Exxact Valence Small Form Factor Workstation - 1x Intel Core Ultra (Series 2) processor - VWF-139560981
The Valence VWF-139560981 is a MicroATX workstation supporting 1x Intel Core Ultra 5/7/9 (Series 2) processor and 2x DDR5 memory slots.
Training, building, and deploying Deep Learning and AI models can solve complex problems with less coding. Whether it's data collection, annotation, training, or evaluation, leverage the immense parallelism GPUs offer to parse, train, and evaluate at extremely high throughput. Process massive datasets faster with multi-GPU configurations to develop AI models that surpass any other form of computing.
Facilitate any stage of Scientific Research, from data preparation, visualizing structural biology, to conducting complex MD simulations. Leverage GPUs to speed up calculations and research, and encourage the use of AI to solve or accelerate complex workflows such as protein structure prediction, building new molecules, and exponentially accelerating genome sequencing.
Engineering and Simulation software suites are notorious for their computationally intensive requirements. Your system should never hold you back from designing and refining the next big thing. Leverage high core count CPUs, ample RAM, and the top-of-the-line GPUs to accelerate CFD, FEA, electronics simulation, and more.
Running 3D design, rendering, and immersive visualization workloads has solidified their place in media and entertainment, simulation training, architectural design, and more. As digital assets get larger and more complex, your system should handle that intensity. Exxact workstation and server platforms are configurable to address your performance needs so you can focus on being creative, innovative, and productive.
Parallelize your Workload
Not Just for Gaming
GPUs aren’t just for gaming but for accelerating scientific and engineering challenges. Execute workloads that require immense parallelization; simultaneously train deep learning iterations, split render tasks of large 3D scenes, or simulate molecular dynamics calculations in batches for higher throughput and lower time-to-completion. Our graphics processing units are turning into general processing units enabling our every innovation.
About
The Valence VWF-139560981 is a MicroATX workstation supporting 1x Intel Core Ultra 5/7/9 (Series 2) processor and 2x DDR5 memory slots.
Training, building, and deploying Deep Learning and AI models can solve complex problems with less coding. Whether it's data collection, annotation, training, or evaluation, leverage the immense parallelism GPUs offer to parse, train, and evaluate at extremely high throughput. Process massive datasets faster with multi-GPU configurations to develop AI models that surpass any other form of computing.
Facilitate any stage of Scientific Research, from data preparation, visualizing structural biology, to conducting complex MD simulations. Leverage GPUs to speed up calculations and research, and encourage the use of AI to solve or accelerate complex workflows such as protein structure prediction, building new molecules, and exponentially accelerating genome sequencing.
Engineering and Simulation software suites are notorious for their computationally intensive requirements. Your system should never hold you back from designing and refining the next big thing. Leverage high core count CPUs, ample RAM, and the top-of-the-line GPUs to accelerate CFD, FEA, electronics simulation, and more.
Running 3D design, rendering, and immersive visualization workloads has solidified their place in media and entertainment, simulation training, architectural design, and more. As digital assets get larger and more complex, your system should handle that intensity. Exxact workstation and server platforms are configurable to address your performance needs so you can focus on being creative, innovative, and productive.
Parallelize your Workload
Not Just for Gaming
GPUs aren’t just for gaming but for accelerating scientific and engineering challenges. Execute workloads that require immense parallelization; simultaneously train deep learning iterations, split render tasks of large 3D scenes, or simulate molecular dynamics calculations in batches for higher throughput and lower time-to-completion. Our graphics processing units are turning into general processing units enabling our every innovation.