Copied


NVIDIA and Microsoft Join Forces to Accelerate AI Applications

Alvin Lang   May 24, 2024 01:32 1 Min Read


NVIDIA and Microsoft Expand Partnership

In a bid to help developers build and deploy AI applications at a faster pace, NVIDIA has expanded its collaboration with Microsoft. According to the NVIDIA Blog, the latest AI models developed by Microsoft will now be optimized to run on NVIDIA GPUs. These AI models will be made available as NVIDIA NIM inference microservices.

Optimizing AI Models for NVIDIA GPUs

This strategic partnership aims to leverage the power of NVIDIA's graphics processing units (GPUs) to enhance the performance of Microsoft's AI models. By optimizing these models for NVIDIA GPUs, developers will be able to build and deploy AI applications at a much faster pace. It is also expected to increase the efficiency and effectiveness of these applications.

AI Development Made Easier

The collaboration between NVIDIA and Microsoft is set to simplify the process of AI development. By providing developers with NVIDIA NIM inference microservices, they will have a more streamlined approach to building and deploying AI applications. This will not only save time but will also ensure a higher quality of applications.

Conclusion

The extended partnership between NVIDIA and Microsoft is a significant step in the right direction for AI development. By combining the expertise of both companies, developers are set to benefit immensely. This collaboration will help in the rapid development and deployment of AI applications, thereby contributing to the advancement of technology.


Read More
NVIDIA, Alphabet, and Google collaborate to advance AI, focusing on robotics, drug discovery, and energy grids, leveraging NVIDIA's platforms and Google's cloud infrastructure.
Microsoft and NVIDIA collaborate to significantly boost Meta Llama model performance on Azure AI Foundry using NVIDIA TensorRT-LLM optimizations, enhancing throughput, reducing latency, and improving cost efficiency.
Bitcoin (BTC) has held the top spot in the cryptocurrency world since its creation in 2009. It remains the largest and most recognized digital asset by market capitalization.
Institutional interest in crypto surges; regulatory clarity and tokenization reshape the landscape.
AI and blockchain converge, enabling decentralized data ownership and real-time integration for better predictions.
Crypto for Everyone: Crypto must focus on real-world utility and user experience to gain mainstream acceptance and rebuild trust.
Online casinos have experienced rapid growth during the last decade as they have had to overcome security issues all while working to establish transparency.
Blockchain technology transformed digital transactions, with crypto apps playing a crucial role in this transformation.