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Developer platform for fast serverless inference and training of open generative models, billed per token or GPU-second.
Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.
Pay-per-use cloud API to run, fine-tune, and deploy thousands of open-source and proprietary AI models with one line of code.
Browser-based video editor with AI tools for creating, editing, subtitling, and repurposing content.
AI clipping tool that turns long videos into short vertical highlight clips for TikTok, Reels and Shorts, aimed at podcasters and marketers.
Free trial available
No public pricing
- ✦Serverless per-token inference with OpenAI/Anthropic-compatible APIs
- ✦On-demand dedicated and reserved GPU deployments
- ✦Fine-tuning and reinforcement-learning training pipelines
- ✦Large library of open LLM, vision, image and audio models
- ✦Optimized inference engine for throughput and latency
- ✦LPU custom inference hardware
- ✦GroqCloud tokens-as-a-service API
- ✦High-speed, low-latency inference
- ✦Pay-as-you-go token pricing
- ✦Free API key to start
- ✦Broad open-model support
- ✦One-line API calls to run community and proprietary AI models
- ✦Support for image, video, speech, and LLM generation models
- ✦Fine-tuning and custom model deployment via Cog
- ✦Per-second usage billing on shared or dedicated hardware
- ✦Automatic scaling for high-traffic private models
- ✦Thousands of community-published models with production APIs
- ✦Browser-based video editor
- ✦AI video generation from prompts
- ✦Auto subtitles and transcription
- ✦Dubbing and translation into 40+ languages
- ✦Repurpose long video into social clips
- ✦Text-to-speech and audio cleanup
- ✦Automatic highlight detection and clipping
- ✦Auto-reframe to vertical format
- ✦Text-based (transcript) video editing
- ✦Caption translation into 100+ languages
- ✦Brand templates and shareable links
- ✦Team workspace with member collaboration
- →Serving open models in production apps and agents
- →Fine-tuning models on private data
- →Powering code assistants, chatbots and RAG at scale
- →Running LLM inference at high speed
- →Cutting inference costs at scale
- →Powering low-latency AI chat apps
- →Serving models via a hosted API
- →Developers embedding image/video/speech generation into an app via API
- →Teams deploying and scaling their own fine-tuned models
- →Builders comparing outputs from multiple AI models in one playground
- →Companies avoiding GPU infrastructure management for ML inference
- →Editing videos without desktop software
- →Creating social-media clips
- →Adding captions and translations
- →Generating videos from text prompts
- →Team and marketing content creation
- →Podcasters turning episodes into shorts
- →Marketers repurposing webinars into social content
- →Coaches building a personal brand from client calls
- →Agencies scaling clip production for multiple clients