Lambda Labs Cloud
GPU cloud for training and inference with H100 and newer instances clusters private clouds containers storage and usage based hourly billing.
Overview
Lambda Labs Cloud lets you spin up powerful GPUs for deep learning in minutes. From single H100 instances to multi node clusters with fast interconnects, you get an environment preloaded for PyTorch and popular frameworks with templates for distributed training. The console exposes per hour pricing, region selection, storage and images so teams can standardize dev boxes and production trainers.
Private clusters and one click clusters reduce setup time and Lambda advertises competitive hourly rates and no egress fees. You can scale from experiments to hundreds of GPUs, attach block storage, and automate with Terraform or the API. Security options include private networking, role based access and project level quotas so finance can control spend.
Because Lambda also sells workstations, you can pair on prem boxes with cloud bursts when timelines spike. The platform focuses on speed, cost clarity and dependable throughput for modern foundation model workloads.
Key features
- Instant H100 class instances for training and inference
- One click clusters for distributed jobs with fast fabric
- Per hour pricing with no egress fees and clear quotas
- Prebuilt images for PyTorch CUDA and common stacks
- Terraform and API to automate provisioning at scale
- Private networking roles and quotas for control
- Attach block storage and snapshots for datasets
- Enterprise support and private cloud options
Best for
- Train LLMs and diffusion models on H100 with multi node templates
- Run high throughput inference with autoscaled instances
- Burst to cloud from on prem boxes during peak demands
- Host internal notebooks with GPU acceleration for teams
- Standardize golden images for controlled environments
- Benchmark models cost per token across GPU types
- Keep data in place while exporting results with no egress fees
- Prototype research quickly then scale to production clusters
Capabilities
GPU instances
Start H100 or newer instances with optimized images for PyTorch and CUDA and attach storage for datasets.
One click clusters
Spin up distributed clusters with fast fabric and templates for LLM and diffusion training.
API and Terraform
Provision environments quotas and images as code to control cost and repeatability.
Private cloud options
Use private networking roles and project quotas to meet security and budget needs.
Frequently Asked Questions
How is Lambda Labs Cloud priced?
Pricing is usage based by the hour per instance class with public rates and competitive H100 pricing and no egress fees listed on site.
Can I automate provisioning?
Yes, APIs and Terraform templates support repeatable infrastructure and quotas.
Do you support multi node training?
One click clusters and fast interconnects enable distributed training out of the box.
Is there a free tier to try GPUs?
There is no standing free GPU tier noted, but you can create an account and view public hourly pricing.
Can I pair with on prem hardware?
Yes, many teams burst to cloud while keeping primary training or inference on Lambda workstations.
