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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

OpenGPU Network is a decentralized GPU compute platform that connects users who need high-performance computing power with a global network of independent GPU providers, enabling AI inference, machine learning training, rendering, and other intensive workloads to run across distributed infrastructure instead of centralized cloud services. It acts as a global routing layer that automatically matches workloads with available GPU capacity worldwide, allowing tasks to be executed instantly without managing infrastructure or dealing with region limits, queues, or provisioning delays. It addresses the growing imbalance between high demand for GPUs and fragmented, underutilized supply by aggregating resources from data centers, cloud providers, and individual machines into a single network. OpenGPU operates on a blockchain-based system that coordinates task execution, verifies results, and distributes rewards, creating a trustless environment.

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 Supported
Mac Supported
Linux 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

Developers, AI teams, and enterprises that need scalable, cost-efficient GPU compute for training, inference, and high-performance workloads without relying on centralized cloud providers

Support

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

Support

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

Company Information

Massed Compute
United States
massedcompute.com

Company Information

OpenGPU
Founded: 2024
United States
opengpu.network/

Alternatives

Alternatives

Targon

Targon

Manifold Labs

Categories

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

Categories

Cloud GPU Supported

Integrations

Amazon Web Services (AWS) Not Supported
Google Cloud Platform Not Supported
NVIDIA DRIVE Supported
Shadeform Supported

Integrations

Amazon Web Services (AWS) Supported
Google Cloud Platform Supported
NVIDIA DRIVE Not 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 OpenGPU and update features and information