Alienware AW3225DM — 32" Curved QHD Gaming Monitor
Immersive 1500R curve, 180Hz speed, 1ms response, and HDR400 color. Built for gamers who demand next-level performance.
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Go to Tracking PortalGood quality and works as described. Feels durable, but shipping took longer than expected.
This is a terrific product! The item arrived early, it looks to be in perfect condition and I think that I received an incredible and limited run item. As a fan of the Fallout Franchise, I find this to be an excellent collector’s item and a wonderful addition to my collection.
The shipment was fast, and the package was well-packaged. The description of the item I received matched exactly what I had ordered. If another product I’m interested in is sold by this seller, I’ll definitely purchase from them again.
For the price, this keyboard is a solid deal. Bluetooth and 2.4G connection work well, and the 68-key layout is great for typing. The mechanical switches feel nice, but the build quality feels a bit cheap. Still, for what you pay, it gets the job done.
Easy install. Used all 3 thermal pads for a tight fit. Instant improvement to performance in the PS5.
RAM was like new, high quality, and arrived quickly. Seller was courteous and responded promptly to my inquiries. Pricing was below market for practically new sticks. Though I could tell the package had been opened once before, The RAM looked untouched as if it had never been removed from package.
Shipped and arrived very fast and in perfect condition! Would definitely buy again and recommend this seller! 💜🖤
The mouse arrived within 3 weeks.
Really like the clicking feeling you get. Seems to be well built, good quality. The infinity wheel (or whatever it's called) is very useful, especially for productivity work.
The software isn't great though.
4/5
My coffee taste so much better these days:)
I haven’t had any issues with these cards so far. The quality seems great. The seller shipped quickly and without any hassle. 4/5
Does exactly what it’s supposed to.
The material feels durable and holds cables securely in place.
Overall, I’m satisfied — fast shipping and a reliable seller.
Solid 4/5.
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NVIDIA’s latest graphics card series, the 5000 series, is now available, pushing the boundaries of gaming and computational power to new levels. With incredible performance upgrades, improved energy efficiency, and impressive hardware architecture, these GPUs promise to deliver a major leap forward for both gamers and professionals in AI, rendering, and other intensive computational tasks. In this article, we will take a deep dive into the performance of these new GPUs, their price-to-performance ratio, and how they stack up against the previous 4000 and 3000 series, with a particular focus on their stream processors (Compute Units or CUs), transistor size, and key architectural differences.
The 5000 series from NVIDIA is built on the cutting-edge Ada Lovelace architecture. These GPUs promise substantial gains over previous generations, such as the Ampere-based 3000 series and Ada Lovelace-based 4000 series, with enhanced features like better ray-tracing capabilities, increased performance per watt, and superior AI-driven rendering.
Key Models:
One of the most significant performance upgrades in the 5000 series is the increase in the number of Stream Processors or CUDA Cores (CUs). These cores are responsible for executing the parallelizable tasks that make GPUs excel in rendering, AI training, and scientific calculations.
In the new 5000 series, the number of CUs has risen dramatically. For instance, the RTX 5090 includes 16,384 CUDA cores, compared to the RTX 4090, which had 10,752 cores. This increase translates to faster parallel processing, which directly impacts tasks like real-time ray tracing, 3D rendering, and AI workloads.
A higher number of CUDA cores means more processing power for intensive tasks like video editing, deep learning, and running 3D simulations. This is particularly important as GPUs are increasingly becoming the primary processor for machine learning and AI applications.
One of the most notable features of the 5000 series is the improved energy efficiency. The Ada Lovelace architecture has been optimized to deliver more power with less energy consumption compared to the previous series. The 5000 series GPUs offer enhanced performance per watt, allowing users to enjoy higher clock speeds and more CUs without significant increases in power consumption.
For instance, the RTX 5090 boosts performance by up to 40% over the RTX 4090, yet with a slightly lower TDP (Thermal Design Power). This allows for a better balance between power consumption and raw performance, ensuring that the GPUs run cooler and more efficiently, which is crucial for both high-end workstations and gaming systems.
When evaluating the performance-to-price ratio, the RTX 5000 series offers substantial performance improvements over its predecessors. However, at their launch, they come with a significant price tag, pushing them out of reach for casual gamers. For example, the RTX 5090 starts at around $1,699, while the RTX 4090 was priced at $1,499 at launch.
However, for professionals and enthusiasts who demand the highest levels of performance, the cost is justified by the added power. The RTX 5000 series is particularly suited for workloads that require immense computational power, like AI model training, scientific simulations, and real-time video rendering. For casual gamers, the RTX 4000 series may be a more balanced choice, delivering excellent performance at a slightly lower price point.
The RTX 3000 series was revolutionary when it launched, introducing NVIDIA's Ampere architecture. It was known for its great performance and strong focus on ray-tracing technology. The RTX 3080 and RTX 3090 were popular choices, delivering solid gaming and computational performance for their price. However, the 3000 series was limited in its ray-tracing capabilities and energy efficiency, especially when compared to the 5000 series.
While the RTX 4000 series also uses the Ada Lovelace architecture, the improvements in the 5000 series take the technology to new heights. Ray tracing has become even more efficient, and DLSS 3.0 (Deep Learning Super Sampling) has evolved, resulting in smoother gaming experiences and faster render times.
The major difference between the 4000 and 5000 series is the sheer increase in CUDA cores and AI processing power. The 5000 series has significantly more CUDA cores, which directly translates to better performance in tasks that demand computational power.
The die size and transistor count have also evolved dramatically. The RTX 5090 has a die size of 864mm², significantly larger than the RTX 4090 at 612mm². This increase in die size allows for more processing power, higher clock speeds, and more CUDA cores, which results in the massive performance gains seen in the new 5000 series.
Moreover, with the increase in transistor count, the RTX 5090 sees a jump to 45.5 billion transistors, compared to 28 billion in the RTX 4090. This boost in transistor count is largely responsible for the enhanced efficiency of the 5000 series, with improvements in both raw performance and energy efficiency.
The NVIDIA 5000 series brings a huge leap forward in terms of raw power, energy efficiency, and versatility. With more CUDA cores, larger die sizes, and better AI processing capabilities, these GPUs are clearly designed for users who require cutting-edge performance, whether in gaming, AI, or professional rendering applications. However, the high price point may make them less accessible for the average consumer. For most gamers, the RTX 4000 series still offers excellent value, providing great performance for a lower cost.
Ultimately, the 5000 series is a powerhouse for professionals and high-end enthusiasts who need the most advanced features in GPU technology. If you're a gamer looking for performance at a more affordable price, the 4000 series still remains an excellent choice. However, if you demand the best of the best, the RTX 5000 series delivers unmatched power, with future-proofing capabilities for the most demanding applications and workloads.
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