Scale models across any cloud, anywhere
Run multi-node, multi-cloud, and multi-region workloads with Baseten Inference-optimized Infrastructure.
Rime's state-of-the-art p99 latency and 100% uptime is driven by our shared laser focus on fundamentals, and we're excited to push the frontier even further with Baseten.
Rime's state-of-the-art p99 latency and 100% uptime is driven by our shared laser focus on fundamentals, and we're excited to push the frontier even further with Baseten.
Lily Clifford,
Co-founder and CEO
Rime's state-of-the-art p99 latency and 100% uptime is driven by our shared laser focus on fundamentals, and we're excited to push the frontier even further with Baseten.
Rime's state-of-the-art p99 latency and 100% uptime is driven by our shared laser focus on fundamentals, and we're excited to push the frontier even further with Baseten.
Performant models require performant infrastructure
Scale anywhere
We built cross-cloud autoscaling so you can serve users anywhere in the world with low latency and high reliability.
Meet any demand
Our autoscaler matches resources to your models' traffic in real time, so latency stays low without you overspending on compute.
Guarantee reliability
Don't limit yourself to the reliability or capacity of any one cloud. We power four nines uptime with cross-cloud capacity management.
If you need to serve models at scale, you need Inference-optimized Infra
Fast cold starts
Spin up new replicas in seconds, not minutes. From GPU provisioning to loading weights, we optimized cold starts from the bottom up.
Optimized autoscaling
Our autoscaler analyzes incoming traffic to your models and spins up (or down) replicas to maintain your SLAs.
Flexible deployments
Scale in your cloud, ours, or both with Baseten Self-hosted, Cloud, and Hybrid deployment options.
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.