High-Performance AI Systems Engineering: Techniques for Faster Model Training, Efficient GPU Workloads, Distributed Computing, and Reliable AI Deployment across Modern Infrastructure

High-Performance AI Systems Engineering: Techniques for Faster Model Training, Efficient GPU Workloads, Distributed Computing, and Reliable AI Deployment across Modern Infrastructure

Independently published

Pages: 341, Paperback, Independently published

Compare prices (1 shop)

Sort: Price: lowest first Price: highest first

shop	Price	Action
	37,48 GBP	Go to shop

Similar products

AI MODEL DEPLOYMENT WITH KUBERNETES: Containerized ML Workloads Inference Scaling Distributed Model Serving
From 10,42 EUR
AI Infrastructure Engineering: Building GPU Systems, Optimizing Inference, Designing Distributed Architectures, and Running Production Deployments
From 26,87 EUR
Designing AI in Hybrid and Multi-Cloud: Master Data, Models, and Infrastructure Across Distributed Cloud Platforms
From 15,00 EUR
BARE METAL SERVERS FOR AI WORKLOADS: PROVISIONING GPU CLUSTERS AT SCALE: Automate Server Deployment with Terraform, Ansible, MAAS, and PXE Boot for LLM Training and Inference Infrastructure
From 25,85 EUR
TERRAGRUNT IN PRODUCTION: MANAGING INFRASTRUCTURE AT ENTERPRISE SCALE: Organize modules, automate deployments, and eliminate code duplication across hundreds of Terraform configurations
From 37,65 EUR
INFINIBAND FOR HIGH-PERFORMANCE COMPUTING AND AI CLUSTERS: Configure RDMA networking, optimize GPU interconnects, and build low-latency infrastructure for distributed training and HPC workload
From 22,35 EUR