Keysight Technologies leveraged 4th generation AMD EPYC™ CPUs from Advanced Micro Devices (AMD) to develop a benchmarking methodology for system performance evaluation for high-speed digital designers, network equipment manufacturers, and data center operators.
To provide more realistic performance benchmarks, Keysight in collaboration with AMD developed an integrated test case methodology that takes into account the processing power of central processing units (CPUs). Using realistic traffic emulation, this approach enables data center operators to extract more performance from a chosen CPU and to characterize the performance across multiple vectors while adhering to bandwidth requirements. The methodology was developed by deploying Keysight's software tools onto AMD EPYC™ processors to conduct staged test cases with realistic traffic at scale.
Highlights of the test case methodology include:
- Infrastructure scalability – In settings such as smart grids and smart manufacturing, smooth and reliable operation requires handling millions of concurrent devices. Traditional benchmarks frequently overlook the CPU's capacity and its capability to handle a considerably higher concurrent load as the network's bandwidth constraints obscure this ability. This new benchmarking approach is designed to uncover the true CPU power and scalability in these environments.
- Real-life authenticity – Mobile and 5G private networks support specialized fields like vision-based smart manufacturing, extended reality (XR) viewership, and retail workflows. Testing infrastructure for its capability to handle realistic application, voice, and video traffic is crucial. The new benchmark emphasizes replicating bulk activities with millions of devices establishing new sessions and including highly realistic scenarios like subscribers initiating voice, video, and web calls. This insight into real-world capabilities empowers data center operators to provision their infrastructures accurately.
Raghu Nambiar, Corporate Vice President, Data Center Ecosystems and Solutions, AMD, said: "5G mobile network operators worldwide are facing an unprecedented demand for bandwidth. This consistent growth of data traffic volume requires scalable and effective benchmarking solutions to accurately measure user experience. Our collaboration with Keysight demonstrates the ability of AMD EPYC CPUs to deliver impressive parallel processing performance to handle these high volumes of data traffic."
Ram Periakaruppan, Vice President and General Manager, Network Test & Security Solutions, Keysight said: "Single dimension benchmarking methodologies like throughput are insufficient for data center operators to properly design and deploy their compute infrastructure. New performance benchmarking is needed in the modern mobile and 5G private networks. When used, it highlights the prowess of the AMD 'Zen 4' chiplet architecture to meet complex demands in those networks."
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...