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9800X3D review thread

UnrealEck

Member
I play at 3440x1440 with an RTX 4090 and I still see a lot of games with a CPU bottleneck from a 12600K and DDR4.
This would likely be an upgrade even at near 4K resolution for many games.
 

SHA

Member
Fuck it I’m in if the 9950x3d is better then I will sell my 9800x3d lets go
0WxZqj0.gif
 

Hohenheim

Member
Looks good!
This will probably be the companion to a 5090 in my next build, unless the 9950X3D has some very huge gains at 4K gaming.
 

pasterpl

Member
So seriously, why is AMD doing so well in CPUs and so poorly in GPUs?
GPU enterprise/datacenters market is owned by nVidia and AMD GPUs are no competition for nVidia. HGX H100 and H200 have no competition. AMD is miles behind nVidia when it comes to AI
Because they put their resources where the money's at. CPU development helps the high margin server market while GPUs are in nowhere land right now. Even AI hardware is diverging from GPUs so they are really an unwanted child right now.
Diverging to what? CPU’s? …lol…


We know that for customer products MS went with Qualcomm for AI powered devices, but server/datacentre side is mostly `h100/200

Also
The central processing unit (CPU) is the standard processor used in many devices. Compared to FPGAs and GPUs, the architecture of CPUs has a limited number of cores optimized for sequential serial processing. Arm® processors can be an exception to this because of their robust implementation of Single Instruction Multiple Data (SIMD) architecture, which allows for simultaneous operation on multiple data points, but their performance is still not comparable to GPUs or FPGAs.

The limited number of cores diminishes the effectiveness of a CPU processor to process the large amounts of data in parallel needed to properly run an AI algorithm. The architecture of FPGAs and GPUs is designed with the intensive parallel processing capabilities required for handling multiple tasks quickly and simultaneously. FPGA and GPU processors can execute an AI algorithm much more quickly than a CPU. This means that an AI application or neural network will learn and react several times faster on a FPGA or GPU compared to a CPU.

CPUs do offer some initial pricing advantages. When training small neural networks with a limited dataset, a CPU can be used, but the trade-off will be time. The CPU-based system will run much more slowly than an FPGA or GPU-based system. Another benefit of the CPU-based application will be power consumption. Compared to a GPU configuration, the CPU will deliver better energy efficiency.

AI, also known as Artificial Intelligence, can run on both CPU (Central Processing Unit) and GPU (Graphics Processing Unit). The choice of which one to use depends on the specific task and the complexity of the AI model.

In general, CPUs are better suited for handling small to medium-sized datasets and simpler AI models. They are optimized for sequential processing, making them ideal for tasks that require a lot of branching and decision-making. CPUs also have a larger cache and memory capacity than GPUs, which can be beneficial for some AI applications.

On the other hand, GPUs are better suited for handling large datasets and complex AI models. They are optimized for parallel processing, which allows them to perform many calculations simultaneously. This parallel processing capability is necessary for deep learning applications, such as neural networks, which involve large amounts of matrix multiplication.

In recent years, GPUs have become increasingly popular for AI due to their high processing power and relatively low cost. Many companies have developed specialized GPUs, such as Nvidia's Tensor Cores, specifically for deep learning applications.

In conclusion, AI models can run on both CPUs and GPUs, and the choice of which one to use depends on the specific task and the complexity of the AI model. CPUs are better suited for simpler tasks with smaller datasets, while GPUs excel at handling large datasets and complex deep learning models.
 

twilo99

Member
Kinda funny to see 160fps compared to 3600's 63fps in cpu limited BG3 scenario. Consoles are getting to be more and more behind.

I’ve been saying this for 3 years now and Sony decided to use a Zen 2 laptop CPU inside their latest and most powerful console. Makes zero sense.
 

GHG

Member
7800x3d is running alongside 9800x3d.

Is the 7800x3d getting restocked for you?

I've been told it's out of stock (has been for a few weeks now) and will stay that way by resellers in the UAE.

Edit: It's also out of stock on newegg's International store.
 
Last edited:

STARSBarry

Gold Member
Now it's just a matter of waiting for the 5090, and then I'll have a new computer - I'm excited about the prospect of speeding up my gaf posts.

this is exactly what im doing, god I hope they come out before Monster Hunter Wilds, that game ran like ass.
 
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