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What is Massed Compute?

Massed Compute specializes in cutting-edge GPU computing solutions tailored for artificial intelligence, machine learning, scientific modeling, and data analytics demands. As a recognized NVIDIA Preferred Partner, the company provides an extensive selection of high-performance NVIDIA GPUs, including the A100, H100, L40, and A6000, ensuring optimal efficiency across various tasks. Clients can choose between bare metal servers for greater control and performance or on-demand compute instances that offer scalability and flexibility to meet their specific needs. Moreover, Massed Compute includes an Inventory API that allows seamless integration of GPU resources into current business operations, making the processes of provisioning, rebooting, and managing instances much easier. The organization's infrastructure is housed in Tier III data centers, guaranteeing high availability, strong redundancy systems, and effective cooling. Additionally, with SOC 2 Type II compliance, the platform adheres to rigorous security and data protection standards, making it a dependable option for companies. Massed Compute's commitment to excellence positions it as a valuable partner for businesses looking to fully leverage the capabilities of GPU technology in today's competitive landscape. This dedication to innovation and customer satisfaction further reinforces its role as a leader in the industry.

What is Amazon EC2 Capacity Blocks for ML?

Amazon EC2 Capacity Blocks are designed for machine learning, allowing users to secure accelerated compute instances within Amazon EC2 UltraClusters that are specifically optimized for their ML tasks. This service encompasses a variety of instance types, including P5en, P5e, P5, and P4d, which leverage NVIDIA's H200, H100, and A100 Tensor Core GPUs, along with Trn2 and Trn1 instances that utilize AWS Trainium. Users can reserve these instances for periods of up to six months, with flexible cluster sizes ranging from a single instance to as many as 64 instances, accommodating a maximum of 512 GPUs or 1,024 Trainium chips to meet a wide array of machine learning needs. Reservations can be conveniently made as much as eight weeks in advance. By employing Amazon EC2 UltraClusters, Capacity Blocks deliver a low-latency and high-throughput network, significantly improving the efficiency of distributed training processes. This setup ensures dependable access to superior computing resources, empowering you to plan your machine learning projects strategically, run experiments, develop prototypes, and manage anticipated surges in demand for machine learning applications. Ultimately, this service is crafted to enhance the machine learning workflow while promoting both scalability and performance, thereby allowing users to focus more on innovation and less on infrastructure. It stands as a pivotal tool for organizations looking to advance their machine learning initiatives effectively.

Media

Media

Integrations Supported

AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon EC2 UltraClusters
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon Web Services (AWS)
Greenovative
NVIDIA DRIVE
PyTorch
Shadeform
TensorFlow

Integrations Supported

AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon EC2 UltraClusters
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Amazon Web Services (AWS)
Greenovative
NVIDIA DRIVE
PyTorch
Shadeform
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

$21.60 per hour
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Massed Compute

Company Location

United States

Company Website

massedcompute.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/capacityblocks/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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