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GPU Preemption Policy: Priority Tiers, Checkpoints, and the Cascade
Architect GPU preemption policies for multi-tenant AI clusters: priority tiers, graceful checkpoi...
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GPU Cluster Health Monitoring: Telemetry, Alerts, and Prediction
Implement automated GPU cluster health monitoring: NVIDIA DCGM metrics, XID error parsing, ECC me...
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AI Infrastructure Scalability Metrics: The Five Families
Master the five families of AI infrastructure scalability metrics: Weak vs Strong Scaling, MFU, A...
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NPUs and On-Device LLM Inference: The Client Tier of Enterprise AI
Explore Neural Processing Units (NPUs) and on-device AI inference: hybrid cloud-client architectu...
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Flash Arrays for Low-Latency AI Serving: What the Storage Tier Does
Evaluate all-flash NVMe storage for enterprise AI serving: cold-start weight loading, KV cache of...
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Chunked Prefill: How Sarathi-Serve Tamed the Throughput-Latency Tradeoff
Examine chunked prefill architectures in LLM serving: Sarathi-Serve, prompt chunking, inter-itera...
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Why LLM Decode Is Memory-Bandwidth Bound - and What It Implies
Analyze why LLM autoregressive token decode is memory-bandwidth bound: Roofline model, arithmetic...
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AI Telephony Capacity: Converting Calls per Hour to GPU Count
Convert enterprise voice calls per hour to GPU server sizing: Erlang C queuing, concurrent audio...
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Does Prefix Cache Store PII in Inference Memory?
Examine prefix caching security and PII exposure in LLM inference: Radix trees, multi-tenant KV c...
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Shared Hypervisor and GPU Admin Path Security Risks
Examine hypervisor escape and GPU admin path risks in multi-tenant AI clouds: PCIe root complex s...
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GPU SLA Credits for Failed Training Jobs
Audit GPU cloud Service Level Agreements (SLAs): hardware failure credits, MTTR penalties, outage...
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Preemptible GPU Jobs for Capacity and Training Cost
Optimize AI training costs using preemptible and spot GPU instances: fault-tolerant checkpointing...
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Speculative Decoding vs Batch Size for Inference
Analyze speculative decoding vs continuous batching in LLM serving: draft model acceptance rates,...
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How Many GPUs to Serve a 70B Model in Production
Size GPU hardware for 70B LLM serving: VRAM requirements, tensor parallelism (TP=4 vs TP=8), KV c...
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Should Training Data Sit on S3 or Lustre Storage?
Compare S3 object storage vs Lustre parallel filesystems for AI training: throughput, POSIX seman...
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