Explore what’s next in AI and accelerated computing at GTC, March 17–21.
Explore what’s next in AI and accelerated computing at GTC, March 17–21.
Explore what’s next in AI and accelerated computing at GTC, March 17–21.
Explore what’s next in AI and accelerated computing at GTC, March 17–21.
Explore what’s next in AI and accelerated computing at GTC, March 17–21.
Explore what’s next in AI and accelerated computing at GTC, March 17–21.
Explore what’s next in AI and accelerated computing at GTC, March 17–21.
[Register Now](https://www.nvidia.com/gtc/pricing/?nvid=nv-int-unbr-497903)
[](#)
AI Reasoning at Scale
=====================
Try out DeepSeek-R1’s reasoning capabilities with NVIDIA-hosted APIs or deploy it anywhere with NVIDIA NIM inference microservices.
[Read Blog](https://developer.nvidia.com/blog/build-ai-agents-with-expert-reasoning-capabilities-using-deepseek-r1-nim/)
Tutorials
---------
March 06, 2025
### Accelerate Apache Spark ML on NVIDIA GPUs with Zero Code Change
[Read More](https://developer.nvidia.com/blog/accelerate-apache-spark-ml-on-nvidia-gpus-with-zero-code-change/)
March 06, 2025
### How Using a Reranking Microservice Can Improve Accuracy and Costs of Information Retrieval
[Read More](https://developer.nvidia.com/blog/how-using-a-reranking-microservice-can-improve-accuracy-and-costs-of-information-retrieval/)
March 05, 2025
### Supercharging Live Media Workflows with NVIDIA NIM and NVIDIA Holoscan for Media
[Read More](https://developer.nvidia.com/blog/supercharging-live-media-workflows-with-nvidia-nim-and-nvidia-holoscan-for-media/)
### Latest Releases
* [CUDA Toolkit 12.8](https://developer.nvidia.com/cuda-downloads)
* [DLSS 3.7.20](/rtx/dlss/get-started)
* [HPC SDK 25.1](/hpc-sdk-downloads)
* [Modulus 24.12](/modulus)
* [Nsight Systems 2025.1.1](/nsight-systems)
* [RAPIDS 24.12](https://docs.rapids.ai/install?_gl=1*lckjjx*_ga*MzEwNDE3NDM2LjE3MDkwNjU0Nzg.*_ga_RKXFW6CM42*MTcwOTA2NTY1Mi4xLjEuMTcwOTA2NTY4Mi4zMC4wLjA.#selector)
* [Sionna 0.19.0](/sionna)
* [TensorRT 10](https://developer.nvidia.com/tensorrt/download)
* [Triton Inference Server 2.54.0](https://github.com/triton-inference-server/server)
News
----
March 07, 2025
### Featured Data Center and Cloud Sessions at NVIDIA GTC 2025
[Read More](https://developer.nvidia.com/blog/featured-data-center-and-cloud-sessions-at-nvidia-gtc-2025/)
March 06, 2025
### Top Agentic AI Sessions at NVIDIA GTC 2025
[Read More](https://developer.nvidia.com/blog/top-agentic-ai-sessions-at-nvidia-gtc-2025/)
March 05, 2025
### Top Physical AI and Robotics Sessions at NVIDIA GTC 2025
[Read More](https://nvda.ws/3XSuKab)
March 05, 2025
### Stream AR Experiences to the Apple iPad with NVIDIA Omniverse
[Read More](https://developer.nvidia.com/blog/stream-ar-experiences-to-the-apple-ipad-with-nvidia-omniverse/)
Training
--------
### Get NVIDIA AI Certified
Join NVIDIA Certification experts, certified professionals, and NVIDIA recruiters on January 23 for practical exam preparation tips and the advantages of certification. Get your questions answered with a live Q&A.
[Register Now](https://www.nvidia.com/en-us/events/get-ready-for-nvidia-certification/)
### Accelerate 3D Development Workflows With OpenUSD
Supercharge your 3D workflows with Learn OpenUSD, a free learning path designed to help you harness the full potential of OpenUSD.
[Learn More](https://www.nvidia.com/en-us/learn/learning-path/openusd/)
### Explore Learning Paths for Generative AI and Large Language Models
Elevate your technical skills in generative AI (gen AI) and large language models (LLM) with our comprehensive learning paths.
[Learn More](https://www.nvidia.com/en-us/learn/learning-path/generative-ai-llm/)
### Additional Resources
* [Instructor-Led Workshops](https://www.nvidia.com/en-us/training/instructor-led-workshops/?nvid=nv-int-bnr-827289#cid=dli01_nv-int-bnr_en-us)
* [Self-Paced Courses](https://www.nvidia.com/en-us/training/online/?nvid=nv-int-bnr-827289#cid=dli01_nv-int-bnr_en-us)
* [Full Course Catalog](https://nvdam.widen.net/s/wlbgbqr7cj/nvidia-learning-training-course-catalog/?nvid=nv-int-bnr-827289#cid=dli01_nv-int-bnr_en-us)
* [Learning Paths](https://nvdam.widen.net/s/brxsxxtskb/dli-learning-journey-2009000-r5-web/?nvid=nv-int-bnr-827289#cid=dli01_nv-int-bnr_en-us)
* [Enterprise Training Solutions](https://www.nvidia.com/en-us/training/enterprise-solutions/?nvid=nv-int-bnr-827289#cid=dli01_nv-int-bnr_en-us)
* [Free Courses](https://www.nvidia.com/en-us/training/online/#free-courses/?nvid=nv-int-bnr-827289#cid=dli01_nv-int-bnr_en-us)
* [Training Videos On Demand](https://www.nvidia.com/en-us/on-demand/playlist/playList-c395267f-7c85-4a96-90bb-574392cbd162/?nvid=nv-int-bnr-827289#cid=dli01_nv-int-bnr_en-us)
Check Out Recommended GTC 2025 Sessions
---------------------------------------
#### AI for Humanoid Robots
Humanoid robotics hardware is seeing a major acceleration in progress. It's reasonable to expect commercially viable humanoid hardware to exist within three years. The question is, how do we build the AI that can make these robots helpful? Humanoids have high dimensional action spaces and high dimensional multimodal observation space, posing challenges to existing paradigms. We'll explore these challenges in more depth and highlight some promising paths forward.
[**See Session**](https://www.nvidia.com/gtc/session-catalog/#/session/1727997356608001TDTS)
#### CUDA: New Features and Beyond
The CUDA platform is the foundation of the GPU computing ecosystem. Every application and framework that uses the GPU does so through CUDA's libraries, compilers, runtimes and language — which means CUDA is growing as fast as its ecosystem is evolving. At this engineering-focused talk by one of the architects of CUDA, you'll learn what's new and what's coming next for both CUDA and GPU computing as a whole.
[**See Session**](https://www.nvidia.com/gtc/session-catalog/#/session/1726614035480001yvEQ)
#### An Introduction to NVIDIA Cosmos World Foundation Models
NVIDIA Cosmos is transforming how robots and autonomous vehicles learn, accelerating physics-aware synthetic video generation with world foundation models. Join Ming-Yu, NVIDIA’s VP of Generative AI Research, to see how Cosmos is democratizing physical AI development—giving developers open models and tools to build custom world models faster than ever.
[**See Session**](https://www.nvidia.com/gtc/session-catalog/#/session/1727110519296001QI6V)
#### AI Agents in Production: Insights and Future Directions
As a leading developer platform for generative AI orchestration, LangChain has been at the forefront of the journey of AI agents from experimental concepts to essential components in production systems. We'll cover key lessons learned from LangChain’s experience enabling customers to develop, deploy, and manage enterprise AI agents in production at scale, and will explore emerging technologies that will shape the future.
[**See Session**](https://www.nvidia.com/gtc/session-catalog/#/session/1727903024337001UIbD)
#### An Introduction to Building Humanoid Robots
Developers are building more intelligent, responsive, and efficient humanoid robots capable of transforming industries such as manufacturing, healthcare, and retail. NVIDIA is building Isaac GR00T — a platform for developing humanoid robots. Isaac GR00T has four parts: robot foundation models for cognition and control, simulation frameworks built on NVIDIA Omniverse and Cosmos, data pipelines for generating synthetic data and environments, and finally — a supercomputer in the robot Jetson AGX Thor. This engaging session will cover the latest advancements in each of the four pillars of the platform built by NVIDIA Research and Engineering through concrete use cases and examples.
[**See Session**](https://www.nvidia.com/gtc/session-catalog/#/session/1727464623182001S2li)
#### Advancing AI to Build the Most-Trusted Driver
We'll present some of Waymo's latest AI research, with a focus on expanding the capabilities of Waymo's autonomous vehicle stack, and those of the simulator that helps Waymo evaluate their performance and safety.
[**See Session**](https://www.nvidia.com/gtc/session-catalog/#/session/1727887107684001i7zG)
On-Demand Videos
----------------
GTC24 Top Developer Talks(10 sessions)
[See All](https://www.nvidia.com/en-us/on-demand/playlist/playList-180a791b-0239-4af2-824b-9e3e7d555a47/)
[
53:47
Transforming AI
Aidan Gomez, Cohere
](https://www.nvidia.com/en-us/on-demand/session/gtc24-s63046?playlistId=playList-180a791b-0239-4af2-824b-9e3e7d555a47)
[
50:08
CUDA: New Features and Beyond
Stephen Jones (SW), NVIDIA
](https://www.nvidia.com/en-us/on-demand/session/gtc24-s62400?playlistId=playList-180a791b-0239-4af2-824b-9e3e7d555a47)
[
40:58
What’s Next in Generative AI
Brad Lightcap, OpenAI
](https://www.nvidia.com/en-us/on-demand/session/gtc24-s62430?playlistId=playList-180a791b-0239-4af2-824b-9e3e7d555a47)
[
50:54
Fireside Chat With Fei-Fei Li and Bill Dally: The …
Bill Dally, NVIDIA
](https://www.nvidia.com/en-us/on-demand/session/gtc24-s61069?playlistId=playList-180a791b-0239-4af2-824b-9e3e7d555a47)
[
45:56
A Culture of Open and Reproducible Research, …
Joelle Pineau, Meta
](https://www.nvidia.com/en-us/on-demand/session/gtc24-s62219?playlistId=playList-180a791b-0239-4af2-824b-9e3e7d555a47)
[
49:25
Insights from NVIDIA Research
Bill Dally, NVIDIA
](https://www.nvidia.com/en-us/on-demand/session/gtc24-s62226?playlistId=playList-180a791b-0239-4af2-824b-9e3e7d555a47)
[
55:23
How To Write A CUDA Program: The Ninja Edition
Stephen Jones (SW), NVIDIA
](https://www.nvidia.com/en-us/on-demand/session/gtc24-s62401?playlistId=playList-180a791b-0239-4af2-824b-9e3e7d555a47)
[
01:04:57
Deploying, Optimizing, and Benchmarking Large …
Guan Luo, NVIDIA
](https://www.nvidia.com/en-us/on-demand/session/gtc24-s62531?playlistId=playList-180a791b-0239-4af2-824b-9e3e7d555a47)
[
48:16
Fireside Chat With Kanjun Qiu and Bryan …
Bryan Catanzaro, NVIDIA
](https://www.nvidia.com/en-us/on-demand/session/gtc24-s62577?playlistId=playList-180a791b-0239-4af2-824b-9e3e7d555a47)
[
56:55
Retrieval Augmented Generation: Overview of …
Dora Csillag, NVIDIA
](https://www.nvidia.com/en-us/on-demand/session/gtc24-s62744?playlistId=playList-180a791b-0239-4af2-824b-9e3e7d555a47)
Access the latest NVIDIA developer tools, technology, and training.
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Transforming AI
CUDA: New Features and Beyond
What’s Next in Generative AI
Fireside Chat With Fei-Fei Li and Bill Dally: The …
A Culture of Open and Reproducible Research, …
Insights from NVIDIA Research
How To Write A CUDA Program: The Ninja Edition
Deploying, Optimizing, and Benchmarking Large …
Fireside Chat With Kanjun Qiu and Bryan …
Retrieval Augmented Generation: Overview of …
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