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Description

TensorWave is a cloud platform designed for AI and high-performance computing (HPC), exclusively utilizing AMD Instinct Series GPUs to ensure optimal performance. It features a high-bandwidth and memory-optimized infrastructure that seamlessly scales to accommodate even the most rigorous training or inference tasks. Users can access AMD’s leading GPUs in mere seconds, including advanced models like the MI300X and MI325X, renowned for their exceptional memory capacity and bandwidth, boasting up to 256GB of HBM3E and supporting speeds of 6.0TB/s. Additionally, TensorWave's architecture is equipped with UEC-ready functionalities that enhance the next generation of Ethernet for AI and HPC networking, as well as direct liquid cooling systems that significantly reduce total cost of ownership, achieving energy cost savings of up to 51% in data centers. The platform also incorporates high-speed network storage, which provides transformative performance, security, and scalability for AI workflows. Furthermore, it ensures seamless integration with a variety of tools and platforms, accommodating various models and libraries to enhance user experience. TensorWave stands out for its commitment to performance and efficiency in the evolving landscape of AI technology.

Description

GPU cloud computing is a service leveraging GPU technology to provide high-speed, real-time parallel and floating-point computing capabilities. This service is particularly well-suited for diverse applications, including 3D graphics rendering, video processing, deep learning, and scientific research. Users can easily manage GPU instances in a manner similar to standard ECS, significantly alleviating computational burdens. The RTX6000 GPU features thousands of computing units, demonstrating impressive efficiency in parallel processing tasks. For enhanced deep learning capabilities, it offers rapid completion of extensive computations. Additionally, GPU Direct facilitates seamless transmission of large data sets across networks. With an integrated acceleration framework, it enables quick deployment and efficient distribution of instances, allowing users to focus on essential tasks. We provide exceptional performance in the cloud at clear and competitive pricing. Furthermore, our pricing model is transparent and budget-friendly, offering options for on-demand billing, along with opportunities for increased savings through resource subscriptions. This flexibility ensures that users can optimize their cloud resources according to their specific needs and budget.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AMD Radeon ProRender Yes 
Axolotl Yes 
Hugging Face Yes 
LLaMA-Factory Yes 
Meta AI Yes 
Mosaic Yes 
Ollama Yes 
PyTorch Yes 
Shadeform Yes 
Supermicro MicroCloud Yes 
TensorFlow Yes 

Integrations

AMD Radeon ProRender No 
Axolotl No 
Hugging Face No 
LLaMA-Factory No 
Meta AI No 
Mosaic No 
Ollama No 
PyTorch No 
Shadeform No 
Supermicro MicroCloud No 
TensorFlow No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$4.13 per month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

TensorWave

Country

United States

Website

tensorwave.com

Vendor Details

Company Name

XRCLOUD

Country

United States

Website

www.xrcloud.com/gpu/

Product Features

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