A special modified version of the NVIDIA GeForce RTX 5090 has surfaced, featuring a massive 128GB of custom memory, designed specifically for AI computing. This rare edition carries a staggering price tag of $13,200 per unit, targeting professional and enterprise-level applications.
Compared to the standard RTX 5090 with 32GB of GDDR7, this AI-focused variant packs four times the memory. The upgrade required advanced engineering techniques to expand capacity, which explains why the price is over four times higher than the $1,999 base model.
The standard RTX 5090 is built on the Blackwell architecture, equipped with 21,760 CUDA cores, 680 Tensor Cores, and memory bandwidth of 1,792 GB/s. However, this 128GB version is tailored for demanding AI workloads such as large-scale model training, where huge memory pools are essential. Reports describe it as a limited prototype engineered by Chinese developers to meet the fast-growing AI market demand.
At $13,200, the card is priced in line with the RTX 6000 Pro, which offers 96GB VRAM at $10,000. The 128GB RTX 5090 provides 33% more memory at roughly 33% more cost, making it an appealing option for businesses that prioritize raw AI performance. Experts believe this model is more suitable for AI servers and workstations rather than gaming.
This memory upgrade significantly boosts AI efficiency, particularly in high-bandwidth operations like token generation. The RTX 5090 is capable of delivering up to 3,352 TOPS in AI performance, setting a new bar above its predecessors.
For everyday users, renting GPUs through cloud services such as RunPod may remain the more practical and cost-effective option compared to owning such expensive hardware outright.
Final Thought
The RTX 5090 128GB edition signals NVIDIA’s push into specialized AI hardware, where memory capacity is just as critical as processing power. While gamers may never see this model on retail shelves, it highlights how AI-driven innovation is reshaping the GPU market and redefining what “high-end” truly means.
Source: wccftech
