It also means that software is a huge part of GTC presentations these days)ġ1:18AM EDT - Jensen is highlighting NVIDIA's partnership with AT&T, which is using NV tech for everything from 5G planning to Riva for voice synthesisġ1:18AM EDT - Now talking about NVIDIA's inference platform, recapping TensorRT, Triton, and TMSġ1:19AM EDT - New features include multi-GPU, multi-node inference for GPT large language modelsġ1:20AM EDT - Now on to GPU video processing. So new software is a huge part of their total body of work. The company has all but promissed investors that a cloud service play of some kind will be announced at this GTC.ġ0:59AM EDT - At this point we're just waiting for the keynote stream to kick off, which should be promptly at 8amġ1:00AM EDT - NVIDIA's GTC conference is, bucking the trends, remaining a virtual conference this yearġ1:01AM EDT - Jensen is immediate diving into the subjects of accelerated computing and AIġ1:02AM EDT - New advances in NVIDIA's full stack of servicesġ1:02AM EDT - Welcoming more than 250K people to this year's virtual conferenceġ1:02AM EDT - 4 years ago the last in-person conference had 8K attendeesġ1:04AM EDT - And quickly covering a list of subjects covered in this year's talksġ1:05AM EDT - "The purpose of GTC is to inspire the world on the art of what's possible with accelerated computing"ġ1:05AM EDT - Now rolling NVIDIA's latest "I am AI" videoġ1:08AM EDT - And, of course, NVIDIA has used AI to put together parts of this video (as they have done for a couple of years now)ġ1:08AM EDT - "Accelerated computing is not easy"ġ1:09AM EDT - Accelerated applications can enjoy speed ups and scale ups across many systemsġ1:09AM EDT - Giving a 1 million-fold increase in performance over the last decade in certain tasksġ1:10AM EDT - Using then-and-now comparison of AlexNet and GPT-3 as a comparison of the number of FP operations required to train the respective neural netsġ1:10AM EDT - And of course, GPT is all the rage nowġ1:11AM EDT - "Several thousand applications aare now NVIDIA accelerated"ġ1:11AM EDT - And NVIDIA has established a cycle of users, applications, and developers to make an active ecosystemġ1:12AM EDT - A big part of laying this groundwork has been NVIDIA providing so many libraries for different tasksġ1:12AM EDT - Jensen is going through some of those libraries nowġ1:13AM EDT - NVIDIA is continuing their work with quantum computing and their cuQuantum libraryġ1:13AM EDT - Which is being used to help simulate quantum computersġ1:14AM EDT - Today NVIDIA is announcing a quantum control link which allows connecting NV GPUs to quantum computers for error correction (of the quantum computer)ġ1:15AM EDT - Now on to Spark RAPIDS and vector databasesġ1:15AM EDT - Introducing a new library: RAFTġ1:16AM EDT - For further accelerating vector databasesġ1:17AM EDT - (As a general reminder, NVIDIA has more software engineers than it does hardware engineers. Now it will be interesting to see how NVIDIA intends to further grow (and profit from) those businesses. As well as its combined CPU+GPU counterpart, Grace Hopper, which places the Grace CPU and Hopper GPU on the same package.ġ0:58AM EDT - Meanwhile, we're expecting NVIDIA to take a small victory lap at this year's GTC for having the uncanny timing in launching Hopper and its large language model-friendly Transformer Engines right as the market for GPT and other LLMs has exploded. Meanwhile, NVIDIA expects to release their long-awaited Grace CPU this year, and while many of the technical details of that Armv9-based core have since been released, we should hopefully get some launch details for that. But there are plenty of spots for individual products that remain to be filled. Along with a slew of product announcements, the presentation, delivered by CEO Jensen Huang always contains a few surprisesġ0:58AM EDT - Looking at NVIDIA's sizable product stack, NVIDIA is coming off of the launch of their new Hopper and Ada Lovelace GPU architectures for servers and clients respectively. 10:57AM EDT - Welcome to our live blog coverage of NVIDIA’s Spring GTC 2023 keynote addressġ0:58AM EDT - The traditional kick-off to the show – be it physical or virtual – NVIDIA’s annual spring keynote is showcase for NVIDIA’s vision for the next 12 to 24 months across all of their segments, from graphics to AI to automotive.
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