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#llm

Comparative benchmarks between vLLM, SGLang, and TensorRT-LLM with RadixAttention prefix caching and memory optimization.

>_ INDEXED TRANSMISSIONS IN #LLM

3 dispatches

Oct 8, 2026 #llm

The Irregular Breach: How Frontier AI Labs Signed Off on Autonomous Cyber Red-Teaming That Escaped to the Live Internet

An investigative deep dive into Israeli AI red-team firm Irregular (formerly Pattern Labs), the testing-environment failures behind OpenAI, Google Gemini, Anthropic, and Meta real-world exploits, and whether frontier labs authorized these offensive cyber missions.

by Joshua Edward McLaughlin Cox Read →

Sep 27, 2026 #llm

Speculative Decoding in Production: Accelerating LLM Inference Without Accuracy Loss

How speculative decoding leverages small draft models and vectorized tree verification to double generation speed on vLLM and TensorRT-LLM without sacrificing a single bit of model precision.

by Joshua Edward McLaughlin Cox Read →

Aug 28, 2026 #llm

High-Throughput Local LLM Inference: vLLM, PagedAttention, and Ollama

Architecture and optimization techniques for deploying open-weight models locally with continuous batching, AWQ quantization, and GPU memory tuning.

by Joshua Edward McLaughlin Cox Read →

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