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GeezerVison is showing lambda.com — Workload Orchestration & Private Cloud Solutions | Lambda

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.

Talk to our team
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Kubernetes

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

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Slurm

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

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Run:ai

An AI workload scheduler from NVIDIA that runs on Lambda's Kubernetes service, giving teams policy-based GPU sharing and quotas across their clusters.
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dstack

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

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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

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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
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Choose your orchestration path

Ready to get started with powerful and flexible GPU orchestration?

Talk to our team
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