CUDA

CUDA

NVIDIA
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About

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.

About

NVIDIA® Parabricks® is the only GPU-accelerated suite of genomic analysis applications that delivers fast and accurate analysis of genomes and exomes for sequencing centers, clinical teams, genomics researchers, and high-throughput sequencing instrument developers. NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians—enabling significantly faster runtimes, workflow scalability, and lower compute costs. From FastQ to Variant Call Format (VCF), NVIDIA Parabricks accelerates runtimes across a series of hardware configurations with NVIDIA A100 Tensor Core GPUs. Genomic researchers can experience acceleration across every step of their analysis workflows, from alignment to sorting to variant calling. When more GPUs are used, a near-linear scaling in compute time is observed compared to CPU-only systems, allowing up to 107X acceleration.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a powerful parallel computing platform and programming model

Audience

Organizations looking for an AI-based tool for analysis of high-throughput DNA and RNA sequencing data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/cuda-zone

Company Information

NVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/clara/genomics/

Alternatives

oneAPI

oneAPI

Intel

Alternatives

NVIDIA NIM

NVIDIA NIM

NVIDIA
OpenCL

OpenCL

The Khronos Group
Evo 2

Evo 2

Arc Institute
VarSeq

VarSeq

Golden Helix

Categories

Categories

Integrations

Amazon Web Services (AWS)
Axivion Static Code Analysis
C
C++
Clore.ai
Code Metal
Cody
Dataoorts GPU Cloud
HunyuanCustom
MATLAB
Microsoft Azure
NVIDIA Brev
NVIDIA Jetson
NVIDIA TensorRT
NodeShift
RightNow AI
Thunder Compute
Unicorn Render
VMware Private AI Foundation
Vast.ai

Integrations

Amazon Web Services (AWS)
Axivion Static Code Analysis
C
C++
Clore.ai
Code Metal
Cody
Dataoorts GPU Cloud
HunyuanCustom
MATLAB
Microsoft Azure
NVIDIA Brev
NVIDIA Jetson
NVIDIA TensorRT
NodeShift
RightNow AI
Thunder Compute
Unicorn Render
VMware Private AI Foundation
Vast.ai
Claim CUDA and update features and information
Claim CUDA and update features and information
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Claim NVIDIA Parabricks and update features and information