BlueField-2: Nvidia Debuts Data Center Services Accelerator

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 Intros Open Beta of Its Omniverse Virtual Environment

In his keynote address at Nvidia’s GPU Technology Conference, chief executive Jensen Huang demonstrated Omniverse, a virtual environment described as a “metaverse” for engineers, announcing an open beta. With Omniverse — which was inspired by the sci-fi concept of the metaverse — engineers can collaborate on and simulate designs in a photoreal 3D virtual environment. Nvidia has been providing early access to Omniverse for 18 months; it will be available for download this fall. Continue reading Nvidia Intros Open Beta of Its Omniverse Virtual Environment

With Arm Purchase, Nvidia May Dominate AI Edge Computing

Moore’s Law — Intel co-founder Gordon Moore’s prediction that the number of transistors on a chip doubles about every two years — has been the foundation of the semiconductor industry. But, as the industry nears the limits of circuitry and physics of electronics, it’s being replaced by another one: that silicon chips powering AI more than double in power every two years, due to hardware and software. As Moore’s Law was the foundation for improvements in computers, this new law will power the Internet of Things. With its $40 billion acquisition of Arm Holdings, Nvidia could be positioned for a new type of evolution.  Continue reading With Arm Purchase, Nvidia May Dominate AI Edge Computing

Nvidia Acquisition of SoftBank’s Arm Brings Rewards, Risks

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

Apple Reveals a Number of Changes to Its App Store Rules

In response to complaints from developers, Apple tweaked rules surrounding in-app purchases for iPhone and iPad games that stream directly from the Internet. The company is not changing the 15 to 30 percent fees for app downloads, in-app purchases and subscriptions — a major bone of contention for many developers — but is applying the fees to fewer situations. This change and several others, however, does not impact the existing legal battle between Apple and Epic Games, and Epic chief executive Tim Sweeney criticized Apple’s latest move. Continue reading Apple Reveals a Number of Changes to Its App Store Rules

Nvidia Purchase of Arm Signals Inflection Point in Computing

If Nvidia acquires Arm Ltd. in the next few weeks, which many experts predict will happen, the company may be in the position to dominate the next computing ecosystem. Jefferies semiconductor analyst Mark Lipacis notes that, the computer industry goes through a “strategic inflection point” every 15 years, with research showing that dominant players in each era account for 80 percent of the profits. Different ecosystems are the result of “multi-pronged” strategy by those companies that come out on top. Continue reading Nvidia Purchase of Arm Signals Inflection Point in Computing

Nvidia Debuts GeForce RTX Chip Series With Lower Latency

Nvidia debuted its 28-billion transistor Ampere-based 30 Series graphics chips for PC gamers, ideal for Microsoft and Sony’s next-generation consoles to unveil by the holidays. The 30 Series GeForce RTX chips (available September 17) are comprised of the RTX 3070 ($500), 3080 ($700), and 3090 ($1,500), with second generation RTX (real-time ray tracing graphics). According to chief executive Jensen Huang, there are “hundreds of RTX games” in development, joining “Minecraft,” “Control” and “Wolfenstein: Youngblood,” which already feature RTX. Continue reading Nvidia Debuts GeForce RTX Chip Series With Lower Latency

Equinix Invites Companies to Test-Drive AI System at LA IBX

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

Webinar: Experts Discuss Accelerating AI PaaS for Enterprise

As enterprises infuse their business with the power of AI, many are challenged with how to support experimentation and innovation within an IT platform that is manageable and delivers the right resources and performance from prototype to production. Data scientists want a simple, productive workflow that supports rapid iteration, and IT teams want an enterprise-grade platform that scales cost-effectively. AI Platform-as-a-Service (PaaS) brings these worlds together with the simplicity of cloud and the performance of dedicated infrastructure, now available as a robust, cost-effective and scalable managed service. On August 25 at 8:00 am PST, experts from Equinix, NetApp, NVIDIA and Core Scientific will discuss the benefits of AI PaaS offerings for the enterprise. Registration is available online. Continue reading Webinar: Experts Discuss Accelerating AI PaaS for Enterprise

Quality of Deepfakes and Textfakes Increase Potential Impact

FireEye data scientist Philip Tully showed off a convincing deepfake of Tom Hanks he built with less than $100 and open-source code. Until recently, most deepfakes have been low quality and pretty easy to spot. FireEye demonstrated that now, even those with little AI expertise can use published AI code and a bit of fine-tuning to create much more convincing results. But many experts believe deepfake text is a bigger threat, as the GPT-3 autoregressive language model can produce text that is difficult to distinguish from that written by humans. Continue reading Quality of Deepfakes and Textfakes Increase Potential Impact

SoftBank Is Considering the Sale of ARM Holdings to Nvidia

SoftBank, which spent $32 billion to buy ARM Holdings in 2016, is now actively considering ARM’s sale to Nvidia, according to SoftBank founder and chief executive Masayoshi Son. The company has also invested in Slack, WeWork, and Uber, which have experienced high-profile problems. The U.K.-based ARM Holdings, originally founded by Acorn, Apple and VLSI, designs low-power RISC chips that have become ubiquitous for mobile phones. Last month, SoftBank reportedly hired Goldman Sachs to explore options for a sale or going public.

Continue reading SoftBank Is Considering the Sale of ARM Holdings to Nvidia

Apple Stands Firm in Its App Store Rules for Cloud Gaming

After Apple repeatedly rejected the Facebook Gaming app for iOS devices, it finally approved it for the App Store — with the proviso that Facebook strip out all the playable games. Facebook chief operating officer Sheryl Sandberg slammed the decision, saying that “iOS users [will] have an inferior experience to those using Android.” Apple’s App Store also won’t permit Microsoft’s xCloud gaming service as, in the past, it also gave the cold shoulder to Google’s Stadia. Late last week, Facebook announced a new version of its Gaming app for iPhone and iPad users. Continue reading Apple Stands Firm in Its App Store Rules for Cloud Gaming

Nvidia and University of Florida Partner on AI Supercomputer

The University of Florida (UF) and Nvidia joined forces to enhance the former’s HiPerGator supercomputer with DGX SuperPOD architecture. Set to go online by early 2021, HiPerGator will deliver 700 petaflops (one quadrillion floating-point operations per second), making it the fastest academic AI supercomputer. UF and Nvidia said the HiPerGator will enable the application of AI to a range of studies, including “rising seas, aging populations, data security, personalized medicine, urban transportation and food insecurity.” Continue reading Nvidia and University of Florida Partner on AI Supercomputer

Pricey Infrastructure Necessary for Success in Cloud Gaming

In the past two years, nearly every major gaming and technology company has debuted a cloud gaming service, from Microsoft’s xCloud and Sony’s PlayStation Now to Google’s Stadia, Nvidia’s GeForce Now and Tencent’s Start. Even Amazon and Facebook are reported to be considering launching cloud gaming units. Behind the scenes, many experts said that, as cloud gaming grows in popularity, the result could be a so-called infrastructure arms race. Worldwide, there are approximately 2 billion gamers. Continue reading Pricey Infrastructure Necessary for Success in Cloud Gaming

Nvidia, Mercedes-Benz Build AI-Powered Self-Driving System

Nvidia and Mercedes-Benz collaborated on an AI-enabled in-vehicle computing system, powered by Nvidia’s Drive AGX Orin and set to launch in 2024. The new system will be able to automate driving of regular routes and, via an over-the-air-in-car system, allow drivers to download in-car safety, convenience, entertainment and subscription apps and services. Drive AGX Orin relies on a system-on-chip built of 17 billion transistors that integrates with Nvidia’s graphics chip architecture and Hercules cores. Continue reading Nvidia, Mercedes-Benz Build AI-Powered Self-Driving System

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