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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.
Free browser-extension toolkit bundling an AI tweet generator with Twitter utilities like video downloads and shadowban checks.
Free web tool for swapping one or many faces in photos and videos, aimed at memes and group-clip edits.
Free trial available
No public pricing
No public pricing
No public pricing
- ✦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
- ✦AI tweet generator by topic
- ✦Funny and fake tweet generators
- ✦Twitter video, image, and GIF downloaders
- ✦Mass tweet deletion by keyword, date, or engagement filters
- ✦Twitter algorithm ranking checker
- ✦Chrome and Edge browser extensions
- ✦Swaps multiple faces in one video simultaneously
- ✦Automatic face detection
- ✦Supports MP4, MOV and M4V up to 500MB or 10 minutes
- ✦Browser-based, no install, works on mobile
- ✦Uploaded files deleted after 7 days
- ✦Free to use
- ✦Sibling Beauty AI tools cover photo face swap, multi-picture swap and single video face swap
- →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
- →Users wanting quick AI-generated tweet ideas
- →People needing to bulk-clean old tweets
- →Anyone downloading Twitter media or checking tweet ranking
- →Swapping faces in group videos
- →Creating memes and reaction clips
- →Editing photos for social sharing