Backend.AI vs SkyPilot

Backend.AI is an AI infrastructure platform for building, training, and serving models, as well as running parallel computing jobs. Its container-level GPU virtualization divides physical GPU capacity into fractional allocations so multiple users can share a GPU. The Sokovan scheduler supports multi-node, multi-tenant workloads and policy-based resource management. The platform says its hardware abstraction layer supports more than 12 accelerator types, including products from NVIDIA, AMD, Intel, Rebellions, and FuriosaAI. It can be deployed on-premises, in public clouds, or in a hybrid setup; installation, model deployment, and updates can operate without internet connectivity in air-gapped networks. The browser-based WebUI provides cluster management, resource and session monitoring, and policy-based allocation. Listed cloud environments include AWS, GCP, Azure, and OCI. Storage integrations include VAST, WEKA, Pure Storage, and IBM Storage Scale, with NVIDIA GPUDirect Storage support. Open-source is free for home users installing on their own hardware. Enterprise plans require a quote. Production guidance says compute nodes should be network-isolated with restricted inbound access.

SkyPilot is an AI compute platform that manages Kubernetes, Slurm, virtual machines, on-premises systems and cloud resources through one interface. Listed workloads include development, pre-training, post-training and reinforcement learning, batch inference, sandboxes and inference endpoints. Scheduling provides priority queues, GPU sharing, quotas and intelligent placement across workloads. Fleet health checks can run proactively or reactively, with automatic remediation for GPU and NCCL faults. Integrations include AWS, GCP, Azure, Nebius, CoreWeave, Lambda, RunPod, Kubernetes, Slurm and on-premises infrastructure. SkyPilot can run standalone or connect to a remote API server for multi-user collaboration. Enterprise controls include SSO onboarding, RBAC, workspaces, policy enforcement, a unified dashboard, idle-compute stopping and cost reporting. Deployment options include BYOC, BYOK, private VPC and air-gapped environments. The project began as open source at UC Berkeley's Sky Computing Lab and is offered as open source. Documentation says Slurm support remains under active development and SkyServe on Slurm is not supported.