in Rust with a terminal user interface. The tool automatically generates commit messages following Conventional Commit and Gitmoji standards using LLMs from Groq, OpenAI, Anthropic, Gemini, Grok, and DeepSeek. This provides developers with a fast, lightweight alternative to existing commit message generators that often require Node.js or Python dependencies.

NEW_TOOLS3/2/2026

Show HN: ReleaseNotesAI – Git Commits to release notes via Groq

Hi HN,I’m Pram. Like many of you, I balance a full-time 9-to-5 job with building side projects. I built ReleaseNotesAI because I was tired of manually translating technical, messy commit logs into human-readable updates after every sprint.It’s an open-source tool designed to automate the boring part of shipping. Just paste your raw commits, and it generates professional release notes in seconds.The Tech Stack:AI: Powered by Groq for ultra-fast inference and generation.Deployment:

NEW_TOOLS3/1/2026

GameScout AI uses Groq's Llama 3 for sub-second game recommendations via natural language

A developer launched GameScout AI, an alternative to Steam's recommendation engine that finds games using natural language queries like 'cozy farming sims with a bit of action'. The app is built with Next.js and Tailwind and uses Groq's Llama 3 API for inference, achieving sub-second latency that makes semantic search feel instant. This demonstrates how specialized AI agents can disrupt generic platform features by understanding niche user intents that traditional algorithms miss.

BREAKTHROUGHS2/26/2026

TechGrill Launches AI Interview Simulator Using Groq's Llama 3.3 70B for Sub-Second Latency

A developer launched TechGrill, an AI-powered interview practice tool designed to simulate high-pressure senior-level technical interviews. The tool uses Groq's Llama 3.3 70B model to achieve sub-second response latency, keeping conversations fast-paced, and is built on Next.js 15 with Neon Postgres for data persistence. It generates a performance scorecard after just a few questions, providing immediate feedback for candidates preparing for real interviews.

NEW_TOOLS2/26/2026

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