Nvidia Air is a cloud-based platform to build, simulate and work the bugs out of a state-of-the-art data center powered by a modern network using digital twins. Geared toward medium to enterprise scale environments, the platform is the company’s latest Infrastructure-as-Code (IaC) product, letting users create a virtual double of a data center’s physical and logical layout and employ continuous integration and deployment testing and validation techniques before moving to a production environment. The idea is to go live with the same set of simulation, visualization and AI tools. Continue reading Nvidia Air Helps Users Create Virtual Doubles of Data Centers

Nvidia is fast-tracking its cybersecurity efforts, emphasizing zero trust through new product integrations designed to protect enterprise customers from attack while supporting artificial intelligence, machine learning and server workloads that scale. Earlier this month Nvidia promoted its full-stack data center security solution: DOCA 1.2 accelerated software, running on BlueField-3 DPUs using the Morpheus AI framework — a configuration that can “secure a data center at every touchpoint,” including users, devices and the data itself, Nvidia founder and CEO Jensen Huang explained at Nvidia’s GTC 2021 event earlier this month. Continue reading Nvidia Introduces a Full-Stack Solution for Zero Trust Security

In his keynote address at the GPU Technology Conference (GTC), Nvidia CEO Jensen Huang stated that the company shipped more than one billion GPUs and its CUDA software development kit had six million downloads thus far in 2020. He revealed 80 new SDKs and 1,800 GPU-accelerated applications are available. The company also unveiled its BlueField-2, a powerful data center services accelerator. GTC was expected to draw 30,000 global attendees this week for more than 1,000 sessions and coincides with the Arm DevSummit, which features a chat between Huang and Arm chief executive Simon Segars. Continue reading BlueField-2: Nvidia Debuts Data Center Services Accelerator

Nvidia agreed to pay $40 billion — $21.5 billion in stock, $12 billion in cash — for SoftBank’s Arm division, a chip designer based in the United Kingdom. Nvidia will pay $2 billion on signing, and SoftBank will also receive $5 billion in cash or stock should Arm’s performance meet specific standards. Arm employees will receive $1.5 billion in Nvidia stock. This will be the biggest semiconductor industry deal since SoftBank paid $31.4+ billion to purchase Arm in 2016. The deal will also increase competition between Nvidia and Intel. Continue reading Nvidia Acquisition of SoftBank’s Arm Brings Rewards, Risks

Data center and colocation provider Equinix is inviting companies to test-drive the NVIDIA DGX A100 system at its International Business Exchange (IBX) data center in Los Angeles (the company currently has more than 200 IBX centers in 52 markets). This site is currently the only place in the world where companies can take advantage of the DGX A100 to test drive their AI equipment. According to the Equinix testbed landing page, “The test drive solution brings together industry-leading AI hardware from NVIDIA and NetApp alongside best-in-class software technology from Core Scientific, all directly connected on Platform Equinix.” Continue reading Equinix Invites Companies to Test-Drive AI System at LA IBX

Dell EMC and Intel introduced Frontera, an academic supercomputer that replaces Stampede2 at the University of Texas at Austin’s Texas Advanced Computing Center (TACC). The companies announced plans to build the computer in August 2018 and were funded by a $60 million National Science Foundation grant. According to Intel, Frontera’s peak performance can reach 38.7 quadrillion floating point operations per second (petaflops), making it one of the fastest such computers for modeling, simulation, big data and machine learning. Continue reading Academic Supercomputer Is Unveiled by Intel and Dell EMC

Nvidia’s new EGX Platform will bring AI computing to the edge, meaning it will take place at the sensors, before being sent to cloud-based data centers. The platform is intended to handle the immense growth in sensors embedded in Internet of Things devices and wearables, which has resulted in a massive amount of raw data. According to Nvidia senior director of enterprise and edge computing Justin Boitano, “we will soon hit a crossover point where there is more computing power at the edge than in data centers.” Continue reading Nvidia EGX Brings AI Computing to the Edge, Enabling IoT