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7 results for “LLM inference”
Presentation: Producing the World's Cheapest Tokens: A How-to Guide
Meryem Arik presents architectural strategies to drastically reduce LLM inference costs for batched, non-real-time workloads through hardware selection, runtime optimization, speculative decoding, and queue management.
Aug 11, 2026
Inside vLLM: Anatomy of a High-Throughput LLM Inference System (2025)
The article title references a technical deep-dive into vLLM, an open-source LLM inference engine, but the provided content contains only the phrase 'Comments' — no substantive information about vLLM's architecture, performance, or impact.
Aug 7, 2026
Netflix Details Its In-House LLM Serving Platform with Triton and vLLM
Netflix shared internal engineering insights on deploying LLM inference at scale using Triton and vLLM, revealing technical trade-offs in model serving but not announcing a new product, policy, or external offering.
Jul 27, 2026
Your LLM inference benchmark is lying to you
The article critiques the reliability of synthetic LLM inference benchmarks for real-world deployment decisions, arguing they mislead engineering leaders by ignoring production variability in prompt length, request rate, and hardware heterogeneity.
Jul 22, 2026
Probabilistic Concept-Aware Steering for Trustworthy LLM Inference
A new research paper introduces Probabilistic Concept-Aware Steering (PCS), a method to improve interpretability and fine-grained control in LLM inference by replacing binary steering evaluation with probabilistic, continuous semantic alignment.
Jul 22, 2026
Akashic: A Low-Overhead LLM Inference Service with MemAttention
Akashic is a new low-overhead LLM inference memory system using MemAttention to chunk and semantically relate context, improving accuracy, throughput, and sustainable request rates over prior baselines.
Jul 9, 2026
OpenAI and Broadcom unveil LLM-optimized inference chip
OpenAI and Broadcom jointly announced Jalapeño, a custom chip designed specifically for large language model inference, aiming to enhance speed, energy efficiency, and deployment scalability.
Published Jun 24, 2026 · Analyzed Jul 3, 2026