About NVIDIA
NVIDIA Webinar
Job Role: Accelerating Science and Engineering
Qualification: Bachelors / Masters Degree
Experience: Any
Batch: Any Batch
Salary:
Job Location: Remote
Last Date: ASAP
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NVIDIA® CUDA® is a comprehensive platform of development tools for creating and deploying high-performance GPU-accelerated applications across desktops, data centers, cloud, supercomputers, and embedded systems — powering innovations in robotics, autonomous machines, edge AI and Cloud.
Developers, researchers, and inventors across a wide range of domains use CUDA to significantly accelerate real-world, HPC/AI/Generative AI/LLMs enabled applications by efficiently harnessing the GPU performance.
The freely available NVIDIA CUDA Toolkit equips developers with everything needed to build GPU-accelerated applications—including GPU-optimized libraries, a compiler, development tools, and the CUDA runtime. NVIDIA CUDA-X, built on top of CUDA®, is a collection of micro services, libraries, tools, and technologies for building applications that deliver dramatically higher performance.
Who Should Attend
- Developers experienced in Fortran/C/C++/Python
- HPC/AI architects, researchers, and data scientists building or optimizing real-world applications
Why Attend
Boost your CUDA development skills and gain exclusive access to NVIDIA’s developer resources, including tutorials, best practices, and starter kits. Register now and take the next step in accelerating your AI and scientific computing projects with NVIDIA CUDA
Prerequisites
- Proficiency in Fortran/C/C++ or Python
- Familiarity with accelerated computing
- Basic knowledge of GPU computing
Learnings
In this webinar, you’ll learn:
- Explore multiple approaches to NVIDIA GPU acceleration
- Gain a comprehensive understanding of NVIDIA CUDA and CUDA-X Libraries
- Discover new CUDA features to take advantage of Blackwell
- Learn end-to-end aspects of application development—from debugging and optimization to performance profiling using NVIDIA Nsight Systems —alongside a showcase of recent innovations in CUDA
- See real-world examples, including AI in Science and Llama 3.1 acceleration
Don’t miss this opportunity to enhance your expertise or master a new technology. Plus, receive a free NVIDIA self-paced training course (valued at up to USD 90) when you attend this webinar.
How to Apply For NVIDIA In 2024?
Dreaming of a NVIDIA career. Follow these simple steps to apply for their 2024 opportunities:
- Click “Apply Here“: Head straight to the NVIDIA career page using the button below.
- Start Your Application: Hit “Apply“ to begin.
- Register or Login: Create an account if you‘re new, or login if you‘re already registered.
- Complete the Form: Fill in all required details accurately.
- Upload Documents: Submit your resume and any other requested documents.
- Review and Verify: Double–check all information before submitting.
- Submit: Hit submit and take a step closer to your dream career.
Apply Link For NVIDIA – Apply Here
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