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Forget RTX 5070 Super Rumors: NVIDIA's Massive 96GB GPU Steals the Show (Sort Of)

Published: at 09:46 PM

News Overview

🔗 Original article link: Forget the rumoured 18 GB RTX 5070 Super, this utterly epic 96 GB Nvidia GPU will solve all your VRAM worries—kinda

In-Depth Analysis

The article focuses on a leaked Geekbench result that shows an NVIDIA GPU boasting an impressive 96GB of memory and 24,576 CUDA cores. This is a significant leap in memory capacity compared to current high-end consumer cards. While the article doesn’t explicitly name the GPU, it strongly suggests it’s a workstation-class card based on NVIDIA’s upcoming Blackwell architecture.

Key details highlighted in the leak:

The article contrasts this leak with ongoing rumors about an RTX 5070 Super, which is expected to have a more modest 16GB or 18GB of VRAM. The author emphasizes that the 96GB GPU is not a replacement or alternative to the 5070 Super, as it targets a completely different market segment.

Commentary

This leaked GPU confirms NVIDIA is pushing the boundaries of GPU technology, but it’s crucial to contextualize it. A 96GB workstation GPU isn’t designed for gaming. It is geared towards professionals in fields like AI, data science, and high-end content creation, where massive datasets and complex simulations require vast amounts of memory.

The pricing of such a card will likely be astronomical, easily exceeding the cost of an entire high-end gaming PC. The leak indicates NVIDIA’s commitment to the professional market, offering solutions for memory-intensive workflows. While gamers might dream of having such a powerful card, they shouldn’t expect to see anything remotely similar in a consumer-grade GPU anytime soon. A focus remains on optimizing VRAM utilization and performance efficiency for the gaming market, rather than simply increasing capacity.

The existence of such a potent workstation card could eventually trickle down to consumer products, potentially influencing the design and capabilities of future generations of gaming GPUs. However, that impact is likely years away.


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