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NVIDIA CEO Jensen Huang to Ship Keynote at GTC 2024


Few corporations have ever loved the recent streak that NVIDIA goes by. With the booming GenAI market, NVIDIA shares have tripled in 2023, and proceed to rise sharply this yr. The meteoric rise of the “kingpin” of chips is a results of the rising demand for its specialised and expensive graphic processing items (GPUs), generally used for coaching GenAI platforms. 

The way forward for AI goes far past people utilizing GenAI purposes. Firms are actually integrating AI into all points of their companies, making NVIDIA merchandise much more precious. The success of NVIDIA has catapulted the cofounder and CEO of NVIDIA, Jensen Huang, to grow to be probably the most influential individuals on the earth of AI. 

Huang is about to ship a two-hour keynote deal with, at GPU Expertise Convention (GTC) 2024. The conference is about to begin on Monday 18th March on the San Jose SAP Heart. The keynote will probably be live-streamed. Greater than 16,000 individuals are anticipated to attend the occasion in individual, with near 300,000 becoming a member of on-line. It’s no shock that the occasion is happening on the SAP Heart, which is usually used for sporting occasions and concert events. 

On this keynote deal with, Huang is anticipated to discover the AI advances which are shaping our future and description what’s forward for NVIDIA this yr. “Generative AI has moved to heart stage as governments, industries, and organizations all over the place look to harness its transformative capabilities,” Huang stated lately.

Within the earlier GTCs, NVIDIA used the stage to debut a few of its greatest merchandise and improvements together with the NVLink, NVSwitch, Drive package for automotive, and Clara for healthcare. 

We are able to count on Juang to share updates on the corporate’s new AI chip, the B100 Blackwell, which the corporate claims is its most succesful AI GPU but. 

The B100, which is about to be out there later this yr, is an improve from the vastly in style H200 chip. The specs and value of the B100 haven’t been made public but, however we will count on to get new particulars in regards to the chip from Huang, together with the facility necessities. 

There have been some issues within the business in regards to the vital quantity of energy wanted by NVIDIA chips. Might this be the Achilles’ heel of NVIDIA chips? NVIDIA wouldn’t need to depart this challenge unaddressed. 

GPUs have been initially developed for rendering graphics in video video games; they’ve developed into multithreaded, many-core processors. They’ve been known as the “gold of AI”. GPUs are the muse for as we speak’s Gen AI as they’ll make use of parallel processing and GPU methods can scale as much as supercomputing heights. As well as, the GPU software program stack for AI is broad and deep. 

These capabilities enable GPUs to carry out technical calculations quicker and with higher vitality effectivity. This makes them superb for AI coaching and inference. A research by Stanford College confirmed that GPU efficiency has elevated roughly 7,000 occasions since 2003. 

GPUs have grow to be the dominant computing platform for AI/ML, and this has made NVIDIA, the main producer of GPUs, considerably extra precious and one of many greatest winners within the AI business. 

NVIDIA isn’t the one producer of chips, however the firm was fast to comprehend the potential of AI chips. The opponents, corresponding to Intel, didn’t begin investing within the improvement of AI chips quickly sufficient. Credit score additionally must be given to the NVIDIA management, who realized the potential of AI early and took steps accordingly.  

NVIDIA chips proceed to promote out as they’ve superior software program and far of the AI infrastructure is already constructed round NVIDIA chips. Whereas NVIDIA’s dominance is being challenged by massive tech corporations, it could be tough to displace NVIDIA as the highest AI chip producer on the earth. 

Associated Objects 

GTC 2024: NVIDIA’s Jensen Huang to Unveil the Newest in Accelerated Computing, Generative AI and Robotics

ChatGPT Places AI At Inflection Level, Nvidia CEO Huang Says

Nvidia CEO Requires Sovereign AI Infrastructure

 

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