AIchips Archives - Corporate Updates

Huawei accelerates AI chip push to challenge Nvidia

Huawei is moving faster in the artificial intelligence chip race, bringing forward the launch of its next-generation processors as China works to build a stronger domestic alternative to Nvidia.

The Chinese technology giant said it will launch two new AI chips in 2027. The Ascend 960DT is expected in the first quarter, while the Ascend 960PR will follow in the third quarter. The announcement was made at Huawei’s annual Connect conference in Shanghai on September 17.

The new timetable is earlier than Huawei had previously indicated. The company had earlier planned to release the Ascend 960 later in 2027. Splitting the product into two versions also reflects the different demands of AI workloads, including training large AI models and running AI applications after they have been developed.

Huawei’s move comes as demand for AI computing in China continues to grow. Eric Xu, one of the company’s rotating chairmen, said Huawei currently does not have enough production capacity to meet demand inside China. That shortage is also limiting the company’s ability to expand its AI hardware business overseas.

The situation highlights how important AI chips have become to China’s technology industry.

Powerful processors are needed to train and operate advanced AI models. Nvidia has built a dominant position in this market through its high-performance chips and CUDA software platform, which is widely used by AI developers.

Huawei is trying to build an alternative.

Its Ascend series has become one of the most important Chinese alternatives to Nvidia’s AI processors. US restrictions on the export of advanced semiconductors and chipmaking technology to China have added urgency to that effort.

Huawei executives say the company is gaining ground in the Chinese AI chip market. Xu has claimed that Ascend has a larger share of the domestic market than Nvidia, although Huawei did not provide figures to support the claim. Nvidia, meanwhile, continues to have a significant advantage in AI software and developer support.

Huawei is also taking a different approach to improving computing power.

Instead of relying only on making a single chip more powerful, the company is working on technologies that allow large numbers of processors to operate together. Its UnifiedBus technology is designed to connect processors with memory, storage and networking components so they can function as part of a much larger computing system.

The company has developed 11 semiconductors using the technology and says its systems can eventually connect up to one million AI processors. Huawei has already shipped more than 1,000 such AI computing systems to more than 370 customers.

This approach is becoming increasingly important as AI models grow more complex. Training a large model can require thousands of processors working simultaneously. Connecting chips into clusters can therefore increase overall computing capacity even when an individual processor cannot match the performance of the most advanced Nvidia chips.

Huawei has unveiled the Atlas 960 SuperPoD as part of this strategy. The company is developing larger AI computing systems that combine its processors, networking technology and other hardware into a single platform.

The company has also laid out a longer-term roadmap. Huawei plans further generations of Ascend processors, including the Ascend 970 in 2028 and Ascend 980 in 2029. It has said future generations will continue to deliver substantial increases in computing performance.

The rapid development comes despite significant challenges.

US export controls have restricted Chinese companies’ access to some advanced AI chips and semiconductor manufacturing equipment. Huawei has also faced limitations in obtaining the most sophisticated chipmaking technology, making it harder to compete directly with the latest processors produced by companies such as Nvidia.

That has pushed Huawei to focus on efficiency, chip design, networking and large-scale systems rather than competing on individual chip performance alone.

Software is another important part of the competition. Nvidia’s CUDA platform has become deeply embedded in AI development, giving the US company a large ecosystem of developers and applications. Huawei is working to expand its own software ecosystem and attract Chinese AI developers to its Ascend platform.

The company says more than 40 AI models have already been trained using its systems, while its developer community continues to expand.

China’s push for AI self-reliance is giving Huawei an important domestic market. Chinese technology companies are increasingly looking for locally developed chips and computing systems as US-China technology restrictions reshape the semiconductor industry.

The competition, however, is no longer simply about who makes the fastest AI chip. It is becoming a broader contest involving processors, software, networking, memory, data centres and the ability to connect thousands of chips into a single AI computing platform.

Huawei’s accelerated 2027 roadmap shows how quickly that contest is developing. The company is preparing to release new AI chips almost every year while building the infrastructure needed to support increasingly demanding AI applications.

Whether Huawei can close the remaining technology and software gap with Nvidia will depend on its ability to improve chip performance, expand production and strengthen its developer ecosystem.

But one thing is becoming clear: China’s AI ambitions are creating a rapidly expanding market for domestic AI chips, and Huawei intends to play a central role in it.

AMD invests $5 bn in Anthropic AI partnership

Advanced Micro Devices (AMD) has announced a landmark partnership with artificial intelligence startup Anthropic, committing to invest up to $5 billion in the company as both firms strengthen their position in the rapidly expanding artificial intelligence (AI) industry. The deal combines a major financial investment with a long-term technology collaboration aimed at accelerating the development and deployment of next-generation AI systems.

The partnership marks one of AMD’s biggest strategic moves in the AI sector and reflects the growing competition among technology companies to build the computing infrastructure needed for increasingly powerful AI models. As businesses worldwide adopt generative AI at an unprecedented pace, demand for advanced AI chips and high-performance computing continues to surge.

As part of the agreement, AMD will make a strategic investment of up to $5 billion in Anthropic over several years. The AI startup, known for developing the Claude family of AI models, will also use AMD’s latest AI accelerators to train and run future generations of its artificial intelligence systems.

The collaboration gives Anthropic another major hardware partner beyond Nvidia and broadens AMD’s role in the fast-growing AI chip market. For AMD, the agreement represents an opportunity to showcase the performance of its AI processors while expanding its presence among leading AI developers.

The announcement comes at a time when technology companies are investing billions of dollars to secure access to advanced computing resources. Training large language models requires enormous computing power, making specialised AI chips one of the most valuable assets in the global technology industry.

AMD Chief Executive Officer Lisa Su said the partnership reflects the company’s commitment to building an open AI ecosystem and providing customers with greater choice in AI infrastructure. She noted that developers increasingly want alternatives that can deliver high performance while avoiding dependence on a single hardware supplier.

Anthropic has rapidly emerged as one of the world’s leading AI companies through its Claude chatbot and enterprise AI solutions. The company focuses on developing reliable and responsible artificial intelligence systems for businesses, researchers and consumers. As demand for its AI services grows, expanding computing capacity has become a critical priority.

For Anthropic, partnering with AMD offers access to advanced AI hardware that can support the growing computational demands of developing increasingly capable AI models. Diversifying its hardware suppliers may also improve resilience and flexibility as competition for AI chips intensifies worldwide.

The partnership extends beyond investment alone. The two companies plan to optimise Anthropic’s AI models for AMD’s latest AI accelerators, improving performance, efficiency and scalability. Engineers from both organisations are expected to work closely to fine-tune software and hardware for large-scale AI training and inference.

Industry analysts view the agreement as another sign that the AI hardware market is becoming increasingly competitive. Nvidia continues to dominate the sector with its graphics processing units (GPUs), but rivals such as AMD are investing aggressively to capture a larger share of the rapidly expanding market.

The deal also highlights the enormous capital flowing into artificial intelligence. Over the past two years, leading AI companies have attracted billions of dollars in funding from technology giants and institutional investors as competition intensifies to develop the most advanced generative AI models.

For enterprises, increased competition among AI chip providers could eventually reduce costs, improve hardware availability and accelerate innovation. Businesses deploying AI applications are seeking powerful yet flexible computing platforms capable of supporting everything from chatbot services to scientific research and enterprise automation.

AMD has significantly expanded its AI strategy in recent years through new product launches, software investments and partnerships with cloud providers and AI developers. The collaboration with Anthropic further strengthens its position in the evolving AI infrastructure ecosystem and demonstrates its ambition to become a leading supplier of AI chips for generative AI workloads.

Meanwhile, Anthropic continues to grow its global presence as demand rises for enterprise-grade artificial intelligence solutions. The company has increasingly focused on building secure and trustworthy AI systems that can be deployed across industries including finance, healthcare, education and software development.

The AMD-Anthropic partnership underscores how artificial intelligence has become one of the world’s most competitive technology sectors. As companies race to develop faster AI models and more powerful computing infrastructure, collaborations between semiconductor manufacturers and AI developers are expected to play a central role in shaping the future of generative AI, AI chips, cloud computing and advanced AI infrastructure. With billions of dollars now committed to the partnership, both companies are positioning themselves for the next phase of the global AI revolution.