airgpuStackprint
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Related Products
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About
TensorWave is an AI and high-performance computing (HPC) cloud platform purpose-built for performance, powered exclusively by AMD Instinct Series GPUs. It delivers high-bandwidth, memory-optimized infrastructure that scales with your most demanding models, training, or inference. TensorWave offers access to AMD’s top-tier GPUs within seconds, including the MI300X and MI325X accelerators, which feature industry-leading memory capacity and bandwidth, with up to 256GB of HBM3E supporting 6.0TB/s. TensorWave's architecture includes UEC-ready capabilities that optimize the next generation of Ethernet for AI and HPC networking, and direct liquid cooling that delivers exceptional total cost of ownership with up to 51% data center energy cost savings. TensorWave provides high-speed network storage, ensuring game-changing performance, security, and scalability for AI pipelines. It offers plug-and-play compatibility with a wide range of tools and platforms, supporting models, libraries, etc.
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About
airgpu provides rented GPU-powered cloud computers for gaming and graphics-intensive tasks. Customers create a cloud PC, choose a hardware configuration and data-center location, then connect using Parsec or Moonlight. Unlike a fixed game-streaming catalog, the virtual computer lets users install their own games and applications, including software available through Steam and Epic Games Launcher. Typical uses include gaming, 3D rendering, video editing, virtual reality, and other workloads that benefit from a dedicated GPU. Computing is billed by use from account credit, with SSD storage charged separately. Hardware options and availability vary by GPU and region. Some multiplayer games may not work if anti-cheat systems block cloud PCs. airgpu serves gamers, creative professionals, and other users who want remote access to GPU-capable computing without purchasing a local computer.
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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
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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
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Audience
AI infrastructure architects in need of a solution to support demanding AI and machine learning workloads
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Audience
Individual gamers, creative professionals, and other users who need remote access to GPU-capable computing for gaming or graphics-intensive work.
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$0.65/hour
Pay-as-you-go charges are billed hourly based on the selected GPU configuration. SSD storage is charged separately by disk size, and credit is prepaid. Prices exclude VAT.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationTensorWave
United States
tensorwave.com
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Company InformationStackprint
Founded: 2020
Netherlands
airgpu.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
AMD Radeon ProRender
Supported
Axolotl
Supported
Hugging Face
Supported
LLaMA-Factory
Supported
Meta AI
Supported
Mosaic
Supported
Ollama
Supported
PyTorch
Supported
Shadeform
Supported
Supermicro MicroCloud
Supported
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Integrations
AMD Radeon ProRender
Not Supported
Axolotl
Not Supported
Hugging Face
Not Supported
LLaMA-Factory
Not Supported
Meta AI
Not Supported
Mosaic
Not Supported
Ollama
Not Supported
PyTorch
Not Supported
Shadeform
Not Supported
Supermicro MicroCloud
Not Supported
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