If you are looking to get your hands on an Nvidia RTX 3080 or 3090 graphics card, you’re probably going to have to wait until 2021. Nvidia CEO Jensen Huang announced today that the company expects shortages for both graphics cards will continue to for the remainder of the year, Tom’s Hardware and Wccftechreports.
During a Q&A with press to cover its GTC announcements, Huang responded to the continuous shortages for both graphics cards. “I believe that demand will outstrip all of our supply through the year,” Huang said.
The RTX 3080 and 3090 had extremely rough launches, with both cards selling out within minutes of preorders going live, but Huang says the issue is not with supply but rather the demand of both GPUs.
Nvidia (NVDA) – Get Report said Monday it was partnering with GlaxoSmithKline (GSK) – Get Report and its artificial intelligence group to use AI for developing new drugs and vaccines, while building a supercomputer to aid researchers in their work on the coronavirus and other challenges.
Shares of Nvidia, the Santa Clara, Calif.-based computer graphics chip company, were up 3.4% to $540.08, while American depositary receipts of GlaxoSmithKline rose 1.5% to $37.79.
Located in London, GSK’s hub will use biomedical data, AI methods and advanced computing platforms to unlock genetic and clinical data, Nvidia said.
The GSK AI hub will be home to its U.K.-based AI team, including GSK AI Fellows, a new professional training program and now scientists from Nvidia.
“GSK and Nvidia together will help push the boundaries of what AI can do and put vast data sources to work to advance the discovery
NVIDIA has announced plans to invest £40 million to build the UK’s fastest supercomputer which will be used for AI research in the healthcare sector.
The Cambridge-1 will be an NVIDIA DGX SuperPOD system capable of delivering more than 400 petaflops of AI performance and 8 petaflops of Linpack performance. This will give the supercomputer a spot among the world’s 30 most powerful supercomputers, according to Nvidia, and it will also be among the three most energy-efficient supercomputers on the current Green500 list.
“Tackling the world’s most pressing challenges in healthcare requires massively powerful computing resources to harness the capabilities of AI,” said NVIDIA founder and CEO
“The age of A.I. has begun,” Nvidia CEO Jensen Huang declared at this year’s GTC. At its GPU Technology Conference this year, Nvidia showcased its innovation to further A.I., noting how the technology could help solve the world’s problems 10 times better and faster.
While Nvidia is most well-known for its graphics cards — and more recently associated with real-time ray tracing — the company is also driving the behind-the-scenes innovation that brings artificial intelligence into our daily lives, from warehouse robots that pack our shipping orders, to self-driving cars and natural language bots that deliver news, search, and information with little latency or delay.
“We love working on extremely hard computing problems that have great impact on the world,” Huang said, noting that the company now has 110 SDKs that target the more than 1 billion CUDA-compatible GPUs that have been shipped. The company says more than 6,500 startups
Nvidia on Monday unveiled its latest batch of technology focused on the areas of graphics, AI, enterprise and edge computing, robotics, and remote collaboration. The company, which is holding its virtual GTC 2020 event this week, introduced the CloudXR on AWS platform, the Omniverse design and collaboration platform, and new Ampere GPUs for visual computing.
The RTX A6000 and the A40 are Nvidia’s latest GPU designs based on Ampere architecture. The RTX A6000 is designed for the new era of visual computing, Nvidia said. The GPU will replace the Turing version of the Quadro, while the A40 — which is a passive cooling version of the same card — is the successor to the RTX 6000 and RTX 8000 GPUs.
Nvidia said the GPUs are targeted at visual compute use cases such as rendering and virtual workstations, with Nvidia AI and machine learning software running on the entire product line.
Hundreds of Vision AI, 5G, CloudRAN, Security and Networking Companies Team with Leading Infrastructure Providers to Use NVIDIA EGX to Deliver Edge AI to Every Industry
NVIDIA EGX Edge AI Platform
The NVIDIA EGX Edge AI platform is widely adopted by world’s leading tech companies, bringing a new wave of secure, GPU-accelerated servers to enterprise and edge data centers.
SANTA CLARA, Calif., Oct. 05, 2020 (GLOBE NEWSWIRE) — GTC–NVIDIA today announced widespread adoption of the NVIDIA EGX™ edge AI platform by the world’s leading tech companies, bringing a new wave of secure, GPU-accelerated software, services and servers to enterprise and edge data centers.
Hundreds of vision AI, 5G, CloudRAN, security and networking companies are teaming with major server manufacturers, including
Nvidia CEO Jensen Huang is delivering the GPU Technology Conference (GTC) keynote address this morning as he spotlights the company’s strategic platforms that span all of computing, from a $59 Jetson Nano robot brain to massive data processing units that are part of its datacenter-on-a-chip strategy.
Nvidia’s big event is expected to draw 30,000 attendees for more than 1,000 online sessions timed to accommodate a worldwide audience. The event is also coinciding with the Arm DevSummit, which starts tomorrow with a keynote chat between Huang and Arm CEO Simon Segars. (Nvidia has recently agreed to buy Arm for $40 billion.) The whole effort is aimed at winning over the hearts and minds of more than 15 million developers worldwide.
Huang said that Nvidia has shipped more than a billion graphics processing units (GPUs) to date, and its CUDA software development kit has had six million downloads in 2020. He said
Nvidia’s GeForce RTX 3090 and RTX 3080 graphics cards have launched to critical praise but frustratingly scarce availability. In an effort to curb further consumer frustration, Nvidia has decided to delay availability of its upcoming RTX 3070 to October 29 from its original launch date of October 15.
For those of you paying attention to the next-gen graphics card war, yes, that is exactly one day after AMD’s scheduled RX 6000 Series announcement on October 28.
The ever-watchful eyes over at VideoCardz noticed the stealthy change on Nvidia’s GTX 3070 landing page.
Nvidia later issued the following statement:
“Production of GeForce RTX 3070 graphics cards are ramping quickly. We’ve heard from many of you that there should be more cards available on launch day. To help make that happen, we are updating the
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Investors head into next week with a few October surprises already in the books. Stimulus drama and further developments with President Trump’s health aside, there are some economic highlights to track in the week ahead, including new PMI prints, weekly jobless claims and the release of Fed minutes. Also of interest is a speech by Federal Reserve Chairman Jerome scheduled for October 6. Powell is expected to push for a stimulus package to boost the economy so the recovery doesn’t continue to stall. On the corporate calendar, earnings from Domino’s
New graphics cards bring opportunity. For better gaming, faster performance and expensive hardware sales. But they also bring challenges, with driver issues, design challenges and often supply shortages.
As delivered by GeForce RTX 3080-based graphics cards, the latest version of the company’s GPU architecture achieves playable frame rates in games which use fancy RTX-specific features like ray-tracing and global illumination. Its AI-based upscaling feature, DLSS, lets you finally play in 4K at (frequently) better-than bare-minimum frame rates without visible degradation in quality. The GPU also lifts performance over predecessors in games that don’t take advantage of the whizzy features by about 20%-40% on average, which is really most games.
But the 30-series of GPUs Nvidia launched at the beginning of September, powered by the new Ampere architecture, has already run into problems. There’ve been reports of instability with some third-party 3080-based cards because of capacitor design, as well