> ## Documentation Index > Fetch the complete documentation index at: https://docs.baseten.co/llms.txt > Use this file to discover all available pages before exploring further. # Baseten Cloud > Fully managed inference on Baseten's global fleet of elastic, on-demand compute. Baseten Cloud is the default hosting option. Baseten runs the infrastructure, and you configure [autoscaling](/deployment/autoscaling/overview) for each deployment. Models run on a multi-tenant infrastructure layer with namespace- and container-level isolation, and GPUs are never shared across customers. The global compute fleet scales without reservations or capacity planning. Baseten Cloud is self-service. [Sign up](https://app.baseten.co/signup) and start deploying today. For enterprise features, [talk to us](https://www.baseten.co/talk-to-us/) from your work email. Baseten Cloud architecture: models running on Baseten-managed multi-cloud compute ## Global compute fleet Baseten Cloud orchestrates thousands of GPUs across multiple cloud providers and regions globally. [Multi-cloud Capacity Management (MCM)](/concepts/howbasetenworks#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](https://status.baseten.co). ## 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)](/development/model/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](/deployment/autoscaling/overview) to match your workload requirements. The Inference Stack optimizes every layer of inference, from parallelized weight downloads and cold start acceleration to load-aware routing and dynamic batching, delivering out-of-the-box performance for throughput-sensitive workloads. Multi-region deployment, automatic health checks, failover, and zero-downtime rolling updates keep your models available. ## Data security * **Direct routing**: Inference traffic routes directly to your workload plane, not through the control plane. * **Data residency**: Use [regional environments](/deployment/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](/inference/async). Weight caching is optional, and you can erase cached weights on request. Baseten Cloud supports SOC 2 Type II, HIPAA, and GDPR compliance programs. See [Secure model inference](/observability/security) and the [Baseten Trust Center](https://trust.baseten.co/) for more information. ## Get started To deploy your own model on Baseten Cloud, follow [Build your first model](/development/model/build-your-first-model). To call a hosted model right away, follow the [quickstart guide](/quickstart).