Finn's Take· TL;DRSamsung shares rose more than 5% in Seoul trading after news emerged that the company plans to begin mass production of the advanced chips in February at its Pyeongtaek campus . Samsung Electronics plans to start production of its next-generation high-bandwidth memory (HBM) chips, or HBM4, next month and supply them to Nvidia , marking a critical milestone in the fierce competition for artificial intelligence infrastructure.
Samsung Electronics Co. is set to become the industry's first supplier to ship its sixth-generation high-bandwidth memory, known as HBM4, to key customers including Nvidia Corp. and Advanced Micro Devices Inc. as early as February . This development represents Samsung's aggressive push to regain leadership in the lucrative AI memory market, where it has been trailing competitors SK Hynix and Micron.
HBM4, or high-bandwidth memory 4, is designed to handle large volumes of data at high speed and is widely used in AI accelerators and data center processors. Industry reports said the chips are intended for Nvidia's next-generation AI platform, known as Rubin , which promises to dramatically accelerate artificial intelligence capabilities.
Samsung trails SK Hynix and Micron Technology Inc. at the forefront of AI memory, but all three companies have seen their shares surge dramatically in recent weeks as the AI rush has produced a shortage of memory for the broader electronics industry. Between them, the three leading memory chip manufacturers have gained roughly $900 billion in market value since the start of September .
After missing out on the opportunity to supply fifth-generation high-bandwidth memory (HBM3E) chips in large quantities to Nvidia, Samsung is making sure that it doesn't face the same issues with its sixth-generation high-bandwidth memory (HBM4) chips. It was recently revealed that Samsung's HBM4 chips passed Nvidia's quality testing with flying colors .
TrendForce notes that compared with its peers, Samsung has taken an early lead by adopting a 1c nm process (10nm-class, 6th-generation) for HBM4 and utilizing advanced in-house foundry technology for the base die. This approach, as per TrendForce, is expected to enable higher transmission speeds, positioning Samsung as the most likely supplier to qualify first and potentially gain an advantage .
Each Rubin GPU is expected to feature eight stacks of HBM4, providing a total of 288 GB of high-speed memory and an aggregate bandwidth exceeding 22 TB/s . This represents a massive leap in processing capability that could enable AI models to run tasks that previously required entire server farms.
Most of Samsung's HBM4 chips will be installed in Nvidia's next-generation AI accelerator system called Vera Rubin, which will be launched in the second half of 2026. Some HBM4 chips will also be supplied to Google for its seventh-generation Tensor Processing Units (TPUs) .
According to the Seoul Economic Daily, citing unidentified industry sources, SK Hynix will commence HBM4 production at its M16 fab facility in February. SK Hynix has already made significant progress in the development process, having provided HBM4 samples to NVIDIA in March and established its mass production system in September , setting up an intense rivalry for market dominance.
With the HBM market forecast to grow by a staggering 58% to reach $54.6 billion in 2026, the arrival of HBM4 is the oxygen for a new generation of AI accelerators . The timing couldn't be more crucial as companies worldwide race to develop more sophisticated artificial intelligence applications.
Both Samsung and SK Hynix are set to announce their fourth-quarter earnings on Thursday when they are expected to share details of HBM4 orders. Nvidia CEO Jensen Huang said early this month that the company's next-generation chips, the Vera Rubin platform, is in full production, as the U.S. company prepares to launch the chips, to be paired with HBM4 chips, later this year .
The February production timeline positions Samsung to potentially capture significant market share in what analysts describe as the most important semiconductor battle of the decade. As AI continues reshaping industries from healthcare to autonomous vehicles, the companies that control advanced memory production will likely determine the pace of technological progress for years to come.