AMD Launches New AI Chips to Take on Leader Nvidia 

Lisa Su, chairwoman and CEO of Advanced Micro Devices (AMD), delivers the opening keynote speech at Computex 2024, Taiwan's premier tech expo, in Taipei on June 3, 2024. (AFP)
Lisa Su, chairwoman and CEO of Advanced Micro Devices (AMD), delivers the opening keynote speech at Computex 2024, Taiwan's premier tech expo, in Taipei on June 3, 2024. (AFP)
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AMD Launches New AI Chips to Take on Leader Nvidia 

Lisa Su, chairwoman and CEO of Advanced Micro Devices (AMD), delivers the opening keynote speech at Computex 2024, Taiwan's premier tech expo, in Taipei on June 3, 2024. (AFP)
Lisa Su, chairwoman and CEO of Advanced Micro Devices (AMD), delivers the opening keynote speech at Computex 2024, Taiwan's premier tech expo, in Taipei on June 3, 2024. (AFP)

Advanced Micro Devices unveiled its latest artificial intelligence processors on Monday and detailed its plan to develop AI chips over the next two years in a bid to challenge industry leader Nvidia.

At the Computex technology trade show in Taipei, AMD CEO Lisa Su introduced the MI325X accelerator, which is set to be made available in the fourth quarter of 2024.

The race to develop generative artificial intelligence programs has led to towering demand for the advanced chips used in AI data centers able to support these complex applications.

Santa Clara, California-based AMD has been vying to compete against Nvidia, which currently dominates the lucrative market for AI semiconductors and commands about 80% of its share.

Since last year, Nvidia has made it clear to investors that it plans to shorten its release cycle to annually, and now AMD has followed suit.

"AI is clearly our number one priority as a company and we have really harnessed all of the development capability within the company to do that," Su told reporters.

"This annual cadence is something that is there because the market requires newer products and newer capabilities... Every year we have the next big thing such that we always have the most competitive portfolio."

AMD also introduced an upcoming series of chips titled MI350, which is expected to be available in 2025 and will be based on new chip architecture.

Compared to the currently available MI300 series of AI chips, AMD said it expects the MI350 to perform 35 times better in inference - the process of computing generative AI responses. Additionally, AMD revealed the MI400 series, which will arrive in 2026 and will be based on an architecture called "Next".

Investors who have poured billions of dollars into Wall Street's picks-and-shovels trade have been seeking longer-term updates from chip firms, as they evaluate the longevity of the booming genAI rally, which so far has shown no signs of slowing down.

AMD's shares have more than doubled since the start of 2023. This surge still pales in comparison to the more than seven-fold rise in Nvidia's shares in the same time period.

AMD is aiming at an AI chip product cycle of one year. Similarly, Nvidia said it plans to release a new family of AI chips every year.

AMD's Su said in April that the company expects AI chip sales of roughly $4 billion for 2024, an increase of $500 million from its prior estimate.

At the Computex event, AMD also said its latest generation of central processor units (CPUs) will likely be available in the second half of 2024.

While businesses generally prioritize spending on AI chips in data centers, some of AMD's CPUs are used in conjunction with graphics processor units, though the ratio is skewed in favor of GPUs.

AMD detailed architecture for its new neural processing units (NPUs), which are dedicated to handling on-device AI tasks in AI PCs.

Chipmakers have been banking on added AI capabilities to drive growth in the PC market as it emerges from a years-long slump.

PC providers such as HP and Lenovo will release devices which include AMD's AI PC chips. AMD said its processors exceed Microsoft's Copilot+ PC requirements.



Tencent's Quarterly Revenue Rises 13% on Gaming, AI Demand

FILE PHOTO: Tencent's logo is displayed at its booth at the China International Fair for Trade in Services (CIFTIS) in Beijing, China, September 11, 2025. REUTERS/Maxim Shemetov/File Photo
FILE PHOTO: Tencent's logo is displayed at its booth at the China International Fair for Trade in Services (CIFTIS) in Beijing, China, September 11, 2025. REUTERS/Maxim Shemetov/File Photo
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Tencent's Quarterly Revenue Rises 13% on Gaming, AI Demand

FILE PHOTO: Tencent's logo is displayed at its booth at the China International Fair for Trade in Services (CIFTIS) in Beijing, China, September 11, 2025. REUTERS/Maxim Shemetov/File Photo
FILE PHOTO: Tencent's logo is displayed at its booth at the China International Fair for Trade in Services (CIFTIS) in Beijing, China, September 11, 2025. REUTERS/Maxim Shemetov/File Photo

Tencent Holdings reported a 13% increase in fourth-quarter revenue on Wednesday, driven by strong demand for gaming and growth in its artificial intelligence services, cementing its position as China's largest social media and gaming company.

The Shenzhen-based firm posted revenue of 194.4 billion yuan ($28.3 billion) for the three months to December 31, just above the 193.5 billion yuan forecast by analysts polled by LSEG.

Quarterly net profit was 58.26 billion yuan, compared with an average estimate of 57.75 billion yuan.

Tencent has been accelerating AI ⁠investments funded by ⁠its gaming arm as it competes with rivals including Alibaba and ByteDance.

The company is embedding AI across its WeChat messaging and payment app, cloud services and gaming, drawing on an ecosystem of more than one billion users.

Domestic gaming revenue rose 15% to 38.2 billion yuan, while international gaming revenue surged ⁠32% to 21.1 billion yuan. Online advertising revenue climbed 17% to 41.1 billion yuan, boosted by AI-enhanced ad targeting.

Gaming growth was driven by newer titles including "Delta Force" and "Valorant Mobile", alongside established hits "Honor of Kings" and "Peacekeeper Elite".

Revenue in its FinTech and Business Services segment, which includes cloud computing, rose 8% to 60.8 billion yuan. Tencent does not break out cloud revenue separately.

To compete with rivals such as Alibaba Group and ByteDance, Tencent ramped up AI talent acquisition, including hiring ⁠former OpenAI ⁠researcher Yao Shunyu to lead the development of its proprietary Hunyuan large language model.

It spent 1 billion yuan promoting its Yuanbao AI chatbot during the Lunar New Year holiday period to gain market share in China's increasingly crowded AI sector, Reuters reported.

This month, it launched its "OpenClaw" AI product suite, comprising QClaw for individual users, Lighthouse for developers and WorkBuddy for enterprises, as competition intensifies around AI agents - software that can perform multi-step tasks autonomously.

Capital expenditure for 2025 totaled 79.2 billion yuan, compared to 76.8 billion yuan in 2024.


Samsung Elec and AMD Sign MoU on AI Memory, Explore Foundry Partnership

FILE PHOTO: The logo of Samsung Electronics is seen at the company's store in Seoul, South Korea, April 15, 2025. REUTERS/Kim Hong-Ji/File Photo
FILE PHOTO: The logo of Samsung Electronics is seen at the company's store in Seoul, South Korea, April 15, 2025. REUTERS/Kim Hong-Ji/File Photo
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Samsung Elec and AMD Sign MoU on AI Memory, Explore Foundry Partnership

FILE PHOTO: The logo of Samsung Electronics is seen at the company's store in Seoul, South Korea, April 15, 2025. REUTERS/Kim Hong-Ji/File Photo
FILE PHOTO: The logo of Samsung Electronics is seen at the company's store in Seoul, South Korea, April 15, 2025. REUTERS/Kim Hong-Ji/File Photo

Samsung Electronics and Advanced Micro Devices (AMD) signed a memorandum of understanding to expand their strategic partnership on memory chip supplies for artificial intelligence infrastructure, the companies said on Wednesday.

The agreement will focus on supplying Samsung's next-generation high-bandwidth memory (HBM4) for AMD's upcoming Instinct MI455X AI accelerators, as well as optimized DDR5 memory for AMD's sixth-generation EPYC processors, they said in a statement.

The companies will also discuss opportunities for a foundry partnership, under which Samsung could provide contract chip manufacturing services ⁠for next-generation AMD ⁠products.

Under the agreement, Samsung will position itself as a key HBM4 supplier for AMD's next-generation AI GPUs, Reuters reported. The South Korean firm has already been a primary HBM supplier for AMD, supplying HBM3E chips used in AMD's MI350X and MI355X accelerators.

The ⁠agreement comes during the week of Nvidia's annual developer conference GTC, where CEO Jensen Huang on Monday announced a foundry partnership with the Korean firm and praised its HBM4 chips.

The tie-up highlights a broader race among global chipmakers to lock in long-term supply partnerships for advanced memory, as AI-driven demand reshapes the semiconductor industry and tightens supply of HBM chips.

Last month, AMD said it had agreed ⁠to sell ⁠up to $60 billion worth of AI chips to Meta Platforms over five years, a deal that allows the Facebook owner to purchase as much as 10% of the chips. AMD signed a similar deal with OpenAI last year.

Samsung, the world's largest memory chipmaker, has been seeking to narrow the gap with rivals in the fast-growing HBM segment. It holds about a 22% share of the global HBM market, compared with market leader SK Hynix's 57%, according to Counterpoint.


Nvidia Making AI Module for Outer Space

Nvidia CEO Jensen Huang says artificial intelligence powered by the company's graphics processing units is quickly infusing nearly everything from Disney character robots to data centers that may one day be orbiting the planet. JOSH EDELSON / AFP
Nvidia CEO Jensen Huang says artificial intelligence powered by the company's graphics processing units is quickly infusing nearly everything from Disney character robots to data centers that may one day be orbiting the planet. JOSH EDELSON / AFP
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Nvidia Making AI Module for Outer Space

Nvidia CEO Jensen Huang says artificial intelligence powered by the company's graphics processing units is quickly infusing nearly everything from Disney character robots to data centers that may one day be orbiting the planet. JOSH EDELSON / AFP
Nvidia CEO Jensen Huang says artificial intelligence powered by the company's graphics processing units is quickly infusing nearly everything from Disney character robots to data centers that may one day be orbiting the planet. JOSH EDELSON / AFP

Nvidia chief Jensen Huang on Monday said the leading artificial intelligence chip maker is heading for space with a goal of powering orbiting data centers.

An Nvidia graphics processing unit (GPU) was launched into space late last year by startup Starcloud in what was touted as an off-planet debut for the technology, but now Nvidia is creating a module intended as a building block for data centers there.

"We're working with our partners on a new computer called Vera Rubin Space One," Huang said as he kicked off the GPU-maker's annual developers conference in Silicon Valley.

"It's going to go out to space and start data centers."

Partners in the project include Starcloud, which is planning a November satellite launch that will mark the "cosmic debut" of the new Nvidia module.

A Starcloud-1 satellite, about the size of a small refrigerator, is expected to be packed with 100 times more computing power than any previous space-based operation.

"In 10 years, nearly all new data centers will be being built in outer space," predicted Starcloud co-founder and chief Philip Johnston.

The startup explained that it plans to power Google AI with the Nvidia GPUs to show that large language models can run in outer space.

Nvidia described the Vera Rubin module as being optimized for AI, enabling real-time sensing, decision making, and autonomous functioning.

"Space computing, the final frontier, has arrived," Huang said.

"With our partners, we're extending Nvidia beyond our planet - boldly taking intelligence where it's never gone before."

Tech firms are floating the idea of building data centers in space and tapping into the sun's energy to meet out-of-this-world power demands in a fierce artificial intelligence race.

More than a dozen startups, aerospace leaders, and major tech firms are involved in the development, testing, or planning of space-based data centers.

The big draw of space for data centers is power supply, with the option of synchronizing satellites to the sun's orbit to ensure constant light beaming onto solar panels.

Building in space also avoids the challenges of acquiring land and meeting local regulations or community resistance to projects.

Critical technical aspects of such operations need to be resolved, however, particularly damage to the orbiting data centers from high levels of radiation and extreme temperatures, and the danger of them being hit by space junk.