
Global compute fleet
Baseten Cloud orchestrates thousands of GPUs across multiple cloud providers and regions globally. Multi-cloud Capacity Management (MCM) provisions and manages that compute, so you avoid cloud lock-in while optimizing for latency, GPU availability, and cost. Benefits include:- Geographic distribution: Deploy across multiple cloud providers and regions to serve users with low latency worldwide.
- GPU availability: Reliable access to a variety of leading-edge GPU types, at the scale your workloads demand.
- Capacity pooling: Shared infrastructure enables rapid scaling, with no reservations or capacity planning.
- High availability: Active-active reliability across providers keeps inference available through individual provider outages. See current uptime on the status page.
Scaling and performance
The global fleet sets the ceiling on capacity. The Inference Stack determines how fast your model serves requests. Baseten Cloud automatically scales your models based on demand:- Scale-to-zero: Set the minimum replica count to zero to eliminate idle compute costs when a model has no traffic.
- Fast cold starts: The Baseten Delivery Network (BDN) accelerates cold starts through multi-tier caching and single-flight downloads that prevent thundering herd issues during burst scaling.
- Configurable autoscaling: Set autoscaling thresholds to match your workload requirements.
Data security
- Direct routing: Inference traffic routes directly to your workload plane, not through the control plane.
- Data residency: Use regional environments to constrain workloads and inference traffic to specific regions.
- Payload retention: Baseten doesn’t store synchronous inference inputs or outputs. Async inference stores inputs until the request runs; see Async inference. Weight caching is optional, and you can erase cached weights on request.