-
Archives
- June 2020
- May 2020
- March 2020
- August 2019
- June 2019
- April 2019
- March 2019
- May 2018
- April 2018
- October 2017
- September 2017
- July 2017
- April 2017
- February 2017
- January 2017
- December 2016
- August 2016
- July 2016
- June 2016
- April 2016
- March 2016
- February 2016
- January 2016
- October 2015
- September 2015
- July 2015
- June 2015
- May 2015
- April 2015
- November 2014
- October 2014
- September 2014
- June 2014
- May 2014
- April 2014
- March 2014
- February 2014
- January 2014
- December 2013
- November 2013
- October 2013
- September 2013
- August 2013
- July 2013
- June 2013
- April 2013
- March 2013
- February 2013
- January 2013
- September 2012
- May 2012
- April 2012
- January 2012
- December 2011
- September 2011
- August 2011
- July 2011
-
Meta
Category Archives: Benchmarking
DGX A100 review: Throughput and Hardware Summary
When NVIDIA launched the Ampere GPU architecture, they also launched their new flagship system for HPC and deep learning – the DGX 100. This system offers exceptional performance, but also new capabilities. We’ve seen immediate interest and have already shipped … Continue reading
What Can You Do with a $15k NVIDIA Data Science Workstation? – Change Healthcare Data Science
NVIDIA’s Data Science Workstation Platform is designed to bring the power of accelerated computing to a broad set of data science workflows. Recently, we found out what happens when you lend a talented data scientist (with a serious appetite for … Continue reading
Multi-GPU Scaling of MLPerf Benchmarks on NVIDIA DGX-1
In this post, we discuss how the training of deep neural networks scales on DGX-1. Considering 6 models across 4 out of 5 popular domains covered in the MLPerf v0.5 benchmarking suite, we discuss the time to state-of-the-art accuracy as … Continue reading
NVIDIA “Turing” Tesla T4 HPC Performance Benchmarks
Performance benchmarks are an insightful way to compare new products on the market. With so many GPUs available, it can be difficult to assess which are suitable to your needs. Various benchmarks provide information to compare performance on individual algorithms … Continue reading
NVIDIA Datacenter Manager (DCGM) for More Effective GPU Management
Managing an HPC server can be a tricky job, and managing multiple servers even more complex. Adding GPUs adds even more power yet new levels of granularity. Luckily, there’s a powerful, and effective tool available for managing multiple servers or … Continue reading
One-shot Learning Methods Applied to Drug Discovery with DeepChem
Experimental data sets for drug discovery are sometimes limited in size, due to the difficulty of gathering this type of data. Drug discovery data sets are expensive to obtain, and some are the result of clinical trials, which might not … Continue reading
NVIDIA Tesla P40 GPU Accelerator (Pascal GP102) Up Close
As NVIDIA’s GPUs become increasingly vital to the fields of AI and intelligent machines, NVIDIA has produced GPU models specifically targeted to these applications. The new Tesla P40 GPU is NVIDIA’s premiere product for deep learning deployments. It is specifically … Continue reading
Deep Learning Benchmarks of NVIDIA Tesla P100 PCIe, Tesla K80, and Tesla M40 GPUs
Sources of CPU benchmarks, used for estimating performance on similar workloads, have been available throughout the course of CPU development. For example, the Standard Performance Evaluation Corporation has compiled a large set of applications benchmarks, running on a variety of … Continue reading
Comparing NVLink vs PCI-E with NVIDIA Tesla P100 GPUs on OpenPOWER Servers
The new NVIDIA Tesla P100 GPUs are available with both PCI-Express and NVLink connectivity. How do these two types of connectivity compare? This post provides a rundown of NVLink vs PCI-E and explores the benefits of NVIDIA’s new NVLink technology.
NVIDIA Tesla P100 NVLink 16GB GPU Accelerator (Pascal GP100 SXM2) Up Close
The NVIDIA Tesla P100 NVLink GPUs are a big advancement. For the first time, the GPU is stepping outside the traditional “add in card” design. No longer tied to the fixed specifications of PCI-Express cards, NVIDIA’s engineers have designed a … Continue reading