CommScope | October 13, 2020
CommScope announced that it will demonstrate its vision for 10G and virtualized networks as well as the in-home experiences that will follow—at this year’s SCTE Cable-Tec Expo. CommScope’s demonstrations will center around key advancements in operator solutions for the access network and the connected home. In the industry’s drive to 10G and virtualization, CommScope is leading the way with its Virtual Headend Portfolio, offering a complete range of solutions for virtualizing the four primary planes of modern operator networks: data, video, control, and management. In addition, CommScope’s Fixed Wireless Access (FWA) demonstrations will show the technology’s ability to unlock the potential of 5G to compete with fixed-line services in urban and sub-urban areas.
Lynx Software Technologies | April 22, 2021
Lynx Software Technologies (Lynx), a spearheading pioneer in Mission Critical Edge Computing, today declared that its MOSA.ic for Industrial items is accessible in the Microsoft Azure Marketplace.
LYNX MOSA.ic for Industrial sends Azure administrations tense processing workers/entryways to safely oversee continuous gear in modern settings, for example, producing plant floors, coordination stockrooms, and brilliant urban areas across the U.S.
Lynx perceived that numerous mechanical organizations need to expand distributed computing innovation as near endpoints as conceivable to profit by experiences from information being gathered in operational innovation (OT) organizations, less expensive process, admittance to applications, and then some. However, blending IT and OT networks in requesting mechanical conditions – where robots frequently work intently close by people – has recently brought difficulties of ensuring constant (under 1 millisecond) execution and fulfilling security needs.
The LYNX MOSA.ic for the Industrial stage empowers an assorted arrangement of investigation, man-made reasoning, and update abilities to be stretched out into these strategic, deterministic conditions by giving consistent availability to the wired and remote organizations that are utilized in mechanical conditions, conveying ongoing reactions to occasions and guaranteeing those basic applications run dependably and securely regardless of whatever other applications that could be working on the worker/passage equipment.
End client benefits include:
• A capacity to move certain capacities from equipment executions to programming, expanding plant the executives and backing of new usefulness
• Sensational equipment cost, force, and impression reserve funds through a union of usefulness onto single figure stages
• Expanded resistance to cyberattack from the decrease of the assault surface and interesting confinement design
• This most recent coordinated effort expands upon Lynx's developing innovation accomplice biological system to speed up the acknowledgment of Mission Critical Edge for modern applications. Other ongoing news incorporates an organization with Eurotech.
About Lynx Software Technologies
Lynx Software Technologies is a chief Mission Critical Edge organization that empowers protected, secure, and superior conditions for worldwide clients in the aviation and car, undertaking, and modern business sectors. Since 1988, organizations have confided in Lynx's constant working framework, virtualization, and framework certificate insight, which extraordinarily empowers blended criticality frameworks to be tackled and convey deterministic continuous execution and astute dynamic. Along with a developing arrangement of innovation accomplices, Lynx is understanding another class of Mission Critical Edge frameworks that keep individuals and important information secured, at each second.
NVIDIA | August 27, 2021
NVIDIA, announced the availability of NVIDIA AI Enterprise, a comprehensive software suite of AI tools and frameworks that enables the hundreds of thousands of companies running VMware vSphere to virtualize AI workloads on NVIDIA-Certified Systems.
Leading manufacturers Atos, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Inspur, Lenovo and Supermicro are offering NVIDIA-Certified Systems optimized for AI workloads on VMware vSphere with NVIDIA AI Enterprise. Separately, Dell Technologies today announced Dell EMC VxRail as the first hyperconverged platform to be qualified as an NVIDIA-Certified System for NVIDIA AI Enterprise.
To help teams of data scientists run their AI workloads most efficiently, Domino Data Lab today announced it is validating its Domino Enterprise MLOps Platform with NVIDIA AI Enterprise, which runs on mainstream NVIDIA-Certified Systems.
“The first wave of AI has been powered by specialized infrastructure that focused adoption on industry pioneers,” said Manuvir Das, head of Enterprise Computing at NVIDIA. “Today is the beginning of a new chapter in the age of AI, as NVIDIA software brings its transformative power within reach for enterprises around the world that run their workloads on VMware with mainstream data center servers.”
“As AI applications become critical, customers want to run them on their enterprise infrastructure for manageability, scalability, security and governance,” said Krish Prasad, senior vice president and general manager of the Cloud Platform Business Unit at VMware. “Running NVIDIA AI Enterprise on VMware vSphere delivers a certified, end-to-end AI-Ready enterprise platform that’s easy to deploy and operate.”
“Partnering closely with NVIDIA, we’re deepening our product integrations by enabling the Domino Enterprise MLOps Platform to run with a broader range of NVIDIA GPUs and validating it for NVIDIA AI Enterprise,” said Nick Elprin, CEO and co-founder of Domino Data Lab. “This new offering will help hundreds of thousands of enterprises accelerate data science at scale.”
Customers Simplify, Scale with NVIDIA AI Enterprise
Dozens of automotive, education, finance, healthcare, manufacturing and technology companies worldwide are among the early adopters using NVIDIA AI Enterprise. Many are midsize companies that can now develop a broad range of applications using the world’s most widely used servers to deploy and scale data science, conversational AI, computer vision, recommender systems and more.
Among the earliest to use NVIDIA AI Enterprise is Cerence Inc., a leading provider of conversational AI for automotive and mobility markets with nearly 400 million Cerence-powered vehicles shipped worldwide. The company is using AI Enterprise to develop intelligent in-car assistants and digital co-pilots.
Additionally, University of Pisa, an Italian public research university, is supporting HPC and AI training across multiple disciplines to advance scientific studies with the NVIDIA software.
“NVIDIA AI Enterprise allowed us to expand our support for our researchers and students who utilize data analytics and AI deep learning and machine learning, while making these applications easier to deploy and manage,” said Maurizio Davini, chief technology officer at the University of Pisa. “Our testing has shown that these latest collaborations between NVIDIA and VMware deliver the full potential of our GPU-accelerated virtualized infrastructure at near bare-metal speeds.”
Powerful AI Performance on Mainstream Servers
NVIDIA AI Enterprise enables IT professionals that use VMware vSphere to run traditional enterprise applications to easily and cost-effectively support AI workloads while using the same tools they use to manage large-scale data centers and hybrid clouds.
NVIDIA-Certified Systems from Atos, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Inspur, Lenovo and Supermicro for NVIDIA AI Enterprise feature a wide range of NVIDIA GPUs, including the A100, A30, A40, A10 and T4. These mainstream accelerated systems provide customers with a broad selection of options for scale-out, multinode, AI application performance on vSphere that is virtually indistinguishable from bare-metal servers.
NVIDIA AI Enterprise is now available from NVIDIA channel partners worldwide, including Atea, Carahsoft, Computacenter, Insight Enterprises, NTT, SoftServe and SVA System Vertrieb Alexander GmbH.
Subscription licenses start at $2,000 per CPU socket for one year and include Business Standard Support (five days a week, nine hours a day). Perpetual licenses are $3,595 and require additional support purchase. Customers can upgrade to Business Critical Support for 24×7 access to NVIDIA AI expertise.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market and has redefined modern computer graphics, high performance computing and artificial intelligence