Friday, 7 November 2025
32.8 C
Singapore
30.8 C
Thailand
25.2 C
Indonesia
29.4 C
Philippines

Meta tests in-house AI chip to reduce reliance on Nvidia

Meta is testing an in-house AI chip for training models to cut costs and reduce reliance on Nvidia. The chip is currently in a trial phase.

Meta is reportedly testing its own AI chip to train artificial intelligence systems, aiming to reduce its dependence on hardware suppliers like Nvidia. This move could be a game changer for the tech giant, which currently spends billions on third-party processors.

Meta partners with TSMC for AI chip development

According to Reuters, Meta has developed an AI-specific chip with the help of Taiwan Semiconductor Manufacturing Company (TSMC). The company is currently running a small-scale test of the chip, with plans to expand production if the trial proves successful.

Meta has previously created custom AI chips, but only for running models rather than training them. Training AI requires vast computing power, which has historically led the company to rely heavily on Nvidia’s GPUs. However, past attempts to develop AI chips in-house have faced setbacks, with some projects being cancelled or falling short of expectations.

Cost-cutting and independence from Nvidia

Meta is expected to spend around US$65 billion on capital expenditure this year, a large portion of which will go towards Nvidia’s GPUs. By successfully shifting to its own chips, the company could significantly cut costs and gain more control over its AI development.

As AI continues to be a priority for Meta, the success of this chip could mark a major step towards reducing reliance on external suppliers and shaping the future of the company’s AI-driven products.

Hot this week

Future-proofing resilience for business continuity

Multi-cloud and event-driven architecture are redefining resilience by helping enterprises maintain seamless operations through global outages.

Singapore consumers most digitally impatient in APJ, Twilio study finds

Twilio’s study finds Singapore consumers are the most digitally impatient in APJ, demanding faster, human-led customer support.

Google explores orbital data centres for sustainable AI computing

Google explores powering AI from space with Project Suncatcher, aiming to use solar-powered satellites for sustainable data processing.

Curly COMrades use hidden Hyper-V virtual machines to maintain covert access

Bitdefender and Georgian CERT reveal Curly COMrades used hidden Hyper-V VMs and custom implants to hide C2 and tunnel SSH over HTTP.

Apptio introduces next-generation FinOps solutions for the AI era

Apptio launches next-generation FinOps tools to help enterprises manage AI-driven cloud costs with better visibility and financial control.

Evotrex unveils hybrid RV trailer powered by battery and petrol engine

Former Anker employees launch Evotrex, a hybrid RV startup combining battery and petrol power to extend off-grid travel adventures.

Devialet: How Phantom Ultimate reflects the future of compact high-end sound

Devialet’s Phantom Ultimate shows how innovation, software, sustainability, and design are shaping the next era of compact high-end audio.

Ambitionz introduces Cipher, an AI platform built to think like a game developer

Ambitionz launches Cipher, an AI designed to think like a game developer, with early access for Roblox creators worldwide.

Corning and Nokia partner to bring fibre to the edge for enterprise networks

Corning and Nokia partner to deliver fibre-to-the-edge and optical LAN solutions, offering scalable, high-speed, and sustainable enterprise networks.

Related Articles

Popular Categories