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Get technical training, developer insights, and access to experts at GTC. March
18-21. See recommended sessions.

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Connect With the Experts: Using CUDA and the CUDA Toolkit Effectively to
Accelerate Your Applications
The latest release of CUDA has multiple features that will reduce your
programming time, create more efficient code, and help accelerate your
applications. Support for new NVIDIA Hopper GPU hardware architecture,
Transformer Engine for AI large language model workloads, heterogeneous memory
management, and enhancements to multi-process service prioritization top the
list of new capabilities. *IMPORTANT: Connect with the Experts sessions are
interactive sessions that give you a unique opportunity to meet, in either a
group or 1:1 setting, with the minds behind NVIDIA’s products and research to
get your questions answered. Attendees will be able to meet with experts on a
first come, first served basis.
View Session

CUTLASS: A Performant, Flexible, and Portable Way to Target Hopper Tensor Cores
NVIDIA’s H100 introduced fourth-generation Tensor Cores to GPU computing, with
over twice the peak performance of the previous generation. This session will
build on our GTC’23 session. We'll describe how the latest version of CUTLASS
leverages Hopper features for peak performance, covering major new features
since its release last year including convolutions, fused epilogue visitors,
Python interface, PortablePipelinedMMA, and more. Our discussion is aimed at
those who wish to implement custom kernels for machine learning and HPC
applications that achieve peak performance.
View Session

Connect With the Experts: What's in Your CUDA Toolbox? CUDA Profiling,
Optimization, and Debugging Tools
We'll provide a brief overview of the NVIDIA Nsight family of tools and
debuggers. We'll introduce the latest features for debugging, profiling, and
optimizing CUDA compute applications on the newest platforms. Several experts
from the tools development and management teams will be available to talk about
getting started, best practices, and advanced techniques for application
debugging and optimization with NVIDIA developer tools. You can ask questions
about anything from high-level concepts to specific tools details, and also
discuss plans and suggestions for improving the tools in the future. *IMPORTANT:
Connect with the Experts sessions are interactive sessions that give you a
unique opportunity to meet, in either a group or 1:1 setting, with the minds
behind NVIDIA’s products and research to get your questions answered. Attendees
will be able to meet with experts on a first come, first served basis.
View Session
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CUDA TOOLKIT

The NVIDIA® CUDA® Toolkit provides a development environment for creating
high-performance, GPU-accelerated applications. With it, you can develop,
optimize, and deploy your applications on GPU-accelerated embedded systems,
desktop workstations, enterprise data centers, cloud-based platforms, and
supercomputers. The toolkit includes GPU-accelerated libraries, debugging and
optimization tools, a C/C++ compiler, and a runtime library.




THE FEATURES OF CUDA 12


BUILT-IN CAPABILITIES FOR EASY SCALING

Using built-in capabilities for distributing computations across multi-GPU
configurations, you can develop applications that scale from single-GPU
workstations to cloud installations with thousands of GPUs.


Learn More


NEW RELEASE, NEW BENEFITS

CUDA 12 introduces support for the NVIDIA Hopper™ and Ada Lovelace
architectures, Arm® server processors, lazy module and kernel loading, revamped
dynamic parallelism APIs, enhancements to the CUDA graphs API,
performance-optimized libraries, and new developer tool capabilities.


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SUPPORT FOR HOPPER

Support for the Hopper architecture includes next-generation Tensor Cores and
Transformer Engine, the high-speed NVIDIA NVLink® Switch, mixed-precision modes,
second-generation Multi-Instance GPU (MIG), advanced memory management, and
standard C++/Fortran/Python parallel language constructs.


Learn More

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TUTORIALS

CUDA Developer Tools is a series of tutorial videos designed to get you started
using NVIDIA Nsight™ tools for CUDA development. It explores key features for
CUDA profiling, debugging, and optimizing.



CUDA COMPATIBILITY

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CUDA UPGRADES FOR JETSON DEVICES

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PROFILING AND DEBUGGING APPLICATIONS

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GTC DIGITAL WEBINARS

Dive deeper into the latest CUDA features.


INSIDE THE NVIDIA HOPPER ARCHITECTURE

Explore what's new with the NVIDIA Hopper architecture and its implementation in
the NVIDIA H100 Tensor Core GPU.

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CUDA—NEW FEATURES AND BEYOND

Learn what's new in the CUDA Toolkit, including the latest and greatest features
in the CUDA language, compiler, libraries, and tools—and get a sneak peek at
what's coming up over the next year.


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CUDA ON NVIDIA HOPPER GPU ARCHITECTURE

Learn how to leverage the NVIDIA Hopper architecture’s capabilities to take your
algorithms to the next level of performance.

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See All


CUSTOMER STORIES

See how developers, scientists, and researchers are using CUDA today.



USING HPC TO EXPLORE THE UNIVERSE

Wes Armour, director at the Oxford e-Research Centre, discusses the role of GPUs
in processing large amounts of astronomical data collected by the Square
Kilometre Array and how CUDA is the best-suited option for their signal
processing software.


Watch Video


OPENING A NEW ERA OF DRUG DISCOVERY WITH AMBER

David Cerutti and Taisung Lee from Rutgers University share how Amber,
harnessing CUDA, is advancing multiple scientific domains and opening a new era
of drug discovery and design.



Watch Video


VISUALIZING AND SIMULATING ATOMIC STRUCTURES

John Stone, senior research programmer at the Beckman Institute at the
University of Illinois, Urbana-Champaign, discusses how CUDA and GPUs are used
to process large datasets to visualize and simulate high-resolution atomic
structures.


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CUDA ECOSYSTEM

Explore the top compute and graphics packages with built-in CUDA integration.





FEATURED BLOGS







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LATEST NEWS






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FREE TOOLS AND TRAININGS FOR DEVELOPERS

Get exclusive access to hundreds of SDKs, technical trainings, and opportunities
to connect with millions of like-minded developers, researchers, and students.


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RESOURCES


CUDA DOCUMENTATION AND RELEASE NOTES

Documentation library containing in-depth technical information on the CUDA
Toolkit.



Learn more


CUDA 12 FEATURES REVEALED

A technical blog on the CUDA Toolkit 12.0’s features and capabilities.




Learn more


CUDA TOOLKIT IN THE NGC CATALOG

CUDA containers are available to download from NGC™—along with other NVIDIA
GPU-accelerated SDKs and AI models—to help accelerate your applications.


Learn more


ALL CUDA TECHNICAL BLOGS

An archive of CUDA technical blogs covering key features and capabilities,
written by engineers for engineers.


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CUDA-X™ LIBRARIES

A suite of AI, data science, and math libraries developed to help developers
accelerate their applications.


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TRAINING

Self-paced or instructor-led CUDA training courses for developers through the
NVIDIA Deep Learning Institute (DLI).


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NSIGHT DEVELOPER TOOLS

NVIDIA Nsight Compute and Nsight System suite of tools designed to help
developers optimize and increase performance of their applications.


Learn more


SAMPLE CUDA CODE

GitHub repository of sample CUDA code to help developers learn and ramp up
development of their GPU-accelerated applications.



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NVIDIA DEVELOPER FORUMS

An information exchange to help developers get answers to their technical
questions directly from NVIDIA engineers.



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BUG SUBMISSION

NVIDIA Engineering’s own bug tracking tool and database where developers can
submit technical bugs.


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