March, 2025
API Cost EstimatorAPI Cost Estimator helps users forecast and plan their model usage expenses before deploying or adding credits. With the cost estimator, users can:
- Select any model to simulate expected usage costs
- Input estimated daily input and output token usage
- View real-time cost projections for daily and monthly usage
- Understand base pricing for selected models (input/output token rates)
- Get smart recommendations for credit top-ups based on usage patterns
- Make informed decisions on model selection and scaling before deployment
December, 2025
New DashboardDashboard is a centralized control panel designed to give users a complete overview of their AI usage, resources, and platform activity in one place. With the new Dashboard, users can:
- Monitor available credits and usage at a glance
- Discover and access trending or latest models from the Models Hub
- Track key metrics such as total tokens, active VMs, fine-tuning jobs, and deployments
- Perform quick actions like accessing templates or starting fine-tuning workflows
- Manage API keys and interact with Serverless APIs بسهولة
- Explore GPU resources and available configurations
- View recent activity including model usage, inference, and deployments
- Access live demos, documentation, and support directly from the dashboard
November, 2025
Bring Your Own ModelBYOM (Bring Your Own Model) enables users to seamlessly deploy and run their own models on the platform with full flexibility and control. With BYOM from Hugging Face, users can:
- Select any model from Hugging Face by providing the model ID
- Authenticate securely using a Hugging Face access token
- Deploy models on GPUs of their choice based on performance needs
- Run custom models alongside native platform models
- Scale deployments based on workload requirements
- Quickly move from model selection to production-ready deployment
October, 2025
Model PlaygroundPlayground is a unified interface that allows users to test and experiment with all models and APIs from a single page. With Playground, users can:
- Evaluate model performance using custom prompts
- View key metrics such as TTFT, TPS, and total tokens
- Adjust model parameters to fine-tune outputs
- Generate API keys and copy API requests directly
- Configure system prompts and include few-shot examples
- Enable or disable streaming directly from the UI