{"id":81443,"date":"2024-09-27T11:33:45","date_gmt":"2024-09-27T09:33:45","guid":{"rendered":"https:\/\/visionarymarketing.com\/?p=81443"},"modified":"2024-09-27T11:34:10","modified_gmt":"2024-09-27T09:34:10","slug":"on-device-genai","status":"publish","type":"post","link":"https:\/\/visionarymarketing.com\/en\/2024\/09\/27\/on-device-genai\/","title":{"rendered":"What if your smartphone were the future of GenAI?"},"content":{"rendered":"

At the XYZ Paris that took place at Station F on September 27, 2024, George Tsirtsis from Qualcomm stressed the issue with GenAI, i.e. scalability, and sketched a new course for the future of that technology: on-device GenAI. To the chips manufacturer, the future isn\u2019t the cloud but your good old handheld device (preferably equipped with their chips). \u00a0<\/em><\/p>\n

What if on-device GenAI were the future?<\/h2>\n
\"On-device
On-device GenAI is already here, Tsirtsis said at XYZ Paris on September 27, 2024 and it\u2019s the solution, or at least one of the solutions, for solving the GenAI scalability issue.<\/figcaption><\/figure>\n

<\/p>\n

GenAI has a scalability problem\u00a0<\/span><\/h3>\n

Let me go \u201cstraight to the point,\u201d Tsirtsis said, \u201cGenerative AI has a scaling problem. The problem stems from the simple fact that computation to serve generative AI queries, and to respond to them, is much higher than a traditional web search, about 10 times as much, and that’s a conservative estimate\u201d.
\n<\/span><\/p>\n

\"On-device
Tsirtsis on stage at XYZ Paris 2024<\/figcaption><\/figure>\n

Towering problems<\/span><\/p>\n

It\u2019s even worse than that according to the Senior Director of Technolgy of Qualcomm Europe.\u00a0<\/span><\/p>\n

\u201cWhen you go to ChatGPT or any other AI assistant, the computation and electricity used is much higher than for traditional websites. You have to take that 10x number and multiply it by the deluge of applications and features that are powered by generative AI and multiply that again by the billions of users of that technology.\u201d
\n<\/span><\/p>\n

\"\"
GenAI has a scalability issue<\/figcaption><\/figure>\n

Developers can work differently\u00a0<\/span><\/h3>\n

The good news is, though, that when you understand that there is a problem, it\u2019s easier to work out a few solutions. Qualcomm thinks the answer to that towering problem is\u2026 your device.\u00a0<\/span><\/p>\n

\u201cThe solution to this is to distribute computation to the edge. The future is clearly hybrid,\u201d Tsirtsis went on, \u201cwe’re going to be dealing with very large models in the cloud and the smaller large models at the edge (SLMs).\u201d<\/p>\n

\u201cSLMs aren\u2019t that small,\u201d Tsirtsis told us. \u201cThey are anything up to 10 to 15 billion parameters with tens of thousands of token context windows. A couple of days ago, Meta announced the latest generation of LAMA 3.2, a 1-billion parameter model, 3-billion parameters, and also a multimodal 11-billion parameter model.\u201d\u00a0<\/span><\/p>\n

But all of these SLMs can run on device, and \u201cthey can run very efficiently\u201d.<\/p>\n

The data too, stays on your device<\/h3>\n

There\u2019s more to it than just efficiency. Data privacy is also part of the equation. \u201cThe other big advantage for you as a developer or entrepreneur is that you can make sure that your customer’s sensitive data stays on device\u201d he added.\u00a0<\/span><\/p>\n

A hub to make developers\u2019 lives easier<\/h3>\n

Qualcomm is adamant that their new architecture for GenAI isn\u2019t a pie in the sky. It\u2019s here and it\u2019s working. \u201cOn-device AI is here\u201d the Qualcomm speaker stated.\u00a0<\/span><\/p>\n

\u201cThere are more than 100 models that have already been optimised around our different hardware platforms and you can even bring your own model and optimise it there. Developers can test their applications on any one of the many devices we make available in the device farm that you can access online. They don’t have to buy all the different smartphones that are out there to test their applications.\u201d<\/p>\n

To this end. Qualcomm launched an online platform dedicated to developers at aihub.qualcomm.com<\/a>.
\n<\/span><\/p>\n

\"\"
The Qualcomm Aihub home page<\/figcaption><\/figure>\n

Time will tell if this solves the GenAI scalability conundrum, but at least there is light at the end of the AI tunnel.<\/p>\n","protected":false},"excerpt":{"rendered":"

At the XYZ Paris that took place at Station F on September 27, 2024, George Tsirtsis from Qualcomm stressed the issue with GenAI, i.e. scalability, and sketched a new course for the future of that technology: on-device GenAI. To the chips manufacturer, the future isn\u2019t the cloud but your good old handheld device (preferably equipped …<\/p>\n","protected":false},"author":2,"featured_media":81447,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4076],"tags":[],"class_list":["post-81443","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-big-data"],"yoast_head":"\nOn-device GenAI: solving GenAI\u2019s scalability issue<\/title>\n<meta name=\"description\" content=\"Qualcomm found the issue with GenAI, i.e. scalability, and sketched a new course for the future of that technology: on-device GenAI.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/visionarymarketing.com\/en\/2024\/09\/27\/on-device-genai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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