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GTC On-Demand

AI Application Deployment and Inference
Presentation
Media
Designing Large-Scale Machine Learning Systems with NVIDIA GPUs and Mellanox Interconnect
Come join us and learn how to build a data-centric GPU cluster for artificial intelligence. Mellanox is a leader in high-performance, scalable, low-latency network interconnects for both InfiniBand and Ethernet. We'll present the state of the art techniques for distributed machine learning, and discuss what special requirements they impose on the system, followed by an overview of interconnect technologies used to scale and accelerate distributed machine learning including RDMA, NVIDIA's GPUDirect technology, and a special focus on the in-network computing SHARP technology used to accelerate large scale deployments in artificial intelligence and high performance computing.
Come join us and learn how to build a data-centric GPU cluster for artificial intelligence. Mellanox is a leader in high-performance, scalable, low-latency network interconnects for both InfiniBand and Ethernet. We'll present the state of the art techniques for distributed machine learning, and discuss what special requirements they impose on the system, followed by an overview of interconnect technologies used to scale and accelerate distributed machine learning including RDMA, NVIDIA's GPUDirect technology, and a special focus on the in-network computing SHARP technology used to accelerate large scale deployments in artificial intelligence and high performance computing.  Back
 
Keywords:
AI Application Deployment and Inference, Advanced AI Learning Techniques (incl. GANs and NTMs), GTC Silicon Valley 2018 - ID S8635
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Data Center and Cloud Infrastructure
Presentation
Media

Come join us, and learn how to build a data-centric GPU clusters for artificial intelligence.  We will briefly present the state-of-the-art techniques for distributed Machine Learning, and the special requirements they impose on the GPU cluster. Additionally, we will present an overview of interconnect technologies used to scale and accelerate distributed Machine Learning.   During the session we will cover RDMA, NVIDIA's GPUDirect RDMA and GPUDirect Asynch as well as in-network-computing and how the use of those technologies enables new level of scalability and performance in large scale deployments in artificial intelligence and high performance computing.    

Come join us, and learn how to build a data-centric GPU clusters for artificial intelligence.  We will briefly present the state-of-the-art techniques for distributed Machine Learning, and the special requirements they impose on the GPU cluster. Additionally, we will present an overview of interconnect technologies used to scale and accelerate distributed Machine Learning.   During the session we will cover RDMA, NVIDIA's GPUDirect RDMA and GPUDirect Asynch as well as in-network-computing and how the use of those technologies enables new level of scalability and performance in large scale deployments in artificial intelligence and high performance computing.    

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Keywords:
Data Center and Cloud Infrastructure, HPC and AI, HPC and Supercomputing, GTC Europe 2017 - ID 23200
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Deep Learning and AI
Presentation
Media
Scaling Machine Learning - Enabling enhanced GPU Performance for AI (Presented by Mellanox)

Come join us, and learn how to build a data-centric GPU cluster for artificial intelligence. Mellanox is a leader in high-performance, scalable, low-latency network interconnects for both InfiniBand and Ethernet. We will briefly present the state of the art techniques for distributed machine learning, and what special requirements they impose on the system, followed by an overview of interconnect technologies used to scale and accelerate distributed machine learning including RDMA, NVIDIA's GPUDirect technology and in-network computing use to accelerates large scale deployments in HPC and artificial intelligence.

Come join us, and learn how to build a data-centric GPU cluster for artificial intelligence. Mellanox is a leader in high-performance, scalable, low-latency network interconnects for both InfiniBand and Ethernet. We will briefly present the state of the art techniques for distributed machine learning, and what special requirements they impose on the system, followed by an overview of interconnect technologies used to scale and accelerate distributed machine learning including RDMA, NVIDIA's GPUDirect technology and in-network computing use to accelerates large scale deployments in HPC and artificial intelligence.

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Keywords:
Deep Learning and AI, GTC Israel 2017 - ID SIL7120
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Accelerating Deep Learning Applications (Presented by Mellanox Technologies)
Come join us and learn how to build a data-centric GPU cluster for artificial intelligence. Mellanox is a leader in high-performance, scalable, low-latency network interconnects for both InfiniBand and Ethernet. We will briefly present the state of the art techniques for distributed machine learning and what special requirements they impose on the system, followed by an overview of interconnect technologies used to scale and accelerate distributed machine learning including RDMA, NVIDIA's GPUDirect technology, and in-network computing used to accelerate large scale deployments in HPC and artificial intelligence.
Come join us and learn how to build a data-centric GPU cluster for artificial intelligence. Mellanox is a leader in high-performance, scalable, low-latency network interconnects for both InfiniBand and Ethernet. We will briefly present the state of the art techniques for distributed machine learning and what special requirements they impose on the system, followed by an overview of interconnect technologies used to scale and accelerate distributed machine learning including RDMA, NVIDIA's GPUDirect technology, and in-network computing used to accelerate large scale deployments in HPC and artificial intelligence.  Back
 
Keywords:
Deep Learning and AI, GTC Israel 2018 - ID SIL8145
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