Key Takeaways
1. Tim Sweeney warns that high prices for graphics memory threaten the premium gaming computer industry, as PC manufacturers can’t compete with AI giants like Nvidia and Google.
2. RAM prices have surged significantly, with examples showing a jump from $240 to nearly $500 for 64GB Crucial RAM in just a month.
3. Nvidia is projected to pay over $500 for HBM4 graphics memory by 2026, with memory manufacturers raising prices due to strong demand from Nvidia.
4. The new HBM4 memory is expected to provide over double the bandwidth of the current HBM3E modules, but at a much higher price point.
5. Upcoming memory technologies like LPDDR6 and GDDR7 from SK Hynix are set to offer significant speed improvements, with launches scheduled for February at the ISSCC.
The CEO of Epic, Tim Sweeney, recently raised alarms about the premium gaming computer industry facing serious threats due to sky-high prices for graphics memory. He pointed out that PC and laptop manufacturers struggle to match the financial muscle of AI powerhouses like Nvidia, Google, and Meta, who are willing to spend a lot on their high-end GPU and AI data center initiatives. Sweeney’s concerns come in light of a surge in RAM prices, with one user noting that their 64GB Crucial RAM, which they purchased for $240 a month ago, has now skyrocketed to almost $500. At present, Amazon is offering two 32GB modules for sale, but the price is still significantly higher than what it was last October.
Market Dynamics
Interestingly, the $500 price tag is reportedly what Nvidia is getting ready to pay Samsung and SK Hynix for their upcoming HBM4 graphics memory in 2026. Insiders from the industry suggest that memory manufacturers are raising prices for Nvidia by as much as 100%, knowing they have the leverage. The production costs for SK Hynix’s HBM4 memory are expected to increase by 50% since it needs to have its base die produced at TSMC, and this increase will be fully transferred to Nvidia. Currently, SK Hynix provides Nvidia with its 12-layer HBM3E memory modules for around $350 each, while Samsung sells them for $100 less due to delays in certification.
Future Pricing Trends
By 2026, the high-end HBM4 memory for Nvidia’s AI chips is predicted to be priced in the mid-$500 range, which is more than double the cost of its HBM3E predecessor from Samsung. Insiders have indicated that Nvidia’s demand for HBM4 is so robust that Samsung Electronics has to ensure a supply, even at elevated prices. This could lead to increased costs for Nvidia’s products since the demand for its GPUs remains strong.
In addition to the pricing of Samsung’s HBM4 memory, sources in the industry have provided updates on its specifications. Samsung has reportedly revamped the interface and stacking design, achieving a bandwidth of 3.3 TB/s for the 36GB module. The enhancements include “better signal accuracy in high-speed areas by using automatic compensation for the alignment signal (TDQS) of the channel-specific through-silicon via (TSV) path,” which is relevant for processing AI accelerator and LLM-specific data. For comparison, the existing HBM3E modules that Samsung supplies to Nvidia offer a bandwidth of 1.2 TB/s, meaning the HBM4 module will provide over double the bandwidth, albeit at a doubled price.
Upcoming Innovations
On top of the new HBM4 specifications, an SK Hynix spokesperson has also reiterated the specs for its LPDDR6 and GDDR7 memory. The LPDDR6 mobile DRAM modules deliver 14.4 Gb/s throughput per pin, featuring innovative low-voltage regulator technology that stabilizes the signal at these enhanced speeds. Conversely, the 24GB GDDR7 graphics memory modules are aimed at high-end gaming and AI inference, boasting speeds of 48 Gb/s per pin—three times the bandwidth of the current SK Hynix GDDR6 modules.
The next-gen HBM4, LPDDR6, and GDDR7 memory technologies from Samsung and SK Hynix will be unveiled at the International Solid-State Circuits Conference (ISSCC) in San Francisco this February. Samsung is anticipated to start delivering HBM4 modules to Nvidia in the second quarter, on an expedited timeline at double the current price, likely leading to more expensive Nvidia GPUs by 2026.
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