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.

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Kubernetes

Our reference Kubernetes architecture is optimized for AI and GPU workloads, backed by our leading reliability and security.

✔ Managed
✔ Preinstalled
✔ Self-installed

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Slurm

Our Slurm configuration is designed for large-scale AI workloads and available in both unmanaged and managed settings.

✔ Managed
✔ Self-installed
X Preinstalled 

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dstack

An open-source alternative to Kubernetes and Slurm designed to simplify AI development natively integrated with Lambda.

X Managed
✔ Self-managed
✔ Self-Deployed
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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

Increased efficiency

Optimize GPU utilization by intelligently scheduling workloads and minimizing idle time.

Faster time to results

Accelerate your AI/ML training and HPC simulations with automated workflows.

Simplified management

Streamline the deployment and management of complex GPU environments.

Cost optimization

Reduce infrastructure costs by maximizing resource utilization and avoiding over-provisioning.

Deployment options tailored to your needs

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Superclusters

Run on single-tenant NVIDIA GB300 NVL72 clusters with NVIDIA Quantum-2 InfiniBand for fast throughput and control
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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?