Use Cases for Intel QuickAssist Technology

SSL/TLS Acceleration

The demand for secure data transmissions over the internet has surged due to widespread adoption of HTTPS by applications like Gmail, Twitter, and Facebook. Servers in data centers, telecom networks, and enterprises must handle increasing amounts of SSL traffic. Intel^® QAT can significantly boost SSL performance, ensuring efficient encryption and decryption of data during secure communication sessions2.

Asynchronous OpenSSL

The standard release of OpenSSL is serial in nature, handling one connection within one context. However, contributors to OpenSSL have been working on an exciting enhancement called Asynchronous OpenSSL.

This parallel development project aims to improve performance by allowing higher throughput for single flows and reducing context management overhead. Asynchronous OpenSSL promises many-fold performance increases, making it an excellent candidate for Intel^® QAT integration.

Cloud Computing

In cloud environments, where scalability and efficiency are critical, Intel^® QAT can accelerate cryptographic workloads. Whether it’s securing virtual machine communication or encrypting data at rest, Intel^® QAT ensures optimal performance while offloading CPU resources.

Network Security Appliances

Network security appliances, such as firewalls and intrusion detection systems, rely heavily on cryptographic functions. By leveraging Intel^® QAT, these appliances can handle large volumes of encrypted traffic without compromising performance.

Storage Solutions

Data encryption is essential for protecting sensitive information in storage systems. Intel^® QAT accelerates encryption and decryption tasks, allowing storage solutions to maintain high throughput while ensuring data confidentiality.

High Performance Computing (HPC)

Intel^® QAT significantly contributes to HPC by improving encryption, compression, and overall system efficiency. Its integration into HPC clusters ensures faster data handling, reduced resource consumption, and better performance across diverse workloads.