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Ray Wang

Semiconductor Analyst, SemiAnalysis

Search every verified Ray Wang interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Ray Wang, an analyst at SemiAnalysis, appeared on the Odd Lots podcast on February 16, 2026, to discuss the recent surge in DRAM prices, which he attributed to AI-driven demand. He explained that AI models require substantial memory for both training and inference, as the process of handling sequential data chunks necessitates storing previous data while computing new inputs. Wang noted that the memory bandwidth of traditional commodity DDR has increased at a limited rate compared to computing power, which he said contributed to the rise of high-bandwidth memory (HBM). He also discussed supply-side constraints, stating that the three major memory makers—Micron, Samsung, and SK Hynix—face clean room shortages that limit incremental wafer capacity for 2026, leaving process migration as the primary way to increase DRAM bit output. Wang co-authored a report titled "Memory Mania: How a Once-i" (title truncated in the source), and he suggested that the current price spike resembles a commodity supercycle, with market rebalancing potentially occurring in 2027. He predicted that the highest-paying customers would secure volume allocations, though he acknowledged complex pricing negotiations, and he identified server DRAM and spending on related components as likely top priorities for buyers.

Recent appearances

  • Why CXMT is a Major Force in the Global Memory Market

    CXMT made history with China’s second-largest IPO. Yuri Khodjamirian, CIO of Tema ETFs, and Ray Wang, Analyst at SemiAnalysis, break down the milestone and explain why CXMT is a major force in the global memory market.

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  • Ep. 005 - Measuring AI's Impact On The Market (Memory, Tokenomics, Macro)

    This episode explores the impact of AI on memory costs, market dynamics, and economic measurement. Our experts discuss how AI is transforming industries, the challenges of measuring economic value, and the future of AI adoption across sectors. This week Jordan hosts our Memory team, Ray Wang, Malcolm Splitter, Joey Brookhart from SemiAnalysis. Chapters 00:00 Introduction and Guest Credibility 03:44 Memory Constraints and Market Impact 07:14 Elasticity of Supply and Economic Analogies 10:00 AI Adoption in Personal and Enterprise Life 14:57 Global Distribution of AI Usage and Tokens 20:00…

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  • Ray Wang on How AI Is Causing DRAM Prices to Surge | Odd Lots

    For years, DRAM — or Dynamic Random Access Memory — was kind of a sleepy, commoditized aspect of chip industry. Growth was steady, but modest, and prices just generally drifted lower. Suddenly all that's changed. AI has created voracious demand for DRAM and consumer facing companies are being forced to either curtail supply or raise prices due to exploding costs. But what is it about AI that consumes so much memory, and when will the market rebalance itself? On this episode, we speak with Ray Wang, an analyst at SemiAnalysis, who recently co-authored a report titled, Memory Mania: How a Once-i…

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  • Ray Wang, chip and semi analyst on Huawei

    Topics we covered include: 1. What are the actual capabilities of Huawei's Ascend 910C and 920 chips, and how do they compare to Nvidia's H20s? 2. How may the lack of access to H20s affect Chinese AI firms? 3. What does it mean when people say Huawei has advanced systems that, despite their chips being less advanced, they can still work very well for AI training and inference? 4. Explanation of the software and hardware integration process? How do CANN and CUDA compare? 5. Who are the major players in China for chip designing and manufacturing? And what is the relationship between Huawei and…

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