Deep Learning Solutions

Deep Learning Infrastructure Solutions for Any Project, Any Use Case, Any Organization

  • Greatly reduce training costs of your cloud computing with Exxact deep learning systems.
  • Custom systems specific for NLP, computer vision, generative models, reinforcement learning, or inference.
  • Wide range of accelerators and form factors from GPUs to FPGAs, from edge to datacenter.

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Cutting-Edge Researchers Use Our Deep Learning Systems


Customized Systems for Any Application, Any Scale

A Researcher’s Best Tool

Workstations
Let's Start Building

Powerful GPU systems enable researchers and small teams to create, train, and test deep learning models.


  • Single Users
  • Proof of Concept

Achieve State of the Art Results

Servers
Let's Start Building

Deep learning servers are recommended for those training larger models, requiring massive GPU compute power.


  • Deep Learning Teams
  • Development

Empower the Entire Organization

Clusters
Let's Start Building

The best option for larger organizations looking to scale out training or inference tasks.



  • Institutions
  • Full deployment


Deep Learning Platforms

Breakthrough Platforms at Your Fingertips

Gain peace of mind knowing that your system is ready for research the moment it's turned on. Each Exxact system goes through extensive validating and optimizing procedures before being shipped out. We pride ourselves on delivering turnkey solutions so you can spend less time configuring and more time researching.

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Find Your Perfect Deep Learning Environment with EMLI

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*Additional NGC (NVIDIA GPU Cloud) containers can be added upon request.

Conda EMLI

Separated Frameworks

Container EMLI

Flexible. Reconfigurable.

DIY EMLI

Simple. Clean. Custom.

Who is it for?

For developers who want pre-installed deep learning frameworks and their dependencies in separate Python environments installed natively on the system.

For developers who want pre-installed frameworks utilizing the latest NGC containers, GPU drivers, and libraries in ready to deploy DL environments with the flexibility of containerization.

For experienced developers who want a minimalist install to set up their own private deep learning repositories or custom builds of deep learning frameworks.

Frameworks*

TensorFlow V1
TensorFlow V2
PyTorch
MXnet
Caffe
Caffe2
Chainer
Microsoft Cognitive Toolkit

Libraries*

NVIDIA cuDNN
NVIDIA Rapids
Keras
Theano
OpenCV

Software Environments

NVIDIA CUDA Toolkit
NVIDIA CUDA Dev Toolkit
NVIDIA Digits
Anaconda

Container Management

Docker

Drivers

NVIDIA-qualified Driver

Orchestration

Micro-K8s

Free upgrade availableFree upgrade availableFree upgrade available

NVIDIA DGX™ A100

The universal system for all AI workloads, offering unprecedented compute density, performance and flexibility in the world’s first 5 petaFLOPS AI system. Order yours today.

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Utilize the Technology of Your Choice

NVIDIA GPU Solutions

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NVIDIA Clusters

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AMD Deep Learning

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Xilinx Deep Learning

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Build the Right System for Your Area of Research

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Natural Language Processing



Generative Models



Deep Reinforcement Learning



Computer Vision


Explore Related Resources

Deep Learning Blog

Deep Learning Benchmarks Comparison 2019: RTX 2080 Ti vs. TITAN RTX vs. RTX 6000 vs. RTX 8000 Selecting the Right GPU for your Needs

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Advantages of On-Premises Deep Learning and the Hidden Costs of Cloud Computing

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HGX-2 Benchmarks for Deep Learning in TensorFlow (16x V100)

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Hands-on TensorFlow Tutorial: Train ResNet-50 From Scratch Using the ImageNet Dataset

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Deep Learning eBook

Get Started with Deep Learning

View the eBook »

Getting Started With AI Software

View the eBook »

Implementing AI Solutions for Every Industry

View the eBook »

The 5 Essential Steps to Get Started in AI

View the eBook »

Case Studies

Lost It! - Nutritional mindfulness promoted by robust data processing and analytics.

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Accelerating Epigenetic Research at UPenn’s Perelman School of Medicine with Exxact’s GPU Workstations

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Testimonial

The solution from Exxact allowed us to iterate quickly during the development of Snap It to the point where model development became interactive. We were so impressed with both the hardware and responsiveness of the support team that we recently made further investments with Exxact by purchasing a TensorEX 8-GPU turn-key deep learning solution.

Dr. Edward Lowe
Director of Data Science
Lose It!

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