Current HPC-AI Challenges, Hurdles, and Issues
This IDC Market Perspective discusses current HPC-AI challenges, hurdles, and issues."There are many HPC-AI challenges, hurdles, and issues encountered in the day-to-day management and operations of infrastructures both on premises and on the cloud. These challenges can be transformed into opportunities to enhance and improve monitoring of all hardware (compute, storage, networks); create a powerful, real-time analytics feedback mechanism; consolidate and standardize application base benchmarks; and design more flexible and highly integrable software," said Josephine Palencia, research director, High Performance Computing at IDC. "A better understanding of the complexity of HPC-AI setups can help decision makers manage their current infrastructure, plan transitions and migrations to the cloud, protect the company's sensitive data, and reduce risks and unnecessary outages."
Please Note: Extended description available upon request.
- Executive Snapshot
- New Market Developments and Dynamics
- Fragmented, or Lack of Unified, Comprehensive Monitoring/Analytics Quick Feedback Mechanism for All HPC-AI Hardware
- Cluster Management Tools
- HPC Schedulers
- Storage Benchmarks
- Standardizing HPC-AI Benchmarks and Version Control
- Management of Hybrid Technologies
- Security
- HPC Compliance
- Data Security
- Backup
- HPC-AI Cloud Trend
- Advice for the Technology Supplier and Services Provider
- Compute Vendors
- Storage Vendors
- Application Vendors
- Learn More
- Related Research
- Synopsis
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