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Baseten is an enterprise-grade AI inference platform designed to help developers and companies deploy, optimize, and scale machine learning models in production environments. The platform delivers state-of-the-art performance across various AI modalities including large language models, image generation, transcription, text-to-speech, embeddings, and compound AI systems. Baseten powers mission-critical AI applications for industry-leading companies, providing the infrastructure and tooling needed to bring performant AI products to market quickly.
The platform is built on the Baseten Inference Stack, which combines bleeding-edge performance research with inference-optimized infrastructure and developer-friendly tooling. This foundation enables custom kernels, advanced decoding techniques, and sophisticated caching mechanisms that deliver industry-leading throughput and latency. The infrastructure scales workloads across any region and cloud provider, supporting both Baseten Cloud for fully-managed deployments and self-hosted options for enhanced security and control.
Baseten offers flexible deployment options including dedicated inference for high-scale workloads where teams can serve open-source, custom, and fine-tuned models on purpose-built infrastructure, and pre-optimized Model APIs that provide instant access to the latest AI models running on optimized infrastructure. The platform also supports training capabilities, allowing teams to train models and deploy them with one click on inference-optimized infrastructure for optimal performance.
The platform is engineered specifically for demanding generative AI applications with built-in optimizations for rapid image generation serving custom models or ComfyUI workflows, optimized transcription for the fastest and most accurate speech-to-text, real-time audio streaming for AI phone calls and voice agents, high-throughput LLM runtimes for models like Qwen and DeepSeek, high-performance embeddings with over 2x throughput improvement, and Baseten Chains for ultra-low-latency compound AI with granular hardware control.
- Deploy and scale open-source AI models like DeepSeek, Llama, and Qwen with optimized inference performance
- Serve custom machine learning models with automatic performance optimizations and horizontal scaling
- Build real-time voice AI applications with ultra-low time-to-first-byte audio streaming
- Generate images at scale using custom models or ComfyUI workflows with fine-tuning capabilities
- Power accurate speech transcription and speaker diarization for enterprise applications
- Run high-throughput LLM inference for production chatbots, agents, and coding assistants
- Implement ultra-low-latency compound AI systems with granular hardware allocation and autoscaling
- Deploy text-to-speech models for AI voice agents, translation services, and accessibility tools
- Train and fine-tune models then deploy them directly to production-optimized infrastructure
- Scale AI workloads across multiple clouds and regions with automatic failover and 99.99% uptime
- Serve high-performance embeddings for semantic search and retrieval-augmented generation
- Build production AI applications with enterprise-grade security including SOC 2 Type II and HIPAA compliance
