Robert Sohigian – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2023-06-12T08:37:05Z http://www.open-lab.net/blog/feed/ Robert Sohigian <![CDATA[Deploying a 1.3B GPT-3 Model with NVIDIA NeMo Framework]]> http://www.open-lab.net/blog/?p=56807 2023-06-12T08:37:05Z 2022-11-04T21:35:25Z Large language models (LLMs) are some of the most advanced deep learning algorithms that are capable of understanding written language. Many modern LLMs are...]]>

Large language models (LLMs) are some of the most advanced deep learning algorithms that are capable of understanding written language. Many modern LLMs are built using the transformer network introduced by Google in 2017 in the Attention Is All You Need research paper. NVIDIA NeMo framework is an end-to-end GPU-accelerated framework for training and deploying transformer-based LLMs up to a…

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Robert Sohigian <![CDATA[Automatic Defect Inspection Using the NVIDIA End-to-End Deep Learning Platform]]> http://www.open-lab.net/blog/?p=15744 2022-08-21T23:39:38Z 2019-10-16T21:25:39Z Quality requirements for manufacturers are increasing to meet customer demands. Manual inspection is usually required to guarantee product quality, but this...]]>

Quality requirements for manufacturers are increasing to meet customer demands. Manual inspection is usually required to guarantee product quality, but this requires significant cost and can result in production bottlenecks, lowered productivity, and reduced efficiency. Defect inspection for industrial applications has unique characteristics and challenges compared to other computer vision…

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Robert Sohigian <![CDATA[NVIDIA DGX SuperPOD Delivers World Record Supercomputing to Any Enterprise]]> http://www.open-lab.net/blog/?p=14829 2022-08-21T23:39:30Z 2019-06-17T07:01:20Z The NVIDIA DGX SuperPOD™?simplifies how the world approaches supercomputing, delivering world-record setting performance that can now be acquired by...]]>

The NVIDIA DGX SuperPOD simplifies how the world approaches supercomputing, delivering world-record setting performance that can now be acquired by every enterprise in weeks instead of years. NVIDIA sets the bar once again in supercomputing, building a well-balanced system with 96 NVIDIA® DGX-2H servers containing 1,536 NVIDIA Tesla® V100 SXM3 GPUs. The DGX SuperPOD has earned the 22nd spot on the…

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Robert Sohigian <![CDATA[NVSwitch Accelerates NVIDIA DGX-2]]> http://www.open-lab.net/blog/?p=11571 2022-08-21T23:39:00Z 2018-08-21T16:15:04Z NVIDIA CEO Jensen Huang described the NVIDIA??DGX-2™ server as "the world's largest GPU" at its launch during GPU Technology Conference earlier this...]]>

NVIDIA CEO Jensen Huang described the NVIDIA® DGX-2 server as “the world’s largest GPU” at its launch during GPU Technology Conference earlier this year. DGX-2 comprises 16 NVIDIA Tesla V100 32 GB GPUs and other top-drawer components (two 24 core Xeon CPUs, 1.5 TB of DDR4 DRAM memory, and 30 TB of NVMe storage) in a single system, delivering two petaFLOPS of performance, qualifying it as one of…

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