NVIDIA Silently Launches RTX 2000E “Ada” Graphics Card, Single-Slot HFHL Design With ECC Memory & Quad Display
NVIDIA has silently introduced its latest RTX Workstation graphics card, the RTX 2000E, which features the "Ada" GPU in a compact design.
NVIDIA's Super-Compact RTX 2000E "Ada" Graphics Card Gets Error Correcting Code Memory For High Accuracy
We just stumbled upon a brand new version of the already existing NVIDIA RTX 2000 Ada graphics card for professional workloads. The card is NVIDIA RTX 2000E "Ada" where the 'E' denotes the ECC memory. NVIDIA's RTX 2000 Ada is a professional graphics card in the workstation series launched in January this year and targets the budget segment. The NVIDIA RTX 2000E Ada Generation takes the existing version to newer heights for precision in professional applications.
Related Story Billion Dollar Fund Dumps NVIDIA, Buys Arm After Warning About A “Bubble”
The product page is already live where you can check out its specifications and features. NVIDIA's RTX 2000E Ada is a low-profile and single-slot GPU based on the Ada Lovelace architecture. The RTX 2000E Ada has a slightly smaller shroud than the RTX 2000 Ada Generation but is equivalent in length and carries the same blower-style heatsink. However, the single-slot form factor makes the RTX 2000E Ada more compact and easily adjustable in smaller chassis.
Unlike gaming graphics cards, the RTX 2000E will be tackling data errors for high accuracy and precision. While the regular version is already decent for professional apps, the RTX 2000E will be able to detect and fix single-bit errors in real-time, leading to better and more accurate results.
ECC memory is particularly helpful in processing data where accuracy can't be compromised. With the NVIDIA RTX 2000E Ada Generation, users will be able to work on scientific computing, AI training, content creation, and similar apps where data integrity is crucial. RTX 2000E Ada Generation carries over most of the specs and features of the RTX 2000 Ada, including third-generation 22 RT cores, fourth-generation 88 Tensor cores, and 2816 Cuda
Read more on wccftech.com
