AUSTIN, TX — BOXX Technologies, a leading innovator of high-performance computer workstations, rendering systems, and servers, today announced the new FLEXX data center platform as the GPU Technology Conference (GTC) Digital begins on March 25. Purpose-built for content creation, FLEXX is available in a variety of sizes and features NVIDIA RTX GPUs, multiple CPUs, as well as other innovative design breakthroughs, and supports NVIDIA GPU virtualization software for remote workstations.
“FLEXX provides all the power and performance of a desktop workstation inside a rack-mounted, high-density form factor,” said Bill Leasure, BOXX VP of Marketing. “Powered by NVIDIA RTX GPUs, this unique system enables organizations to accelerate workflows and work remotely, access data, creative content, team projects, and more.”
A multi-node, data center-ready system, FLEXX is capable of simultaneously supporting multiple types of compute nodes providing the highest application performance for engineers, architects, designers, artists, and other professional content creators who are working on site or remotely. Compute nodes include NVIDIA Quadro Virtual Workstation nodes that can be accessed from any connected device, delivering performance previously available only in desk side workstations, as well as multi-CPU render nodes and multi-GPU workstation or render nodes. With the new FLEXX system, enterprises can provision Quadro Virtual Workstations in minutes, enabling designers and artists working from home to stay productive.
Available in different sizes, nodes are measured as VUs (vertical units), and the FLEXX chassis supports up to ten 1VU nodes or five 2VU nodes. Nodes can be mixed (for example: six 1VU nodes and two 2VU nodes) and can also be removed or inserted without disrupting neighboring nodes. The FLEXX chassis is five rack units high with redundant power supplies. The new systems are recommended for Autodesk Revit, Maya, 3ds Max, and Arnold, as well as SOLIDWORKS Simulation & Visualize, V-Ray, and other applications.
Joining FLEXX is the RAXX P6G Jupiter featuring up to 16 NVIDIA Quadro RTX 8000 GPUs. The 6U, rack-mounted system is ideal for deep learning development, rendering, simulation, and other GPU-centric workflows.
Predictive Science, Inc. (PSI), a San Diego-based company that provides state-of-the-art scientific solutions to real world problems, recently completed a NASA-funded project to add initial GPU-acceleration to PSI’s magnetohydrodynamic solar physics simulation code called MAS. This was accomplished using OpenACC to ensure portability and a single code base. One key application area of MAS is space weather, where it allows scientists to simulate multiple, parametrized models of solar eruptions to try to match observations which could eventually lead to a real-time predictive system.
“Many simplified simulations are used to refine the parameter choices,” said Dr. Ronald M. Caplan, PSI. “While these simulations can run quickly on a large HPC cluster, it is highly desirable to run them in-house on a single system to avoid wait queues and achieve a quick turnaround. Running a 60-million cell simulation on a 32-core processor takes nearly 3.5 days to complete, however, by utilizing all 16 NVIDIA Quadro 8000 GPUs in the RAXX P6G Jupiter, the same simulation runs in only one-and-a-half hours.”
Rounding out the BOXX product updates is the APEXX W4L ProViz workstation equipped with four NVIDIA Quadro RTX GPUs, as well as a 28-core (56 thread) Intel Xeon W-3275 processor and 128GB of memory. Purpose-built to accelerate rendering and simulation, APEXX W4L is ideal for powering leading computer graphics applications like 3ds Max, Maya, and Maxon Cinema 4D, as well as rendering engines like Arnold, V-Ray, and Redshift.
“From creative design to data visualization, demanding graphics workflows require powerful, purpose-built solutions,” said Bob Pette, vice president of Professional Visualization at NVIDIA. “With BOXX systems accelerated by NVIDIA RTX GPUs, professional digital artists, engineers, architects, designers, and data scientists can trust that they’ll have the performance needed to work from anywhere using even the most graphics-intensive applications.”
Learn more about BOXX systems, finance options, and how to contact worldwide resellers, by visiting www.boxx.com.
Source: BOXX Technologies