The ability to use simple APIs to integrate pretrained AI foundation models into products and experiences has significantly increased developer usage of LLM…
Overview
NVIDIA has announced that members of the NVIDIA Developer Program can now access NVIDIA NIM microservices for free, allowing for the rapid deployment of AI model endpoints. This initiative aims to enhance developers' ability to create generative AI applications using popular tools and frameworks.
What You'll Learn
1
How to deploy NVIDIA NIM microservices using a single command
2
Why using NVIDIA TensorRT improves inference performance
3
When to use NIM microservices for testing and research
Key Questions Answered
What are NIM microservices and how do they work?
NIM microservices are GPU-accelerated containers that allow developers to self-host pretrained and customized AI models. They can be deployed with a single command and automatically expose industry-standard APIs for integration into applications, enhancing the development of generative AI solutions.
How can NVIDIA Developer Program members access NIM microservices?
Members of the NVIDIA Developer Program can access downloadable NIM microservices for free, including models like Llama 3.1 8B and Mistral 7B Instruct. They can use these microservices on up to two nodes or 16 GPUs for development, testing, and research purposes.
What are the benefits of using NVIDIA TensorRT with NIM?
Using NVIDIA TensorRT with NIM microservices provides optimized inference engines that deliver low response latency and high throughput. This ensures that the best inference engine is selected at runtime based on the model, GPU, and system configuration.
Key Statistics & Figures
Number of NVIDIA Developer Program members
over 5M
This large community provides a robust support network for developers utilizing NVIDIA technologies.
Technologies & Tools
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Backend
Nvidia Nim
Used for deploying AI model endpoints for generative AI applications.
Backend
Nvidia Tensorrt
Provides optimized inference engines for low latency and high throughput.
Orchestration
Kubernetes
Supports autoscaling of NIM containers on NVIDIA GPUs.
Key Actionable Insights
1Leverage NVIDIA NIM microservices to accelerate your AI application development process.By utilizing the free access to NIM microservices, developers can quickly test and iterate on their AI models, significantly reducing the time to market for new features.
2Take advantage of the community and resources available through the NVIDIA Developer Program.Engaging with the community can provide valuable insights and support, helping developers overcome challenges and improve their applications.