Managing AI and ML in the Enterprise
The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus build.
Dell Technologies is rolling out a series of designs and systems that aim to speed up artificial intelligence deployments by using VMware’s acquired Bitfusion technology.
Two Dell EMC Ready Solutions are based on VMware Validated Designs to combine Dell EMC hardware with VMware Cloud Foundation and AI management Bitfusion tools in VMware vSphere 7. Dell Technologies said that its Dell
Dell Technologies is claiming to be among the first IT companies to equip systems to run AI workloads within VMware environments.
Ravi Pendekanti, senior vice president of product management and marketing for Dell Technologies server unit, said the new systems are designed to run AI anywhere and take advantage of underutilized GPUs. “GPU instances are being underutilized and that is holding back AI,” said Pendekanti.
Pendekanti added that Dell Technologies strategy with the systems is to break down pockets of information and continually leverage data for models. VMware’s Bitfusion technology, which was acquired last year, is designed to virtualize and organize GPUs to make them more efficient.
Here’s how VMware’s Bitfusion organizes GPUs.
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The systems, available now, include:
Those categories of systems are complemented with Dell EMC OpenManage systems management software included with PowerEdge servers in the systems. OpenManage now includes integration for VMware vCenter with support for vSphere Lifecycle Manager and an enhanced OpenManage Mobile app to monitor thermal policies and storage as well as perform emergency power reduction.
In addition, Dell is providing its new systems for HPC and AI workloads with Dell Technologies On Demand for pricing based on usage and consumption.