GTC 21: 5 Data Center Networking and Ecosystem Sessions You Shouldn’t Miss!

We at NVIDIA are on a mission to bring the next generation data center vision to reality. Join us at NVIDIA GTC’21 (Apr 12-16, 2021) to witness the data center…

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NVIDIA
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Ash Bhalgat
•5 min read•advanced•
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Overview

The article highlights key sessions from NVIDIA's GTC 21 focused on data center networking and ecosystem innovations, emphasizing the role of Data Processing Units (DPUs) in modern data centers. It outlines how these technologies enhance security, cloud-native applications, and infrastructure acceleration.

What You'll Learn

1

How to integrate NVIDIA DPUs for enhanced security in 5G environments

2

Why virtual data plane acceleration is crucial for cloud-native applications

3

How to implement hardware offloading using BlueField DPUs with open-source tools

4

How to utilize DOCA for programming NVIDIA BlueField DPUs

5

How to benchmark kTLS hardware offload performance in NGINX

Key Questions Answered

What are the benefits of using DPUs in data centers?
DPUs enhance data access for GPUs and CPUs, enabling efficient deployment of networking, cybersecurity, and storage in virtualized and containerized environments. This technology supports modern workloads that require accelerated computing and secure data processing.
How does NVIDIA's BlueField-2 DPU improve 5G security?
The BlueField-2 DPU integrates with Palo Alto Networks' next-generation firewall to provide high-performance security solutions. It includes network offload engines designed to meet the demands of 5G and cloud environments, ensuring efficient Layer 7 security.
What is virtual data plane acceleration (vDPA) and its significance?
vDPA is an open standards technology that accelerates cloud networking for public cloud infrastructure as a service. It enhances performance for cloud-native applications by enabling faster data processing and reduced latency.
What is the purpose of DOCA in programming NVIDIA DPUs?
DOCA is a set of libraries, SDKs, and tools designed to simplify programming and application integration for NVIDIA BlueField DPUs. It enables developers to offload and accelerate various networking, virtualization, and security features.

Technologies & Tools

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Hardware
Nvidia Bluefield-2 Dpu
Used for accelerating data processing and enhancing security in data centers.
Software
Ktls
Provides hardware-accelerated encryption/decryption in the Linux kernel for improved performance.
Software
Nginx
Serves as the target workload for benchmarking kTLS hardware offload performance.

Key Actionable Insights

1
Leverage NVIDIA DPUs to enhance your data center's security posture, especially for 5G applications.
As more applications transition to 5G, integrating DPUs can provide the necessary performance and security enhancements required to handle increased data loads and security threats.
2
Adopt virtual data plane acceleration to optimize your cloud-native applications for better performance.
Implementing vDPA can significantly reduce latency and improve the efficiency of data processing in cloud environments, making it essential for modern application architectures.
3
Utilize the DOCA framework to streamline the development process for applications that require DPU capabilities.
By using DOCA, developers can focus on application logic while offloading complex networking and security tasks to the DPU, improving overall application performance.

Related Concepts

Data Center Networking
Cybersecurity In Cloud Environments
Cloud-native Application Development
Infrastructure As A Service (iaas)