קורסים
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Adapting the Data Center to New AI Trends
Explore how AI trends reshape data center infrastructure, focusing on high-density server racks, liquid cooling solutions, and innovative approaches to meet evolving computational demands.
Next Steps in AI Technology Adoption - Data Center Challenges and Solutions
Explore key challenges and solutions for AI technology adoption in data centers, from power management to cooling systems and global deployment strategies.
Kickstart AI in Your Data Center with Cisco Validated Designs
Discover how to efficiently deploy AI infrastructure using Cisco's validated designs, optimized hardware stacks, and partner integrations for seamless enterprise-scale AI implementation and workload management.
Why AI is All About Object Storage - Understanding Scale and Performance
Discover how object storage has become essential for AI architectures, offering superior performance, scalability, and simplicity for managing massive datasets and diverse data formats at enterprise scale.
Introduction to Google Cloud Vertex AI Platform - Enterprise AI Development and Deployment
Discover how Vertex AI leverages TPUs and transformer architecture to enable multimodal AI processing across text, images, audio, and video, with enterprise-ready features for secure, customizable AI implementation.
Overcoming Legacy COBOL Challenges with BMC AMI DevX Code Insights
Discover how BMC AMI DevX Code Insights modernizes COBOL development with AI-powered tools, visualization features, and intelligent analysis to simplify mainframe application maintenance and evolution.
Meeting the Demands of Modern Datacenters - AI Computing and Efficiency with AMD
Discover how AMD's innovative solutions address modern datacenter challenges through AI integration, compute density, and power efficiency while maximizing performance and automation capabilities.
WEKA Converged Mode for AWS - Resource Efficiency for AI Workloads
Discover how WEKA's innovative Converged Mode optimizes GPU-accelerated workloads and AI model training in AWS, improving resource efficiency and performance for cloud deployments.
The Energy Crunch in AI Data Centers - Solutions with QLC Storage Technology
Explore how QLC storage solutions revolutionize data center efficiency, reducing energy consumption by 80% while enabling greater GPU rack density and optimized AI infrastructure performance.
Optimizing Storage Solutions for AI Workloads - Data Infrastructure and Performance
Discover how to optimize AI workloads with high-density QLC and Gen 5 TLC SSDs, focusing on storage architecture selection for different pipeline phases from data ingestion to archiving for maximum GPU utilization.
Optimizing Storage Solutions for AI and ML Workloads in Google Cloud
Discover advanced storage solutions optimized for AI/ML workloads, featuring Anywhere Cache, HyperDisk ML, and Cloud Storage FUSE innovations that enhance data accessibility and training efficiency.
Gemini Cloud Assist - Enhancing Cloud Intelligence and Efficiency in Google Cloud
Discover how Gemini Cloud Assist enhances Google Cloud efficiency through AI-powered insights, actionable recommendations, and real-time assistance for optimizing cloud infrastructure and reducing operational costs.