HOSTED·AI FOR NEOCLOUDS

Make your neocloud
‍5x more profitable

hosted·ai transforms neocloud economics with elastic GPUaaS and 100% utilization

In most neoclouds, about 60% of GPU capacity is not fully utilized. hosted·ai monetizes that idle GPU to 5x your revenue and margins.

Use multi-tenancy to maximize utilization and revenue from your GPU investments, and achieve much faster ROI

Transform GPU unit economics with elastic GPUaaS: serve more clients per GPU to multiply revenue and profits

Move from static to dynamic GPU provisioning, and achieve scale for variable inference workloads without additional CAPEX

See how hosted.ai works

Remove the barriers to neocloud profitability

hosted·ai is a high-margin ‘Neocloud in a box’

Neocloud challenges

hosted·ai solution

Super-high CAPEX

Your Neocloud is not very cloudy. You're renting bare metal to customers, which requires huge investment in GPU hardware.

Multi-tenant GPU resources

With hosted·ai you sell GPU resources on demand, not just metal. Serve more customers per GPU, and overcommit for 5x more margin.

GPU waste

Your high-cost GPU infrastructure is largely idle: on average, 60% of GPU resources are not used by tenants.

Dynamic workload allocation

Pool GPU resources and provision multi-tenant workloads from the pool, with optimized utilization. Monetize all of your GPU infrastructure.

Price erosion

You're still paying for your GPU investment as each new GPU launch reduces the price you can charge for older cards.

Normalize GPUs

Sell TFLOPs and VRAM, not just metal: workloads mostly care about performance, not the GPU they're running on.

Commoditization

As AI transitions from building models to running them, customers need elastic resources that scale to meet highly variable demand.

Sell GPU as a Service

With hosted·ai, resources flex with workload requirements while optimizing GPU utilization: you can multiply your customer base without having to multiply GPU investments.

Challenge: super-high CAPEX

Your Neocloud is not very cloudy. You're renting bare metal to customers, which requires huge investment in GPU hardware.

Solution: multi-tenant GPU resources

With hosted·ai you sell GPU resources on demand, not just metal. Serve more customers per GPU, and overcommit for 5x more margin.

Challenge: GPU waste

Your high-cost GPU infrastructure is largely idle: on average, 60% of GPU resources are not used by tenants.

Solution: dynamic workload allocation

Pool GPU resources and provision multi-tenant workloads from the pool, with optimized utilization. Monetize all of your GPU infrastructure.

Challenge: price erosion

You're still paying for your GPU investment as each new GPU launch reduces the price you can charge for older cards.

Solution: normalize GPUs

Sell TFLOPs and VRAM, not just metal: workloads mostly care about performance, not the GPU they're running on.

Challenge: not inference ready

As AI transitions from building models to running them, customers need elastic resources that scale to meet highly variable demand.

Solution: adaptive scheduling

With hosted·ai, resources flex with workload requirements while optimizing GPU utilization: you can multiply your customer base without having to multiply GPU investments.

1/4

neocloud platform demo

Multi-tenant GPUaaS with hosted·ai

Introduction

Creating GPU + compute regions

Adding GPUaaS nodes

Creating GPU pools

GPUaaS / cloud application library

User panel – creating teams, applying policies

User panel – subscribing to GPUaaS

GPUaaS policies in more detail

User panel – GPUaaS management

Multi tenant GPU instancing server demo

Book your 1:1 demo

Making neoclouds
elastic and efficient

With hosted·ai, GPUaaS adapts to variable multi-tenant workloads and maximizes utilization

Elastic GPUaaS

Today’s Neoclouds aren’t very cloudy. In Neocloud 2.0, GPUaaS is truly consumption-based and elastic to meet the demands of inference (variable workloads) as well as training.
‍
hosted·ai pools multiple GPUs, shares them securely with multiple tenants, and enables you to sell GPU resources on demand – not just whole cards or fixed slices. Bill for VRAM and TFLOPs plus add-on services, apps and models.

100% GPU utilization

In most neoclouds, GPU utilization averages 40%. Our goal is 100%. hosted·ai schedules workloads intelligently to maximize usage of each GPU.
‍
By optimizing utilization you can serve more customers with less hardware, reducing GPU waste, CAPEX and running costs. You have full control over task scheduling and prioritization for workloads and can bill customers accordingly.

Hosted·ai has already rebuilt GPU provider economics from the ground up, but the long game is just beginning.

Making neoclouds scalable and profitable

More customers per GPU. More ways to monetize your infrastructure.

Configurable GPUaaS tiers

Create GPU pools of any size and price/performance profile to suit different customer use cases - from cost-effective shared GPU, to dedicated GPU pools with maximum security and performance.

Transparent multi-tenancy

Users see virtual GPUs as normal, even when workloads are running on multi-GPU pools. Smart scheduling delivers the resources they need, on demand, with automated metering and billing.

Bare metal GPU

hosted·ai enables you to sell bare metal nodes, as well as VM + GPU (passthrough) and K8s-based GPUaaS through the same UI, using the same monetization and orchestration toolkit.

Monetize spare capacity

hosted·ai gives you additional channels for GPU revenue through GPU Mesh - our capacity sharing network for GPU resources - and through GPUaaS.com.

With hosted·ai, we’re streamlining the provisioning experience for AI teams that need reliable, easy, and cost-effective infrastructure.