Accelerated computing efficient solution for AI here: Nvidia
Nvidia’s strategy for India is built on a multi-pronged approach predicated to “accelerated computing is the future of technology,” especially for India given the energy constraints. This approach offers an efficient solution to meet the country’s growing AI needs—sustainably, said the company’s business head (cloud and consumer internet) for the South Asian market, Hasan Aijaz.
“The chip is no longer the unit; it’s the data centre. You don’t have to think about chips or systems separately. You need to think about how chips and systems work together, along with the network and the software and create a full stack,” he said at the Bengaluru Tech Summit on Thursday speaking on a discussion about AI for chips.
Meanwhile, US-based Qualcomm said it is focused on edge AI and making on-device AI more accessible and efficient for its end consumers. Senior VP at the firm, Srini Maddali, said «AI on the edge is not an option; it is a necessity. You will not be able to scale, nor will you get the technology leverage across the world without having AI on the device.»
He highlighted that Qualcomm has already integrated on-device AI into various products such as laptops, smartphones, IoT devices, and smart assistants, and cited the Snapdragon innovations—a comprehensive system-on-a-chip (SoC).
The two companies spoke extensively about the Indian ecosystem and how the country needs to focus on bridging the digital divide by making AI accessible to everyone, highlighting the need for infrastructure, and investments in skill
