Cloud GPU
Enterprise GPU power, delivered from the cloud.
Skip the hardware. Keep the horsepower.
Buying GPUs means capital, lead times, and a depreciation schedule. Renting ours means none of that. Massed Compute gives you on-demand access to current NVIDIA data-center GPUs — from a single card for development to multi-GPU NVLink instances for production — provisioned in minutes, billed by the hour, and scaled back down whenever the work is done.
Minutes
To First GPU
Provision Time
Blackwell
Latest Arch
B200 Ready
8-GPU
NVLink Nodes
Per Instance
Hourly
No Commitment
Scale Down Anytime
What you can run
One cloud,
every GPU workload.
Whatever you’d reach for a GPU to do, you can do it here — without owning the rack. These are the workloads teams run on our cloud every day.
LLM Training & Fine-Tuning
Train and fine-tune large language models on multi-GPU instances with NVLink and high-bandwidth memory. Spin up the cards you need for a run, then release them — no standing cluster to justify between projects.
Inference & Model Serving
Serve models at low latency and scale capacity to match traffic. Right-size to an L40S or H100 for production endpoints, or burst onto more cards when demand spikes and pull back when it settles.
Rendering & VFX
Push frames through GPU renderers and offload heavy scenes to the cloud. Add cards for a deadline crunch and release them when the project ships — render farm economics without the render farm.
Scientific & HPC
Run double-precision solvers, molecular dynamics, and large simulations without waiting on a shared cluster’s queue. FP64-capable GPUs and NVLink scaling, available the moment you need them.
Data Analytics & Visualization
Accelerate ETL, dataframes, and interactive visualization with GPU-backed pipelines. Pull a big instance for a heavy batch job, then drop back to something smaller for day-to-day exploration.
Computer Vision & Generative AI
Train detection and segmentation models, or generate images and video with diffusion pipelines. Match the card to the model — from a single GPU prototype to a multi-GPU production run.
Why teams run on our cloud
The capability of owning hardware,
without owning it.
You get current NVIDIA silicon, real engineering support, and the freedom to grow or shrink — while we carry the capital, the maintenance, and the racks.
Elastic Scale, No Capex
Start with one GPU and grow to a multi-node cluster on the same platform. Pay by the hour for what you use, scale down when the work is done, and skip the purchase order entirely.
Certified NVIDIA Hardware
As an NVIDIA Preferred Partner, we run the enterprise catalog with vendor-tested drivers and firmware from day one. No compiling, no compatibility surprises — just the compute your workload expects.
Engineers, Not Tickets
Our team has deep backgrounds in IT, HPC, and server configuration. Reach a real engineer who knows CUDA, drivers, and ML stacks — and helps you clear bottlenecks instead of filing tickets.
Trusted NVIDIA Partner
Certified hardware. Current drivers.
Every instance.
As an NVIDIA Preferred Partner, we have direct access to the full enterprise catalog. Every instance ships with vendor-tested drivers and firmware on day one — the latest Blackwell silicon alongside the proven Hopper and Ada generations, matched to your workload.
Enterprise GPU Solutions
The full enterprise catalog — Blackwell, Hopper, Ada Lovelace, Ampere. Matched to your workload, available on demand.
B200
B100
H200
H100
A100
L40S
RTX 6000 Ada
A6000
Three ways to run it
Pick the shape that fits the job.
The same cloud, three deployment models — from a single on-demand GPU for development to a multi-node cluster for production.
On-Demand
Launch a GPU instance in minutes, pay by the hour, and shut it down when your run completes. Ideal for iterative development and bursty jobs.
GPU Clusters
Multi-node, NVLink- and InfiniBand-connected clusters for distributed training and tightly coupled jobs that need to scale across many GPUs.
Bare Metal
Dedicated physical servers with no hypervisor and no neighbors — full hardware control for compliance-sensitive or performance-critical work.