NAMD

NAMD

Theoretical and Computational Biophysics Group
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About

Traditionally, deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling take days or weeks time. However, with GPUonCLOUD’s dedicated GPU servers, it's a matter of hours. You may want to opt for pre-configured systems or pre-built instances with GPUs featuring deep learning frameworks like TensorFlow, PyTorch, MXNet, TensorRT, libraries e.g. real-time computer vision library OpenCV, thereby accelerating your AI/ML model-building experience. Among the wide variety of GPUs available to us, some of the GPU servers are best fit for graphics workstations and multi-player accelerated gaming. Instant jumpstart frameworks increase the speed and agility of the AI/ML environment with effective and efficient environment lifecycle management.

About

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. Based on Charm++ parallel objects, it scales from desktop and laptop computers to high-end parallel platforms, hundreds of cores for typical simulations, and beyond 500,000 cores for the largest simulations. NAMD is built for researchers who need to simulate large molecular systems efficiently while preserving compatibility with widely used molecular modeling workflows. It uses the popular molecular graphics program VMD for simulation setup and trajectory analysis, and it is file-compatible with AMBER, CHARMM, and X-PLOR. It is designed to support biomolecular simulations involving proteins, membranes, nucleic acids, solvents, ions, and other molecular systems where atomic interactions and time-dependent motion need to be studied in detail.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies interested in a GPU server solution for AI and machine learning

Audience

Biophysicists, biologists, and simulation researchers requiring a biomolecular simulation tool for desktops, clusters, GPUs, and supercomputers

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$1 per hour
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

GPUonCLOUD
India
gpuoncloud.com/gpu-as-a-service/

Company Information

Theoretical and Computational Biophysics Group
Founded: 2006
United States
www.ks.uiuc.edu/Research//namd/

Alternatives

Alternatives

Ascalaph Designer

Ascalaph Designer

Agile Molecule

Categories

AI Cloud Providers Supported
AI Infrastructure Supported
Cloud GPU Supported

Categories

Integrations

MXNet Supported
PyTorch Supported
TensorFlow Supported

Integrations

MXNet Not Supported
PyTorch Not Supported
TensorFlow Not Supported
Claim GPUonCLOUD and update features and information
Claim GPUonCLOUD and update features and information
Claim NAMD and update features and information
Claim NAMD and update features and information