GPUs for ETL? Optimizing ETL Architecture for Apache Spark SQL Operations
Extract-transform-load (ETL) operations with GPUs using the NVIDIA RAPIDS Accelerator for Apache Spark running on large-scale data can produce both cost savings...
Increasing Inference Acceleration of KoGPT with NVIDIA FasterTransformer
Transformers are one of the most influential AI model architectures today and are shaping the direction of future AI R&D. First invented as a tool for...
Delivering up to 9X the Throughput with NAMD v3 and NVIDIA A100 GPU
NAMD, a widely used parallel molecular dynamics simulation engine, was one of the first CUDA-accelerated applications. Throughout the early evolution of...
Speeding Up Semantic Segmentation Using MATLAB Container from NVIDIA NGC
Gone are the days of using a single GPU to train a deep learning model. With computationally intensive algorithms such as semantic segmentation, a single GPU...
Using Tensor Cores for Mixed-Precision Scientific Computing
Double-precision floating point (FP64) has been the de facto standard for doing scientific simulation for several decades. Most numerical methods used in...
Using OpenACC to Port Solar Storm Modeling Code to GPUs
Solar storms consist of massive explosions on the Sun that can release the energy of over 2 billion megatons of TNT in the form of solar flares and Coronal Mass...
The continuing explosive growth of AI model size and complexity means the appetite for more powerful compute solutions continues to accelerate rapidly. NVIDIA...
Volta Tensor Core GPU Achieves New AI Performance Milestones
Artificial intelligence powered by deep learning now solves challenges once thought impossible, such as computers understanding and conversing in natural speech...
Inside Volta: The World’s Most Advanced Data Center GPU
Today at the 2017 GPU Technology Conference in San Jose, NVIDIA CEO Jen-Hsun Huang announced the new NVIDIA Tesla V100, the most advanced accelerator ever...
