TensorHost

TensorHost

GPU Server Hosts
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About

Traditionally, deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling take days or weeks time. However, with GPUonCLOUD’s dedicated GPU servers, it's a matter of hours. You may want to opt for pre-configured systems or pre-built instances with GPUs featuring deep learning frameworks like TensorFlow, PyTorch, MXNet, TensorRT, libraries e.g. real-time computer vision library OpenCV, thereby accelerating your AI/ML model-building experience. Among the wide variety of GPUs available to us, some of the GPU servers are best fit for graphics workstations and multi-player accelerated gaming. Instant jumpstart frameworks increase the speed and agility of the AI/ML environment with effective and efficient environment lifecycle management.

About

TensorHost provides GPU compute directly from infrastructure it owns and operates, rather than brokering capacity from third-party hosts. Customers request the workload, GPU requirements, quantity, and timing; service specifications and location are confirmed before an allocation is agreed. The service makes NVIDIA GPU capacity available for AI and other GPU-intensive computing workloads. TensorHost operates the underlying infrastructure, while customers use the provisioned compute for their own applications and workloads. It is intended for developers, AI teams, and organizations that need hosted GPU resources without purchasing and maintaining the underlying GPU servers. Compute is billed according to usage, with capacity and pricing arranged for the requested allocation.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies interested in a GPU server solution for AI and machine learning

Audience

Developers and businesses seeking GPU compute for AI workloads

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

$1 per hour
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.50/GPU-hour
RTX 5090 compute is $0.50 per GPU-hour, billed per second, with no minimums or egress charges. Other GPU configurations are quoted in USD.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

GPUonCLOUD
India
gpuoncloud.com/gpu-as-a-service/

Company Information

GPU Server Hosts
Founded: 2025
United Kingdom
tensorhost.com

Alternatives

Alternatives

Pacific

Pacific

Pacific Intelligent Technologies

Categories

AI Cloud Providers Supported
AI Infrastructure Supported
Cloud GPU Supported

Categories

Cloud GPU Supported

Integrations

MXNet Supported
PyTorch Supported
TensorFlow Supported

Integrations

MXNet Not Supported
PyTorch Not Supported
TensorFlow Not Supported
Claim GPUonCLOUD and update features and information
Claim GPUonCLOUD and update features and information
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Claim TensorHost and update features and information