What is NVIDIA Hopper-based Gen AI with the Power of TensorRT-LLM?

In the realm of generative AI, where breakthroughs are measured in performance and efficiency, NVIDIA’s Hopper architecture has emerged as the indisputable champion in industry-standard tests, showcasing the unrivaled capabilities of TensorRT-LLM software. 

The latest MLPerf benchmarks attest to the remarkable performance enhancement, with NVIDIA Hopper-based systems achieving nearly three times the speed of their previous results, just within six months. Read here for the official release

At the heart of this revolutionary advancement lies TensorRT-LLM, a software solution designed to streamline the intricate process of inference on large language models (LLMs). 

This achievement underscores NVIDIA’s commitment to delivering a comprehensive platform encompassing cutting-edge chips, systems, and software tailored to meet the formidable demands of generative AI.

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At the heart of this breakthrough are the H200 Tensor Core GPUs, equipped with memory-enhanced capabilities that redefine the boundaries of AI processing. 

These GPUs, featuring 141GB of HBM3e memory operating at an astounding 4.8 TB/s, have propelled inference speeds to unprecedented levels, reaching up to 31,000 tokens per second on the monumental Llama 2 benchmark.

But NVIDIA’s relentless pursuit of innovation doesn’t stop there. The GH200 Superchips raise the bar even further, packing up to 624GB of fast memory and incorporating a power-efficient NVIDIA Grace CPU. 

With nearly 5 TB/s of memory bandwidth, these Superchips deliver exceptional performance across a range of memory-intensive AI tasks, including recommender systems.

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Moreover, NVIDIA’s commitment to openness and transparency is evident in its participation in the MLPerf benchmarks, where it consistently sweeps every test, reaffirming its position as the trusted source for AI solutions. 

Through a combination of advanced techniques such as structured sparsity, pruning, and DeepCache optimization, NVIDIA continues to redefine the possibilities of inference, paving the way for more cost-effective and efficient AI deployments worldwide.

As the demands of generative AI continue to evolve, NVIDIA remains at the forefront of innovation, poised to deliver the next big breakthrough with the upcoming Blackwell architecture GPUs. With Hopper GPUs and TensorRT-LLM leading the charge, the future of AI inference has never looked more promising.

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