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Keysight AI Data Center Test Platform Introduced

Keysight Technologies introduced the Keysight AI Data Center Test Platform, designed to accelerate innovation in AI / ML network validation and optimization.

The solution significantly improves benchmarking of new AI infrastructures with unprecedented scale and efficiency.

To overcome this challenge and accelerate the design and testing of AI / ML infrastructure, the Keysight AI Data Center Test Platform delivers highly tunable AI workload emulation, pre-packaged benchmarking apps, and dataset analysis tools to significantly improve performance of the AI / ML cluster network fabric.

To accelerate AI / ML network design, Keysight’s solution for data centers:

- Emulates high-scale AI workloads with measurable fidelity – Offers deep insights into collective communication performance

- Simplifies the benchmarking process – Provides validation of AI network fabric with pre-packaged benchmark applications, built through partnerships with the largest AI operators and AI infrastructure vendors

- Executes defined AI / ML behavioral models – Enables sharing between users and customers to help reproduce experiments

- Offers a choice of test engines – Choose between AI workload emulation on Keysight hardware load appliances and software endpoints or real AI accelerators to compare benchmarking results

The Keysight platform enables large scale validation and experimentation with fabric design in a realistic and cost-effective way. This solution complements testing AI / ML workloads using GPUs, providing AI operators with a more scalable, robust, and integrated AI test platform.

Ram Periakaruppan, VP and GM, Network Test & Security Solutions, Keysight, said: “As a leader in testing ultra-high-speed 800G Ethernet networks, Keysight continues to lead the way in innovation, having formed close partnerships with hyperscalers to co-design this groundbreaking new AI test platform that realistically benchmarks and emulates high-scale AI workloads unlike other test tools available today.”

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Keysight AI Data Center Test Platform Introduced

Keysight Technologies introduced the Keysight AI Data Center Test Platform, designed to accelerate innovation in AI / ML network validation and optimization.

The solution significantly improves benchmarking of new AI infrastructures with unprecedented scale and efficiency.

To overcome this challenge and accelerate the design and testing of AI / ML infrastructure, the Keysight AI Data Center Test Platform delivers highly tunable AI workload emulation, pre-packaged benchmarking apps, and dataset analysis tools to significantly improve performance of the AI / ML cluster network fabric.

To accelerate AI / ML network design, Keysight’s solution for data centers:

- Emulates high-scale AI workloads with measurable fidelity – Offers deep insights into collective communication performance

- Simplifies the benchmarking process – Provides validation of AI network fabric with pre-packaged benchmark applications, built through partnerships with the largest AI operators and AI infrastructure vendors

- Executes defined AI / ML behavioral models – Enables sharing between users and customers to help reproduce experiments

- Offers a choice of test engines – Choose between AI workload emulation on Keysight hardware load appliances and software endpoints or real AI accelerators to compare benchmarking results

The Keysight platform enables large scale validation and experimentation with fabric design in a realistic and cost-effective way. This solution complements testing AI / ML workloads using GPUs, providing AI operators with a more scalable, robust, and integrated AI test platform.

Ram Periakaruppan, VP and GM, Network Test & Security Solutions, Keysight, said: “As a leader in testing ultra-high-speed 800G Ethernet networks, Keysight continues to lead the way in innovation, having formed close partnerships with hyperscalers to co-design this groundbreaking new AI test platform that realistically benchmarks and emulates high-scale AI workloads unlike other test tools available today.”

The Latest

In the final part of APMdigest's 2025 Predictions Series, industry experts offer predictions on how AI will evolve and impact technology and business in 2025 ...

E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

Image
Broadcom

The 2025 Catchpoint SRE Report dives into the forces transforming the SRE landscape, exploring both the challenges and opportunities ahead. Let's break down the key findings and what they mean for SRE professionals and the businesses relying on them ...

Image
Catchpoint

The pressure on IT teams has never been greater. As data environments grow increasingly complex, resource shortages are emerging as a major obstacle for IT leaders striving to meet the demands of modern infrastructure management ... According to DataStrike's newly released 2025 Data Infrastructure Survey Report, more than half (54%) of IT leaders cite resource limitations as a top challenge, highlighting a growing trend toward outsourcing as a solution ...

Image
Datastrike

Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...

The adoption of artificial intelligence (AI) is accelerating across the telecoms industry, with 88% of fixed broadband service providers now investigating or trialing AI automation to enhance their fixed broadband services, according to new research from Incognito Software Systems and Omdia ...

 

AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...

Imagine a future where software, once a complex obstacle, becomes a natural extension of daily workflow — an intuitive, seamless experience that maximizes productivity and efficiency. This future is no longer a distant vision but a reality being crafted by the transformative power of Artificial Intelligence ...

Enterprise data sprawl already challenges companies' ability to protect and back up their data. Much of this information is never fully secured, leaving organizations vulnerable. Now, as GenAI platforms emerge as yet another environment where enterprise data is consumed, transformed, and created, this fragmentation is set to intensify ...

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Crashplan