Turns servers + GPUs into high-margin AI cloud infrastructure

Sell multi-tenant GPUaaS for AI model training, tuning, inference and AI as a service
Full suite of orchestration + monetization tools
Multi-tenant GPU + overcommit for maximum ROI
Sell elastic GPUaaS, AI as a service
Sell bare metal GPU, GPU + VMs
Sell on-premises GPU or wholesale via GPU Mesh
Unified KVM, K8s and bare metal management
White label UI, REST API, billing + integrations

Sell any flavour of GPU infrastructure services with customizable add-ons, automated billing and intutive self-service provisioning
Scales to fit workloads
Dedicated clusters
Model library/BYO
VMs + GPU passthrough
For genAI factories
CPU, storage, network
Ultra-efficient GPU orchestration maximizes utilization, revenue and margins
Create GPU pools for different use cases - from low-cost shared GPU to dedicated GPU with the highest security and performance.
Automatically schedules GPU resources to meet variable workload demands, and maximize GPU utilization.
Bill users for VRAM/TFLOPs consumption, as well as GPU instances, bare metal GPU, services, apps, and IaaS.
Set overcommit ratios per GPU pool to increase margins 2-5x without performance impact. Serve more customers per GPU.

Unlike any other platform, hosted·ai brings full multi-tenancy to GPU infrastructure. Serve more customers per GPU. Change the cost/margin equation for GPU cloud.

Many users run workloads across a pool of GPUs at the same time. User tasks are isolated and secured from other users.
Users are presented a GPU as normal, even when their tasks execute on the same physical GPU as other user tasks.
Customers get a full unmodified CUDA stack and full access to equivalent resources of the physical GPU they're paying for.
Unlike MIG, resources can burst; unlike time slicing, there is memory isolation and contention management
Bill users for GPU resource consumption, as well as bare metal nodes and fixed GPU instances
Bill for vCPU cores, ephemeral and permanent storage, and bandwidth
Combine resources into easy-to-consume packages (CPU, GPU, storage, network)
Combine applications and models with resources, and bill for one-click installs
Set global or local prices for any number of locations and GPU tiers
Sell your own GPUs and/or wholesale resources from GPU Mesh
Self-service panels for admins: full infrastructure lifecycle through the UI, plus UI console and terminal access, ticketing/helpdesk integration and notifications/alerts
Self-service for AI developers and enterprises: full customer lifecycle through the UI, with workspace management, app libraries, BYO model, detailed billing, utilization and reporting
Multi-tenant data isolation, encryption (data in transit, at rest), governance audit logs and admin activity tracking, role-based access control and air-gap support
Multi-org and multi-user for GPU, CPU, storage and network resources, with project isolation, resource quotas per tenant and reseller/sub-tenancy RBAC
Full REST API and integrations with a growing range of billing and customer management systems, including WHMCS, HubSpot, Stripe.
Deploy as a full hyperconverged stack, or integrate with your cloud platform. Use physical GPU nodes, or wholesale GPU infrastructure from GPU Mesh.