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Warp 2.0: High-Performance Infrastructure for Low-Latency AI and Distributed Inference: Distributed serving, quantization, hardware orchestration, edg

by Marcus Endo
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₹1,986.00
Original price ₹1,986.00
Original price ₹1,986.00
₹1,986.00
Current price ₹1,986.00

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Book cover type: Paperback
  • ISBN13: 9798264957444
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 324
  • Original Price: USD 19.0
  • Language: English
  • Edition: N/A
  • Item Weight: 563 grams
  • BISAC Subject(s): Artificial Intelligence / Natural Language Processing

This book is a Technical manual for building ultra-low-latency inference platforms for LLMs and multimodal models. Explains model sharding, tensor/model parallelism, pipeline parallelism, clever batching strategies, quantization techniques, kernel-level optimizations, and GPU/TPU orchestration. Includes on-device and edge patterns, caching strategies, network optimizations, and benchmarking methodologies to select cost-effective hardware-software stacks.
Who this book is for

  1. Infrastructure and performance engineers optimizing inference pipelines.
  2. Platform architects designing low-latency, high-throughput model serving.
  3. CTOs evaluating hardware and deployment trade-offs for AI services.
  4. Engineers deploying on-edge or hybrid cloud-edge inference topologies.
What the reader will learn
  1. Model sharding and parallelism techniques for throughput and latency.
  2. Batching and pipelining heuristics for real-world traffic patterns.
  3. Quantization, pruning, and distillation tactics to reduce compute.
  4. Autoscaling, scheduler design, and GPU orchestration best practices.
  5. Edge inference patterns and hybrid on-prem/cloud deployment strategies.
  6. How to benchmark, profile, and tune end-to-end latency and costs.

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