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Consistent Character by fofr
✓ verifiedFreemium
Cloud API to run and deploy open-source ML models; major developer platform.
👁 1.3M/mo♥ 17K
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The New GitBook
✓ verified
Widely used technical-documentation platform with AI-powered search; very high traffic.
👁 653K/mo♥ 2.9K
Pricing
No public pricing
CPU: $0.000100/sec
Nvidia A100 (80GB) GPU: $0.001400/sec
2x Nvidia A100 (80GB) GPU: $0.002800/sec
4x Nvidia A100 (80GB) GPU: $0.005600/sec
8x Nvidia A100 (80GB) GPU: $0.011200/sec
Nvidia H100 GPU: $0.001525/sec
Nvidia L40S GPU: $0.000975/sec
2x Nvidia L40S GPU: $0.001950/sec
4x Nvidia L40S GPU: $0.003900/sec
8x Nvidia L40S GPU: $0.007800/sec
Nvidia T4 GPU: $0.000225/sec
2x Nvidia H100 GPU: $0.003050/sec
4x Nvidia H100 GPU: $0.006100/sec
8x Nvidia H100 GPU: $0.012200/sec
No public pricing
No public pricing
Core features
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Run open-source machine learning models via API
- ✦Fine-tune models with custom data
- ✦Deploy custom models at scale
- ✦Automatic scaling of resources
- ✦Access to thousands of community-contributed models
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦AI-powered search and insights
- ✦Git-based workflow
- ✦WYSIWYG editor
- ✦OpenAPI spec file support
- ✦SEO and AI data ingestion optimization
- ✦Adaptive content
- ✦Built-in analytics
Use cases
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Generating images from text prompts
- →Generating videos from text prompts
- →Restoring old photos
- →Generating captions for images
- →Fine-tuning models for specific tasks
- →Deploying AI features in applications
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Build product documentation your users will love
- →Create interactive API docs
- →Localize your docs with AI
- →Centralize product docs, API reference, help center, and changelog
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