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Four ways to get ready for Power Systems Virtual Servers in IBM Cloud
Are you investigating running your AIX or IBM i workloads in the cloud, but don’t know where to ...
IBM Storage supports NVIDIA DGX A100 AI infrastructure
Artificial intelligence is driving innovation in all aspects of business. Customers can still struggle, however, with the building blocks of AI infrastructure, often resulting in the creation of multiple silos, or poor performance.
Behind the scenes with tech trailblazers: Meet Florin Manaila
I spoke with Florin Manaila, an IBM senior architect for cognitive systems who specializes in AI and...
What is edge computing and how can it help my business?
How we compute has substantially shifted over the years. One innovative method enables real-time action, improves user experience and reduces costs by putting compute power closer to the source of data. It’s called edge computing, and we’re only ...
AI at the edge: Driving new business opportunities at the point of data creation
Data has always come from outside the data center. As the number of smart devices generating new ...
Storage solutions for the edge
In a previous blog post we described some of the critical infrastructure requirements for edge computing. Here, we will discuss some practical solutions from IBM Storage. IBM Storage has decades of experience offering a wide range of edge solutions. ...
Managing data on the edge
What do oil platforms, automobiles, and smart phones have in common? It may not be obvious, but they are in fact all important examples of edge computing. The concept of edge computing has evolved significantly over the last half century. In the past...
Making data smarter
What makes artificial intelligence (AI)-driven applications smarter? High-quality, high-volume data. Now, IBM Storage is integrating file and object data with IBM AI solutions to make data smarter. Enterprises looking to leverage the power of AI are ...
Your data’s been prepared: Now train the AI model
I recently wrote about how important data preparation is in the lifecycle of an AI project. Providing good data to an AI model is key to making it thrive. However, training it also plays an important role and can impose a few challenges. An AI model ...