NVIDIA launches 12GB 5070 laptop GPU.
New variant uses 24Gb G7 memory.
Laptops expected to ship starting June.

Atlas AI
NVIDIA has announced a new 12GB version of its 5070 GPU for laptops, expanding its mobile graphics lineup alongside the existing 8GB configuration. The company disclosed the new variant in a blog post tied to its Game Ready Drivers, and said initial shipments are expected to begin in June.
NVIDIA said laptop makers are expected to bring the 12GB 5070 Laptop GPU to select models. The manufacturers named as likely adopters include ASUS, Lenovo, and MSI, though specific laptop SKUs were not detailed.
NVIDIA cites GeForce RTX demand and memory supply limits
NVIDIA linked the move to two factors: strong demand for GeForce RTX products and constraints in memory supply. The company framed the 12GB option as a way to broaden availability while keeping the 8GB model in the market.
According to NVIDIA, the 12GB variant uses 24Gb G7 memory, which differs from the 16Gb G7 memory used in most current GeForce GPUs. NVIDIA said this change is intended to open access to an additional pool of memory supply.
24Gb G7 memory shifts module sizing
NVIDIA said the 24Gb G7 approach enables the use of 3GB memory modules, compared with 2GB modules associated with 16Gb G7 memory. The company also noted that Samsung and Micron have been producing the 16Gb G7 memory more consistently at scale.
The company did not provide pricing for laptops built around the 12GB 5070 configuration. However, industry reports cited in the source material indicate that systems using the 12GB 5070 could be priced close to 5070 Ti laptop models, which can reach up to $2,650.
Performance and pricing remain uncertain
Even with higher VRAM, the overall performance uplift may not scale evenly across workloads. The source material says the new 12GB model is expected to use a different memory bus interface, which could limit speed compared with the 5070 Ti.
That means the practical benefit of moving from 8GB to 12GB may vary by application, particularly if memory bandwidth becomes a constraint. NVIDIA has not confirmed detailed specifications beyond the memory configuration described, leaving final performance and laptop pricing dependent on how manufacturers implement the new GPU in shipping products.


