Powerful GPUs, ready when you need them.

Train, fine-tune, and deploy on anything from a single A100 to multi-node H100 clusters.

Lanes
Describe your workload…
Deploying
New environment
Workload
Compute
Storage
Total$0.00/hr
Deploy

Everything your AI workloads need

Spin up any GPU

A100s, H100s, L40S, and more, from single cards to multi-node clusters. Take them on demand or reserve capacity for longer runs.

Plug into your agents

A CLI and API that drop into your existing agents and tooling, so you integrate in minutes, not weeks.

Right-size every job

Run a quick experiment or a long training job on exactly the capacity it needs, and only pay for what you use.

The right hardware for every run

A100 to H200, on demand

Pick the right card for the job, from a single A100 to H100 and H200 SXM. Take capacity on demand or reserve it for longer runs.

Multi-node clusters

Scale past a single box with clusters wired together over fast InfiniBand and NVLink, ready for large training runs.

Fast persistent storage

Attach network volumes for datasets and checkpoints that stay put between runs, sized to fit your data.

Regions near your data

Run in the region closest to your data and your team to keep latency low and transfers cheap.

Per-second billing

Spin up in seconds and pay by the second, so a quick experiment costs cents and nothing sits idle.

Bring your own stack

Run your own containers and frameworks. PyTorch, JAX, vLLM, or anything else, with no lock-in.

Built for AI teams

Run training, inference, fine-tuning, batch jobs, experiments, and agent workloads on hardware that fits each one, with the right GPUs, memory, and regions for your stack.

Model trainingInferenceFine-tuningBatch processingExperimentsAgent workloads

Frequently asked questions.

A100, H100, and H200 SXM today, from a single card to multi-node clusters, plus L40S and other options for lighter workloads. Tell us what you need and we will match it.

By the second, on demand. You pay for the GPUs and storage while your environment is live, and nothing once it is torn down. Reserved capacity is available for longer runs.

Yes. Multi-node clusters are wired together over fast InfiniBand and NVLink, so large training and fine-tuning jobs scale across boxes without extra setup.

Lanes Compute is in limited early access. Tell us about your workload using the form on this page and we will get you running, usually within a day or two.

Bring your own containers and frameworks. PyTorch, JAX, vLLM, Axolotl, DeepSpeed, and anything else that runs in a container works out of the box.

You choose the region, and your datasets and checkpoints stay on persistent volumes that you control. We do not train on your data or share it.

Spin up the compute your workload needs.

Get started

Tell us about your workload and the GPUs it needs. We'll be in touch soon to get you running.