The installation of the Summit supercomputer.


IBM is doubling down on AI: releasing new software to help train machine-learning models and talking up the potential for its new Power9 systems to accelerate intelligent software.

Today IBM unveiled new software that will make it easier to train machine-learning models to take decisions and extract insights from big data.

The Deep Learning Impact software tools will help users develop AI models using popular open-source, deep-learning frameworks, such as TensorFlow and Caffe, and will be added to IBM’s Spectrum Conductor software from December.

Alongside the software reveal, IBM has been talking up new systems based around its new Power9 processor — which are on display at this year’s SC17 event.

IBM says these systems are tailored towards AI workloads, due to their ability to rapidly shuttle data between between Power9 CPUs and hardware accelerators, such as GPUs and FPGAs, commonly used both in training and running machine-learning models.

Power9 systems will have high-bandwidth connections between the Power9 processor and accelerators in the rest of the system, according to IBM, which says Power9 will be the first commercial platform with on-chip support for the latest high-speed connectors, including Nvidia’s next-generation NVLink, OpenCAPI 3.0 and PCI-Express 4.0.

“We see that the era of the on-chip microprocessor — with processing integrated on one chip — is dying as well as Moore’s Law lapsing,” says Brad…

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