Amr Elmeleegy

Amr Elmeleegy is a principal product marketing manager for accelerated computing in the data center, focused on the NVIDIA AI inference platform. Previously, he held business development and product marketing roles at AWS and SAP. He holds an MBA from the UC Berkeley Haas School of Business and a bachelor’s degree in electrical engineering from Cairo University.
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Posts by Amr Elmeleegy

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Generative AI

3x Faster AllReduce with NVSwitch and TensorRT-LLM MultiShot

Deploying generative AI workloads in production environments where user numbers can fluctuate from hundreds to hundreds of thousands – and where input... 5 MIN READ
Generative AI

NVIDIA GH200 Superchip Accelerates Inference by 2x in Multiturn Interactions with Llama Models

Deploying large language models (LLMs) in production environments often requires making hard trade-offs between enhancing user interactivity and increasing... 7 MIN READ
Data Center / Cloud

NVIDIA Contributes NVIDIA GB200 NVL72 Designs to Open Compute Project

During the 2024 OCP Global Summit, NVIDIA announced that it has contributed the NVIDIA GB200 NVL72 rack and compute and switch tray liquid cooled designs to the... 10 MIN READ
Data Center / Cloud

NVIDIA GH200 Grace Hopper Superchip Delivers Outstanding Performance in MLPerf Inference v4.1

In the latest round of MLPerf Inference – a suite of standardized, peer-reviewed inference benchmarks – the NVIDIA platform delivered outstanding... 7 MIN READ
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Generative AI

NVIDIA Triton Inference Server Achieves Outstanding Performance in MLPerf Inference 4.1 Benchmarks

Six years ago, we embarked on a journey to develop an AI inference serving solution specifically designed for high-throughput and time-sensitive production use... 8 MIN READ
Data Center / Cloud

NVIDIA GH200 Superchip Delivers Breakthrough Energy Efficiency and Node Consolidation for Apache Spark

With the rapid growth of generative AI, CIOs and IT leaders are looking for ways to reclaim data center resources to accommodate new AI use cases that promise... 8 MIN READ