The challenges facing businesses around the world keep getting more complex, and Telum will help solve these problems for years to come.įigure 1:The completely redesigned cache and chip-interconnection infrastructure provides 32MB cache per core, and allows clients to scale up to 32 chips. We see Telum as the next major step on a path for our processor technology, like previously the inventions of the mainframe and servers. This work eventually became part of a Telum-based system, which we expect in the first half of next year. Over the past few years, we’ve been working with the IBM Systems teams to integrate the AI core technology from this chip into IBM Z. It's at the forefront of low-precision training and inference AI, built atop 7nm chip technology. Our most recent AI core design was presented at the 2021 International Solid-State Circuits Conference (ISSCC) as the world’s first energy-efficient AI chip. Our goal is to continue improving AI hardware compute efficiency by 2.5 times every year for a decade, achieving 1,000 times better performance by 2029.
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Since 2017, we’ve been consistently improving the performance efficiency of our AI chips, boosting power performance by 2.5 times each year. Over that time, we’ve built three generations of AI cores, and in 2019 launched the AI Hardware Center in Albany, New York to create a wider AI hardware-software ecosystem. Roughly six years ago, we started looking into building purpose-built AI hardware to meet the future challenges that will require dedicated processing power for AI systems. The AI technology powering Telum comes, in part, from years of work of the AI hardware team at IBM Research.Īrtificial intelligence is enabling automation in a wide spectrum of industries but requires very high computational horsepower. The original IBM Z and Power systems were major shifts in technology capability, and we believe Telum is the next shift for IBM. Starting with the earliest mainframes to today's servers, every few years, we’ve been releasing ever more powerful CPUs. This could lead to breakthroughs in combating fraud, in credit approval, claims and settlements, and in financial trading, with systems able to conduct inferencing at the speed of a transaction.įrom the dawn of the digital age, IBM has regularly produced new chip designs.
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Telum is IBM’s first commercial processor to contain on-chip acceleration for AI inferencing. Today, IBM is unveiling the IBM Telum Processor, a new CPU chip that will allow IBM clients to use deep learning inference at scale. But in that infinitely small period of time, what if a powerful AI system could determine whether that transaction was fraudulent, rather than figuring it out after the fact? It’s already a modern miracle that trillions of transactions authorizing sales in split seconds can take place around the world each day. Consider what can happen in the instant between swiping your credit card and having your transaction approved.