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About

Massed Compute offers high-performance GPU computing solutions tailored for AI, machine learning, scientific simulations, and data analytics. As an NVIDIA Preferred Partner, it provides access to a comprehensive catalog of enterprise-grade NVIDIA GPUs, including A100, H100, L40, and A6000, ensuring optimal performance for various workloads. Users can choose between bare metal servers for maximum control and performance or on-demand compute instances for flexibility and scalability. Massed Compute's Inventory API allows seamless integration of GPU resources into existing business platforms, enabling provisioning, rebooting, and management of instances with ease. Massed Compute's infrastructure is housed in Tier III data centers, offering consistent uptime, advanced redundancy, and efficient cooling systems. With SOC 2 Type II compliance, the platform ensures high standards of security and data protection.

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.

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

AI researchers, data scientists, and developers requiring a solution to accelerate machine learning, scientific simulations, and data analytics workloads

Audience

AI infrastructure architects in need of a solution to support demanding AI and machine learning workloads

Support

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

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$21.60 per hour
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 1.0 / 5
ease 1.0 / 5
features 1.0 / 5
design 1.0 / 5
support 1.0 / 5

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

Pros & Cons from Real Users

Pros

  • Cheap price. But they get money from you in other ways. To be honest, there really isn't much else positive to talk about from my experience.

Cons

  • frequently unavailable, and when I finally deployed a VM with 4× H200 NVL GPUs on Ubuntu 24.04, the system image contained software packages that were significantly older than the versions that normally come with a standard Ubuntu 24.04 installation. In addition, CUDA was preinstalled, but it was also an outdated version. It gave the impression that an intentionally outdated software environment had been prepared, although I cannot confirm that. As a result, I had to spend a significant amount of billed time updating the system packages, CUDA, drivers, and related dependencies before I could begin my work. More importantly, the GPUs did not appear to have working NVLink connectivity, and CUDA peer-to-peer access between GPUs was unavailable. For multi-GPU workloads, this is a major limitation because GPU-to-GPU communication is critical for performance. I also requested a refund for my remaining unused credits, but it was declined. My interactions with support were slow and unhelpful.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Company Information

Massed Compute
United States
massedcompute.com

Company Information

TensorWave
United States
tensorwave.com

Alternatives

CambridgeNexus

CambridgeNexus

CambridgeNexus, Inc.

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services

Categories

AI Cloud Providers Supported
Bare Metal Server Supported
Cloud GPU Supported
Render Farms Supported

Categories

AI Cloud Providers Supported
AI Inference Supported
AI Infrastructure Supported
Bare Metal Server Supported
Cloud GPU Supported

Integrations

Shadeform Supported
AMD Radeon ProRender Not Supported
Axolotl Not Supported
Hugging Face Not Supported
LLaMA-Factory Not Supported
Meta AI Not Supported
Mosaic Not Supported
NVIDIA DRIVE Supported
Ollama Not Supported
PyTorch Not Supported
Supermicro MicroCloud Not Supported
TensorFlow Not Supported

Integrations

Shadeform Supported
AMD Radeon ProRender Supported
Axolotl Supported
Hugging Face Supported
LLaMA-Factory Supported
Meta AI Supported
Mosaic Supported
NVIDIA DRIVE Not Supported
Ollama Supported
PyTorch Supported
Supermicro MicroCloud Supported
TensorFlow Supported
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Claim Massed Compute and update features and information
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