Tag: vLLM

Scaling Open-Source LLMs: Hardware, Serving Stacks, and Playbooks for 2026

Scaling Open-Source LLMs: Hardware, Serving Stacks, and Playbooks for 2026

Learn how to scale open-source LLMs in 2026 with the right hardware, serving stacks like vLLM, and a strategic playbook for enterprise deployment.

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Batched Generation in LLM Serving: How Request Scheduling Shapes Output Speed and Quality

Batched Generation in LLM Serving: How Request Scheduling Shapes Output Speed and Quality

Batched generation in LLM serving boosts efficiency by processing multiple requests at once. How those requests are scheduled determines speed, fairness, and cost. Learn how continuous batching, PagedAttention, and smart scheduling impact output performance.

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Recent Post

  • Explainability in Generative AI: How to Communicate Limitations and Known Failure Modes

    Explainability in Generative AI: How to Communicate Limitations and Known Failure Modes

    Jan, 22 2026

  • How to Budget for Multimodal AI: Controlling Latency and Costs Across Modalities

    How to Budget for Multimodal AI: Controlling Latency and Costs Across Modalities

    Feb, 5 2026

  • Secrets Scanning for AI-Generated Repos: Prevent Leaks by Default

    Secrets Scanning for AI-Generated Repos: Prevent Leaks by Default

    May, 14 2026

  • Red Teaming for Privacy: How to Test Large Language Models for Data Leakage

    Red Teaming for Privacy: How to Test Large Language Models for Data Leakage

    Jan, 10 2026

  • Rotary Position Embeddings (RoPE) vs ALiBi: Which LLM Positioning Method Wins?

    Rotary Position Embeddings (RoPE) vs ALiBi: Which LLM Positioning Method Wins?

    Apr, 15 2026

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