--- title: "Samsung Shortens HBM Development Cycle from Two Years to One, Aligning with NVIDIA's Pace to Capture Larger Market Share" type: "News" locale: "en" url: "https://longbridge.com/en/news/283186270.md" description: "Samsung Electronics announced it will compress its high-bandwidth memory (HBM) research and development cycle from two years to one year to align with the release schedules of AI accelerator customers like NVIDIA and embed itself into the core chain of the AI hardware ecosystem. Its highly vertically integrated production system gives Samsung a distinct advantage in accelerating R&D cycles and ensuring coordinated progress across all stages" datetime: "2026-04-17T19:25:43.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/283186270.md) - [en](https://longbridge.com/en/news/283186270.md) - [zh-HK](https://longbridge.com/zh-HK/news/283186270.md) --- # Samsung Shortens HBM Development Cycle from Two Years to One, Aligning with NVIDIA's Pace to Capture Larger Market Share Samsung Electronics is significantly accelerating the iteration pace of high-bandwidth memory (HBM), shortening the development cycle for next-generation products from approximately two years to under one year, aiming to regain the initiative in the storage chip race driven by artificial intelligence. According to Busan News, a source familiar with Samsung's internal operations stated, **"The company has formulated and is executing a plan to launch a new generation of HBM annually to match the release schedule of major clients' new AI accelerators, such as NVIDIA."** This adjustment has direct and profound implications for the market. **A shorter iteration cycle means Samsung can respond more flexibly to product roadmap changes by large technology clients, striving for a larger share in the customized HBM market.** Analysts believe this move helps Samsung avoid falling behind in the technological generational competition against the backdrop of continued expansion in AI infrastructure investment. ## **Two-Year Cycle No Longer Viable; AI Accelerator Paces Force Transformation** For many years, Samsung has advanced HBM standard generations on an approximate two-year cycle. Currently, its latest mass-produced product is HBM3E, while the next-generation HBM4 is expected to be launched later this year alongside new AI accelerator platforms such as NVIDIA's Vera Rubin platform and AMD's Instinct MI400 platform. However, the explosive growth of AI applications has rendered this pace insufficient. **Major AI accelerator manufacturers have generally shifted to an annual product generation update cycle; if HBM suppliers fail to keep pace, they face risks of technological lag and even customer loss.** By proactively compressing its R&D cycle to one year, Samsung is essentially aligning its supply chain rhythm with customer roadmaps, embedding itself into the core chain of the AI hardware ecosystem. ## **Vertical Integration Advantage Supports Acceleration** The key to Samsung achieving the above goals lies in its highly vertically integrated production system. **From the manufacturing of base dies to memory stacking and packaging, Samsung possesses complete internal capabilities without relying on external suppliers, which offers distinct advantages in compressing R&D cycles and ensuring coordinated progress across all stages.** Advanced packaging technologies such as Hybrid Bonding are also crucial pillars, paving the way for the implementation of HBM5 and various customized HBM solutions. It is reported that Samsung's HBM4E is progressing according to plan and is expected to enter the sample testing phase in the second half of this year, becoming the first concrete outcome of the company's strategy to shorten iteration cycles. ## **Targeting Customized HBM Market, Seeking Differentiated Competition** **Analysts point out that compressing the R&D cycle to one year will help Samsung establish a stronger first-mover advantage in the customized HBM5 market.** Global large technology companies are generally seeking to compress product development cycles and improve supply chain efficiency; Samsung's accelerated iteration pace precisely meets this demand, enabling it to respond more flexibly to dynamic changes in customer requirements. In the HBM market, SK Hynix currently maintains the lead through deep binding with NVIDIA, while Micron is also actively expanding its market share. Samsung's strategic adjustment represents a proactive change amidst intense competitive pressure; whether this will reshape the competitive landscape in the high-end HBM market remains to be verified by subsequent product cycles. ### Related Stocks - [SSNGY.US](https://longbridge.com/en/quote/SSNGY.US.md) - [09747.HK](https://longbridge.com/en/quote/09747.HK.md) - [NVDA.US](https://longbridge.com/en/quote/NVDA.US.md) - [AMD.US](https://longbridge.com/en/quote/AMD.US.md) - [MU.US](https://longbridge.com/en/quote/MU.US.md) - [SMSN.UK](https://longbridge.com/en/quote/SMSN.UK.md) - [NVD.DE](https://longbridge.com/en/quote/NVD.DE.md) ## Related News & Research - [Nvidia rival tells CNBC it's seeking at least $100 million in funding as European AI chip market booms](https://longbridge.com/en/news/283104648.md) - [What Allbirds needs to do to make its Hail Mary AI pivot succeed](https://longbridge.com/en/news/283043758.md) - [2 Undervalued AI Stocks That Could Skyrocket Soon](https://longbridge.com/en/news/282991032.md) - [Is Allbirds Stock a Buy, Sell, or Hold Amid Major Pivot to NewBird AI?](https://longbridge.com/en/news/283038206.md) - [These Allbirds AI jokes are as fire as the company's stock price](https://longbridge.com/en/news/282954479.md)