PacificPacific Intelligent Technologies
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Related Products
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About
NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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About
Pacific provides GPU compute rental and modular AI infrastructure for organizations running AI training, fine-tuning and inference. Its catalog offers on-demand dedicated NVIDIA GPU nodes, including H100, H200 and B200 configurations, with larger systems and reserved capacity available by request. Rentals provide SSH access to bare-metal Linux hosts with NVIDIA drivers and CUDA. For longer-term or site-specific needs, Pacific offers reserved single-tenant clusters, managed on-premises deployments, colocation and bridge capacity while a permanent facility is prepared. Its factory-built modules combine compute, networking, cooling and power distribution for customer sites, colocation facilities or other suitable powered locations. Buyers include AI teams and infrastructure operators evaluating training or inference capacity, as well as organizations requiring greater control over compute deployment.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Enterprises, AI/ML teams and ISVs in search of a solution to deploy high-performance GPU-accelerated workloads while ensuring hardware-based confidentiality, integrity and scalability
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Audience
AI labs, startups, enterprises, and defense organizations that need NVIDIA GPU compute and AI infrastructure.
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$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 Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/data-center/solutions/confidential-computing/
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Company InformationPacific Intelligent Technologies
Founded: 2026
United States
pacificmachines.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Azure Confidential Computing
Supported
Blackwell Security
Supported
Google Cloud Platform
Supported
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Integrations
Azure Confidential Computing
Not Supported
Blackwell Security
Not Supported
Google Cloud Platform
Not Supported
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