Ultra-low-latency compound AI systems
Build real-time AI-native applications, not ChatGPT wrappers
Why Compound AI matters
Get faster, cheaper inference
Multi-model systems run faster and cost less in production versus massive omni-capable models.
Build multi-model interfaces
Today's AI-native customers demand seamless integration between every modality in their AI tools.
Use specialist models
Parallelize tasks across small, hyper-specialized models that can beat huge models in specific domains.
Elite products need elite performance
AI phone calling
Achieve industry-defining speeds with ultra-low-latency voice interactions at infinite scale.
AI agents
Deploy custom AI agents that can handle any type of request efficiently, providing an excellent user experience for customers anywhere in the world.
RAG pipelines
Combine LLMs with live data retrieval to generate context-aware responses quickly and reliably at scale.
Multiple models, one workflow
Eliminate overhead
Models call each other directly to reduce networking overhead, excess latency, and egress costs.
Heterogeneous autoscaling
Each step in the compound AI system has independent access to autoscaling GPUs, eliminating performance bottlenecks.
Flexible model management
Easily manage any number of AI models with a second-to-none developer experience.
Compound AI on Baseten
GET A DEMOWith Baseten, we gained a lot of control over our entire inference pipeline and worked with Baseten’s team to optimize each step.
Sahaj Garg,
Co-Founder and CTO
With Baseten, we gained a lot of control over our entire inference pipeline and worked with Baseten’s team to optimize each step.
