Compute Solutions
Compute Solutions

Accelerate your deep learning, data analytics and machine learning processes with GPU compute solutions from DÁNAS Technology.

From supercomputer NVIDIA® DGX Station desktops to full multi-GPU servers and clusters, DÁNAS Technology has a GPU computing solution that will fit your workflow needs and budget. Accelerate your applications with the full line of NVIDIA® Tesla GPUs featuring the T4, V100, P100, P40, P4 and Quadro® GP100. Our GPU Compute solutions include complete GPU Compute solutions like the NVIDIA DGX Station, DGX-1, DGX-2 and a full line of servers and clusters from HP, Dell, Lenovo and Supermicro.

Category: GPU Compute

Vendors: NVIDIA®, INTEL®, Dell, HP, Lenovo, Supermicro

Links: NVIDIA GPU Compute Application List

NVIDIA DGX-1

Building a platform for deep learning goes well beyond selecting a server and GPUs. A commitment to implementing AI in your business involves carefully selecting and integrating complex software with hardware. NVIDIA® DGX-1™ fast-tracks your initiative with a solution that works right out of the box, so you can gain insights in hours instead of weeks or months.

NVIDIA DGX-2

Experience new levels of AI speed and scale with NVIDIA® DGX-2™, the first 2 petaFLOPS system that combines 16 fully interconnected GPUs for 10X the deep learning performance. It’s powered by NVIDIA® DGX™ software and a scalable architecture built on NVIDIA NVSwitch, so you can take on the world’s most complex AI challenges.

NVIDIA DGX Station

Designed for your data science teams, NVIDIA® DGX Station™ is the world’s fastest workstation for leading-edge AI development. This fully integrated and optimized system enables your team to get started faster and effortlessly experiment with the power of a data center in your office.

Supermicro SuperServer 6049GP-TRT

Supermicro’s new SuperServer 6049GP-TRT provides the superior performance required to accelerate the diverse applications of modern AI. For maximum GPU density and performance, this 4U server supports up to 20 NVIDIA® Tesla® T4 Tensor Core GPUs, three terabytes of memory, and 24 hot-swappable 3.5” drives.

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