The Next Stage Of Confidential Computing: Multyx Introduces Built-In GPU-Enabled Trusted Execution Environments​

BY Noam Shalev | March 2, 2024
​Read the joint announcement with Microsoft.

 

The Multyx team is thrilled to announce a significant leap forward in our platform’s capabilities—the integration of GPU-enabled Trusted Execution Environments (TEEs). This advancement marks a major milestone in our commitment to providing cutting-edge, secure, and scalable computing solutions.​

Partnering with Microsoft for Next-Gen Computing​

Over the past year, the Multyx R&D team has collaborated closely with the Microsoft Confidential Computing team to bring this innovation to life. Together, we previewed and integrated the new Azure Confidential VMs featuring NVIDIA H100 Tensor Core GPUs into the Multyx platform. These state-of-the-art GPUs, combined with confidential computing technology, are designed to redefine the landscape of confidential and secure computation in the cloud.​

Unlocking New Possibilities with Confidential GPUs​

The integration of confidential-computing-enabled GPUs introduces unprecedented capabilities to the Multyx platform, particularly for Generative AI (Gen AI) and large language model (LLM)-based business applications. These advancements enable organizations to harness the immense computational power of GPUs while ensuring that sensitive data remains secure and confidential throughout the entire use of the Multyx system.​

What is Confidential Computing?​

Confidential computing is a transformative technology that protects data in use by performing computations within hardware-based, attested TEEs. These environments ensure that application code and data are shielded from unauthorized access or modification during use, providing a robust foundation for secure and trusted computing.​

Benefits for Gen AI and LLM Applications​

Generative AI and LLMs require vast computational resources to process complex algorithms and datasets. By leveraging GPU-enabled TEEs, the Multyx platform now offers:​

  • Enhanced Scalability: Handle larger datasets and more intricate computations with ease.​
  • Increased Efficiency: Optimize performance while maintaining robust security measures.​
  • Strengthened Security: Protect sensitive business data and intellectual property during AI model training and inference.​

​Driving Innovation in Secure Computing​

At Multyx, we are constantly pushing the boundaries of what’s possible with confidential computing. The integration of GPU-enabled TEEs underscores our dedication to improving the scalability, security, and computational power of our platform. By empowering businesses to unlock the full potential of Gen AI and LLMs, we are setting the stage for a future where innovation and security go hand in hand.​

Experience the Future Today​

We invite our customers and partners to explore the enhanced capabilities of the Multyx platform. Together, let’s shape a future where groundbreaking technology and uncompromising security drive success.​

​Stay tuned for more updates as we continue to innovate and expand the possibilities of confidential computing.​

 

​Read the joint announcement with Microsoft.
August 19, 2024

What Is Confidential Computing? And What Role Does It Take In Data Partnerships?​

BY Noam Shalev
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5 min read

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