IBM has unveiled its new IBM Telum processor that brings deep learning inference to enterprise workloads to help address fraud in real-time. The first Telum-based system is expected to be out by the first half of 2022.
Telum is the company’s first processor that contains on-chip acceleration for AI inferencing while a transaction is taking place.
Three years in development, the on-chip hardware acceleration is designed to help customers glean business insights at scale in areas such as banking, finance, trading, insurance applications, and customer interactions.
Today’s businesses typically apply detection techniques to catch fraud after an occurence. That’s a time consuming and compute-intensive process due to the limitations of technology, particularly when fraud analysis and detection is conducted far away from mission critical transactions and data.
Due to latency, complex fraud detection often cannot be completed in real-time, resulting in a stolen credit card being used before the retailer is aware that fraud has taken place.
Telum’s innovative centralised design allows clients to leverage the full power of the AI processor for AI-specific workloads, making it ideal for financial services workloads such as fraud detection, loan processing, clearing and settlement of trades, anti-money laundering, and risk analysis.
The chip contains eight processor cores with a deep super-scalar out-of-order instruction pipeline, running with more than 5GHz clock frequency, optimised 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.
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