High End GPUs for Stable Diffusion - Nvidia RTX and Apple M3 - Best Graphics Cards in Local Installs
TLDRThis video offers a comprehensive guide to high-end GPUs suitable for stable diffusion in local systems during late 2023. It highlights the Nvidia RTX 4000 series as professional GPUs with small form factors and significant VRAM, making them ideal for complex workflows and model training. The video also discusses the RTX A6000, which boasts 48 GB of VRAM and the ability to link two units for up to 96 GB of VRAM. The presenter mentions the availability of Nvidia A100 and H100 accelerators on Amazon and introduces the M3 MacBook Pro as a powerful alternative with a user-friendly interface for Apple systems. The video further explores various Nvidia GPUs, including the RTX 3090 and RTX 4080, and their performance for stable diffusion tasks. It concludes with promising news about AMD GPUs, which have shown significant performance improvements when used with Microsoft's Olive system, suggesting a potential shift in GPU recommendations for the future.
Takeaways
- 🚀 The Nvidia RTX 4000 Ada generation GPU is a small form factor professional GPU with 20 GB of VRAM, suitable for stable diffusion workflows.
- 🎁 Holiday season offers extended return times, allowing for purchases as gifts with returns accepted until January 31st.
- 💰 The Nvidia RTX a6000 is a powerful professional GPU with 48 GB of VRAM, essential for training and inferencing stable diffusion models.
- 🔗 NVLink allows linking two RTX a6000 GPUs for up to 96 GB of VRAM, which is beneficial for intense model work.
- 🛒 The RTX 4000 and RTX a6000 can be found on Amazon with various sellers, and the video provides guidance on navigating the platform.
- 💡 The Nvidia A100 and H100, 80 GB accelerators, are available on Amazon for those who require high-performance computing.
- 📚 The presenter offers courses on stable diffusion, including coverage of sdxl, comy UI, and compatibility with Windows and Nvidia cards.
- 🍎 The M3 MacBook Pro from Apple is capable of running stable diffusion with software that provides a decent user interface.
- 💻 For Apple users, it is recommended to get a model with 64 GB or 128 GB of unified memory for optimal stable diffusion performance.
- 🔍 The RTX 3090 24 GB, previously the most powerful GPU, is still a good alternative for stable diffusion with its large VRAM and fast memory.
- ⏰ There is speculation about a new addition to the RTX 4080 series, but it's advised not to delay purchases due to limited supply and high demand.
Q & A
What is the main topic of the video?
-The video discusses recommendations for high-end GPUs suitable for stable diffusion in local systems during late 2023.
Why is the Nvidia RTX 4000 small form factor GPU highlighted in the video?
-The Nvidia RTX 4000 is highlighted because it is a professional GPU with a small form factor, powerful performance, and 20 GB of VRAM, making it suitable for stable diffusion workflows.
What is the significance of having a professional GPU with a mini display port?
-Professional GPUs with mini display ports are beneficial because they typically come with fewer fans, reducing noise and heat, and are designed to support high-resolution displays, which is useful for stable diffusion tasks.
What is the advantage of the Nvidia RTX a6000 GPU for stable diffusion?
-The Nvidia RTX a6000 GPU offers 48 GB of VRAM, which is essential for tasks such as training stable diffusion models or performing inferencing, providing more memory and higher performance for these intensive operations.
Why might someone consider linking two Nvidia RTX a6000 GPUs together?
-Linking two RTX a6000 GPUs together using NV link allows for up to 96 GB of VRAM, which is fantastic for handling any type of intense model work with stable diffusion that requires substantial memory.
What is the current status of the RTX 490 GPUs?
-The RTX 490 GPUs have seemingly disappeared from the market, and the video suggests considering alternatives like the RTX 4000 or RTX a6000 due to their limited supply.
What is the recommended MacBook Pro model for running stable diffusion?
-The M3 MacBook Pro from Apple is recommended, as the M3 chips are extremely fast and powerful enough to run stable diffusion, with software now available that provides a decent user interface for the Apple system.
What is the significance of unified memory in Apple's M3 MacBook Pro for stable diffusion?
-Unified memory in the M3 MacBook Pro allows for efficient handling of tasks like stable diffusion, as it provides a large pool of memory (64 or 128 GB) that can be accessed by all parts of the system, which is not commonly available in Windows platforms.
Why might someone choose the RTX 3090 24 GB for stable diffusion?
-The RTX 3090 24 GB is a good alternative due to its massive VRAM and super-fast GDDR6X memory, which is useful for stable diffusion tasks that require high memory bandwidth.
What is the current situation with the RTX 4080 and RTX 4090 GPUs in the United States and the United Kingdom?
-The RTX 4080 and RTX 4090 GPUs are in short supply, with limited options available on Amazon in the United States. In the UK, there are Black Friday deals for the RTX 4080, and the RTX 490 is available but at higher prices than before.
What development from AMD is mentioned as potentially offering more choice for GPUs next year?
-AMD's development using the Microsoft Olive system to accelerate the 7900 XT X, which provided a significant boost in performance, suggests that AMD GPUs might become more viable options for stable diffusion in the future, especially if this technology is widely implemented and user-friendly.
Outlines
🚀 GPU Recommendations for Stable Diffusion in Late 2023
This paragraph discusses various GPU recommendations suitable for stable diffusion tasks in November and December of 2023. It highlights the Nvidia RTX 4000 small form factor GPU, emphasizing its professional grade and small size, which is capable of fitting into standard PC cases. The paragraph also mentions the RTX a6000, a powerful professional GPU with 48 GB of VRAM, ideal for training and inferencing stable diffusion models. Additionally, it touches on the availability of the Nvidia A100 and H100 accelerators on Amazon, and the potential for covering stable diffusion on Apple systems in future courses.
💻 MacBook Pro M3 and GPU Options for Stable Diffusion
The second paragraph focuses on the MacBook Pro with the M3 chip, noting its high speed and capability to run stable diffusion effectively. It suggests getting a model with 64 or 128 GB of unified memory for optimal performance. The paragraph also compares the value of the MacBook Pro to equivalent Windows laptops for workstation purposes. It then discusses the Nvidia Quadro RTX a4500 and a5000, highlighting their VRAM and linking capabilities. The Ada generation GPUs, such as the RTX a6000, are also mentioned, with a note on their high performance and VRAM capacity. The paragraph concludes with a brief mention of the RTX 480 and 3090, and the potential for AMD GPUs to become more viable options in the future.
💰 GPU Pricing and Market Trends for Stable Diffusion
The third paragraph delves into the pricing and market trends of GPUs, particularly the RTX 490, which is reported to be sold out on the Amazon site with limited stock coming in. It discusses the pricing of various GPUs, including the MSI RTX 490 liquid-cooled model and the MSI Ventus. The paragraph also addresses the elevated prices of GPUs and the expectation that they may remain high for some time. It concludes with positive news from AMD, where the 7900 XT X GPU showed a significant performance boost when used with Microsoft's Olive system, suggesting a potential shift in GPU recommendations in the future.
Mindmap
Keywords
💡Stable Diffusion
💡GPUs
💡Nvidia RTX 4000
💡VRAM
💡Nvidia RTX a6000
💡NVLink
💡MacBook Pro M3
💡Unified Memory
💡Quadro RTX a4500
💡Ada Lovelace Generation
💡RTX 3090
Highlights
The video discusses recommendations for high-end GPUs suitable for stable diffusion in late 2023.
Nvidia RTX 4000, a small form factor Ada generation GPU, is highlighted for its professional performance and compact size.
The RTX 4000 offers 20 GB of VRAM, making it adaptable for larger PC cases with single blower fan for cooling.
Professional GPUs often come with DisplayPort or Mini DisplayPort, unlike gaming GPUs that require multiple fans for cooling.
During the holiday season, extended return times are available, allowing purchases to be returned until January 31st.
The Nvidia RTX A6000 is an Amper generation GPU with 48 GB of VRAM, ideal for training and inferencing stable diffusion models.
The RTX A6000 can be linked with another using NV link, providing up to 96 GB of VRAM for intense model work.
The A100 and H100, 80 GB accelerators from Nvidia, are available on Amazon and offer high performance for specific tasks.
The presenter offers courses on stable diffusion, covering sdxl, comy UI, and compatibility with Windows and Nvidia cards.
The M3 MacBook Pro from Apple is noted for its speed and capability to run stable diffusion with new software for a decent user interface.
For Apple systems, it's recommended to get a model with 64GB or 128GB of unified memory for optimal performance.
The Quadro RTX A4500 is a powerful GPU with 20 GB of VRAM, suitable for stable diffusion and available at competitive prices.
The Ada generation GPUs, such as the RTX A6000, are very powerful but do not support NV link capabilities for linking multiple GPUs.
The RTX 480 is available in limited supply in the US, with potential high demand due to the 4090 being banned in China.
The RTX 3090 24 GB, once the most powerful GPU, is still a good alternative for stable diffusion with its large VRAM and fast memory.
In the UK, Black Friday deals for the RTX 4080 are available, offering good value despite the 490 being a better value previously.
MSI RTX 490, a liquid-cooled model, offers good value in the UK despite recent price increases.
AMD's 7900 XT X has shown a significant performance boost when accelerated by Microsoft Olive system, hinting at potential future recommendations.