Skip to main content

$2000 Nvidia Geforce RTX 5090 gets tested on creative software and AI and obliterates absolutely everything in its path

Web Hosting & Remote IT Support
  • Nvidia's fastest GPU is unsurprisingly expensive and power hungry, just like its predecessor
  • It is also extremely fast and leaves the RTX 4090 and AMD's fastest GPU, well behind
  • Early benchmarks show there's far more potential once drivers and updates are rolled out

Nvidia’s latest flagship GPU, the GeForce RTX 5090, was announced at CES 2025 and has just gone on sale, although Nvidia has warned that it expects to sell out quickly. Built on the Blackwell architecture, the RTX 5090 is a successor to the RTX 4090, and features 32GB of VRAM, increased CUDA core counts, and improved memory bandwidth.

Puget Systems, which previously tested the GeForce RTX 4090, has just benchmarked the RTX 5090 across various creative applications, including Adobe Premiere Pro, After Effects, and DaVinci Resolve and as you might expect, the results were impressive.

In Premiere Pro, Puget Systems found the RTX 5090 was slightly faster than the RTX 4090 by about 9% in terms of overall performance. In Blackmagic’s DaVinci Resolve Studio, the GPU had a 17% lead over the 4090 and 35% over the 3090 Ti. Puget noted however, that the “5090 was run on a slightly different version of Resolve than the rest of the cards - a review version designed to be fully compatible with the 50-series card and which we expect to be incorporated into the application in the near future.”

Obliterating AMD

GeForce RTX 5090 benchmarks

(Image credit: Puget Systems)

Adobe After Effects also benefits from the increased power of the RTX 5090.

According to Puget Systems, the GPU recorded a "massive 35% gen-on-gen improvement over the RTX 4090" in 3D rendering tasks, making it a solid choice for motion graphics professionals. Elsewhere, Unreal Engine benchmarks suggest the RTX 5090 leads the RTX 4090 by 17% overall. In rendering applications such as Blender and V-Ray, "the RTX 5090 is a massive 38% faster than the 4090 and three times as fast as the 3090 Ti."

The RTX 5090 outperformed AMD’s fastest consumer GPU, the Radeon RX 7900 XTX, across multiple tests, although AMD’s card faced some challenges. In Adobe After Effects, Puget Systems observed that the 7900 XTX "currently struggles with the 'Advanced 3D' renderer, with the 7900 XTX half as fast as even the 2080 Ti." It was a similar story in Unreal Engine where "AMD struggles with ray tracing, seeing a much larger performance drop than Nvidia when enabling the feature."

Despite the solid benchmarks, there are some early software compatibility issues. Puget Systems noted that "at present, the RTX 5090 is not supported in either Redshift (Cinebench) nor Octanebench" and has known performance problems in V-Ray’s CUDA rendering. Nvidia is expected to resolve these issues with future driver updates.

With a launch price of $2,000, the RTX 5090 is obviously positioned as a premium option for users who need the highest level of performance. As Puget Systems concludes, "if you need the most powerful consumer GPU ever made, this is it."

You might also like



via Hosting & Support
Labels:

Comments

Post a Comment

Web Hosting
Remote IT Support
Sites & Socials
Computing Handbook - $9.95

Popular posts from this blog

Microsoft, Google, and Meta have borrowed EV tech for the next big thing in data centers: 1MW watercooled racks

Web Hosting & Remote IT Support Liquid cooling isn't optional anymore, it's the only way to survive AI's thermal onslaught The jump to 400VDC borrows heavily from electric vehicle supply chains and design logic Google’s TPU supercomputers now run at gigawatt scale with 99.999% uptime As demand for artificial intelligence workloads intensifies, the physical infrastructure of data centers is undergoing rapid and radical transformation. The likes of Google, Microsoft, and Meta are now drawing on technologies initially developed for electric vehicles (EVs), particularly 400VDC systems, to address the dual challenges of high-density power delivery and thermal management. The emerging vision is of data center racks capable of delivering up to 1 megawatt of power, paired with liquid cooling systems engineered to manage the resulting heat. Borrowing EV technology for data center evolution The shift to 400VDC power distribution marks a decisive break from legacy sy...
Post a Comment
Read more

Google’s AI Mode can explain what you’re seeing even if you can’t

Web Hosting & Remote IT Support Google’s AI Mode now lets users upload images and photos to go with text queries The feature combines Google Gemini and Lens AI Mode can understand entire scenes, not just objects Google is adding a new dimension to its experimental AI Mode by connecting Google Lens's visual abilities with Gemini . AI Mode is a part of Google Search that can break down complex topics, compare options, and suggest follow-ups. Now, that search includes uploaded images and photos taken on your smartphone. The result is a way to search through images the way you would text but with much more complex and detailed answers than just putting a picture into reverse image search. You can literally snap a photo of a weird-looking kitchen tool and ask, “What is this, and how do I use it?” and get a helpful answer, complete with shopping links and YouTube demos. AI Eyes If you take a picture of a bookshelf, a plate of food, or the chaotic interior of your junk...
Post a Comment
Read more

Passing the torch to a new era of open source technology

Web Hosting & Remote IT Support The practice of developing publicly accessible technologies and preventing monopolies of privately-owned, closed-source infrastructure was a pivotal technological movement in the 1990s and 2000s. The open source software movement was viewed at the time as a form of ‘digital civil duty’, democratizing access to technology. However, while the movement's ethos underpins much of today’s technological landscape, its evolution has proven to be a challenge for its pioneers. Hurdles Facing Young Developers Open source models successfully paved a path for the development of a multitude of technologies, cultivating a culture of knowledge sharing, collaboration , and community along the way. Unfortunately, monetizing such projects has always been a challenge, and ensuring contributors are compensated for their contributions working on them, even more so. On the other hand, closed-source projects offer greater control, security, and competitive advant...
Post a Comment
Read more