Things You Realize As Soon As You Buy an RTX 50 Series GPU

Summary

The video discusses the challenges and disappointments of the Nvidia RTX 50 series, from persistent connector issues that affect connectivity and safety, to the controversial use of AI for FPS boosts that fails to match expectations. It critiques Nvidia's incremental changes in GPU technology, drawing comparisons to Apple's product cycles, and highlights the growing gap between promised performance and reality. Additionally, the video touches on the inflated pricing of GPUs, despite lower MSRP announcements, and the dilemma of choosing between Nvidia and AMD for gaming and editing tasks, ultimately questioning the value of the RTX 50 series.

Takeaways

• 😀 The RTX50 series, though highly anticipated, faces criticism for several unresolved issues that persist from the RTX40 series.
• 😀 One of the major issues with the RTX50 series is the PCI5 connector, which continues to experience problems like melting and weak connections, impacting GPU performance and safety.
• 😀 The AI-powered performance improvements, like those in DLSS, have led to significant backlash. While FPS boosts were promised, the trade-off is degraded image quality.
• 😀 Nvidia's marketing strategy for the RTX50 series, promising performance similar to the RTX4090, was based on AI-enhanced FPS rather than raw hardware power, leading to disappointment among users.
• 😀 The introduction of the RTX50 series seems to follow a trend where Nvidia is becoming more like Apple—releasing new products every 2 years with minimal substantial improvements.
• 😀 The evolution of GPUs from the GTX to the RTX20, 30, 40, and 50 series shows a decline in tangible new features, with the 50 series offering mostly incremental performance boosts and AI improvements.
• 😀 Nvidia's reliance on AI upscaling technologies like DLSS is seen as a workaround for poor game optimization rather than a real solution to hardware limitations, frustrating gamers.
• 😀 Pricing for the RTX50 series is lower compared to the previous generation, but market reality is different, with prices soaring above MSRP in some regions, leaving consumers feeling deceived.
• 😀 Despite the price increase and limited improvements, many users still buy into the RTX50 series because of brand loyalty, but the average consumer may hesitate due to high costs.
• 😀 Although AMD offers good competition in gaming performance, Nvidia’s CUDA cores remain essential for many professional editing programs, making it a difficult choice for creators and editors.

Q & A

Why is the video being made now, even though the RTX 50 series launched months ago?

The video is being made now because the creator recently bought an RTX 570, and wasn't sent a GPU for free. By the time the new series reaches the creator's country, the RTX 60 series will likely already be out.

What problem was encountered with the PCI5 connector on the RTX 40 and RTX 50 series?

The main issue with the PCI5 connector was that it began melting over time, causing safety concerns. Even after the release of the RTX 50 series, the problem persisted, leading to complaints from users.

What happened when the creator tried to use the RTX 570 with the new PCI5 connector?

After building the PC, the creator faced a connectivity issue where the video card wasn't making proper contact, resulting in a black screen. The problem was fixed by using an adapter to connect the GPU with an 8 + 8 pin PSU cable.

How did Nvidia's marketing of the RTX 570 cause disappointment?

Nvidia marketed the RTX 570 as having better performance than the RTX 490, but it turned out that the performance boost was due to an AI-powered FPS increase, not actual raw power, leading to backlash from consumers.

What is DLSS, and how does it relate to the RTX 570's performance?

DLSS (Deep Learning Super Sampling) is a technology that uses AI to increase frame rates by reducing image quality. In the case of the RTX 570, it was marketed as outperforming the RTX 490, but in reality, the AI-generated FPS was not a true performance improvement.

Why does the creator compare Nvidia to Apple in terms of its product updates?

The creator compares Nvidia to Apple because both companies release new generations of products regularly, but the changes are often incremental and not always noticeable. With each new RTX series, the improvements feel less significant, much like Apple's yearly iPhone updates.

What is the creator's opinion on Nvidia's approach to game optimization?

The creator feels that Nvidia's reliance on DLSS and upscaling technologies is a shortcut to cover up poorly optimized games. This approach hides underlying optimization issues rather than solving them, leading to inefficient games that demand stronger hardware.

What changes in the RTX 50 series were highlighted in terms of pricing?

The RTX 50 series was priced lower than its predecessor, the RTX 40 series, making it more affordable. However, in some regions, the actual price was much higher than the MSRP due to resellers' price markups.

Why did the creator choose the RTX 570 despite the price increase?

The creator chose the RTX 570 because they needed a more powerful GPU for editing software, and the newer CUDA cores offered better performance. They also trusted Nvidia as a loyal customer, having previously owned the GTX 1060 and RTX 3060.

Why didn't the creator consider AMD GPUs for this build?

The creator didn't consider AMD GPUs because many editing programs rely on Nvidia's CUDA cores for better performance, which is why they preferred an Nvidia card for their build.