Chinese memory-chip maker CXMT said Sunday that its fifth-generation technology platform has entered mass production, marking a significant advance in Beijing’s effort to build a domestic competitor to Samsung Electronics, SK Hynix and Micron Technology in the global DRAM market.

The Hefei-based company said the new platform can produce more powerful memory chips at lower cost and with lower power consumption, giving Chinese electronics manufacturers another domestic source of DRAM for smartphones and other devices.

The announcement is particularly significant because DRAM is a foundational component of modern electronics. It provides the short-term working memory used by smartphones, computers, servers, and other devices to run applications and process data.

CXMT is China’s leading DRAM producer and has been expanding its technological capabilities as Beijing pushes to reduce the country’s dependence on foreign semiconductor suppliers. The company listed on Shanghai’s STAR Market this year, giving it access to domestic capital as it expands production.

The fifth-generation platform is designed to improve both chip density and manufacturing efficiency. CXMT said it has reduced the spacing of key features in the data-storage portion of its chips to 11.95 nanometers, allowing more memory to be packed into each chip and more individual dies to be produced from every silicon wafer.

The company said it achieved the advance using quadruple patterning, a manufacturing technique that repeats lithography steps to create fine circuit patterns.

“Our process capability is now on par with the most advanced mass-produced nodes out there in the industry,” Luo Xiaodong, CXMT’s vice president and head of its marketing center, said at the 2026 World Manufacturing Convention in Hefei.

That claim, if sustained in commercial production, would narrow an important technological gap between CXMT and the established global memory-chip leaders.

CXMT Targets Smartphone Memory Market

CXMT also unveiled two 24-gigabit LPDDR5X products manufactured using the new platform. LPDDR5X is a low-power form of DRAM widely used in smartphones and other portable electronics. The company said the new products can hold 50% more data than its previous equivalent products and have already entered mass production. They are available in two package formats intended for different smartphone and portable-device designs.

CXMT said the new manufacturing platform can generate at least 50% more gross chip dies per wafer than its fourth-generation technology, based on an 8-gigabit chip baseline. The figure is important because wafer productivity directly affects the economics of semiconductor manufacturing. Producing more dies from each wafer can lower the amount of silicon required for every chip and potentially improve manufacturing costs.

CXMT clarified that the 50% increase refers to the gross number of potential dies produced from a wafer before defective chips are removed. It therefore does not represent a 50% increase in the proportion of chips that successfully pass final testing.

The company said it developed the new platform through computer simulations and cooperation with Chinese semiconductor equipment manufacturers on critical production processes.

That approach is also considered bold and defiant in the context of U.S. restrictions on China’s semiconductor industry.

Since 2022, Washington has tightened export controls covering advanced semiconductor manufacturing equipment, software and other technologies that China can access. The restrictions have complicated Beijing’s efforts to develop cutting-edge chips using the same equipment and production ecosystems available to companies in South Korea, Taiwan and the United States.

CXMT’s progress therefore represents more than a commercial push into the memory market. Many see it also as a test of whether Chinese semiconductor manufacturers can continue advancing through domestic engineering, equipment development and manufacturing improvements while operating with more limited access to foreign technology.

A Bigger Challenge for Global Memory Makers

Samsung, SK Hynix and Micron currently dominate the global DRAM industry, making CXMT’s expansion a potential source of additional competition in a market where manufacturing scale and technological sophistication are critical.

But the emergence of a larger Chinese supplier could have implications for both prices and supply chains, particularly in lower-power memory used in consumer electronics.

CXMT’s latest products are initially focused on smartphones and other portable devices rather than demonstrating that the company has matched the leaders across every segment of the DRAM market. The company’s claim that its process capability is comparable with advanced mass-produced nodes is also a company statement rather than an independently verified assessment.

Still, moving a new technology platform into mass production is materially different from demonstrating a chip in a laboratory or announcing a prototype. It suggests CXMT has reached a stage where the technology can be incorporated into commercial manufacturing at scale.

The economics of that production will ultimately determine how significant the advance becomes.

China remains one of the world’s largest electronics manufacturing hubs, creating a large potential domestic market for locally produced memory. Chinese smartphone and electronics manufacturers could benefit from having an additional supplier, while CXMT can use domestic demand to increase production volumes and gather manufacturing experience.

The company is also entering the market at a time when memory has become increasingly important to the artificial intelligence industry. DRAM and higher-performance memory technologies are essential components of the computing systems used in data centers, although the requirements of AI accelerators are increasingly centered on high-bandwidth memory, or HBM, a more specialized segment where Samsung and SK Hynix remain major players.

CXMT’s progress does not immediately translate into a challenge across the entire memory industry. But a stronger domestic DRAM producer gives China a broader foundation from which to develop more advanced memory technologies.

That is precisely what makes the company’s fifth-generation platform important to Beijing’s wider semiconductor ambitions. China is not simply trying to replace individual imported chips. It is attempting to develop a complete domestic semiconductor ecosystem spanning chip design, manufacturing, equipment and materials.

CXMT’s ability to increase the number of dies produced from each wafer while reducing feature spacing points to progress on the manufacturing side of that effort.

However, industry analysts say the next test will be whether those gains can translate into reliable yields, competitive costs and sustained commercial volumes. If CXMT can achieve those targets, the company could become a more significant force in global DRAM supply and further reduce Chinese electronics manufacturers’ dependence on Samsung, SK Hynix and Micron.

This means for the established memory leaders, another competitive variable in an industry already undergoing a major investment cycle driven by smartphones, data centers and AI infrastructure.

OpenAI expects to burn through $278 billion in cash between 2026 and 2030 as it pours money into computing power and infrastructure, underscoring the extraordinary capital requirements behind the race to build and operate powerful artificial intelligence systems.

The projection, reported by the Financial Times on Friday based on a company presentation, highlights the scale of funding OpenAI will need to sustain its expansion even as it forecasts a tenfold increase in revenue over the same period.

The ChatGPT maker expects revenue to rise from $36 billion in 2026 to $350 billion in 2030, while generating cumulative revenue of about $840 billion through the end of the decade. But those gains would come alongside an enormous infrastructure bill.

OpenAI forecasts spending roughly $856 billion on computing power and infrastructure through 2030, making the category by far its largest expense, according to the FT. The company expects cumulative negative free cash flow of $278 billion over the five-year period as it invests heavily in the capacity required to train and run its AI models.

The figures illustrate the unusual economics of the current AI boom. OpenAI is projecting explosive revenue growth, but the computing infrastructure required to support that growth is expanding almost as aggressively. The company is effectively betting that demand for AI services will eventually scale fast enough to absorb the enormous cost of the servers, chips, data centers and energy needed to operate them.

That creates a substantial financing requirement.

OpenAI raised $122 billion in March at an $852 billion valuation. The company is nevertheless projected to exhaust that cash by 2028 if spending follows the trajectory outlined in its presentation.

The funding challenge comes as OpenAI explores additional capital at an even higher valuation. The FT reported earlier this week that the company has held discussions with investors that could value it at around $1.2 trillion ahead of a potential public listing.

OpenAI confidentially filed for an initial public offering in June, although CEO Sam Altman said on Saturday that the company would not go public in 2026, citing concerns about AI safety.

The projected cash burn also provides a clearer picture of why the AI industry’s infrastructure race has increasingly become a capital markets story. The largest AI developers are not simply competing on model performance. They are competing to secure long-term access to the computing capacity needed to serve rapidly growing numbers of users and enterprise customers.

The financial challenge is huge for OpenAI because much of the expected spending must occur before the corresponding revenue is realized. Building or securing data-center capacity, purchasing computing resources, and developing sophisticated AI models require substantial upfront commitments, while the commercial return depends on continued growth in usage and pricing.

The company’s forecast assumes that revenue will increase from $36 billion to $350 billion in just four years after 2026. That would represent an increase of more than ninefold, meaning OpenAI’s financial model depends on the AI market expanding rapidly enough to support both its own growth and the infrastructure investments required to deliver it.

The numbers also show why the economics of AI cannot be judged solely by headline revenue growth. A company can grow sales rapidly while still consuming enormous amounts of capital if computing and infrastructure costs rise faster than operating cash generation.

OpenAI’s projected $278 billion cumulative negative free cash flow therefore puts greater emphasis on its ability to convert AI adoption into durable cash generation. If demand grows as projected, the company’s infrastructure commitments could provide the capacity needed to support a much larger business. If growth falls short, the scale of those commitments could become a significant financial burden.

For now, OpenAI’s projections point to a business that is still in an investment-intensive phase. The company is forecasting hundreds of billions of dollars in future revenue, but it is also preparing to spend hundreds of billions more to build the computing foundation required to generate it.