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Home News Feed Blockchain News

NVIDIA Launches Secure AI General Availability with Enhanced Protection for Large Language Models

Blockchainby Blockchain
April 23, 2025

Joerg Hiller Apr 23, 2025 15:28

NVIDIA announces the general availability of its Secure AI solution, focusing on protecting large language models with enhanced security features.

NVIDIA Launches Secure AI General Availability with Enhanced Protection for Large Language Models

NVIDIA has officially announced the general availability of its Secure AI solution, a move aimed at bolstering the security of large language models (LLMs) as enterprises increasingly adopt AI for training and inference purposes. The announcement, made by Emily Sakata on the NVIDIA Developer Blog, underscores the necessity of protecting sensitive data and intellectual property in AI operations.

Enhanced Security Features

The Secure AI release introduces several key features designed to enhance data protection. One of the standout features is the Protected PCIe (PPCIE) mode, which safeguards multi-GPU configurations within a Confidential Virtual Machine. This mode marks a significant shift from the previous single GPU configuration, offering more robust security for complex AI workloads.

Additionally, NVIDIA has removed NV Link encryption to improve performance without compromising security. Changes in attestation processes further ensure that both GPUs and switches are securely configured in PPCIE mode.

Importance of Data Security

In today’s digital landscape, securing data is paramount. Businesses generate vast amounts of data that hold significant potential and value. While traditional security measures have focused on data-in-motion and data-at-rest, NVIDIA’s Confidential Computing (CC) addresses the often overlooked need to protect data in use. This approach prevents unauthorized access and modifications, ensuring that sensitive information remains secure.

Hardware and Software Requirements

The Secure AI solution is compatible with NVIDIA H100 and H200 Tensor Core GPUs, integrated within an HGX 8-GPU system. For optimal performance, systems should also feature CPUs that support a trusted execution environment (TEE), such as AMD SEV-SNP and Intel TDX technologies.

Supported CPUs include AMD’s EPYC Milan and Genoa series, as well as Intel’s 5th and 6th generation Xeon scalable processors. The solution also requires the latest NVIDIA driver (CUDA 12.8 Data Center Driver) and firmware, and is compatible with hypervisors like Microsoft Azure Hyper-V and KVM. Supported operating systems include Ubuntu 25.04 for AMD and Ubuntu 24.04 with patches for Intel.

General Availability and Resources

With the release of CUDA 12.8, support for PPCIE is now generally available, allowing enterprises to leverage full 8-GPU performance with the latest security enhancements. For detailed deployment guidance, NVIDIA provides extensive documentation and resources, which can be accessed directly through their official site.

For further insights into NVIDIA’s security offerings, including their Confidential Computing solutions, interested parties can explore the comprehensive resources available on the NVIDIA Trusted Computing Solutions page.

For more detailed information, visit the NVIDIA Developer Blog.

Image source: Shutterstock Read The Original Article on Blockchain.News

Tags: AI SECURITYCONFIDENTIAL COMPUTINGLARGE LANGUAGE MODELSNewsNvidia

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