IBM reveals information on new, on-chip AI processor

Technology conglomerate IBM has reportedly announced vital details of its new processor at the annual Hot Chips conference. The company revealed that the IBM Telum Processor has been efficiently designed to address frauds in real time, by bringing in deep learning inference to enterprise workloads.

For the unversed, Telum is IBM's first processor embedded with on-chip acceleration for inferencing AI during a transaction. The processor has been in development for three years, and has been designed to help customers accomplish major business insights, across the BFSI industry.

The 2020 Consumer Sentinel Network Databook by the Federal Trade Commission has reported that more than USD 3.3 billion had been lost to fraud in 2020, a considerable increase from USD 1.8 billion in 2019. Using Telum however, will help clients to shift the paradigm to a fraud prevention posture from a fraud detection posture, thereby aiming for a new era of prevention of fraud at scale, sans any impact on the service level agreements (SLAs) prior to transaction completion.

As per sources, the chip has been built with 8 processor cores and an out-of-order, super-scalar instruction pipeline, that runs with a frequency of over 5GHz clock frequency, suitably optimized as required by heterogenous enterprise class workloads. The 1cache and chip-interconnection infrastructure, that has been completely redesigned, has the ability to scale to 32Telum chips, and can provide 32MB cache per core. Additionally, dual-chip module design apparently contains a mammoth 22 billion transistors and close to 19 miles of wire on 17 metal layers.

Featuring a highly innovative centralized design, the chip enables clients to completely leverage the power of the AI processor for workloads that are AI-centric. In consequence, it is ideal for financial service workloads such as trade clearance and settlement, risk analysis, loan processing, fraud detection, and anti-money laundering.

With this processor, clients will be appropriately positioned to improve customer service and profitability, use machine learning, fast-track credit approval processes, propose solutions for creating a highly efficient settlement process, and identify the trades or transactions that are likely to fail.



Source Credits:

https://newsroom.ibm.com/2021-08-23-IBM-Unveils-On-Chip-Accelerated-Artificial-Intelligence-Processor

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