Category: AI

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.
There has been a lot of talk about the importance of the marketing stack in providing personalization and automation that will improve and enhance customer experience. 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?
One of the most important elements of any effective analytics program is its guiding set of principles. Exploring 4 key principals to build a better analytics team.
Available in alpha on Google Compute Engine just over a month after its introduction, A100 has come to the cloud faster than any NVIDIA GPU in history.
NVIDIA announced a series of important updates to its vGPU offering to power collaboration, work from home and IT administrators amidst Covid-19.
Qualcomm Technologies, Inc., (NASDAQ: QCOM) just announced its first-of-a-kind 5G Robotics RB5 platform. The natural successor to the successful (4G-based) Qualcomm® Robotics RB3 platform. As Qualcomm puts it, the Robotics RB5 platform aims to “empower developers and manufacturers to create the next generation of high-compute, low-power robots and drones for the consumer, enterprise, defense, industrial and professional service sectors.”
At its virtual Discover event this week, HPE announced the launch of its kubernetes-based container software, HPE Ezmeral. This announcement shows HPE’s continued dedication to its goal of everything-as-a-service by 2022 and heats up the container wars with competitors like IBM RedHat and VMWare.
Intel announced its 3rd genertion Xeon Scalable processors, which will comprise of 14nm and 10nm parts and have a greater emphasis on AI.

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