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GPU Quotes

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"Don't design your own neural networks... use the biggest thing that fits in your GPU and that's mostly the way you choose this."
"It also runs relatively close to real time, so this is running something like five frames per second on a GPU."
"Graphics Processing Units... were created and optimized to work with pictures, images, pixels. What are images? They are matrices of pixels."
"The fact that over years and years and years that graphics processing units got optimized heavily to work with two-dimensional arrays of color information, pixels, it so happens that all this matrix stuff could be used with GPUs as well."
"The GPUs themselves are choked before the VRAM capacity becomes a serious issue."
"There is incredible value in this GPU market right now, especially in the $200 to $500 range."
"Direct storage is for allowing your GPU access to your storage um it's not like uh it's not like a GPU accelerated raid or anything like that."
"The 1080 TI is the GOAT, absolutely no questions about it."
"The 1080ti continues to impress and outmatches the 4060 TI."
"This card will go down as completely legendary."
"These new Navi cards provide some very respectable new options in the mid-range GPU market."
"Has Nvidia reset the GPU landscape with this $700 offering which supposedly outperforms the $1200+ 2080 Ti? Here's my assessment: excellent."
"We are gonna see the same thing happen again: a flood of used GPUs hitting the market when Ethereum goes to proof of stake."
"The pressure map for the GPU is now going to be our reference point for what is the best possible pressure map we've ever seen so that was cool to get out of this as well."
"The 750 is at most of a 770 in terms of what the GPU contains."
"You can think of shaders as functions that run on the GPU."
"It is the first time which GPU became a common acronym to describe 3d accelerated cars."
"GPU overclocking is about squeezing every last frame out of your system."
"Custom frame rate limits ensure optimal performance without unnecessary strain on your GPU."
"Overclocking your GPU can provide another significant boost in performance—highly recommended."
"The 3080 as the new flagship, leaving the 3090 for Titan class."
"RTX 4090 at 450 watts all but 100 confirmed for October launch."
"A resurgence of compute-focused capabilities with RDNA3."
"Alchemist SoC1 leaked by me, by the way, everybody has a bigger die than the RTX 3070 Ti and is based on a 6-nanometer node."
"The GTX 1080 Ti was an exciting product, a very impressive launch."
"Nvidia's 3070 GPU offers once in a decade price-to-performance improvements."
"The RX 6800 is just 11% faster than average."
"It's a 1200 GPU, it runs even on a GT710 above 30 FPS at 720p."
"The 4080 is still an amazing GPU for 4K gaming. It can play all of the games easily above 60 FPS all of the time."
"If you can't power that, get a 3070 or 4070 instead."
"You can switch over to GPU and get the best out of it."
"Harnessing the power of a desktop-class GPU can definitely come in handy."
"The 1070 hits, and it's quite a jump. We're close to 144 FPS here. Seems the 3rd gen is GPU bound, but the 2nd gen is falling behind overall."
"Intel's first generation of discrete GPUs was never going to be profitable... it was always going to take three or four generations before they started to get on their feet."
"I think they have to charge 450 and that's the actual reason they're calling it this 8700 XT."
"We're continuing to make significant purchases of Nvidia gpus and putting a lot of effort into Dojo."
"The 470 Super G CPU benchmarks are starting to leak out, showing the 470 Super almost as fast as an RTX 470 TI."
"Maybe we'll be getting some kind of 7800M out there."
"The 4070 TI super is the first Nvidia GPU where I feel like their full feature set is available without any real issues."
"Those are the best CPU and GPU combos you can look into using for your next PC build."
"The 12100 supports PCI gen 4.0 which is going to allow us to tap into the full speeds of the Intel Arc a580."
"The RX 6800 is the best bang for your buck AMD graphics card there is, period."
"The M2 Chip comes with a 10-core GPU, while the M2 Pro comes with a 16-core GPU."
"Spending the extra cash on upgrading your CPU or GPU would get you more performance."
"Volta was Nvidia's first GPU architecture specifically designed to accelerate AI workloads, like training and inference."
"What do I need it for or more appropriately what am I expecting my GPU to do for me?"
"Game developers can talk more directly to the GPU hardware. This is what is meant by the term lower-level API."
"This GPU is finally coming to line where I thought it needed to be."
"but you do need to have a GPU with av1 capability like my Nvidia RTX 4080"
"More and more workloads can go way faster using a GPU."
"NVIDIA GeForce RTX cards are powered by NVIDIA Turing, the world's most advanced GPU architecture for gamers."
"If you're looking for a GPU right now, and don't really know where to start, look more towards AMD at the moment than Nvidia."
"The laptop is offered with a 4080 and you probably can see a lot of reviews on the 4080 model, however this is the 409, the highest spec you can get in terms of the GPU."
"The Radeon GPU enjoyed a 21% uplift using FSR."
"...I do really like the toxic 6900 XT. I had a lot of fun testing it, trying to extract every last drop from the GPU."
"A GPU typically contains hundreds or thousands of cores that can all perform calculations independently."
"And speaking of GPU, I think Razer’s Blade 14 starts showing where Nvidia’s RTX 4070 makes sense."
"My point is that the 4070 in this smaller laptop performs the same as a 4070 in a bigger laptop. So I think the 4070 just makes more sense in a smaller device like this."
"A shader is really just a callback, but it's a callback that runs on the GPU millions of times for each frame to render a certain part or a certain aspect of the image."
"I typically use my 3060, it's about the same amount of time as a 2080 and it's a little more efficient."
"This card is a perfect fit for this build and in my opinion the best GPU right now for under $400"
"This GPU is based on the same architecture as the Nvidia 500 400 series from 2010 and 11."
"...the aggregate amount of computing capacity per square millimeter on the chip of a GPU is going to vastly outstrip the amount of power per square millimeter on a CPU."
"...if you have a budget to build a computer, just think twice before spending 90% of it on the GPU."
"The renderer will read the data in the scene and then presumably create a list of commands that it'll send to the GPU to actually render the scene."
"The CPU and GPU are both able to work in parallel."
"Now what is very important is uh if you if you go to view resources there if you're doing it for the very first time what you will see is you are not going to get the GPU Ram so you have to go to change runtime type and there you have to select E4 GPU."
"A huge part of the work is building a new GPU rendering engine."
"The progress of semiconductors allowed us to invent the GPU and accelerated computing."
"These little programs that live on the GPU are called shaders."
"GPUs are specifically made for doing parallel computing."
"We are going to be using the GPU to execute our functions as opposed to the CPU."
"This absolute Legend of a GPU was released on the 10th of March, 2017."
"We love this GPU for 1440p gaming and it has enough VRAM to do that in higher-end games."
"For our GPU, you just have to go with what it says in here, it says Gigabyte and it says 4090."
"The overwhelming majority of the GPU chip itself is going to be given over to processing cores."
"It has an explicit as opposed to implicit memory ownership, including also GPU memory ownership."
"Leveraging smart pointers, both unique and shared, allows for granular access to some of the GPU specifications."
"The ambitious card sought to bring a lot to the table in the GPU world."
"We can write tight looping code that's going to run on the GPU in Julia."
"We'll be demonstrating a couple of elements of how you program a GPU in Julia."
"The overall performance of the RTX 3080 is exceptional and it lands it as the best high-performance GPU that you can currently buy."
"It's going to distribute the computing over the GPU, and that's really powerful, right? Because you don't have to write CUDA code."
"The increasing competition in the GPU space, I think we all think that it's long overdue."
"You don't need any configuration and you have free access to GPU."
"Compute shaders are available on all GPUs that you can buy today."
"You can exploit most of the compute power that's available in the GPU through compute shaders."
"Allocating them as an array can let you allocate them more efficiently, because array elements tend to not incur as much wasted memory, due to texture alignment requirements on the GPU."
"This is going to be a tremendously powerful GPU for the price, and you don't want to have any type of CPU bottlenecks on this GPU."
"A Shader is a program you write that runs on the GPU."
"We're starting to play around with kind of big models that really benefit from the GPU acceleration."
"The Titan V is easily the most powerful gaming GPU out right now."
"The GPU market size alone is expected to go from $40 billion as of the last full data set for 2022 to $400 billion by 2032."
"It's definitely using the GPU, that's exciting."
"With these GPU particles, there's all kinds of crazy new things that you can do."
"The RTX 3080 still remains as the go-to high-end Ampere GPU for gamers."
"It is almost 15 times faster to train your deep learning model on a GPU."
"GPU rendering, which is one of the big things you get by using Alacritty."
"This will enable your GPU with OpenCV and allow us to get that optimal performance when running Yolo v3."
"The glue between this GPU and R 710 is what's in this bag over here."
"The rendering now is 80% on the GPU."
"Make sure to just get good coverage of the GPU core when applying thermal paste."
"This stuff moves fast, and even just a GPU that's only less than two years old versus today, how crazy different the benchmarking is."
"Batching on the GPU is a great way to have low inference latency and low inference cost."
"You've got over 16,000 Cuda cores providing a really great jump from the last generation."
"The actual rasterizing and calculating performance of the GPU is absolutely insane."
"When you send stuff down into your GPU, it eventually divides by W and gets the points out, and it's really kind of cool how this whole thing is going to work out."
"If you care about a card being easy to repair, fuses make certain types of GPU failures much easier to fix."
"You don't necessarily need a GPU to do any training, but it does speed things up."
"Easy access to state-of-the-art GPU ray tracing via DirectX."
"All the effects run on GPU only and everything is fully programmable in HLSL."
"That's why I love working on GPU because it is a lot faster than CPU."
"The GPU is very good at doing these matrix operations; they have optimized them so much to be able to do these as fast as possible."
"This is my first time ever taking apart a GPU."
"1440p gaming, high frame rates, the latest titles, this GPU does it all, ladies and gentlemen."
"It allows you to use some GPU power, which would be handy if you're trying to do machine learning and this sort of thing."
"Writing custom GPU shaders really pays off."
"GPU rentals is going to be a far larger market because the average person who rents a GPU to do data analysis is spending way more money than they were ever going to spend on CPU and RAM."
"This program computes matrix multiplication on the GPU using CUDA."
"We're basically ready to send everything off to the GPU."
"What is a CUDA core? Well, a CUDA core is actually the number of GPU cores times the width of the ALU times the number of values on that core."
"The way that the GPU core works is a lot like what we saw when we did our rasterizer."
"That's what a warp is, a warp is 16 or 32 guys who's very knit together and they're gonna take all the branches and all the loops together until all of them agree."
"Great new update to the particles GPU, something that everyone has been hoping for to come soon, has now arrived."
"The GPU is basically pretty much the most complicated state machine I've ever dealt with."
"AMD's brand new mid-range GPUs are finally here: the 7700 and 7800 XT."
"This thing bulldozes a 4060 TI and is more of a 4070 competitor."
"If you use a desktop with a GPU, you want to have a desktop experience for that user as if they're actually sitting at a local workstation."
"The applications sitting at the top of this stack don't know that there's virtualization going on underneath; all they see is a GPU."
"It's important to understand that the GPU, whenever it draws stuff, it uses a painter's algorithm."
"This type of SIM using the NX push really is where using the GPU shines."
"We're looking at around about 350 FPS, so if you want to pair this with a 1440p 360hz monitor, clearly this is going to be an excellent GPU for you."
"Every function that runs on the GPU is a kernel."
"Knowing how to do a little parallel programming and how that works in the context of a GPU will hopefully be interesting for you."
"The GPU... it's a 4080 and currently costing $1,100-$1,200."
"The performance is great from this laptop, both in terms of CPU and GPU."
"The only thing that we will end up relying on is the ability to write Python code and have it run on the GPU and be automatically differentiated for us."
"If you're using NumPy, this is a great alternative to just experiment with the GPU."
"Easy, effective, and efficient GPU programming with Python."
"This is really cool, this is a GPU in the keyboard."