NVIDIA RTX A6000 First Look for Data Science 48GB Ampere GPU

NVIDIA was kind enough to provide an NVIDIA RTX A6000 for my YouTube channel. This amazing Ampere GPU contains 10,752 CUDA cores, 336 Tensor Cores, and 48GB of RAM! This GPU actually contains more RAM than most computer systems!  In this video, I give the A6000 an initial look and show its installation into my system.  More to come on the A6000 GPU.

To answer a few questions on loudness.  Measured with a highly scientific iPhone 😊, the room, with nothing running is 45db and 60db with the A6000 running full fan.

https://www.nvidia.com/en-us/design-v...

0:32 NVIDIA RTX A6000 Specs
1:18 Why do you need 48GB of GPU RAM?
2:10 Unboxing the NVIDIA RTX A6000
2:30 Powering the NVIDIA RTX A6000
3:35 Cooling the NVIDIA RTX A6000
5:12 Installing the NVIDIA RTX A6000
9:36 Turn on the Computer!
9:48 BitLocker recover (ugh)
11:35 Upgrade the CUDA Drivers for the NVIDIA RTX A6000
12:45 TensorFlow example on NVIDIA RTX A6000
13:49 Finished Computer System

Article on my computer build:
https://towardsdatascience.com/nvidia...

** Complete System
Case: Corsair Crystal 570X RGB ATX Mid Tower
CPU: AMD Threadripper 3960X 3.8 GHz 24-Core
GPU: NVIDIA RTX A6000
Mother Board: MSI TRX40 PRO WIFI ATX sTRX4
RAM: Corsair Vengeance RGB Pro 128 GB (8 x 16 GB) DDR4-3200 CL16
Storage: 2 x Sabrent Rocket 4.0 2 TB M.2-2280 NVME SSD
PSU: Corsair RMx 1000 W 80+ Gold Certified Fully Modular ATX
Cooler: Corsair iCUE H100i RGB Pro XT, 240mm Radiator
Fans: Corsair LL120 43.25 CFM 120 mm

** Follow Me on Social Media!
GitHub: https://github.com/jeffheaton
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