Microsoft Azure Users Can Now Harness the Latest Advances in NVIDIA’s Accelerated Computing Technology
Microsoft Azure users are now able to harness the latest advancements in NVIDIA’s accelerated computing technology, revolutionizing the training and deployment of their generative AI applications.
Seamless Scaling of Generative AI and High-Performance Computing Applications
The integration of Azure ND H100 v5 virtual machines (VMs) with NVIDIA H100 Tensor Core GPUs and Quantum-2 InfiniBand networking promises seamless scaling of generative AI and high-performance computing applications, all at the click of a button.
Cutting-Edge Collaboration
This cutting-edge collaboration comes at a pivotal moment when developers and researchers are actively exploring the potential of large language models (LLMs) and accelerated computing to unlock novel consumer and business use cases.
NVIDIA’s H100 GPU
NVIDIA’s H100 GPU achieves supercomputing-class performance through an array of architectural innovations, including fourth-generation Tensor Cores, a new Transformer Engine for enhanced LLM acceleration, and NVLink technology that propels inter-GPU communication to unprecedented speeds of 900GB/sec.
Quantum-2 InfiniBand
The integration of the NVIDIA Quantum-2 CX7 InfiniBand – boasting 3,200 Gbps cross-node bandwidth – ensures flawless performance across GPUs, even at massive scales. This capability positions the technology on par with the computational capabilities of the world’s most advanced supercomputers.
Accelerated LLM Inference
The newly introduced ND H100 v5 VMs hold immense potential for training and inferring increasingly intricate LLMs and computer vision models. These neural networks power the most complex and compute-intensive generative AI applications, spanning from question answering and code generation to audio, video, image synthesis, and speech recognition.
2x Speedup in LLM Inference
A standout feature of the ND H100 v5 VMs is their ability to achieve up to a 2x speedup in LLM inference, notably demonstrated by the BLOOM 175B model when compared to previous generation instances. This performance boost underscores their capacity to optimize AI applications further, fueling innovation across industries.
Synergy between NVIDIA and Microsoft Azure
The synergy between NVIDIA H100 Tensor Core GPUs and Microsoft Azure empowers enterprises with unparalleled AI training and inference capabilities. This partnership also streamlines the development and deployment of production AI, bolstered by the integration of the NVIDIA AI Enterprise software suite and Azure Machine Learning for MLOps.
MLPerf Benchmarks
The combined efforts have led to groundbreaking AI performance, as validated by industry-standard MLPerf benchmarks:
[Figure: NVIDIA H100 MLPerf Performance]
Omniverse Integration
The integration of the NVIDIA Omniverse platform with Azure extends the reach of this collaboration further, providing users with everything they need for industrial digitalization and AI supercomputing.
Conclusion
This groundbreaking collaboration between NVIDIA and Microsoft Azure has far-reaching implications for the development and deployment of generative AI applications. By harnessing the power of NVIDIA’s accelerated computing technology, Azure users can now unlock unprecedented levels of performance, innovation, and business value.
FAQs
- What is the impact of this collaboration on the development and deployment of generative AI applications?
- This collaboration enables seamless scaling of generative AI and high-performance computing applications, streamlining the development and deployment of production AI.
- How does the integration of NVIDIA’s H100 GPU and Azure ND H100 v5 VMs enhance AI performance?
- The combination of H100 GPU and ND H100 v5 VMs provides unparalleled AI training and inference capabilities, with a 2x speedup in LLM inference and enhanced performance in various AI applications.
- What is the significance of the integration of NVIDIA’s Omniverse platform with Azure?
- The integration of Omniverse with Azure enables users to unlock the full potential of industrial digitalization and AI supercomputing, empowering them to drive innovation and business value.
