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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 Kinesis Network?

Kinesis functions as an all-encompassing computing platform that seamlessly unites diverse infrastructures across cloud environments, local systems, edge locations, and partner data centers into a unified framework. Users can readily launch applications by uploading a GitHub repository, providing a Dockerfile or container image, connecting a registry, choosing a template, or detailing application specifications; afterward, Kinesis analyzes the workload, determines the suitable CPU or GPU resources, and supports a real-time deployment. With its intent-driven controls, the platform empowers teams to fine-tune multiple aspects such as cost, reliability, latency, and multi-cloud capabilities while simplifying the management of VPCs, IAM hierarchies, and security group configurations. Standardized containers can operate effortlessly across various providers without necessitating rewrites or risking vendor lock-in, and crucial features like networking, autoscaling, monitoring, health checks, failover strategies, recovery options, certificates, secrets management, and rollback functionalities are embedded in every deployment. Moreover, Kinesis perpetually evaluates and makes informed choices regarding resource placement, scaling, utilization, and failure management in a multifaceted compute landscape, guaranteeing operational efficiency and resilience. This allows users to concentrate on enhancing their applications without worrying about the complexities of the underlying infrastructure, ultimately streamlining the development process. As a result, teams can innovate faster and respond more effectively to changing demands in their computing needs.

Media

No images available

Media

Integrations Supported

Integrations Supported

GitHub

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
On-Prem

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Pacific Intelligent Technologies

Date Founded

2026

Company Location

United States

Company Website

pacificmachines.com

Company Facts

Organization Name

Kinesis Network

Date Founded

2024

Company Location

United States

Company Website

kinesis.network/

Categories and Features

Cloud GPU

Not specified

Categories and Features

Cloud GPU

Not specified

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