DO DECIDE NVIDIA QUADRO WORKSTATION GRAPHICS CARD BASED ON REVIEW
May 12, 2022

NVIDIA RTX A4500

 

  • # CUDA Cores: 7168
  • # RT Cores: 56
  • # Tensor Cores: 224
  • Interfaces: 4x DisplayPorts 1.4
  • Memory: 20GB GDDR6 ECC
  • # CUDA Cores: 3328
  • # RT Cores: 26
  • # Tensor Cores: 104
  • Interfaces: 4x mDP
  • Memory: 6GB GDDR6

NVIDIA T1000

NVIDIA QUADRO
  • # CUDA Cores: 896
  • Interfaces: 4x mDP
  • Memory: 4GB GDDR6

NVIDIA T600

NVIDIA QUADRO
  • # CUDA Cores: 640
  • Interfaces: 4x mDP
  • Memory: 4GB GDDR6
NVIDIA T400
NVIDIA QUADRO
  • # CUDA Cores: 384
  • Interfaces: 3x mDP
  • Memory: 2GB GDDR6
NVIDIA RTX A4000
NVIDIA QUADRO
  • # CUDA Cores: 6144
  • # RT Cores: 48
  • # Tensor Cores: 192
  • Interfaces: 4x DP 1.4
  • Memory: 16 GB GDDR6 with ECC

NVIDIA RTX A5000

NVIDIA QUADRO
  • # CUDA Cores: 8192
  • # RT Cores: 64
  • # Tensor Cores: 256
  • Interfaces: 4x DisplayPort 1.4
  • Memory: 24 GB GDDR6 with ECC
NVIDIA RTX A6000
NVIDIA QUADRO
  • Memory: 48 GB GDDR6 with ECC
  • # CUDA Cores: 10752
  • # Tensor Cores: 336
  • # RT Cores: 84
  • Active Cooling: Yes
  • Interfaces: 4x DisplayPort

NVIDIA Quadro RTX 4000 8GB Workstation Graphics Card

NVIDIA QUADROMemory: 8GB GDDR6

  • # CUDA Cores: 2304
  • # Tensor Cores: 288
  • # RT Cores: 36
  • Active Cooling: Yes
  • Interfaces: 4x DisplayPort, 1x USB-C (VirtualLink)

NVIDIA Quadro RTX 5000 16GB Workstation Graphics Card

NVIDIA QUADRO

  • Memory: 16GB GDDR6
  • # CUDA Cores: 3072
  • # Tensor Cores: 384
  • # RT Cores: 48
  • Active Cooling: Yes
  • Interfaces: 4x DisplayPort, 1x USB-C (VirtualLink)

NVIDIA Quadro RTX 6000 24GB Workstation Graphics Card

NVIDIA QUADRO

  • Memory: 24GB GDDR6
  • # CUDA Cores: 4608
  1. # RT Cores: 72
  • Active Cooling: Yes
  • Interfaces: 4x DisplayPort, 1x USB-C (VirtualLink)

NVIDIA Quadro P6000 – 24GB Workstation Graphics Card

NVIDIA QUADRO
  • Memory: 24GB GDDR5X
  • # CUDA Cores: 3840
  • Interfaces: 4x DisplayPort

NVIDIA Quadro P620 – 2GB Workstation Graphics Card

Quadro P620 front
  • Memory: 2GB GDDR5
  • # CUDA Cores: 512
  • Interfaces: 4x DisplayPort
  • NVIDIA Quadro P400 – 2GB Workstation Graphics Card
quadro p400 front
  • Memory: 2GB GDDR5
  • # CUDA Cores: 256
  • Interfaces: 3x Mini-DisplayPort

NVIDIA Quadro P4000 – 8GB Workstation Graphics Card

quadro p4000 front
  • Memory: 8GB GDDR5
  • # CUDA Cores: 1792
  • Interfaces: 4x DisplayPort

NVIDIA Quadro P5000 – 16GB Workstation Graphics Card

quadro p5000 45
  • Memory: 16GB GDDR5X
  • # CUDA Cores: 2560
  • Interfaces: 4x DisplayPort

NVIDIA Quadro P2000 – 5GB Workstation Graphics Card

quadro p2000 front
  • Memory: 5GB GDDR5
  • # CUDA Cores: 1024
  • Interfaces: 4x DisplayPort

NVIDIA Quadro P1000 – 4GB Workstation Graphics Card

quadro p1000 front
  • Memory: 4GB GDDR5
  • # CUDA Cores: 640
  • Interfaces: 4x Mini-DisplayPort

NVIDIA Quadro GP100 – 16GB HBM2 Workstation Graphics Card

nvidia quadro gp100
  • Memory: 16GB GDDR5
  • # CUDA Cores: 3584
  • Interfaces: 1x DVI, 4x DisplayPort

Passively Cooled NVIDIA Quadro RTX 8000 48GB ECC GDDR6 Graphics Card

NVIDIA QUADRO

  • Memory: 48GB GDDR6
  • # CUDA Cores: 4608
  • # Tensor Cores: 576
  • # RT Cores: 72
  • Passive Cooling: Yes
  • Interfaces: None
NVIDIA Quadro RTX 8000 48GB Workstation Graphics Card
NVIDIA QUADRO
  • Memory: 48GB GDDR6
  • # CUDA Cores: 4608
  • # Tensor Cores: 576
  • # RT Cores: 72
  • Active Cooling: Yes
  • Interfaces: 4x DisplayPort, 1x USB-C (VirtualLink)
Passively Cooled NVIDIA Quadro RTX 6000 24GB ECC GDDR6 Graphics Card

NVIDIA QUADRO

  • Memory: 24GB GDDR6
  • # CUDA Cores: 4608
  • # Tensor Cores: 576
  • # RT Cores: 72
  • Passive Cooling: Yes
  • Interfaces: None

NVIDIA Quadro P2200 5GB Workstation Graphics Card

NVIDIA QUADRO

  • Memory: 5GB GDDR5X
  • # CUDA Cores: 1280
  • Interfaces: 4x DisplayPort

NVIDIA Quadro GV100 – 32GB HBM2 Workstation Graphics Card

NVIDIA QUADRO
  • Memory: 32GB HBM2
  • # CUDA Cores: 5120
  • Interfaces: 4x DisplayPort

NVIDIA RTX and NVIDIA Quadro professional Workstation class graphics cards accelerate all professional workflows.

They are the worlds leading graphics options for creative and technical industries thanks to their exceptional performance, robust reliability, high capacity graphical memory, vast enterprise feature set and highly optimised drivers.

Professional NVIDIA graphics cards are now certified in over 100 professional applications making these graphics cards safe, reliable, and the perfect choice for you and your business.

RT CORES FOR REAL-TIME RAY TRACING

Dedicated ray-tracing processors called RT Cores accelerate the computation of how light and sound travel in 3D environments at up to 10 Giga Rays per second. RT Cores accelerate real-time ray tracing dramatically and can be used for final frame rendering for film effects at more than 30x the speed of CPUs.

TENSOR CORES FOR AI ACCELERATION

New Tensor Core processors accelerate deep learning training and inferencing, providing up to 500 trillion Tensor operations per second. This level of performance dramatically accelerates AI-enhanced features — such as denoising, resolution scaling and video re-timing — creating applications with powerful new capabilities.

NEW STREAMING MULTIPROCESSOR

The latest NVIDIA architectures dramatically improve the raster performance of GPU’s over the previous Pascal generation with an enhanced graphics pipeline and new programmable shading technologies. These technologies include variable-rate shading, texture-space shading, and multi-view rendering, providing more fluid interactivity with large models and scenes and improved VR experiences.

CUDA

NVIDIA CUDA® Cores enable general parallel computing on graphical processing units (GPUs). Using CUDA, users can dramatically speed up computing tasks such as rendering and simulations by harnessing the power of their NVIDIA GPUs.

GPU accelerated applications can perform the sequential aspects of the program on their CPU, which is highly optimised for single-threaded tasks. The program can leverage the vastly higher number of CUDA cores within the GPU to accelerate performance for multi-threaded elements of the program.