Amazon Web Services for SOLUTION ARCHITECT, SYSOPS, DEVOPS - ARTIFICIAL INTELLIGENCE, DATA SCIENCE

         NVIDIA - Amazon EC2 Instances with P and G Series New models will be faster on a GPU instance than a CPU instance. You can scale sub-linearly when you have multi-GPU instances or if you use distributed training across many instances with GPUs. Amazon EC2 P3 Instances have up to 8 NVIDIA Tesla V100 GPUs. Amazon EC2 P2 Instances have up to 16 NVIDIA NVIDIA K80 GPUs. Amazon EC2 G3 Instances have up to 4 NVIDIA Tesla M60 GPUs. Check out EC2 Instance Types and choose Accelerated Computing to see the different GPU instance options. New – Amazon EC2 Instances with Up to 8 NVIDIA Tesla V100 GPUs (P3) Driven by customer demand and made possible by on-going advances in the state-of-the-art, we’ve come a long way since the original  m1.small  instance that launched in  2006 , with instances that emphasize compute power, burstable performance, memory size, local storage, and accelerated computing. The New P3 Today we are making the next generation of GPU-

NVIDIA and VMware to Accelerate Machine Learning, Data Science and AI Workloads on VMware Cloud on AWS Accelerated by NVIDIA GPUs VMworld—NVIDIA and VMware today announced their intent to deliver accelerated GPU services for VMware Cloud on AWS to power modern enterprise applications, including AI, machine learning and data analytics workflows. These services will enable customers to seamlessly migrate VMware vSphere-based applications and containers to the cloud, unchanged, where they can be modernized to take advantage of high-performance computing, machine learning, data analytics and video processing applications. Increasingly businesses are applying artificial intelligence (AI) technologies to differentiate and advance their processes and offerings. Enterprises are rapidly adopting AI(1) and implementing new AI strategies that require powerful computers to create predictive models from petabytes of corporate data. Across industries, enterprises are implementing machine learni

NVIDIA - Build powerful machine learning applications on cloud infrastructure with highest performing GPU-accelerated  FLEXIBLE, POWERFUL HIGH PERFORMANCE COMPUTING Unlike on-premises systems, running high performance computing on Amazon EC2 P3 instances offers virtually unlimited capacity to scale out your infrastructure, and the flexibility to change resources easily and as often as your workload demands NVIDIA (NASDAQ: NVDA) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world’s most demanding users — gamers, designers and scientists — with products, services and software that power amazing experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars NVIDIA Deep Learning AMI The NVIDIA Deep Learning AMI is an optimized environment for running the Deep Learning, Data Science, and HPC containers available from NVIDIA's NGC registry. The Docker containers available on the NGC