Dihuni OptiReady CognitX Deep Learning Servers and Workstations

Dihuni OptiReady CognitX family of Deep Learning Servers and Workstations are designed to help researchers and scientists solve some of the most complex problems that require Deep Learning/Machine Learning and advanced methodologies; traditional statistical methods and incremental computing technologies are not suitable for such scientific advancement. Artificial Intelligence (AI) is increasingly being used in business, medical and industrial applications and Dihuni’s OptiReady CognitX products have been deployed by prestigeous organizations – from top universities, IT infrastructure companies, Oil & Gas companies, Healthcare, Finance and Federal/Defense agencies.

Dihuni OptiReady CognitX AI-A100 – Powered by NVIDIA A100 GPU

Dihuni OptiReady CognitX AI-A100 family of Deep Learning Servers and Workstations leverage the performance of the NVIDIA® A100 Tensor Core GPU delivers unprecedented acceleration for AI, data analytics, and high-performance computing (HPC) to tackle the world’s toughest computing challenges. With third-generation NVIDIA Tensor Cores providing a huge performance boost, the A100 Tensor Core GPU can efficiently scale up to the thousands or, with Multi-Instance GPU, be allocated as seven smaller, dedicated instances to accelerate workloads of all sizes.

Available OptiReady CognitX AI-A100 Models

SYS-540A-TR

AI-A100-WS-DL1

Base Configuration

  • 1 x NVIDIA A100 40GB PCI-e GPU (expandable to 4)
  • Upgradable to 80GB GPU
  • 1 x Intel Xeon 4309Y 8-core CPU
  • 64GB DDR4-3200 ECC Reg Memory
  • 1 x 1TB SATA HDD

AI-A100-SXM4-4NVE

Base Configuration

  • 4 x NVIDIA A100 40GB SXM4 NVLink GPU
  • Upgradable to 80GB GPU
  • 2 x AMD EPYC Milan 7313 16-core CPU
  • 256GB DDR4-3200 ECC Reg Memory
  • 1 x 1TB NVMe SSD

AI-A100-RM-DL8

Base Configuration

  • 1 x NVIDIA A100 40GB PCI-e GPU (expandable to 8)
  • Upgradable to 80GB GPU
  • 2 x AMD EPYC Milan 7313 16-core CPU
  • 256GB DDR4-3200 ECC Reg Memory
  • 1 x 1TB NVMe SSD

AI-A100-SXM4-8NVE (DGX A100 Comparable)

Base Configuration

  • 8 x NVIDIA A100 40GB SXM4 NVLink GPU
  • Upgradable to 80GB GPU
  • 2 x AMD EPYC Milan 7513 32-core CPU
  • 1TB DDR4-3200 ECC Reg Memory
  • 1 x 1TB SATA HDD

All models above can be customized to your exact specifications. Discounts available.

Ubuntu Linux and AI Software Pre-loaded (Optional)

The OptiReady CognitX AI-A100 Deep Learning servers can be preloaded with Ubuntu Linux and NVIDIA NGC™ containers. NGC empowers researchers, data scientists, and developers with performance-engineered containers featuring AI software like TensorFlow, Keras, PyTorch, MXNet, NVIDIA TensorRT™, RAPIDS and more. These pre-integrated containers feature NVIDIA AI stack including NVIDIA® CUDA® Toolkit, NVIDIA deep learning libraries which are easy to upgrade using Docker commands.

NVIDIA QUADRO Virtual Data Center Workstation (QUADRO vDWS)

NVIDIA vGPU Software License (Optional)

Our customers are increasingly deploying Deep Learning systems in virtualized environments to help allocate GPU cycles to their researchers based on the type of AI applications they are working or to take advantage of private cloud benefits that virtualization offer. NVIDIA virtual GPUs enabled by the NVIDIA virtual GPU (vGPU) software is installed at the virtualization layer along with the hypervisor. This software creates virtual GPUs that let every virtual machine (VM) share the physical GPU installed on the server. For more demanding workflows, a single VM can harness the power of multiple physical GPUs. Dihuni provides perpeual and subscription licenses for NVDIA’s vGPU software for workloads in AI and data science that can be supported in a virtualized and cloud environment.

Dihuni OptiReady CognitX AI-AXX and AI-RTX- Powered by NVIDIA A40, A30 A10, A16, RTX A6000, A5000 and A4000 GPU (Customized Options Available)

Besides the highest performance A100 GPUs, Dihuni offers a wide range of single and dual socket OptiReady CognitX servers and workstation products that can be pre-configured with the A40, A30, A10, A16, RTX™ A6000, A5000 and A4000 GPUs. These systems are extremely suitable for CAD, visualization and Edge AI applications. In partnership with NVIDIA and PNY Technologies, we have designed these CognitX systems to bring the power of real-time ray tracing, AI, and advanced graphics to designers, artists, scientists, and researchers. Dihuni helps customers advance their AI applications with custom built OptiReady CognitX workstations featuring these GPUs.

Dihuni OptiReady CognitX Rack – Deep Learning at Scale (Optional)

Dihuni’s Integrated Rack Soutions and Services can help you deploy Deep Learning systems and storage solutions at scale for your Supercomputing needs. As your trusted partner, Dihuni will manufacture, integrate and deliver high-quality, cost-effective, customized solutions tailored for your AI applications and to meet deployment schedules with reduced operating expenses is expanding rapidly.

Dihuni will help you through the Design, Assembly, Configuration, Testing and Logistics – from conception to installation and specific to your supercomputing requirements. Integrated racks are shipped in secure packacging and are ready to be deployed after arrival at your datacenter.


Create Your Own OptiReady CognitX Deep Learning System

At Dihuni, we understand your AI application may require specifications other than our standard OptiReady CognitX Deep Learning configurations. So we welcome custom configurations that work best for your application. Please fill out the form below and one of our Deep Learning team members will contact you right away with a quote for a custom OptiReady system.

For other OS, please specify in comments section below