After months in early release, Nvidia today announced the general availability of Nvidia AI Enterprise, a new software offering that's designed to bring AI capabilities to the masses via VMware's vSphere. The announcement also includes precertification of AI Enterprise running on a handful of industry-standard X64 servers (equipped with GPUs, of course), as well as a partnership with Domino Data Labs for MLOps. "AI is real and it has real value," said Manuvir Das, Nvidia's head of enterprise computing. Das knows it's real because Nvidia has helped thousands of customers deploy AI into their operations. However, AI has also proven to be difficult to implement, he said. "And the reason is because, on the one hand, it's an end-to-end problem, from the acquisition of data to the training to produce models and then deploy the models to production," Das said.

Cancer is responsible for one in six deaths around the world, and each year there are more than 14 million new cancer cases worldwide, according to the World Health Organization. As healthcare providers seek to enable data-driven, evidence-based cancer care, an explosion of medical information has created both challenges and opportunities to help improve quality of care. Some 50,000 oncology research papers are published each year, according to PubMed, and by 2020 medical information is projected to double every 73 days – outpacing the ability of human beings to keep up with the proliferation of medical knowledge. In this environment, Swedish oncology IT vendor Elekta is collaborating with artificial intelligence kingpin IBM Watson Health to offer Watson for Oncology as part of Elekta's cancer care systems. Elekta will market Watson for Oncology as an AI-based clinical decision support system paired within Elekta's digital cancer care systems, including its MOSAIQ Oncology Information System.