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NVIDIA NIM for Scaling Generative AI App Development



NVIDIA NIM for Scaling Generative AI App Development: NVIDIA NIM @NVIDIAAIDev is the fastest way to deploy AI models on …

Title: NVIDIA NIM: Revolutionizing Generative AI App Development with Scalability

In the rapidly evolving world of artificial intelligence (AI), NVIDIA has unveiled a groundbreaking tool called NVIDIA NeMo Inference Manager (NIM). This development is noteworthy as it aims to streamline and scale the process of creating generative AI applications.

NVIDIA NIM is designed to address the challenges that developers face when deploying AI models at scale. It simplifies the inference process, allowing developers to focus more on the creative aspects of AI development rather than the intricacies of deployment.

The introduction of NVIDIA NIM is particularly relevant in today's AI landscape, where the demand for scalable, efficient, and user-friendly AI solutions is ever-increasing. As AI applications become more prevalent in various industries, the need for tools that can manage and optimize these solutions efficiently becomes crucial.

NVIDIA NIM offers several key features that make it an attractive option for developers. It provides automatic model optimization, enabling developers to deploy their models with minimal configuration. Additionally, it offers multi-model serving, allowing developers to serve multiple models simultaneously, further enhancing scalability.

Moreover, NVIDIA NIM is designed to work seamlessly with other NVIDIA AI tools, such as NeMo, TensorRT, and Triton Inference Server. This integration allows developers to leverage the full potential of the NVIDIA AI ecosystem.

In conclusion, NVIDIA NIM represents a significant step forward in the development of generative AI applications. By offering a scalable, efficient, and user-friendly solution, it promises to make AI development more accessible to a wider audience. As AI continues to revolutionize various industries, tools like NVIDIA NIM will play a crucial role in driving this transformation.

This information is new, as NVIDIA NIM was officially announced on March 21, 2023, during the GTC 2023 conference. The tool is currently in beta and is expected to be available for public use later this year.


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14 Comments

  • Mam can you please make a video on Image classification using Faster ViT and other transformer models…

  • I like to ask one important question that all big companies going to provide apis which will do multimodal, which can be handled by machine learning engineer or SE, what is the purpose of data scientist. I think it will vanish in India because here most of them going to use api alone, right?. I think current llm can do both frontend and backend codes well, then whether the count of SE will be reduced ( mostly my view)….by Senior Data Scientist…..

  • @Code With Aarohi Mam can you please make a video on Image Classification using Pre Trained Swin Transformer.

  • Your courses are fantastic, including those for the Jetson Nano; please look into creating further videos on the NVIDIA stack, such as Nemo, accelerators, guardrails, and so on. If such a course already exists, please let me know. I am quite interested in learning more about them.

  • Great work, your videos on Jetson have been really helpful.

    Your contact info links on your profile are broken, can you update your linkedin/website or share some other means of contact?

  • Can you help me with a project to identify works of art such as drawings, sculptures, and photographs?❤

  • can u create a video where we create 3d bounding box from a 2D bounding box about vehicles , pedestrians etc.

  • Hello MAM. I am using bytracker and yolo v8 but what happens when people cross each other of if they overlap all just moves id keeps changing . what we can use for continuous tracking . and thanks for being my guru , by watching your videos i learned

  • Hello mam first upon thanks for your all videos. Mam i request you please upload video on custom object classification using yolov8s . Model Training, validation and testing done with puthon script

  • Super video aarohi.lots of love from Lahore Pakistan

  • Most of the company people do not afford nvidia, so they will use bedrock/azure openai or studio mostly….

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TechTrends Tom

TechTrends Tom

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Welcome to the world of TechTrends Tom, where technology meets adventure and current events shape tomorrow’s innovations. Tom is a passionate blogger with an insatiable curiosity for the latest in tech, the thrill of exploration, and the pulse of the news cycle. His blog is a dynamic space where readers can dive into cutting-edge tech reviews, follow his adventurous exploits around the globe, and stay informed on the events that are transforming our world.

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