Build your own GPU CloudBuild your own GPU Cloud

Fully integrated, multi-tenant, multi-vendor server, switch and storage management for GenAI, GPU intensive analytics and big data.Fully integrated, multi-tenant, multi-vendor server, switch and storage management for GenAI, GPU intensive analytics and big data.

Turn your infrastructure into a GPU cloud, giving AI teams instant access to the compute they need.

Accelerate AI infrastructure delivery

Give AI teams on-demand access to GPU resources through a self-service cloud experience, without the complexity of managing the underlying infrastructure.

Challenge

As an IT administrator it can become very challenging to meet requirements from the data science teams, whether that's an individual data scientist, a data engineer, a platform engineer, getting the GPU card installed and getting the drivers deployed in a fashion where they can be utilized by the overlying application can take days, weeks, even months to provision.

An IT administrator crouched in a dark data center, looking uncertain while holding a laptop amid tangled server cabling
The same IT administrator standing in a bright server aisle, smiling confidently while working on a tablet

Solution

MetalSoft enables clients to build GPU Clouds, that allows end users to have a cloud like experience where they can consume GPU infrastructure in matter of minutes. Our platform enables businesses to access high-performance computing resources, such as graphics processing units (GPUs), on-demand, without the burden of managing complex hardware and network setups.

Riding the Wave: Seizing The Explosive Potential of GPU-as-a-Service

The global neocloud market—specialized, AI-native cloud providers focused on GPU-as-a-Service (GPUaaS)—has rapidly expanded to exceed $25 billion in annual revenue. Driven by surging AI infrastructure demand, market forecasts project it will approach nearly $400 billion by 2031, growing at a massive 58% compound annual growth rate.

MetalSoft software platform enables fully automated GPU-as-a-Service infrastructure

Tailored Solutions for Your GPU Cloud Project

MetalSoft platforms support unique requirements depending on your use case, whether it's for hyper-parameter search, large-scale distributed training, or production inference.

Engage us for your GPU Cloud project, where we assist with cluster design, rack design, node design, cluster orchestration, resource allocation, and container architecture. We also help build the right storage architecture for you, whether it's single-tier, parallel cluster, or tiered storage. For networking, we support both single-switch topology and leaf-spine non-blocking topology.

Frequently Asked Questions

Everything you need to know about building your own GPU Cloud with MetalSoft.

GPU-as-a-Service allows teams to consume GPU infrastructure on demand through self-service provisioning. MetalSoft automates the underlying servers, networking, and storage, enabling GPUs to be allocated, used, and reclaimed quickly without manual infrastructure management.

Let's talk infrastructure

See how MetalSoft automates your stack from API to switch port.