IBM has unveiled details of the upcoming new IBM Telum AI Processor, designed to bring deep learning inference to enterprise workloads to help address fraud in real-time. Telum is IBM’s first processor that contains on-chip acceleration for AI interface while a transaction is taking place. Three years in development, the breakthrough of this new on-chip hardware acceleration is designed to help customers achieve business insights at scale across banking, finance, trading, insurance applications and customer interactions. A Telum-based system is planned for the first half of 2022.
Today, businesses typically apply detection techniques to catch fraud after it occurs, a process that can be time consuming and compute-intensive due to the limitations of today’s technology, particularly when fraud analysis and detection is conducted far away from mission critical transactions and data. Due to latency requirements, complex fraud detection often cannot be completed in real-time – meaning a bad actor could have already successfully purchased goods with a stolen credit card before the retailer is aware fraud has taken place.
The new chip features an innovative centralised design, which allows clients to leverage the full power of the AI processor for AI-specific workloads, making it ideal for financial services workloads like fraud detection, loan processing, clearing and settlement of trades, anti-money laundering and risk analysis. With these new innovations, clients will be positioned to enhance existing rules-based fraud detection or use machine learning, accelerate credit approval processes, improve customer service and profitability, identify which trades or transactions may fail, and propose solutions to create a more efficient settlement process.
Telum follows IBM’s long heritage of innovative design and engineering that includes hardware and software co-creation and integration that spans silicon, system, firmware, operating systems and leading software frameworks.
The chip contains 8 processor cores with a deep super-scalar out-of-order instruction pipeline, running with more than 5GHz clock frequency, optimized for the demands of heterogenous enterprise class workloads. The completely redesigned cache and chip-interconnection infrastructure provides 32MB cache per core, and can scale to 32 Telum chips. The dual-chip module design contains 22 billion transistors and 19 miles of wire on 17 metal layers.
Telum is the first IBM chip with technology created by the IBM Research AI Hardware Center. In addition, Samsung is IBM’s technology development partner for the Telum AI processor, developed in 7nm EUV technology node.
Telum is another example of IBM’s leadership in hardware technology. IBM Research, among the world’s largest industrial research organisations, recently announced scaling to the 2 nm node, the latest benchmark in IBM’s legacy of contributions to silicon and semiconductor innovation. In Albany, NY, home to the IBM AI Hardware Centre and Albany Nanotech Complex, IBM Research has created a leading collaborative ecosystem with public-private industry players to fuel advances in semiconductor research, helping to address global manufacturing demands and accelerate the growth of the chip industry.
Ravi Jain, Director, Server Sales, India South Asia said, “The financial services sector deals with a huge volume of transactions and mission critical workloads on a day-to-day basis. The newly launched IBM Telum, Z Series chip is designed to cater to the volume, while enabling applications to run efficiently where their data resides. The chip will also allow businesses to capture insights and fight fraud in real-time.”