Shakti AI Endpoints FAQs
Quick answers to help you get started.
What AI models are available through Shakti AI Endpoints?
Shakti offers pre-trained models for language processing, computer vision, and domain-specific applications such as healthcare, finance, and industrial AI. These include models like Chat, NLP, image processing, and custom embedding models.
Can I fine-tune AI models deployed through AI Endpoints?
Yes, Shakti AI Endpoints support fine-tuning of select models using your own datasets, allowing you to adapt pre-trained models for specific use cases and performance improvements.
What API protocols do Shakti AI Endpoints support?
Shakti AI Endpoints are compatible with industry-standard REST APIs, including OpenAI-compatible APIs, making integration with your existing applications seamless.
How is performance optimized for AI Endpoints?
Shakti AI Endpoints are highly optimized for low latency and high throughput, ensuring that requests are processed efficiently. We utilize advanced GPU configurations and load balancing to handle multiple requests simultaneously.
Is shakti AI Endpoints have token-based pricing?
Yes, billing ensures you only pay for the actual usage of each model, and detailed usage statistics are available in real-time.
Is multi-tenancy supported in Shakti AI Endpoints?
Yes, Shakti AI Endpoints support multi-tenancy, allowing organizations to manage multiple users and applications securely under a single account with role-based access control.