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hosted·ai
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About hosted·ai
hosted·ai provides a software-defined GPU platform for service providers to build and operate AI clouds. It enables dynamic multi-tenant GPU scheduling, overcommit, and capacity sharing to maximize GPU utilization and revenue per card. The platform includes GPU orchestration, monetization tools, and a GPU Mesh network for wholesale GPU access. It supports bare metal servers, virtual machines, and Kubernetes workloads with elastic GPUaaS capabilities. Service providers can deploy hosted·ai as a standalone GPUaaS solution or as a full hyperconverged stack. The platform offers configurable pricing, metering, billing, and self-service interfaces with RBAC and reporting. It also provides an AI model library and white-label UI options for go-to-market support.
Key features
- GPU orchestration and multi-tenancy
- Dynamic GPU scheduling and overcommit
- GPU Mesh capacity sharing network
- Bare metal and VM support
- Kubernetes integration
- Pricing, metering, and billing tools
- Self-service UI and CLI
- White-label UI and REST API
Use cases
- Building profitable AI cloud infrastructure for service providers
- Monetizing idle GPU capacity through capacity sharing
- Deploying elastic GPUaaS for variable inference workloads
Pros
- Turnkey platform for GPU cloud deployment and operations
- Dynamic multi-tenant GPU scheduling and overcommit for higher utilization
- GPU Mesh network for wholesale GPU capacity sharing
- Supports bare metal, VMs, and Kubernetes workloads
- Includes monetization tools, pricing, metering, and billing
Cons
- No clear pricing transparency beyond VRAM-based billing
- Requires deployment on existing infrastructure or as hyperconverged stack
- No mention of free tier or open-source options
Frequently asked questions about hosted·ai
What is hosted·ai and who is it designed for?
hosted·ai is a turnkey GPUaaS platform designed for service providers, including CSPs, telcos, hosts, and energy providers, to build and operate profitable AI clouds by monetizing GPU infrastructure.
How does hosted·ai help increase GPU utilization and revenue?
The platform uses dynamic multi-tenant GPU scheduling, overcommit, and capacity sharing to push GPU utilization toward 100%, enabling providers to serve more clients per GPU and increase revenue per card.
What deployment options does hosted·ai offer?
Providers can deploy hosted·ai as a standalone GPUaaS solution or as a full hyperconverged stack, using their own GPUs or accessing capacity via the GPU Mesh network.
Does hosted·ai support different workload types?
Yes, the platform supports bare metal servers, virtual machines, and Kubernetes workloads with elastic GPUaaS capabilities, allowing flexible hosting of variable inference and tokenized workloads.
What monetization and go-to-market tools does hosted·ai provide?
The platform includes configurable pricing, metering, billing, self-service interfaces, RBAC, reporting, an AI model library, and white-label UI options to support go-to-market strategies.
How can I get started with hosted·ai?
To get started, providers can deploy the platform, configure GPUaaS products and pricing, and launch services through a rebrandable portal or CRM integration, with support available for go-to-market planning.
hosted·ai Website Engagement
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India
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Monthly Traffic
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Traffic Share By Country
- India100%
