GPU Cloud - VMs for Deep Learning

Lambda GPU Cloud
for Deep Learning

Train the most demanding AI, ML, and Deep Learning models. Scale from a single machine to an entire fleet of VMs with a few clicks.

Training with Lambda

Start or scale up your Deep Learning project with Lambda Cloud. Get started quickly, save on compute costs, and easily scale to hundreds of GPUs.

Discover more

Major frameworks preinstalled

Every VM comes preinstalled with the latest version of Lambda Stack — which includes major deep learning frameworks and CUDA® drivers.
Jupyter notebooks

In seconds, access a dedicated Jupyter Notebook development environment for each machine directly from the cloud dashboard.
Direct SSH access

For direct access, connect via the Web Terminal in the dashboard or use SSH directly with one of your provided SSH keys.

Spend less

Save up to 50% on compute costs

By building compute infrastructure at scale for the unique requirements of deep learning researchers, Lambda can pass on significant savings.
Reduce cloud TCO

Benefit from the flexibility of using cloud computing without paying a fortune in on-demand pricing when workloads rapidly increase.
No multi-year commitments

We provide on-demand pricing at or below typical one year commitment pricing — you benefit from lower costs without lock-in to a specific instance type.

Scale up

Multi-node distributed training

Instances support up to 10 Gbps of inter-node bandwidth to enable distributed training with Horovod or another framework.
Hyper-parameter optimization

Reduce model optimization times by scaling across large numbers of GPUs on one or more instances.
Growing research teams

Supplement oversubscribed or underpowered compute resources with dedicated instances for new team members.