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What is Pacific?

Pacific is dedicated to providing GPU computing rentals and modular AI infrastructure specifically designed for businesses involved in AI training, fine-tuning, and inference processes. Their offerings include on-demand dedicated NVIDIA GPU nodes, featuring configurations such as H100, H200, and B200, with the possibility of larger systems and reserved capacities available upon request. The rentals grant SSH access to bare-metal Linux hosts that come pre-installed with NVIDIA drivers and CUDA technology. For clients needing longer-term solutions or specific site requirements, Pacific also offers reserved single-tenant clusters, managed on-premises setups, colocation options, and temporary bridge capacity while permanent facilities are being developed. Their factory-assembled modules encompass compute, networking, cooling, and power distribution, making them ideal for use at customer locations, colocation centers, or any other appropriately powered site. The target audience includes AI teams and infrastructure managers who are evaluating their training or inference capabilities, as well as organizations aiming for greater control over their computing resources. Furthermore, the modular infrastructure that Pacific provides can be swiftly deployed, ensuring adaptability in scaling resources to meet the evolving demands of AI projects, all while maintaining a commitment to user satisfaction and support.

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.

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Integrations Supported

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
PyTorch
TensorFlow

API Availability

API Availability

Pricing Information

$2.99/GPU-hour
Preview GPU-hour rates are H100 $2.99, H200 $4.49, and B200 $6.14. H100 reserved rates are $2.69/GPU-hour for 7–30 days, $2.54 for 31–90 days, and $2.39 for 91–180 days, by request. B300 and NVL72 pricing is by request. Preview rates are indicative until allocation is confirmed.

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Pacific Intelligent Technologies

Date Founded

2026

Company Location

United States

Company Website

pacificmachines.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/capacityblocks/

Categories and Features

Cloud GPU

Not specified

Categories and Features

AI Fine-Tuning

Not specified

AI Inference

Not specified

Cloud GPU

Not specified

Machine Learning

Not specified

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