Framework's new RTX 5070 12GB graphics module costs a whopping $1,199 — 72% more expensive than $699 8GB version, says pricing is beyond its control

Nvidia silently launched a new 12GB version of its RTX 5070 mobile GPU yesterday, featuring 24Gb (3GB) GDDR7 chips instead of the existing 16Gb (2GB) ones. That took the memory throughput from 384 GB/s to around 576 GB/s on an otherwise unchanged GPU. Apparently, that upgrade is worth an additional $500, at least, according to Framework's pricing.

Coinciding with the GPU's launch, the modular hardware manufacturer immediately announced a new graphics module for its Framework Laptop 16. It's available for pre-order right now for $1,199, while the older 8 GB graphics module costs $699. That's an almost 72% price increase for just 50% more VRAM (or bandwidth). To put that into perspective, some 5070 Ti laptops only cost $1,300 a couple of months ago.

(Image credit: Future)

The 12 GB 5070 mobile is otherwise identical to the 8 GB model — they share the same 4,608 CUDA core count and maximum TGP of 100W, with a boost clock of 2.4 GHz. The value Framework adds comes from the modularity, serving as a drop-in upgrade for existing hardware. Since literally no other brand offers similar graphics modules or add-in cards, it's a difficult product to compare directly. More rationally speaking, however, there are obviously better deals to be had, but Framework has clarified that the high prices are beyond its control.

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The reason behind the price increase is pretty easy to understand. GDDR7 is already expensive, so using higher-density 3 GB chips (that were likely meant for a 50-series Super SKU at some point) is sure to add to the cost. And we're amidst an AI boom right now that has caused a memory shortage worldwide, which further exacerbates the situation.

While replying to a comment on the original announcement post, the company even warned that once its existing allocation of GDDR7 runs out, even the 8 GB RTX 5070 mobile will be restocked at a higher cost. Such is the reality of the times we're living in — the major memory manufacturers have sold their production lines to serve data center needs, so regular consumers are left with slim (and expensive) pickings.

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