My GPU Generation Tier List!
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- Опубликовано: 4 май 2024
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Join me as I unveil the ultimate GPU Generation Tier List for 2024! Dive deep into the latest graphics processing units, from groundbreaking innovations to tried-and-true favorites. Whether you're a hardcore gamer, a creative professional, or simply looking to upgrade your rig, this comprehensive breakdown will guide you through the top-tier contenders, helping you make informed decisions for your computing needs in the ever-evolving world of graphics technology.
A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to handle the processing of images and videos efficiently. While its primary function is rendering graphics for displays, modern GPUs have evolved to perform a wide range of computational tasks beyond just graphics.
The core function of a GPU is to perform parallel processing tasks, meaning it can execute multiple operations simultaneously. This parallelism makes GPUs highly efficient at handling tasks that involve heavy mathematical calculations, such as rendering complex 3D scenes, performing scientific simulations, running artificial intelligence algorithms, and mining cryptocurrencies.
At its heart, a GPU consists of thousands of smaller processing units called CUDA cores (in NVIDIA GPUs) or Stream Processors (in AMD GPUs). These cores work together to handle tasks in parallel, dividing the workload among themselves for faster execution.
One of the key features that differentiate GPUs from CPUs (Central Processing Units) is their architecture optimized for parallel processing. While a CPU typically has a few powerful cores optimized for sequential processing, a GPU has numerous simpler cores optimized for parallelism. This design makes GPUs highly efficient for tasks that can be broken down into smaller, independent operations, such as rendering millions of pixels in a 3D scene simultaneously.
In addition to CUDA cores or Stream Processors, a GPU also contains specialized memory, known as VRAM (Video Random Access Memory), which stores data and instructions required for processing graphics. VRAM is optimized for high-speed data access, allowing the GPU to quickly retrieve and manipulate the information it needs to render images and videos.
The processing power of a GPU is often measured in terms of its floating-point operations per second (FLOPS), which indicates how many floating-point calculations it can perform in a given amount of time. Modern GPUs are capable of delivering billions or even trillions of FLOPS, making them indispensable for demanding applications like high-end gaming, scientific simulations, and deep learning.
GPUs are widely used in various industries beyond gaming and entertainment. In scientific research, GPUs accelerate computations for tasks such as climate modeling, protein folding simulations, and drug discovery. In finance, GPUs are used for risk analysis, algorithmic trading, and fraud detection. In healthcare, GPUs accelerate medical imaging processing, DNA sequencing, and drug discovery. They are also extensively used in industries like automotive for autonomous vehicle development, in aerospace for simulations and modeling, and in design and manufacturing for computer-aided design (CAD) and computational fluid dynamics (CFD).
One of the key advancements in recent years is the use of GPUs for artificial intelligence (AI) and machine learning (ML). The parallel processing capabilities of GPUs greatly accelerate the training and inference processes for neural networks, enabling the development of more sophisticated AI models and applications. Technologies like NVIDIA's CUDA and cuDNN libraries have become standard tools for AI researchers and developers, allowing them to harness the power of GPUs for deep learning tasks.
In addition to traditional desktop and server GPUs, there are also specialized GPUs designed specifically for mobile devices, embedded systems, and edge computing. These GPUs are optimized for power efficiency and compact size, making them suitable for devices like smartphones, tablets, drones, and IoT (Internet of Things) devices.
Overall, GPUs play a critical role in modern computing by accelerating a wide range of tasks that require parallel processing and high computational power. Whether it's powering immersive gaming experiences, driving scientific discoveries, or advancing AI research, GPUs continue to push the boundaries of what's possible in computing.
Also, if you're reading this far -babooshka B)
Have a Great Day!
- Proceu
#gpu #budgetgpu #budgetpc 
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10 series was just legendary
The 6750's now relative to price is hotness... took a long time to get there though. Shame price structure killed a lot of these relative to performance... good breakdown
I'd say the Rx 6000 series, especially 16gb variants such as the 6800 non xt is S tier.... it ages like fine wine for 1440p, especially same price point as a 3060 ti - 3080 but still has the same FPS at cheaper Dollar to FPS measurement.
First series of RX was 3xx.
nice vid bro
I have a intel graphics card I like it
Vega 64 actually slightly beat the gtx 1080
Certified hood classic.
Although I wonder where volta would’ve landed if there was anything other than the GV100 core
I would suspect similar to Turing in terms of Raster performance, but probably pretty behind without the RT ASICs
Would love a deep dive into volta. Hope you get a Titan V for very cheap soon
Pascal still better value than most new options, last time I checked, but Intel are looking impressive
Honestly i consider the 30 series a total flop performance increase was there but it was increase from 20series ... Second generation of RT Cards i got a 3070 late 2020 thinking RT might become something nice and ended up never using RT with this Card because it made nicely running games unplayable and before DLSS 3 RT+Upscaling was more like a downgrade ...
My RTX 3070 made me question RT and all those Glorious Nvidia Features and i went with a 7900xtx after
Considering a 4090 delivers less than half as soon as RT is on in 4k (we talk a 2000$ Flagship Card of the third gen of RTX Cards)
Id go so far as saying the whole RTX thing is a fail
In term of games, yeah it's a total flop but in term of media production it's a giant improvement
From rendering an image in blender in 23hours with a 1080 it takes 13 hours with a 2060
Not sure I understand the RX6000 vs 30-series. Both were stupid at launch but because of the crypto boom and a certain pandemic.
That said, once prices came down to normal, at any point on the product stack where is the 30-series a better purchase than it's RX6000 equivalent?
Dang, most reviewers are recommending rx6000 over 40-series until at least 4070super territory... although now the rx6000 is finally starting to sell out.
Rx 6000 should be S tier
10 series isn't S-tier imo, it has poor dx12 performance compared to polaris and turing and no hardware RT will also kill it
He meant for its time. It was amazing price to performance for its generation
@@thomaswest2583 I mean sure for the time but it was like 2 years before games finally started to shift to have dx12 since i also assume it was easier to port from console to pc due to dx12
@unclexbox85 The gtx 1070, 1080, and 1080 ti are still strong cards. Still get pretty good fps. Sure they have fallen behind. But the gpu market bs right now everything is overpriced right now.
@@thomaswest2583 There isnt any BS in market right now, there was some with scalpers pandemic