Community-Powered Compute
Run containerized workloads on thousands of idle consumer GPUs contributed by suppliers worldwide, without the overhead of managing infrastructure. With unmatched elasticity, low cost, and instant access to powerful hardware, SCE Community is the fastest way to ship GPU workloads at scale.
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Optimized for High-Volume, Stateless Workloads
Designed for parallelism at scale, SCE Community is ideal for inference and long-running batch workloads. With globally distributed nodes and no minimum commitment, you can deploy fast and scale on demand.
Fully Managed, Massively Elastic
Salad Container Engine makes deploying GPU containers as simple as pushing a Docker image. Whether you need 10 or 10,000 replicas, Salad handles orchestration, scaling, and teardown for you—no YAML files, no cluster config, just compute.
Efficiency, Affordability & Reach
SCE Community is designed for teams that care about speed-to-deploy and cost-to-run. By leveraging unused GPU cycles from a global network of contributors, Salad delivers massive scale at a fraction of the cost of traditional cloud.
Purpose-built for
cloud-native applications
Scale quickly to thousands of GPU instances worldwide without the need to manage VMs or individual instances, all with a simple usage-based price structure.
Reduce budget bloat
Save up to 50% on orchestration services from big box providers, plus discounts on recurring plans.
On-demand elasticity
Scale to 10,000+ nodes on demand using our toolkits, or build a custom K8s integration with our simple API.
Optimized usage fees
Pay for exactly what you need with predictable and transparent usage fees billed down to the minute.
Multicloud compatible
Deploy Salad Container Engine workloads alongside your existing hybrid or multi-cloud configurations.
GPU-Driven Processing
Distribute data batch jobs, HPC workloads, and rendering queues to thousands of 3D-accelerated GPUs.
Compute-Class Flexibility
Choose from budget-friendly consumer GPUs or secure clusters, depending on your workload and compliance needs.