NVIDIA with Microsoft Announces Technology Collaboration for Era of Intelligent Edge
October 21 2019 - 7:11PM
Mobile World Congress—NVIDIA with Microsoft Corp.
today announced a technology collaboration focused on intelligent
edge computing, designed to help industries better manage and gain
insights from the growing flood of data created by retail stores,
warehouses, manufacturing facilities, connected buildings, urban
infrastructure and other environments.
By enabling closer integration between Microsoft Azure and the
NVIDIA EGX platform, the companies are working together to advance
edge-to-cloud AI computing capabilities, benefiting businesses
worldwide.
The NVIDIA Metropolis video analytics application framework,
which runs on EGX, has been optimized to work with Microsoft’s
Azure IoT Edge, Azure Machine Learning solutions and a new form
factor of the Azure Data Box Edge appliance powered by NVIDIA T4
GPUs. Additionally, NVIDIA-certified off-the-shelf servers —
optimized to run Azure IoT Edge and ML services — are now available
from more than a dozen leading OEMs, including Dell, Hewlett
Packard Enterprise and Lenovo.
“The age of intelligent edge computing has arrived. The world’s
largest industries want to have AI computing at the edge, to
extract insight from continuous streams of data, and to sense,
reason and act at the point of action,” said Jensen Huang, founder
and CEO of NVIDIA. “In time, this will be the largest-scale
computing ever created, connecting trillions of smart sensors.
NVIDIA’s and Microsoft’s platforms dovetail to offer customers an
end-to-end solution from edge to cloud.”
“In a world where computing is becoming embedded in every place
and every thing, organizations require a distributed computing
fabric that spans the cloud and edge,” said Satya Nadella, CEO of
Microsoft. “Together with NVIDIA, we’re bringing the power of Azure
and Azure AI to the edge, enabling breakthrough experiences for our
customers.”
NVIDIA EGX is a scalable platform that brings AI computing
capabilities to the edge, starting with a tiny Jetson Nano™ and
scaling to a rack of T4 servers. It is supported by a complete
software stack with CUDA-X™ libraries, containers, Kubernetes, and
cloud solutions such as Azure IoT.
The NVIDIA Metropolis framework includes the NVIDIA DeepStream
software developer kit, which has been adopted by 100+ intelligent
video analytics software providers. Among these are AnyVision,
DeepVision, IronYun, Malong and RealNetworks, which are providing
solutions for retail, manufacturing and smart cities.
Microsoft Azure Machine Learning solutions allow businesses to
rapidly build AI models at scale, from the cloud to the edge. The
Microsoft Azure IoT platform enables applications to run from any
NVIDIA-certified server or appliance, and on OEM devices that
provide connectivity, scalability and maintainability from the
cloud. Azure Data Box Edge is an AI-enabled edge computing
appliance that processes and analyzes data at the edge and
transfers data to cloud when connected.
About NVIDIA NVIDIA‘s (NASDAQ: NVDA) invention
of the GPU in 1999 sparked the growth of the PC gaming market,
redefined modern computer graphics and revolutionized parallel
computing. More recently, GPU deep learning ignited modern AI — the
next era of computing — with the GPU acting as the brain of
computers, robots and self-driving cars that can perceive and
understand the world. More information at
http://nvidianews.nvidia.com/.
For further information, contact:Kristin
UchiyamaSenior PR Manager, Enterprise and Edge Computing NVIDIA
Corporation
+1-408-313-0448 kuchiyama@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: Microsoft’s intelligent edge
solutions being extended with NVIDIA T4 GPUs and it helping to
accelerate AI across industries; the benefits and impact of NVIDIA
and Microsoft’s collaboration and it being designed to manage large
amounts of data; Microsoft Azure and NVIDIA EGX platform enabling
closer integration of the companies, advancing AI computing
capabilities and benefiting businesses worldwide; the availability
of NVIDIA servers from OEMs; the world’s largest industries wanting
AI computing at the edge and it being the largest-scale computing
ever created connecting trillions of smart sensors; NVIDIA’s and
Microsoft’s platforms dovetailing to offer customers an end-to-end
solution from edge to cloud; organizations requiring a distributed
computing fabric that spans the cloud and edge; NVIDIA and
Microsoft bringing the power of Azure and Azure AI to the edge,
enabling breakthrough experiences for customers; the benefits,
performance and abilities of NVIDIA EGX, NVIDIA Metropolis and
Azure Data Box Edge; the number of developers that have adopted the
NVIDIA DeepStream software developer kit; Microsoft Azure Machine
Learning solutions allowing businesses to rapidly build AI models
at scale; and Microsoft Azure IoT enabling applications to run from
any NVIDIA- certified server or appliance and on OEM devices are
forward-looking statements that are subject to risks and
uncertainties that could cause results to be materially different
than expectations. Important factors that could cause actual
results to differ materially include: global economic conditions;
our reliance on third parties to manufacture, assemble, package and
test our products; the impact of technological development and
competition; development of new products and technologies or
enhancements to our existing product and technologies; market
acceptance of our products or our partners’ products; design,
manufacturing or software defects; changes in consumer preferences
or demands; changes in industry standards and interfaces;
unexpected loss of performance of our products or technologies when
integrated into systems; as well as other factors detailed from
time to time in the most recent reports NVIDIA files with the
Securities and Exchange Commission, or SEC, including, but not
limited to, its annual report on Form 10-K and quarterly reports on
Form 10-Q. Copies of reports filed with the SEC are posted on the
company’s website and are available from NVIDIA without charge.
These forward-looking statements are not guarantees of future
performance and speak only as of the date hereof, and, except as
required by law, NVIDIA disclaims any obligation to update these
forward-looking statements to reflect future events or
circumstances.
© 2019 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, CUDA-X and Jetson Nano are trademarks and/or
registered trademarks of NVIDIA Corporation in the U.S. and other
countries. Other company and product names may be trademarks of the
respective companies with which they are associated. Features,
pricing, availability and specifications are subject to change
without notice.
NVIDIA (NASDAQ:NVDA)
Historical Stock Chart
From Aug 2024 to Sep 2024
NVIDIA (NASDAQ:NVDA)
Historical Stock Chart
From Sep 2023 to Sep 2024