GIGABYTE CEO tells NVIDIA to look at ‘GIGABYTE’ revenue

NVIDIA’s RTX 50 supply questions are now tied to one bottleneck: GDDR7 availability. NVIDIA has also told media that GeForce demand is strong, while memory supply is constrained , and that shipments of all GeForce SKUs continue.

During CES 2026, Gigabyte CEO Eddie Lin described a simple way NVIDIA could decide which cards get the most allocation when memory is limited. The idea is to prioritize products that generate more gross revenue per gigabyte of VRAM, then reduce output for products that return less revenue for the same memory.

Lin gave examples to show how the math can steer decisions. An $300 8GB card works out to about $37.5 per GB. An $400 8GB card works out to $50 per GB. A $500 16GB card drops to about $31.25 per GB, even before board cost differences are considered.

“They cannot produce only high-end or low-end [products]… but they can, for example, they have 1, 2, 3, 4, 5, five segments. They focus on 1, 3, and 5, and reduce the percentage on 2 and 4, because on 2 and 4, the revenue contribution per gigabyte of memory is lower. They will calculate how much revenue [each segment] contributes per gigabyte of memory.”

Lin went on to share the example of a $300 GPU (like the RTX 5060), for which “the memory contributes $35 per GB of revenue, whereas for a $400 8GB GPU, that product would contribute $50 per GB of memory. For a $500 [card] with 16GB of memory, that puts you at only $32 of revenue per GB, then the [contribution] is lower.”

— Tom’s Hardware citing Eddie Lin

Basically, this is what was reported earlier, since the interview was conducted at CES and the prioritization rumors appeared later . NVIDIA did, in fact, listen to him.

Lin also said Gigabyte is still receiving memory bundled with GPUs from NVIDIA . That matters because bundling shields board partners from having to source GDDR7 on the open market, where pricing and availability can be unstable.

Nothing here is an official SKU-by-SKU roadmap from NVIDIA. It is still a framework from a board partner executive, paired with NVIDIA’s public line that supply is constrained by memory.

Tom’s Hardware’s chart also assumes MSRP, which we know is not accurate, especially for the RTX 5090, as the card is now selling for nearly twice that. If we want to be precise, that would mean roughly twice the revenue.

Source: Tom’s Hardware

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