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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.
Third-party image editor (rebranded from Nano Banana) reselling Nano Banana plus video models on credit plans.
Free trial available
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Free trial available
- ✦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
- ✦Text-to-image generation and editing
- ✦Background removal and portrait enhancement
- ✦Style transfer and inpainting/outpainting
- ✦Video generation (Veo 3.1, Seedance 2)
- ✦Commercial use and watermark removal
- →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
- →Editing and enhancing photos
- →Generating images and short videos
- →Removing backgrounds and transferring styles