High-Performance Architecture
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What is high-performance architecture?
High-performance architecture is critical to each phase of the AI workflow, from model development through deployment. Without the right foundation, enterprises will struggle to realize the full value of investments in AI applications.
High-performance computing (HPC)
The right amount of combined CPU and GPU processing power is needed to train and run modern AI engines.
High-performance storage
The ability to reliability store, clean and scan massive amounts of data is required to train AI/ML models.
High-performance networking
AI/ML applications require extremely high-bandwidth and low-latency network connections.
Automation, orchestration, software and applications
HPA requires the right mix of data science tools and infrastructure optimization.
Strategy and governance
Data must be protected and readily accessible to systems and users.
Talent and skills
The right mix of experts is needed to build AI models and maintain HPA infrastructure.
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