AI learning workstation

A customer involved in data authentication technology research consulted us about a PC for AI learning using the RTX6000 Ada.
The specifications expected by the customer are as follows.

・CPU: Core i9-13900K
・Memory: 16GB x 4
-Storage: 2TB SSD M.2
・GPU: NVIDIA RTX6000 Ada
・OS: Microsoft Windows 11 Professional 64bit English version

Based on the content of your inquiry, we proposed the following configuration.

【Main Specifications】

CPU Core i9-13900K (3.00GHz 8-core + 2.20GHz 16-core)
memory 64GB
storage 2TB M.2 SSD
video NVIDIA RTX6000Ada
network on board (2.5GBase-T x1) Wi-Fi x1
Housing + power supply Middle tower case + 850W
OS Microsoft Windows 11 Professional 64bit English version
Others Replacement case fan 12cm x1

NVIDIA RTX6000 Ada is GeForce's top-of-the-line equivalent to RTX4090 at the moment.However, the TDP is relatively low at 300W, so no special cooling measures are required as long as there is sufficient airflow.
On the other hand, in terms of the overall configuration, the CPU is equipped with a Core i9-13900K with a high maximum TDP, so in order to ensure airflow, the exhaust fan of the chassis will be replaced with a more powerful one than the standard product.

The configuration of this case study is based on the conditions given by the customer.
Please feel free to contact us even if you are considering different conditions from what is posted.

 

■FAQ

・What is the RTX 6000 Ada?
The RTX6000 Ada is a video card for AI computing released by NVIDIA and has the following features.

・Equipped with hardware functions specialized for AI workloads
・Equipped with 568 Tensor Cores, enabling high-speed deep learning operations
・Equipped with 48GB of GDDR6 memory, capable of handling large data sets
・Highly compatible with CUDA and cuDNN, NVIDIA's software development kits
・Supports virtualization technology and can run AI workloads on multiple virtual machines

reference:NVIDIA RTX 6000 Ada Generation Graphics Card (NVIDIA) *Jumps to an external site