IBM unveils on-chip accelerated AI processor
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At the annual Hot Chips conference, IBM unveiled details of the upcoming new IBM Telum 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 inferencing while a transaction is taking place. The 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.
The chip features a centralized design, which allows clients to leverage the power of the AI processor for AI-specific workloads, such as financial services workloads, like fraud detection, loan processing, clearing and settlement of trades, anti-money laundering and risk analysis.
According to IBM, “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.”
The chip contains eight processor cores with a deep super-scalar out-of-order instruction pipeline, running with over 5GHz clock frequency, used for the demands of heterogenous enterprise class workloads. The 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.