As an NVIDIA Elite Partner, Exxact Corporation works closely with the NVIDIA team to ensure seamless factory development and support. We pride ourselves on providing value-added service standards unmatched by our competitors.
Unleash Accelerated Data Science Performance with TITAN RTX Workstations
Powered by NVIDIA's latest GPU architecture, the NVIDIA® TITAN series of GPUs are the most powerful graphics cards ever created for the PC. NVIDIA TITAN GPUs provide top of the line performance, engineering, and design.
Double the effective GPU memory capacity to 48 GB and scale performance with up to 100 GB/s in total bandwidth of data transfer utilizing the NVIDIA NVLink technology.
Only available for TITAN RTX.
NVIDIA TITAN RTX Workstations Featuring Tensor Cores for Deep Learning
Tensor Cores are a key capability first introduced with the Volta GPU architecture to deliver the performance required to train large neural networks. Each TITAN RTX contains 576 Tensor Cores, while the TITAN V contains 640 Tensor Cores, which are designed specifically for delivering groundbreaking deep learning performance. This key capability enables NVIDIA TITAN Workstations to deliver maximum deep learning workstation performance speedups in training and inference.
We understand every development environment is different, so shouldn't you have the option to choose what's best for you? All EMLI environments are available in the latest Ubuntu or CentOS Linux versions, and are built to perform right out of the box.
*Additional NGC (NVIDIA GPU Cloud) containers can be added upon request.
Simple. Clean. Custom.
Who is it for?
For developers who want pre-installed deep learning frameworks and their dependencies in separate Python environments installed natively on the system.
For developers who want pre-installed frameworks utilizing the latest NGC containers, GPU drivers, and libraries in ready to deploy DL environments with the flexibility of containerization.
For experienced developers who want a minimalist install to set up their own private deep learning repositories or custom builds of deep learning frameworks.