‘There’s a battle looming in 2024’: Qualcomm desires to turn out to be ‘the Nvidia of AI’ in your smartphone and laptop

By Ryan Shrout

All the key gamers are attempting to surf this subsequent wave of AI, together with Intel, Nvidia, AMD and Arm Holdings

On this planet of synthetic intelligence and the computing infrastructure that powers AI, there is just one king: Nvidia (NVDA).

The corporate has skyrocketed to one of many largest on the earth on the again of its success main the transition to an AI computing ecosystem. It has a dominant maintain on the chips that energy the info facilities and servers that allow corporations equivalent to Microsoft (MSFT), Amazon.com (AMZN), and Alphabet (GOOGL) to ship AI companies.

However Nvidia’s place of power is proscribed to servers and information facilities. There’s an rising battle for the AI market on the edges, outlined as a mix of laptops, smartphones, and particular person shopper and business gadgets. It’s on these gadgets the place this AI content material shall be consumed.

This section remains to be in play, with combatants starting from Intel (INTC) to AMD (AMD) to Qualcomm (QCOM), and sure even Nvidia with its gaming and cell graphics chips. Everyone seems to be preventing to manage what most consider is the subsequent development frontier for AI and for chips to energy it. Who will turn out to be the NVIDIA of edge AI?

AI computing on native gadgets will drive the necessity for extra information and bandwidth consumption. Having one of the best wi-fi know-how is important.

Qualcomm is in a singular place of alternative with AI on the edge, because of a mix of its communication background, sturdy funding in new computing architectures, and an initiative to create a software program springboard to rival what Nvidia did with CUDA all these years in the past.

Although Qualcomm and CEO Cristiano Amon constantly consult with the corporate’s transition from a communications to a computing firm, its heritage and management in communications is usually undervalued. AI computing on native gadgets will drive the necessity for extra information and bandwidth consumption. Qualcomm’s lead in modems and wi-fi know-how is a bonus that’s usually missed.

Having one of the best wi-fi know-how is important. Qualcomm lately unveiled its latest mobile modem known as the Snapdragon X80 5G, in addition to a brand new FastConnect 7900 chip that mixes the most recent Wi-Fi, Bluetooth, and wideband applied sciences. These will get built-in into the highest-performance smartphones subsequent 12 months, in addition to high-end laptops.

Qualcomm’s lead in modems and wi-fi know-how is a bonus that’s usually missed.

If Qualcomm desires to do within the shopper and gadget AI house what Nvidia has completed for the info heart, it should take a big effort within the type of software program. Nvidia’s CUDA is a mix of software program improvement instruments, drivers, pre-configured and up to date fashions that make writing software program for its GPUs so simple as attainable. Software program that’s developed utilizing CUDA is extra more likely to be deployed at scale on those self same architectures within the cloud.

One other transfer that Qualcomm lately made is the introduction of its AI Hub, a toolset of its personal for deploying and optimizing AI for its processors. This takes Qualcomm past simply enabling on-stage demos and promotional content material for social media. It is a developer engagement platform that gives a easy technique to combine instruments and directions to verify an important AI fashions run on Snapdragon {hardware} and run in an optimized, maximum-performance state.

The Qualcomm AI Hub at present gives greater than 75 distinctive AI fashions which can be prepared for software program groups to combine and it helps the Snapdragon chips for smartphones, laptops and even vehicles. The corporate hopes that by making integration and assist of its chips as straightforward as attainable, it could entice builders to focus on its {hardware} with rising functions that shall be part of the AI revolution on the edge and create the identical inherent benefit that Nvidia has with CUDA.

The third piece to that is in regards to the {hardware} itself. Within the smartphone market, Snapdragon is the clear chief in market share and efficiency, powering a lot of the highest-end gadgets just like the Samsung Galaxy S24 Extremely. This management place signifies that Android-application builders will want to focus on Qualcomm chips for any AI computing. The corporate has additionally teased that its newest CPU core structure, known as Oryon and stemming from its Nuvia acquisition a number of years again, shall be coming quickly to its smartphone chips as properly, holding Qualcomm within the driver’s seat on this market.

For the upcoming AI PC increase that the majority are projecting to occur within the second half of this 12 months and into 2025, despite the fact that Qualcomm has minimal market share as we speak, the Snapdragon X Elite platform introduced in October 2023 gives greater than 4 occasions the AI efficiency of the at present transport chips from Intel or AMD. The primary laptops that includes this chip will not be accessible till June, however all indications are that Qualcomm has some extremely influential design wins and system companions that can elevate eyebrows and drive some spectacular quantity out there. Intel, AMD and Nvidia will not go down with no battle after all, and Qualcomm has a steep hill to climb within the PC house.

It is clear to me that there’s a battle looming in 2024 for the thoughts share and wallets of shoppers trying to carry AI to their telephones, laptops, and virtually every little thing else on the edge. Each shopper know-how firm is making an attempt to surf this subsequent wave of AI, together with Intel, Nvidia, AMD, Arm Holdings (ARM), Qualcomm and smaller startups like MemryX or Rabbit. With its power within the smartphone market, a rising portfolio of merchandise for PCs, and a brand new software program initiative that can drive developer adoption, Qualcomm has a strong foothold right here.

Ryan Shrout is president of Signal65 and founder at Shrout Analysis. Observe him on X @ryanshrout. Shrout has supplied consulting companies for AMD, Qualcomm, Intel, Arm Holdings, Micron Expertise, Nvidia and others. Shrout holds shares of Intel.

Extra: It is not simply Nvidia: These corporations are lastly making actual cash from AI

Additionally learn: The AI smartphone is right here. 3 issues you want to know.

-Ryan Shrout

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