At this year’s VMworld event, NVIDIA and VMware announced a strategic partnership to improve how AI chips are managed in the datacenter.
With this week’s launch of the Cloud AI 100, Qualcomm is taking its AI capabilities from the smartphone to the edge to the datacenter.
IBM’s new RoboRXN chemistry lab allows scientists to create new molecules while working remotely using robots, cloud, and AI. The platform accelerates the synthesis process and highlights discovery, which is not only a great boost to the field of chemistry, it’s also an example of innovation and agility we’ll likely see much more of. Most of us think of work as being in an office setting, but the RoboRXN platform reminds us that work can take place in a laboratory, a factory, on a farm, or on a construction site — and technology can play a big role in all those settings.
NVIDIA has continued its stellar momentum which has sent its stock to nearly $500 a share on the back of explosive AI growth.
Informatica’s acquisition of GreenBay Technologies is intended to spur the company’s machine learning and AI capabilities.
NVIDIA maintains its market leadership for MLPerf based upon its most recent benchmarks on its newest A100 Tensor Core GPU.
Here are some insights on how Martech is enabling enterprises to overcome market challenges.
Rumors have emerged of a possible takeover of ARM by NVIDIA. What would this mean for ARM and for Semiconductors in general?
As we turn to AI to do more tasks for us, the need for emotional intelligence has never been greater. How and why companies must strike the right balance between empathy and technology–especially as it relates to the use of AI.
The NVIDIA A100 Tensor Core GPU has landed on Google Cloud. Available in alpha on Google Compute Engine just over a month after its introduction