Flexible orchestration solutions for AI workloads
Seamlessly manage and scale your GPU workloads. From streamlined simplicity to maximum control, find the right orchestration solution for your AI needs.
Kubernetes
Our reference Kubernetes architecture is optimized for AI and GPU workloads, backed by our leading reliability and security.
✔ Managed
✔ Pre-installed
✔ Self-installed
Slurm
Our Slurm configuration is designed for large-scale AI workloads and available in both unmanaged and managed settings.
✔ Managed
✔ Self-installed
X Pre-installed
dstack
An open-source alternative to Kubernetes and Slurm designed to simplify AI development natively integrated with Lambda.
X Managed
✔ Self-managed
✔ Self-deployed
SkyPilot
SkyPilot makes it easy to orchestrate multiple pools of compute resources using Kubernetes. Launch and run portable workloads on Lambda’s Instances.
✔ Self-installed
✔ Self-managed
Key benefits of our orchestration solutions
01
Increased efficiency
Optimize GPU utilization by intelligently scheduling workloads and minimizing idle time.
02
Faster time to results
Accelerate your AI/ML training and HPC simulations with automated workflows.
03
Simplified management
Streamline the deployment and management of complex GPU environments.
04
Cost optimization
Reduce infrastructure costs by maximizing resource utilization and avoiding over-provisioning.
Deployment options tailored to your needs
Superclusters
Run on single-tenant NVIDIA GB300 NVL72 clusters with NVIDIA Quantum-2 InfiniBand for fast throughput and control
1-Click Clusters
Deploy NVIDIA B200 and H100 clusters with guided setup and built-in observability, allowing you to scale your current workflow
Choose your orchestration path
Ready to get started with powerful and flexible GPU orchestration?