631-472-5500 info@ftei.com Company Solutions Sectors News Customer Portal 80% Reduction in End-to-End Data Science Workflows with Future Tech Future Tech’s Data Science Workstations (DSW) can reduce end-to-end data science workflows by up to 80%, helping your team to work smarter, faster and safer. Equipped with NVIDIA RAPIDS, Future Tech’s DSW integrates all the computing power needed – hardware and software – to help you plow through data. NVIDIA RAPIDS enables enterprises to tap into GPU-accelerated machine learning (ML) with faster model iteration, better prediction accuracy, and the lowest data science total cost of ownership (TCO). NVIDIA RAPIDS has a similar look and feel to working in Python, with optimized NVIDIA® CUDA® primitives. This allows you to accelerate your Python data science toolchain with minimal code changes. Also, no need to learn new tools. Our OEM Partners Future Tech collaborates with a series of strategic alliance partners to deliver customized, integrated DSW build designs for a variety of OEM equipment. This includes HP (surrounding their line of Z Workstations), Dell Technologies and Lenovo. Future Tech is a proud recipient of the NVIDIA 2019 Partner of the Year Award for Professional Visualization Read More Other advantages of Future Tech’s DSW include: Lower Costs than Cloud: Enables bigger data sets, larger more frequent regressions and increased number of users at a lower cost vs. Cloud; Improved Security: Single work station can keep sensitive data local, on-prem, without the risk of putting it into the cloud; Better Control Your Development Environment: Create, manage and update your software stack to your exact specifications. Use For Multiple Applications: Convenient and flexible solution can be used for Data Science or VR applications. FURTHER RESOURCES: Accelerated Data Science Solution with RAPIDS Contact our Data Science Specialists today! Name Company Title Email Telephone Additional Notes: SEND © 2021 Future Tech Enterprise, Inc Privacy Policy | All Rights Reserved.