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About

The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.

About

zymtrace is a continuous profiling and observability platform designed to help engineers optimize the performance of modern computing workloads that run across both CPUs and GPUs. It provides deep system-level visibility into how applications, AI models, and infrastructure consume computing resources, allowing developers to identify inefficiencies and performance bottlenecks without modifying their code or restarting systems. Built with eBPF-based profiling technology, zymtrace collects performance data across the full execution stack, from high-level application code and runtime libraries down to the Linux kernel and GPU instructions, enabling a unified analysis of heterogeneous workloads. It correlates GPU activity with the CPU code paths that launch it, bridging a common gap in traditional observability tools that typically treat GPUs as black boxes and provide only surface-level metrics.

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

Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs

Audience

AI engineers, infrastructure teams, and developers who need a platform to profile and optimize CPU- and GPU-accelerated workloads in large-scale computing and machine learning systems

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

No information available.
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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Review this Software

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/rapids

Company Information

zymtrace
Founded: 2024
United States
zymtrace.com

Alternatives

Alternatives

Categories

Categories

Integrations

.NET
Amazon S3
Apache Spark
Capital One Spark Business Banking
Gradient
HEAVY.AI
Java
Kinetica
Kubernetes
NVIDIA DRIVE
Node.js
Nuclio
OpenTelemetry
Perl
Plotly Dash
R
Ruby
Zig

Integrations

.NET
Amazon S3
Apache Spark
Capital One Spark Business Banking
Gradient
HEAVY.AI
Java
Kinetica
Kubernetes
NVIDIA DRIVE
Node.js
Nuclio
OpenTelemetry
Perl
Plotly Dash
R
Ruby
Zig
Claim NVIDIA RAPIDS and update features and information
Claim NVIDIA RAPIDS and update features and information
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