Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
NVIDIA Brev is designed to streamline AI and ML development by delivering ready-to-use GPU environments hosted on popular cloud platforms. With Launchables, users can rapidly deploy preconfigured compute instances tailored to their project’s needs, including GPU capacity, container images, and essential files like notebooks or GitHub repositories. These Launchables can be customized, named, and generated with just a few clicks, then easily shared across social networks or directly with collaborators. The platform includes a variety of prebuilt Launchables that incorporate NVIDIA’s latest AI frameworks, microservices, and Blueprints, allowing developers to get started without delay. NVIDIA Brev also offers a virtual GPU sandbox, making it simple to set up CUDA-enabled environments, run Python scripts, and work within Jupyter notebooks right from a browser. Developers can monitor Launchable usage metrics and leverage CLI tools for fast code editing and SSH access. This flexible, easy-to-use platform accelerates the entire AI development lifecycle from experimentation to deployment. It empowers teams and startups to innovate faster by removing traditional infrastructure barriers.
Description
Pacific specializes in offering GPU computing rentals and modular AI infrastructure tailored for enterprises engaged in AI training, fine-tuning, and inference tasks. Their service catalog features on-demand dedicated NVIDIA GPU nodes, such as H100, H200, and B200 configurations, with the option for larger systems and reserved capacities upon request. The rentals include SSH access to bare-metal Linux hosts equipped with NVIDIA drivers and CUDA technology. For clients with longer-term or specific site requirements, Pacific provides reserved single-tenant clusters, managed on-premises installations, colocation solutions, and bridge capacity while permanent facilities are being established. Their factory-assembled modules integrate compute, networking, cooling, and power distribution, making them suitable for customer sites, colocation centers, or any other viable powered locations. The clientele comprises AI teams and infrastructure managers assessing their training or inference capabilities, along with organizations seeking enhanced control over their computing deployments. Additionally, Pacific's modular infrastructure can be quickly deployed, allowing for flexibility in scaling resources as AI projects evolve.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Alpaca
Yes
Amazon Web Services (AWS)
Yes
CUDA
Yes
Google Cloud Platform
Yes
Lambda
Yes
Llama 2
Yes
Lyzr
Yes
NVIDIA Isaac Sim
Yes
OpenAI
Yes
Python
Yes
Integrations
Alpaca
No
Amazon Web Services (AWS)
No
CUDA
No
Google Cloud Platform
No
Lambda
No
Llama 2
No
Lyzr
No
NVIDIA Isaac Sim
No
OpenAI
No
Python
No
Pricing Details
$0.04 per hour
Free Trial
No
Free Version
No
Pricing Details
$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.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/brev
Vendor Details
Company Name
Pacific Intelligent Technologies
Founded
2026
Country
United States
Website
pacificmachines.com