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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

NVIDIA virtual GPU (vGPU) software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization as well as the performance of NVIDIA GPUs required for modern workloads. Installed on a physical GPU in a cloud or enterprise data center server, NVIDIA vGPU software creates virtual GPUs that can be shared across multiple virtual machines, and accessed by any device, anywhere. Deliver performance virtually indistinguishable from a bare metal environment. Leverage common data center management tools such as live migration. Provision GPU resources with fractional or multi-GPU virtual machine (VM) instances. Responsive to changing business requirements and remote teams.

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

Businesses and remote teams searching for a solution to improve their workloads through streamlined GPU performance

Support

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

Support

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

API

Offers API Supported

API

Offers API Not 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 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 Not Supported
In Person Supported

Company Information

Massed Compute
United States
massedcompute.com

Company Information

NVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/data-center/virtual-solutions/

Alternatives

CambridgeNexus

CambridgeNexus

CambridgeNexus, Inc.

Alternatives

SambaNova

SambaNova

SambaNova Systems

Categories

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

Categories

Cloud GPU Supported

Integrations

AWS Marketplace Not Supported
Armet AI Not Supported
Azure Marketplace Not Supported
IBM Spectrum LSF Suites Not Supported
IONOS Cloud GPU Servers Not Supported
IREN Cloud Not Supported
Mistral Compute Not Supported
NVIDIA Base Command Manager Not Supported
NVIDIA DRIVE Supported
NVIDIA Magnum IO Not Supported
NVIDIA TensorRT Not Supported
Notenic Not Supported
SF Compute Not Supported
Shadeform Supported

Integrations

AWS Marketplace Supported
Armet AI Supported
Azure Marketplace Supported
IBM Spectrum LSF Suites Supported
IONOS Cloud GPU Servers Supported
IREN Cloud Supported
Mistral Compute Supported
NVIDIA Base Command Manager Supported
NVIDIA DRIVE Not Supported
NVIDIA Magnum IO Supported
NVIDIA TensorRT Supported
Notenic Supported
SF Compute Supported
Shadeform Not Supported
Claim Massed Compute and update features and information
Claim Massed Compute and update features and information
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Claim NVIDIA virtual GPU and update features and information