IBM Corp. and Nvidia Corp. today revealed the next step in their plan to capitalize on the rapid adoption of artificial intelligence.

At the annual SC16 supercomputing conference today, the companies are showcasing a jointly developed toolkit dubbed PowerAI that contains custom versions of Torch, Theano and Caffe, three of the most popular open-source deep learning frameworks in the industry. The distributions have been optimized to run on the much-touted S822LC for HPC server that IBM unveiled in September. According to Big Blue, the machine is specifically geared towards running artificial intelligence and scientific workloads that rely on graphics processing unit chips to carry out their calculations.

To support this requirement, the S822LC for HPC combines two of IBM’s homegrown POWER8 processors with four accelerators from Nvidia’s Tesla P100 series. The chips are connected by an interconnect known as NVLink that the semiconductor maker developed to speed up the flow of between its GPUs and third-party processors. According to the company, the technology provides up to 12 times faster transfer times than the PCIe interfaces normally used for the task.

The result is that the server can run artificial intelligence workloads more efficiency than competing GPU-optimized servers such as Hewlett-Packard Enterprise Co.’s recently unveiled Apollo 6500, according to IBM and Nvidia, and it works even faster when paired with today’s newly introduced PowerAI toolkit. In an internal test carried out by IBM, the machine provided twice as much performance as the regular configuration of the S822LC while running the AlexNet image recognition system on Caffe.

PowerAI is available for free to organizations that deploy S822LC for HPC. Early adopters include cloud provider Nimbix and the Human Brain Project, a research initiative funded European Commission to advance the study of neuroscience. IBM will likely add support for more artificial intelligence frameworks to the toolkit over time as adoption of the server widens and customer requirements become more diverse. The first technology on the roadmap will likely be Google’s TensorFlow engine, which is rapidly gaining ground on traditional alternatives such as Caffe.

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