Page 3 - Meta Training News Today

We are sharing details of our next generation chip in our Meta Training and Inference Accelerator (MTIA) family. MTIA is a long-term bet to provide the most efficient architecture for Meta’s unique workloads.

The chip is the latest version of the Meta Training and Inference Accelerator, or MTIA

But the Facebook parent company's chip isn't powering AI models just yet

SAN FRANCISCO (Reuters) - Meta Platforms unveiled details on Wednesday about the next generation of the company's in-house artificial intelligence accelerator chip.

(Bloomberg) -- Meta Platforms Inc. is deploying a new homegrown chip to help power its artificial intelligence services, aiming to decrease its reliance on semiconductors from Nvidia Corp. and other outside companies. Most Read from BloombergUS Sees Imminent Missile Strike on Israel by Iran, ProxiesVietnam Tycoon Lan Sentenced to Death Over $12 Billion FraudUS Slams Strikes on Russia Oil Refineries as Risk to Oil MarketsRussia Destroys Largest Power Plant in Ukraine’s Kyiv RegionChinese C...

By Max A. Cherney SAN FRANCISCO (Reuters) - Meta Platforms unveiled details on Wednesday about the next generation of the company's in-house artificial intelligence accelerator chip. WHY IT IS IMPORTANT Reuters reported earlier this year that Meta ...

Meta details five-nanometer MTIA chip for accelerating AI inference workloads - SiliconANGLE

Nvidia mentioned a host of portfolio tech giants in its post-earnings conference call Wednesday evening.

Facebook owner Meta Platforms plans to deploy into its data centres this year a new version of a custom chip aimed at supporting its artificial intelligence push, according to an internal company document.

Meta: The worlds biggest social media company has been scrambling to boost its computing capacity for the power-hungry generative AI products it is pushing into apps Facebook, Instagram and WhatsApp and hardware devices like its Ray-Ban smartglasses, spending billions of dollars to amass arsenals of specialized chips and reconfigure data centers to accommodate them.