Cisco taps Nvidia for its new AI and ML servers


Cisco has announced its latest UCS servers which will use Nvidia GPUs to accelerate artificial intelligence (AI) and machine learning (ML) workloads.

Cisco is just the latest network hardware vendor to offer specific hardware for AI and ML-based workloads, following Dell, HPE, and IBM, all of which have already announced servers optimized for AI and ML workloads.

According to details provided by the company, the new Cisco UCS server will speed up deep learning, a compute-intensive form of machine learning that uses neural networks and large data sets to train computers for complex tasks. We speak of the same technological advancement that some of the best gaming computers exhibit. See here and you’ll get a profound understanding of where all the technology is proving to be a success. The USC C480 ML M5 rack server will feature Nvidia Tesla V100 GPU with specific Tensor Cores and NVLink to provide best possible AI and ML performance.

The market for AI and machine learning is growing and while it is still at its beginning, with only 4 percent of CIOs implementing AI projects, according to a Gartner research, 46 percent of CIOs plan to implement them in near future.

Cisco was keen to note that its new UCS servers target data scientists and developers, in combination with DevNet AI Developer Center and DevNet Ecosystem Exchange; IT, with support for Cisco Intersigth; and is also built with an ecosystem, where Cisco is embracing containers and multi-cloud computing models, validating machine learning environments and software such as Anaconda, Kubeflow, and solutions from Cloudera and Hortonworks on the new server.

“Over the next few years, apps powered by artificial intelligence and machine learning will become mainstream in the enterprise. While this will solve many complex business issues, it will also create new challenges for IT,” said Roland Acra, SVP and GM for Cisco’s Data Center Business Group. “Today’s powerful addition to the Cisco UCS lineup will power AI initiatives across a wide range of industries. Our early-access customers in the financial sector are exploring ways to improve fraud detection and enhance algorithmic trading. Meanwhile in healthcare, they’re interested in better insights and diagnostics, improving medical image classification, and speeding drug discovery and research.”

According to Cisco, the new Cisco UCS C480 ML M5 Rack Server should be available from its partners in Q4 2018, along with a range of AI and ML support capabilities from Cisco Services which include analytics, deep-learning, and automation.


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Slobodan Simic is foremost an IT enthusiast who discovered his knack for writing, which lead to becoming both an IT journalist and later an Editor for a number of publications. He has been covering anything from the consumer- and professional-oriented hardware to software markets and networks. With a focus on chasing down leads, making sure that fresh content is ready for publishing, as well as keeping up with the evergrowing and evolving IT world, writing has become more of his passion rather than just a job.