Here’s a detailed breakdown of what HBM is, why it matters, and how these restrictions could impact China.

What is High Bandwidth Memory (HBM)?

HBM is an advanced type of memory chip designed to store and transmit data at unprecedented speeds. Unlike traditional DRAM (Dynamic Random Access Memory), HBM stacks memory chips vertically, enabling greater data storage and faster performance.

These chips are vital for:

• AI Applications: Powering AI processors, such as GPUs made by Nvidia and AMD.
• High-Performance Computing: Used in data centers and autonomous vehicles.
• Graphic Cards: Supporting complex gaming and rendering tasks.

“HBM is like the memory of a brain—it’s indispensable for AI,” explains G. Dan Hutcheson, Vice Chair of TechInsights. Without HBM, AI processors would lack the ability to store and access the vast amounts of data they require.

Why is HBM Critical for AI?

HBM stands out due to its larger storage capacity and faster data transmission speeds. This makes AI applications run more efficiently, reducing delays and improving performance.

To illustrate, Hutcheson compares HBM’s higher bandwidth to a highway:
“Think of a two-lane road versus a hundred-lane highway. With HBM, data flows seamlessly without bottlenecks, enabling AI systems to handle complex computations.”

How is HBM Made?

HBM manufacturing involves a sophisticated process of stacking memory chips like layers of a hamburger. However, creating these chips requires extreme precision:

• Thin Layers: Each chip layer is as thin as half a strand of hair.
• Advanced Packaging: Holes must be drilled with pinpoint accuracy for electric wires, akin to constructing a delicate house of cards.

These challenges contribute to HBM’s high cost—several times that of conventional memory chips.

Who Dominates the HBM Market?

Three companies lead the global HBM market:

1. SK Hynix (South Korea) – 50% market share in 2022.
2. Samsung (South Korea) – 40% market share in 2022.
3. Micron (USA) – 10% market share in 2022, aiming to grow to 20-25% by 2025.

Together, SK Hynix and Samsung are expected to maintain a combined 95% market share through 2024.

Why is the US Restricting HBM Exports to China?

The US announced new export restrictions on December 2, targeting HBM chips as part of a broader effort to curb China’s access to advanced technology with potential military applications.

This follows earlier measures by the Biden administration to limit China’s access to cutting-edge semiconductors. In response, Beijing imposed export controls on critical materials like germanium and gallium, essential for chipmaking.

Impact of Restrictions on China

China’s ability to produce HBM lags behind global leaders like SK Hynix, Samsung, and Micron. While domestic companies such as Yangtze Memory Technologies and Changxin Memory Technologies are ramping up production, experts believe the restrictions will delay China’s progress.

“In the short run, the US restrictions will block China’s access to high-quality HBM,” says Jeffrey Chiu, CEO of Ansforce. “However, in the long term, China is likely to produce HBM independently, albeit with less advanced technologies.”

Why is HBM So Important?

The rapid rise of generative AI, which powers tools like ChatGPT, has driven soaring demand for HBM. AI applications require vast amounts of data to train large language models, and HBM’s superior performance ensures smooth, glitch-free operations.

With HBM accounting for an increasing share of the memory chip market—projected to exceed 30% by 2025—it’s clear that these chips are indispensable for the future of technology.

The Bigger Picture

The US-China tech rivalry underscores the strategic importance of semiconductors like HBM. As AI continues to revolutionize industries, controlling access to critical technologies could shape the balance of power in the global tech landscape.

By restricting HBM exports, the US aims to maintain its technological edge while limiting China’s progress in AI development. However, with China’s determined push toward tech self-sufficiency, the competition is far from over.

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Nvidia has posted strong third-quarter earnings that exceeded both sales and earnings expectations, continuing to benefit from the growing demand for its AI chips. However, the company’s shares fell by 2% in after-hours trading despite these positive results.

Key Financial Highlights

• Revenue: $35.08 billion, surpassing the $33.16 billion expected by analysts.
• Earnings per Share (EPS): 81 cents adjusted, better than the 75 cents per share expected.

Looking ahead, Nvidia forecasts approximately $37.5 billion in revenue for the current quarter, plus or minus 2%, exceeding the $37.08 billion analysts had predicted. This implies a year-over-year growth of about 70%, a significant slowdown from the 265% growth reported for the same period last year.

Growth Overview

Nvidia’s revenue surged 94% year-over-year for the quarter ending October 27, continuing the company’s growth trajectory. However, this marked a decline from previous quarters, where Nvidia posted 122%, 262%, and 265% growth, respectively.

Despite a slowdown in growth, Nvidia remains the primary beneficiary of the ongoing artificial intelligence boom. In 2024, Nvidia’s shares have nearly tripled, making it the most valuable publicly traded company.

Data Center Division Driving Growth

Nvidia’s data center business, which handles sales of AI processors and related components, now constitutes the majority of the company’s revenue. The division generated $30.8 billion, reflecting a 112% increase from the previous year. This exceeded the $28.82 billion analysts had expected. However, not all of this revenue came from chips—about $3.1 billion came from sales of networking parts.

Net Income and Margins

Net income for the quarter grew to $19.3 billion, or 78 cents per share, compared to $9.24 billion, or 67 cents per share, in the same period last year. Nvidia’s gross margin also increased to 73.5%, slightly above analyst expectations, driven by higher sales of data center chips.

AI Chips: Blackwell and H200

Nvidia’s next-generation AI chip, Blackwell, is now in full production, with 13,000 samples already shipped to major clients such as Microsoft, Oracle, and OpenAI. Nvidia’s CEO, Jensen Huang, highlighted that Blackwell is in “full production,” and it is now in the hands of most of the company’s major partners who are working to integrate the chips into their data centers.

Nvidia’s CFO, Colette Kress, confirmed that shipments of Blackwell chips will increase next year, with the company expecting “several billion dollars” in Blackwell-related revenue in the fourth quarter. Additionally, sales of Nvidia’s current-generation AI chip, the H200, saw significant growth during the quarter.

Both the Hopper and Blackwell systems face supply constraints, with demand for Blackwell expected to outstrip supply for several quarters into fiscal 2026.

Gaming Business Performance

Nvidia’s gaming division generated $3.28 billion in revenue, exceeding StreetAccount’s expectation of $3.03 billion. The increase in gaming sales is attributed to higher demand for GPUs for PCs and laptops, as well as increased revenue from gaming console chips. Nvidia’s chip powers the Nintendo Switch, contributing to the rise in console chip sales.

Smaller Segments: Automotive and Professional Visualization

While Nvidia’s gaming and data center divisions are the company’s largest revenue drivers, its automotive and professional visualization segments also showed growth.

• Automotive: Sales in this segment reached $449 million, a 72% increase year-over-year, largely driven by demand for self-driving car chips and chips used in robotics.
• Professional Visualization: This segment accounted for $486 million in revenue, marking a 17% increase from the previous year.

Conclusion

Nvidia continues to lead the AI chip market with robust growth, driven primarily by its data center business and strong demand for its next-generation chips like Blackwell. While the company is experiencing a slight slowdown in growth rates, it remains poised for continued success, with significant revenue expected from AI chip sales and sustained demand across its gaming and automotive sectors.

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