IBM announced its upcoming Telum Processor on Tuesday, which is aimed to bring deep learning inference to enterprise workloads in order to combat fraud in real time.
Telum is IBM’s first processor with on-chip AI acceleration inferencing while a transaction is in progress.
Commenting on the development, Ravi Jain, Director – Server Sales, India South Asia, said in a statement, “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,”
The new chip architecture, according to the IBM, enables the use of deep learning inferencing on high-value transactions, which will dramatically improve the ability to detect fraud, among other applications.
It has a unique centralised design that enables clients to use the AI processor’s full capability for AI-specific workloads, making it ideal for financial services workloads such as fraud detection, loan processing, trade clearing and settlement, anti-money laundering, and risk analysis.
Clients will be able to improve existing rules-based fraud detection or use machine learning with these innovations, speed up credit approval processes, improve customer service and profitability, identify which trades or transactions may fail, and propose solutions to make the settlement process more efficient.
The chip has eight processor cores with a deep super-scalar out-of-order instruction pipeline and a clock frequency of more than 5GHz, making it ideal for heterogeneous enterprise-class workloads.
The entirely redesigned cache and chip-interconnection system can scale up to 32 Telum chips and provides 32MB cache per core. On 17 metal layers, the dual-chip module design comprises 22 billion transistors and 19 miles of wiring.