NVIDIA cuPQC for GPU-Accelerated Post-Quantum Cryptography

Summary

The advent of quantum computing poses a significant threat to current cryptographic systems. To address this challenge, NVIDIA has introduced cuPQC, a software development kit (SDK) designed to accelerate post-quantum cryptography (PQC) on GPUs. This article explores the key features and benefits of cuPQC, highlighting its potential to enhance the security and performance of cryptographic applications.

Accelerating Post-Quantum Cryptography with NVIDIA cuPQC

The transition to post-quantum cryptography is crucial for ensuring the security of digital communications in the face of emerging quantum threats. NVIDIA cuPQC is a groundbreaking SDK that leverages the parallel processing capabilities of GPUs to accelerate PQC algorithms.

The Need for Post-Quantum Cryptography

Quantum computers have the potential to break the public keys used in current cryptographic systems, compromising the security of digital communications. To mitigate this risk, researchers and developers are working on post-quantum cryptography algorithms that can resist quantum attacks.

How cuPQC Works

cuPQC harnesses the parallelism of GPUs to accelerate PQC algorithms, enabling developers to design and test their work more efficiently. The SDK supports a range of PQC protocols, including key encapsulation mechanisms (KEMs) and digital signature algorithms.

Key Benefits of cuPQC

1. High Performance: cuPQC accelerates PQC algorithms by up to 500x compared to CPU-based implementations, making it an ideal solution for high-throughput security applications.
2. Crypto-Agility: cuPQC enables seamless switching between different PQC schemes, ensuring that cryptographic applications can adapt to evolving security threats.
3. Security: cuPQC has undergone comprehensive side-channel security reviews and is fortified against threats exploiting timing data or device micro-architecture specifics.

Use Cases for cuPQC

1. Telecommunications: cuPQC can accelerate cryptographic operations in telecommunications networks, enhancing the security and performance of data transmission.
2. Financial Services: cuPQC can support high-throughput cryptographic operations in financial services, such as secure transactions and data encryption.
3. Cloud Infrastructure: cuPQC can accelerate cryptographic operations in cloud infrastructure management, ensuring the security and integrity of data stored in the cloud.

Industry Collaboration

NVIDIA is collaborating with leading companies in post-quantum cryptography, including EvolutionQ, PQShield, QuSecure, and SandboxAQ, to integrate cuPQC into their offerings. The company is also working with cloud service providers such as Amazon Web Services (AWS), Google Cloud, and Microsoft Azure to test cuPQC.

Performance Results

cuPQC has demonstrated impressive performance results, including:

• Accelerating Kyber, a proposed standard algorithm for securing quantum-resistant keys, by up to 500x on an NVIDIA H100 Tensor Core GPU compared to a CPU.
• Achieving 6.5 million key generations, 1 million signatures, and 5.7 million verifications per second throughput when running batched ML-DSA-65 on an NVIDIA H100 GPU.

#Table 1: Performance Results

Table 2: Use Cases for cuPQC

Conclusion

NVIDIA cuPQC is a powerful tool for accelerating post-quantum cryptography on GPUs. Its high performance, crypto-agility, and security features make it an ideal solution for a range of applications, from telecommunications to financial services and cloud infrastructure management. As the threat of quantum computing continues to grow, cuPQC is poised to play a critical role in ensuring the security and integrity of digital communications.