A DevEx that's more than just vibes
Inference is mission-critical. Deploy models and compound AI systems with built-in tooling, observability, and logging.
The deployment process used to take up so much of our time. Now, it’s as simple as a few commands, and we’re done. What used to take hours now takes less than one, and the reduced maintenance means we can focus on improving our core product.
The deployment process used to take up so much of our time. Now, it’s as simple as a few commands, and we’re done. What used to take hours now takes less than one, and the reduced maintenance means we can focus on improving our core product.
Jagath Jai Kumar,
Full Stack Engineer
The deployment process used to take up so much of our time. Now, it’s as simple as a few commands, and we’re done. What used to take hours now takes less than one, and the reduced maintenance means we can focus on improving our core product.
The deployment process used to take up so much of our time. Now, it’s as simple as a few commands, and we’re done. What used to take hours now takes less than one, and the reduced maintenance means we can focus on improving our core product.
Tools built for performance at scale
Get global observability
Monitor your deployment health, adjust autoscaling policies, and shift resources to hit performance SLAs and eliminate downtime.
Drive faster release cycles
Integrate with your CI/CD processes to deploy, manage, and iterate on models in production without impacting user experience.
Optimize deployments for scale
We provide the tools and DevEx required to make sure models are performing reliably for every level of demand.
Model deployment tooling that won't make you mad
Deploy any AI model
Deploy any custom, fine-tuned, or open-source model with pure Python code and live reload using our open-source library, Truss.
Build low-latency compound AI
Deploy compound AI systems with custom hardware and autoscaling per step using Baseten Chains.
Ship Custom Servers
Deploy any Docker image and gain the full Baseten Inference Stack capabilities with Custom Servers.
Learn more
Talk to our engineersInference for custom-built LLMs could be a major headache. Thanks to Baseten, we’re getting cost-effective high-performance model serving without any extra burden on our internal engineering teams. Instead, we get to focus our expertise on creating the best possible domain-specific LLMs for our customers.
Inference for custom-built LLMs could be a major headache. Thanks to Baseten, we’re getting cost-effective high-performance model serving without any extra burden on our internal engineering teams. Instead, we get to focus our expertise on creating the best possible domain-specific LLMs for our customers.
Waseem Alshikh,
CTO and Co-Founder of Writer
Inference for custom-built LLMs could be a major headache. Thanks to Baseten, we’re getting cost-effective high-performance model serving without any extra burden on our internal engineering teams. Instead, we get to focus our expertise on creating the best possible domain-specific LLMs for our customers.
Inference for custom-built LLMs could be a major headache. Thanks to Baseten, we’re getting cost-effective high-performance model serving without any extra burden on our internal engineering teams. Instead, we get to focus our expertise on creating the best possible domain-specific LLMs for our customers.