The video discusses the best NVIDIA GPUs for running AI locally in 2025, recommending options like the RTX 4070 Ti and RTX 5070 Ti for their balance of VRAM and performance, as well as the RTX 3090 for its high VRAM and affordability on the used market. The host also mentions the potential of the upcoming RTX 5080 and 5090 as high-end choices, encouraging viewers to share their thoughts on GPU selections for local AI applications.
In the video, the host discusses the current landscape of NVIDIA GPUs for running AI locally in 2025, highlighting the advancements in AI models and hardware accessibility. The focus is on recommending GPUs that are relatively new and available for purchase, particularly for those interested in local AI applications such as large language models, image generation, and coding tools. The host emphasizes the importance of VRAM and computational speed when selecting a GPU, noting that VRAM is crucial for handling larger models effectively.
The first GPU recommended is the NVIDIA RTX 4070 Ti, which features 16 GB of VRAM. While this amount is considered a minimum for a satisfactory experience in local AI, the host points out that the 4000 series GPUs are capable and provide a good balance for tasks like image generation and small text models. The RTX 4070 Ti is noted for its availability and reasonable pricing on platforms like eBay, making it a solid choice for those starting in local AI.
Next, the host discusses the NVIDIA RTX 5070 Ti, which also has 16 GB of VRAM but benefits from faster DDR7 memory. This GPU is positioned as a strong option for those looking for a single GPU solution, especially for gaming and local AI tasks. However, the host advises against purchasing multiple 5070 Ti cards simultaneously due to diminishing returns in performance gains. The 5070 Ti is praised for its availability and modern technology, making it a good investment for users who want to explore AI locally.
The video then shifts focus to the NVIDIA RTX 3090, which, despite being two generations old, remains a top recommendation due to its 24 GB of VRAM and excellent performance for local AI tasks. The host highlights its affordability on the used market and its durability, making it a great value option. The RTX 3090 is suggested as a starting point for those new to local AI, with the potential to expand to multiple cards for enhanced performance.
Finally, the host mentions the NVIDIA RTX 5080 and 5090 as potential high-end options, particularly if the 5080 with 24 GB of memory becomes available. While the 5090 is currently too expensive for most users, the host believes it will be a strong choice once it becomes more accessible. The video concludes with an invitation for viewers to share their thoughts on GPU choices for local AI and hints at future content exploring modified GPU options that could offer better value.