Secure AI Solutions

NVIDIA Confidential Computing

Securing data and AI models in use.

Overview

AI Security With Confidential Computing

As organizations turn to AI to enhance customer interactions and boost efficiency, a critical concern emerges: safeguarding their intellectual property while fine-tuning models. This is where data is most vulnerable, exposed to potential threats that could compromise its integrity and confidentiality. NVIDIA Confidential Computing on the NVIDIA Hopper™ architecture with the unprecedented acceleration of NVIDIA Tensor Core GPUs. NVIDIA Blackwell architecture takes Confidential AI to the next level with nearly identical performance as unencrypted models of every size — even large language models (LLMs). With NVIDIA Confidential Computing, businesses can uncover revolutionary insights with confidence that data and models remain secure, compliant, and uncompromised.

How Confidential Computing Is Being Used

Confidential Computing has implemented technology that helps protect data in use. In this Linux Foundation report, read how the future holds opportunities with AI and how organizations can protect those workloads with confidential computing.

Benefits

Confidential Computing Secures Every AI Workload

Explore how enterprises can secure the AI stack with NVIDIA Confidential Computing and Secure AI.

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Securing Customized AI for Inference and Training

Protecting data in use and generative AI with NVIDIA Blackwell has never been easier. NVIDIA Confidential Computing was designed to be the fastest, most secure, and most evidence-based solution in the market for every AI workload, to ensure customers won’t need to choose between performance or security for AI models of any size.

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High-Performance AI Security

NVIDIA Confidential Computing preserves the confidentiality and integrity of AI models and algorithms that are deployed on Hopper and Blackwell GPUs. Independent software vendors (ISVs) can distribute and deploy their proprietary AI models at scale on shared or remote infrastructure from edge to cloud.

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No Code Changes

NVIDIA Confidential Computing on Hopper and Blackwell GPUs allows companies to quickly move any model into a protected enclave without code changes. Just identify the workloads that need to be protected and with a few keystrokes, those workloads are secure.

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Verifiability with Device Attestation

Support a zero-trust architecture with attestation services that verify the trustworthiness of compute assets. Maintain compliance and ensure that apps and data are protected within the trusted execution environment (TEE) with Blackwell and Hopper GPUs, regardless of where the platform or workload is running.

Products

Confidential Computing With NVIDIA

AI security and meeting the imperatives around data sovereignty is possible today, regardless of where your data resides. NVIDIA has provided the trusted foundation to secure AI, whether data is in the cloud, hybrid cloud, or on-prem.

Hybrid cloud environment

Secure Data On-Prem or in the Hybrid Cloud

For AI workloads that are running within a local data center or in a hybrid cloud environment, NVIDIA Confidential Computing gives organizations the tools to protect every workload with high performance.

Learn how to quickly secure your AI workloads

Secure Data in the Cloud

NVIDIA Confidential Computing is available today through cloud service providers. Click below to learn how to quickly secure your AI workloads.

NVIDIA Remote Attestation Solutions

Verifiable Security

NVIDIA Remote Attestation Service enables Confidential Computing by providing robust mechanisms to ensure the integrity and security of devices and platforms.

Use Cases

Explore Customer and Partner Success Stories

Discover how leading organizations across healthcare, financial services, manufacturing, and government are revolutionizing security with NVIDIA Confidential Computing—cutting-edge technology that keeps sensitive workloads safe while data is in use.

Confidential Containers for AI Models, Prompt, and Weight Protection

Companies are using generative AI frameworks such as Privatemode.ai to keep prompts encrypted at all times with confidential computing by combining confidential virtual machines with NVIDIA H100 Tensor Core GPUs and secure sandboxing.

Explore more about how Edgeless Systems uses confidential computing

Resources

Advance Your Understanding

Learn more about NVIDIA Confidential Computing and Secure AI by exploring our blogs, training videos, Meet the Expert recordings, and GTC sessions.

Adopters

Advancing Every Industry With Secure AI

Google Cloud
Microsoft Azure

Next Steps

Ready to Get Started?

Secure your data today in a trusted execution environment powered by NVIDIA Confidential Computing.

Ready to Get Started?

If your data is stored in Microsoft Azure cloud, protect your data-in-use by accessing Confidential Computing.

Google Cloud Services

If your data is stored in Google Cloud, protect your data in use by accessing Confidential Computing in the Google cloud.

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