Containers provide a portable and immutable format for packaging, deploying, and managing cloud-native applications at scale. Salad Container Engine (SCE) offers fully managed container orchestration, dynamically distributes workloads to optimal hardware cohorts in accordance with technical requirements, and features GPU-accelerated compute on every available node instance.

It’s the fastest, simplest, and most affordable way to run containerized HPC workloads—without managing virtual machines or underlying compute infrastructure.

We highly recommend checking out the FAQs for more information on how SCE works.

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Supported Workflows

SaladCloud offers two methods of creating and managing your deployments:

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Portal

The Portal is a browser-based UI at https://portal.salad.com that allows you full control over your deployments, including create, read, update, and delete functionality. The Portal also provides access to organization management, billing, and support.

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SaladCloud API

When you are ready for a deeper integration, the SaladCloud API also offers full control over your deployments. Occasionally, new features are made available from the API before they are visible in the Portal. You can dive directly into our API documentation here.

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Defining Workloads

In the Salad Container Engine lexicon, container deployments are known as Container Groups. Each Container Group represents a set of “identical” Container Instances that each run on dedicated hardware.

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Container Groups

A Container Group is defined as a container image, the required hardware resources, and a predetermined number of replicas to be maintained at any given time. Once a Container Group has been defined, SCE automatically creates or purges Container Instances as needed to reach the desired replica count.

For enhanced reliability and smoother operation, we strongly recommend deploying with a minimum of 2 replicas. This ensures your applications remain resilient and maintain performance, even if a node becomes temporarily unavailable. Scaling beyond a single node not only increases fault tolerance but also optimizes resource allocation and load balancing across our distributed cloud infrastructure. Start with 2 or more replicas to unlock the full potential of our platform and experience seamless scaling and improved uptime for your containers.

Container Groups can be created, started, stopped, or scaled via the SaladCloud API and UI, giving you direct control over your workloads before and after deployment.

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Container Instances

A Container Instance represents a single instantiation of a container on a dedicated host connected to the Salad network. Each time a container is deployed to a SaladCloud machine node, a new Container Instance is created with a unique id and discrete logs.

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Compute Environment

SaladCloud leverages hardware-native virtualization and industry-standard container runtimes to standardize the compute environment across a distributed network of heterogeneous hardware.

Once a container image has been deployed, SCE instantiates replicas on a predetermined number of available physical devices as stateless processes within virtual Linux subsystems.

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Host Environment

All SCE container instances deploy to consumer-owned hardware running modern Windows NT operating systems (Windows 10 or later). This allows the SaladCloud desktop client to leverage Microsoft Hyper-V virtualization features, manage and monitor workloads, and boot true Linux kernels from the Windows Subsystem for Linux (WSL2).

📘 Supported Containers

Currently, SCE supports Linux containers on AMD64 (also commonly known as x86-64). Container image manifests must be Docker compliant (e.g. Docker image manifest v1 or v2) or OCI Compliant. ARM architecture is not supported at this time. Windows containers are not supported at this time.

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Stateless Execution

Active SCE container instances are treated as stateless workloads. Whenever the virtual execution context closes (through down-scaling, batch job termination, or failure), the container image is purged from the host machine’s local memory. While running, the SaladCloud container orchestrator uses heartbeat monitoring to assess potential interruptions or other failures, and determine when and how best to dynamically fail over to another dedicated node to maximize resource availability.

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Open-source Dependencies

SaladCloud incorporates battle-tested and incrementally developed tooling for reliable performance and replicable results. The SaladCloud API conforms to OpenAPI specifications and generates templates in various coding languages to facilitate testing and development. When deployed from the SaladCloud API or the SaladCloud UI, SCE container instances are automatically executed in the latest stable version of the open-source containerd container runtime.

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Use Cases

SaladCloud’s affordable infrastructure is as versatile as your imagination. Here are just a few examples of what you can build with SCE:

• use AI models to perform image generation, text to audio, image captioning, and other tasks
• proxy video-streaming requests for virtual private networks
• conduct long-running data processing queues
• execute hyper-threaded, parallelized workloads
• distribute 3D rendering or VFX queues
• procedurally-generated mapping simulations
• access low-latency servers for P2P gaming

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Additional Considerations

Developers interested in using SCE should be aware of these additional considerations:

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Cold-start Overhead

In rare cases, if the Windows Subsystem for Linux utility is not installed on the best available host machine, the Salad Bowl daemon must install it before running container workloads within SaladCloud’s Linux distribution. This design pattern can introduce modest overhead in terms of cold-start time, but should not impact performance or reliability.

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Data-sensitivity Compliance

Customers in specialized industries may be legally obligated to protect sensitive data such as medical records or private financial information. While SaladCloud takes precautions to secure every workload on our network, we cannot guarantee that our solutions are considered compliant with requirements outlined by select regulatory commissions or legislative authorities (including but not limited to HIPAA and the Financial Modernization Act of 1999).

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Scaling Container Groups

While SCE does maintain a stable replica count within a given Container Group, SCE deployments do not currently auto-scale Container Groups based on performance. Container Groups must be scaled up or down on demand through the Portal, or by direct request via the SaladCloud API.

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Performance Variability

Because SaladCloud nodes are individual residential gaming PCs, there is some expected performance variability. Your container group may request 3 nodes with 2 vCPU, 12gb RAM, and an RTX 4090, but within that criteria, there can still be significant variability in network, compute, and storage performance. It is important to monitor the performance of your application over time so that you can detect anomalous behavior and reallocate under-performing nodes.