Keysight Introduces Leading Benchmarking Solution to Fast-Track Deployment of Artificial Intelligence Infrastructure
- Keysight Technologies, Inc. enters the AI and ML infrastructure ecosystem with the Keysight AI Data Center Test Platform
- The solution enhances benchmarking of new AI infrastructures with unprecedented scale and efficiency
- The platform provides choice for emulating AI workloads with measurable fidelity using Keysight hardware load appliances or software endpoints on real AI accelerators
- It 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
- The platform complements testing AI / ML workloads using GPUs, offering a more scalable and integrated AI test platform
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Keysight Technologies' introduction of the AI Data Center Test Platform represents a significant stride in the AI and ML infrastructure space. This platform addresses the critical need for efficient AI model training and validation, which is a cornerstone for businesses that rely on AI for their operations. The ability to emulate AI workloads with high fidelity is crucial for understanding network performance and optimizing AI network fabric, which ultimately leads to reduced training times and cost savings.
Focusing on the 800GE technology, which is highlighted as a driver for AI/ML growth, the platform's alignment with the predicted 100% annual bandwidth growth through the end of the decade underscores its potential to support the rapidly expanding data requirements of AI/ML workloads. This is particularly relevant given the industry's shift towards higher network port speeds and the need for robust infrastructure to support such advancements.
The entry of Keysight into the AI/ML test platform market could potentially disrupt the current competitive landscape, as the company leverages its existing partnerships with hyperscalers and AI infrastructure vendors. This could lead to increased market share and influence within the data center testing industry. The platform's promise of scalability and efficiency in validating and benchmarking AI infrastructures could attract a wide range of customers, from large AI operators to smaller businesses seeking to improve their AI capabilities.
With the platform's introduction, Keysight is positioning itself at the forefront of a market where demand for AI/ML network optimization is burgeoning. The ability to execute defined AI/ML behavioral models and share these between users could foster a collaborative environment that accelerates innovation and adoption of best practices in AI network design.
The financial implications of Keysight's AI Data Center Test Platform for investors and stakeholders are multifaceted. On one hand, the platform's potential to reduce the prohibitive costs associated with large-scale AI/ML infrastructure design and validation could translate into better margins for AI operators and, subsequently, for Keysight. On the other hand, the investment in research and development for such an innovative platform could be substantial and it will be crucial to monitor how Keysight manages these costs against the revenue generated from the platform.
Investors should pay attention to the adoption rate of the platform, especially given the statement about many deployments set to reach production in the next 18 months. A successful rollout and high adoption could signal strong future earnings for Keysight, while any delays or issues could negatively impact investor sentiment.
- Emulate hundreds of artificial intelligence accelerators
- Gain deeper insights into network performance, increased scalability, and faster time to market, at a lower cost than off-the-shelf solutions
- Reproduce realistic network behavior of artificial intelligence and machine learning workloads with measurable fidelity
The Keysight AI Data Center Test Platform gives network engineers a choice for emulating AI workloads with measurable fidelity, using Keysight hardware load appliances or software endpoints on real AI accelerators to compare benchmarking results. (Graphic: Business Wire)
The deployment and use of AI is growing rapidly across all industrial segments, and the race to train and deliver new AI models quickly and efficiently is a top priority for corporations. AI / ML workloads process vast amounts of data which requires high networking bandwidth and computing performance to reduce training time. However, the cost to design and validate large-scale “what-if” scenario assessments is prohibitive even for the largest AI operators.
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
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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.
Alan Weckel, Founder and Technology Analyst, 650 Group, said: “800GE is a critical driver for AI / ML growth with the technology poised to have the fastest ramp of any data center port speed in history. AI / ML bandwidth growth will grow at over
Martin Hull, Vice President, Cloud and Platforms at Arista Networks said: “It’s been proven that a high-speed Ethernet network delivers the economical scale and performance needed to reduce job completion time for processing AI / ML workloads while adhering to open standards. Keysight’s AI Test Platform is a valuable tool to validate Arista’s technological leadership in AI network design.”
Ram Periakaruppan, Vice President and General Manager, 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.”
Resources
- Keysight AI Data Center Test Platform
- Solution Brief: AI Data Center Test Platform
About Keysight Technologies
At Keysight (NYSE: KEYS), we inspire and empower innovators to bring world-changing technologies to life. As an S&P 500 company, we’re delivering market-leading design, emulation, and test solutions to help engineers develop and deploy faster, with less risk, throughout the entire product lifecycle. We’re a global innovation partner enabling customers in communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics markets to accelerate innovation to connect and secure the world. Learn more at Keysight Newsroom and www.keysight.com.
View source version on businesswire.com: https://www.businesswire.com/news/home/20240228217820/en/
Keysight Media Contacts
Paul Erwin
+1 248 430 9075
paul.erwin@keysight.com
Fusako Dohi
+81 42 660-2162
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Jenny Gallacher
+44 (0) 7800 737 982
jenny.gallacher@keysight.com
Source: Keysight Technologies, Inc.
FAQ
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