
DIGITS
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks.
Hardware Recommendations
Processor
This application relies heavily on the GPU to perform calculations, therefore a processor with a low core count and low clockspeed is acceptable.
Graphics
The RTX 2080Ti become the defacto graphics card for deep learning and DIGITS offsets all the computing of data to the GPU. For maximum performance, recommend two NVIDIA GeForce RTX 2080Ti graphics cards.
Need even more graphics processing power? Contact us to learn more about adding an external GPU expander, which allows for up to 4 additional graphics cards.
Storage
This application relies more on reading data than writing data as it analyzes and processes training datasets. Extreme read rates are not required however, therefore we recommend a 512GB SSD for the operating system and program files. Furthermore, because deep learning requires large datasets to be processed, storing this data locally is important. Therefore a 4TB, 6TB or 8TB hard drive (or multiple hard drives) is recommended depending on your storage needs.
Memory
Benchmarks indicate that DIGITS performs best when the amount of system memory is double (or more) the graphics card memory. So if you have one Titan Xp card (which is 12GB), then we recommended 32GB RAM. If you have two Titan Xp cards (24GB), then we recommended 64GB RAM.
Configuration Recommendations
HP Z8 G4 Workstation
$5,575
HP Z8 G4 Workstation
$11,150
Hardware Reference Recommendations
- by
NVIDIA
NVIDIA Digits - by
NVIDIA
Easy Multi-GPU Deep Learning with DIGITS 2
Running additional applications on this system?
The recommended components and configurations provided on this page are specific to this software. If you plan on running other applications, view our recommendations for them as well and choose a configuration that best suits the needs of the application requirements collectively. Feel free to contact us for further assistance.
3ds Max
Act-3D
After Effects
AMBER MD
ANSYS
ARCHICAD
Arnold
Audition
AutoCAD
Blender
BodyPaint 3D
Catia
Cinema 4D
Corona Renderer
DaVinci Resolve
Digital Performer
DIGITS
Flame
Fusion
Harmony
Hauptwerk
Houdini FX
Illustrator
InDesign
Inventor
Keyshot
Lightroom
Live
Mari
Maxwell
Maya
Media Composer
Modo
MotionBuilder
Mudbox
Navisworks
Nuke
OctaneRender
Photoshop
Premiere Pro
Pro Tools
ReCap 360
RenderMan
Revit
SketchUp
Solid Edge
Solidworks
TensorFlow
Unreal Engine
V-Ray Next
VMware
ZBrush
OctaneRender
RenderMan
V-Ray Next
Unreal Engine