Baseten is a platform designed to simplify the deployment, scaling, and management of AI models in production. It caters to engineering and machine learning teams, offering a blend of performance, security, and a streamlined developer experience.
Key features include:
- High-Performance Inference: Delivers state-of-the-art performance across various modalities, supporting high-throughput models like DeepSeek-R1 and optimized Whisper transcription.
- Open-Source Model Packaging: Utilizes Truss, an open-source standard, for packaging models built in frameworks like PyTorch, TensorFlow, TensorRT, and Triton, enabling easy sharing and deployment.
- Effortless GPU Autoscaling: Automatically scales model replicas based on traffic, optimizing resource utilization and cost efficiency.
- Comprehensive Observability: Provides tools for monitoring inference counts, response times, and GPU uptime.
- Enterprise Readiness: Offers HIPAA compliance, SOC 2 Type II certification, and options for single tenancy deployments.
Baseten supports various use cases, including transcription, large language models, image generation, and compound AI. It offers deployment options such as Baseten Cloud, self-hosted, and hybrid deployments.
