Revolutionizing AI: Azure and NVIDIA Unveil Cutting-Edge GPU Acceleration

Azure and NVIDIA Deliver Next-Gen GPU Acceleration for AI

Microsoft Azure users can now leverage the latest advancements in NVIDIA’s accelerated computing technology, transforming how generative AI applications are trained and deployed. The integration of Azure ND H100 v5 virtual machines (VMs) featuring NVIDIA H100 Tensor Core GPUs and Quantum-2 InfiniBand networking facilitates effortless scaling for both generative AI and high-performance computing applications with just a click.

This groundbreaking collaboration is timely, as developers and researchers explore the vast potential of large language models (LLMs) and accelerated computing to foster innovative consumer and business applications. NVIDIA’s H100 GPU achieves supercomputing-class performance through several architectural enhancements. These advancements include fourth-generation Tensor Cores, a new Transformer Engine designed to accelerate LLMs, and NVLink technology that enhances inter-GPU communication speeds to an impressive 900GB/sec.

The NVIDIA Quantum-2 CX7 InfiniBand, which boasts 3,200 Gbps of cross-node bandwidth, guarantees exceptional performance across GPUs, even at large scales. This technology rivals the computational power found in the most advanced supercomputers globally. The ND H100 v5 VMs are particularly capable of training and inferring complex LLMs and computer vision models, which drive the most demanding generative AI tasks, such as question answering, code generation, and multimedia synthesis.

One of the standout features of the ND H100 v5 VMs is their ability to provide up to a 2x speedup in LLM inference. This was notably demonstrated with the BLOOM 175B model compared to earlier generation instances, highlighting their efficiency in optimizing AI applications and fostering innovation across various sectors.

The collaboration between NVIDIA H100 Tensor Core GPUs and Microsoft Azure equips enterprises with unmatched capabilities in AI training and inference. This partnership further streamlines the lifecycle of production AI, enhanced by the integration of the NVIDIA AI Enterprise software suite and Azure Machine Learning for MLOps. Their joint efforts have resulted in significant AI performance advancements, validated by industry-standard MLPerf benchmarks.

Moreover, the integration of the NVIDIA Omniverse platform with Azure broadens the impact of this partnership, offering users essential tools for industrial digitalization and AI supercomputing.

(Image Credit: Uwe Hoh from Pixabay)

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