## 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](https://docs.skypilot.co/en/latest/docs/index.html) 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?