RTX 5070 at €599 and RTX 5060 Ti at €357, a double opportunity from Gigabyte: 12GB VRAM for local AI users
On the market, two offers from Gigabyte are available based on the NVIDIA Blackwell architecture, distinguished by their price cut and video memory capacity—a parameter increasingly central not only for gaming but also for those working with local artificial intelligence models.
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Gigabyte GeForce RTX 5070 EAGLE OC ICE SFF 12G Graphics Card - 12GB GDDR7, 192 bit, PCI-E 5.0, 2587 MHz Core Clock, 3 x DP 2.1a, 1 x HDMI 2.1b, NVIDIA DLSS 4, GV-N5070EAGLEOC ICE-12GD
Price: €599 (down from €660)
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Gigabyte GeForce RTX 5060 Ti WINDFORCE 8G Graphics Card - 8 GB GDDR7, 128 bit, PCI-E 5.0, 2572 MHz Core Frequency, 3 x DisplayPort, 1 x HDMI, GV-N506TWF2-8GD
Price: €357
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The Gigabyte GeForce RTX 5070 EAGLE OC comes equipped with 12GB of GDDR7 memory on a 192-bit bus, with a core clock frequency reaching 2587 MHz in OC mode. Connectivity includes PCI-E 5.0 for the slot, with video outputs consisting of 3 DisplayPort 2.1a and 1 HDMI 2.1b, sufficient for multi-monitor configurations, even at high resolutions. The SFF (Small Form Factor) designation indicates a card designed for compact cases, while the ICE cooling system aims to maintain low temperatures even under prolonged load. The price drops from €660 to €599, a discount that makes a GPU designed for 4K gaming and creative workload acceleration more accessible.
Support for NVIDIA DLSS 4 allows for AI-based upscaling to increase frame rates without sacrificing visual quality, a technology that leverages the computing power of the Tensor Cores present in the GPU.
The 5060 Ti, on the other hand, offers 8GB of GDDR7 memory on a 128-bit bus, with a core frequency of 2572 MHz, complying with PCI-E 5.0 standards, and a panel of outputs consisting of 3 DisplayPort and 1 HDMI. It is offered at €357, positioning itself as a more economical alternative for those seeking solid performance without targeting the highest-performing segment of the RTX 50 range.
Video memory capacity not only impacts gaming performance but becomes essential for those using local generative AI applications. Tools like open-source language models (LLMs) run via software like Ollama or LM Studio, or image generators based on Stable Diffusion, fully load the model parameters into the GPU's VRAM during processing.
With 12GB of GDDR7, the RTX 5070 enables the execution of medium-sized language models (up to about 7-13 billion parameters in quantized version) without relying on system RAM, which is much slower than the dedicated memory of the graphics card. Insufficient VRAM forces the system to offload part of the model onto traditional RAM, leading to a significant speed drop in text or image generation. The 8GB of the RTX 5060 Ti WINDFORCE remains adequate for lighter models or for AI-assisted photo editing tasks, but sets a stricter limit concerning the ability to handle complex projects or large datasets.
Those who plan to use the graphics card also for training small custom models, processing videos with AI upscaling tools, or running local chatbots without relying on the cloud, find in the greater memory capacity of the RTX 5070 a tangible advantage in terms of compatibility with larger models and future operational flexibility.