P C 7

S E V E N

Shopping Cart

Your cart is empty.

Search Products

Thumbnail
Thumbnail
Thumbnail

PNY NVIDIA RTX 2000 Ada Generation Graphics Card,16GB GDDR6 128-Bit Memory, 224 GB/sec Memory Bandwidth, 2816 CUDA Cores, 4N NVIDIA Custom Process | VCNRTX2000ADA-PB

(0 Reviews)

SKU: 2541

Category: Graphics Cards

Brand: PNY

Warranty: Reliable Quality, Backed by a 1 Year Warranty

AED 2,879.00

Sold By: PC7

Availability: In Stock

Condition: New

Delivery To: Dublin

Free Delivery

Delivered by: Delivery not available in United States

  • Description
  • Product Reviews
  • Specifications

PNY NVIDIA RTX 2000 Ada Generation Graphics Card,16GB GDDR6 128-Bit Memory, 224 GB/sec Memory Bandwidth, 2816 CUDA Cores, 4N NVIDIA Custom Process | VCNRTX2000ADA-PB

NVIDIA Ada Lovelace Architecture

The NVIDIA RTX™ 2000 Ada Generation, based on the Ada Lovelace architecture, gives professionals the power of the latest RTX technology for accelerated ray tracing and AI to drive advanced visualization, creative, and design workflows for mainstream applications.

CUDA Cores

The NVIDIA Ada Lovelace architecture-based CUDA Cores deliver up to 1.5X the single-precision floating-point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics workflows such as 3D model development and single-precision compute for workloads like desktop simulation for CAE.

Third-Generation RT Cores

Third-generation RT cores in the RTX 2000 provide up to 1.7X faster ray tracing performance over the previous generation, significantly boosting rendering speeds for content creation, design reviews, and virtual manufacturing prototyping. Enhanced RT cores and Shader Execution Reordering (SER) technology optimize shader performance, further accelerating ray traced image rendering.

Fourth-Generation Tensor Cores

Fourth-generation Tensor Cores provide support for the new FP8 data format for inference providing up to 1.8X higher throughput for tensor matrix operations than the previous generation and reducing data memory usage by half compared to the FP16 data format for more efficient execution of workloads using a mix of computation and addressing calculations.


Customer Reviews

Write A Review

No reviews yet for this product.

Add a Review

General

Weight: 1.50 kg
Dimensions: 30x20x10 cm

Specifications

No specifications available.