Chapters
- 01 How Many GPUs Are in a Cluster? A Practitioner’s GuideHow many GPUs does a cluster need? It depends on workload, interconnect and failure budget. Covers cluster sizes, scaling, and Slurm versus Kubernetes.
- 02 AWS Parallel Computing ExplainedHow parallel training works on AWS: data, model and pipeline parallelism, Spot Instances, SageMaker versus EKS, networking, and AWS versus owning GPUs.
- 03 What Is the Best GPU Cluster for AI?How to choose a GPU cluster for AI: HPC, composable and Kubernetes designs, node balance, chips, networking, storage, training versus inference, budget.
- 04 What Is the Best GPU for Cluster Nodes? A Practitioner’s GuideHow to choose GPUs for cluster nodes: find your bottleneck, compare B200, H100, MI300X and Gaudi 3, then plan interconnects, storage and buy-or-rent.
- 05 AI Training Infrastructure GPU Cluster Setup: The 2026 Buying GuideHow to set up a GPU cluster for AI training: when one GPU is enough, cloud versus on-premise, networking, the software stack, tuning and cost trade-offs.
- 06 GPU Cluster Benchmarking Tools Comparison 2026How to benchmark a GPU cluster properly. Compares NCCL tests, NeMo, DeepSpeed and MPI microbenchmarks, and covers AWS versus on-premise setups.
- 07 Distributed GPU Training vs Single GPU: The Hard TruthWhen one GPU is enough and when to distribute training. Covers data and model parallelism, DDP versus FSDP, cluster design, cost and scaling pitfalls.
- 08 The Real Cost of Idle GPUs: How to Optimize GPU Utilization for Cost in 2026Why GPU utilization metrics mislead and how to cut idle cost: kernel tuning, dynamic batching and sharing, FPGA versus GPU, and spot or preemptible VMs.
- 09 GPU Cluster Rental Cost: The Complete 2026 Pricing GuideWhat a rented GPU cluster costs: compute, interconnect, storage and power, hidden charges like idle time and egress, vendor comparison and rent or buy.
- 10 Best AWS Instance Types for AI Training in 2026: A No-BS GuideWhich AWS instance families suit AI training: P5, P5e, Trainium and G6. Match model size and budget to hardware, plus EFA networking and spot risks.
- 11 The Real Cost of GPU Clusters for AI Training in 2026What GPU clusters for AI training cost: hardware, power and network spend, the cloud versus on-premise breakpoint, configuration choices and hidden costs.
- 12 Million Token Context GPU RequirementsGPU needs for million-token context: KV cache memory math, why serving and training must be distributed, scheduling GPU jobs on AWS, and when it pays off.
- 13 What is Admission Control in GPU Scheduling? A Field GuideWhat admission control does in GPU scheduling and why jobs queue on idle clusters. Covers Kubernetes webhooks, Kueue and three kinds of admission gate.
- 14 The Cost-Efficient Storage Architecture for AI (2026 Buyer's Guide)Lower AI storage costs with hot, warm and cold tiers, semantic caching, model weight distribution, versioning, feature stores and vector databases.