10 Questions to Ask When Starting With AI – Part 4

In this insideHPC Guide, “10 Questions to Ask When Starting With AI,” our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the proper team to execute the project. Chasing the hot technology trend without having a proper strategy often leads companies down the path of failure.

10 Questions to Ask When Starting With AI – Part 3

In this insideHPC Guide, “10 Questions to Ask When Starting With AI,” our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the proper team to execute the project. Chasing the hot technology trend without having a proper strategy often leads companies down the path of failure.

Things to Know When Assessing, Piloting, and Deploying GPUs – Part 3

In this insideHPC Guide, our friends over at WEKA suggest that when organizations decide to move existing applications or new applications to a GPU-influenced system there are many items to consider, such as assessing the new environment’s required components, implementing a pilot program to learn about the system’s future performance, and considering eventual scaling to production levels.

Things to Know When Assessing, Piloting, and Deploying GPUs – Part 2

In this insideHPC Guide, our friends over at WEKA suggest that when organizations decide to move existing applications or new applications to a GPU-influenced system there are many items to consider, such as assessing the new environment’s required components, implementing a pilot program to learn about the system’s future performance, and considering eventual scaling to production levels.

10 Questions to Ask When Starting With AI – Part 2

In this insideHPC Guide, “10 Questions to Ask When Starting With AI,” our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the proper team to execute the project. Chasing the hot technology trend without having a proper strategy often leads companies down the path of failure.

OEMs Join Nvidia-Certified Program – Systems Pre-tested for AI Workloads

Dell Technologies, GIGABYTE, Hewlett Packard Enterprise (HPE), Inspur and Supermicro are among 11 systems makers engaged in an Nvidia certification program, announced this morning, designed to test hardware across a range of AI and data analytics workloads, including jobs that require multiple compute nodes and tasks that only need part of the power of one GPU. […]

10 Questions to Ask When Starting With AI

In this insideHPC Guide, “10 Questions to Ask When Starting With AI,” our friends over at WEKA offer 10 important questions to ask when starting with AI, specifically planning for success beyond the initial stages of a project. Reasons given for these failures include not having a plan ahead of time, not getting executive or business leadership buy-in, or failing to find the  proper team to execute the project. Chasing the hot technology trend without having a proper strategy often  leads companies down the path of failure.

Things to Know When Assessing, Piloting, and Deploying GPUs

In this insideHPC Guide, our friends over at WEKA suggest that when organizations decide to move existing applications or new applications to a GPU-influenced system there are many items to consider, such as assessing the new environment’s required components, implementing a pilot program to learn about the system’s future performance, and considering eventual scaling to production levels.

The Graphcore Second Generation IPU

Our friends over at Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has released a new whitepaper introducing the IPU-Machine. This second-generation platform has greater processing power, more memory and built-in scalability for handling extremely large parallel processing workloads. This paper explores the new platform and assesses its strengths and weaknesses compared to the growing cadre of potential competitors.

Modern HPC and Big Data Design Strategies for Data Centers – Part 3

This insideHPC Special Research Report, “Modern HPC and Big Data Design Strategies for Data Centers,” provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions available for organizations and enterprise customers.