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Samsung and Broadcom deepen AI collaboration – deal could be worth over $200 billion

Samsung and Broadcom announce strategic AI collaboration on HBM memory, 2nm chip production, and advanced packaging for next-generation AI infrastructure. Samsung and Broadcom announce strategic AI collaboration on HBM memory, 2nm chip production, and advanced packaging for next-generation AI infrastructure.
Samsung and Broadcom are entering into a strategic collaboration in HBM memory, advanced chip manufacturing, and packaging to power next-generation AI infrastructure.

Samsung Electronics and Broadcom has announced a comprehensive strategic collaboration to strengthen the development of next-generation AI infrastructure. The partnership includes advanced memory solutions, semiconductor contract manufacturing and advanced packaging technology and is estimated to be worth more than $200 billion by the end of the decade.

The agreement will see the companies collaborate in three key areas: high-bandwidth memory (HBM), Samsung’s foundry business, and advanced chip packaging, with the goal of meeting the rapidly growing demand for AI accelerators and high-performance semiconductors for data centers and cloud infrastructure.

Strategic collaboration on HBM memories

An important part of the agreement is a strategic collaboration around the delivery of Samsung's most advanced memory solutions, with a focus on high-bandwidth memory (HBM).

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HBM has become a key component in modern AI systems because the technology offers significantly higher memory bandwidth and better energy efficiency than traditional DRAM solutions. Broadcom plans to use Samsung's HBM products in future generations of AI accelerators and custom ASICs for hyperscale data centers.

The increasing use of generative AI and large language models has made HBM one of the most sought-after components in the semiconductor industry, where demand continues to exceed supply.

Samsung's 2-nanometer technology takes a central role

The collaboration also includes Samsung's semiconductor contract manufacturing business, where Broadcom plans to use the company's upcoming sub-2-nanometer processes for future chips.

The advanced manufacturing technology will be used for Broadcom's next generation of AI and network infrastructure products. For Samsung, the agreement also represents an important step in the company's ambition to strengthen its position in the foundry market and challenge the dominant player TSMC.

Advanced packaging becomes a new competitive advantage

In addition to memory and chip production, the companies will also collaborate on advanced packaging technology, an area that has become increasingly important as AI processors become larger, faster and more complex.

Modern packaging allows processors, memory, and other components to be more closely integrated, improving performance while reducing power consumption and latency. The technology is now considered one of the most important building blocks for future AI servers and data centers.

One of the largest AI deals in the semiconductor industry

The partnership illustrates how the semiconductor industry is changing as the AI market rapidly expands. As companies invest billions in new AI data centers, the need for customized AI chips, advanced memory solutions, and more efficient manufacturing processes is increasing.

Broadcom has established itself in recent years as a leading developer of custom AI chips for some of the world's largest cloud providers. Samsung is also one of the world's largest manufacturers of both memory chips and advanced semiconductors.

By combining Samsung production technology and memory expertise with Broadcom's AI development strengthens companies' positions for the next phase of AI development, where more and more technology companies are building their own AI platforms and the infrastructure behind them is becoming an increasingly important competitive factor.

The new collaboration also underscores how strategic partnerships between chip developers and manufacturers will be crucial to meeting global demand for AI technology for the rest of the decade.

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