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https://engineering.fb.com/2026/03/31/ml-applications/meta-adaptive-ranking-model-bending-the-inference-scaling-curve-to-serve-llm-scale-models-for-ads/ Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve LLM-Scale Models for Ads... Apr 21, 2026 - Meta continues to lead the industry in utilizing groundbreaking AI Recommendation Systems (RecSys) to deliver better experiences for people, and better results... inference scaling scale models meta adaptive ranking https://www.eyalo.com/259212/science-news-4/inference-scaling-test-time-compute-why-reasoning-models-raise-your-compute-bill/ Inference Scaling (Test-Time Compute): Why Reasoning Models Raise Your Compute Bill - Drops of... inference scaling reasoning models your bill test time https://arize.com/blog/sleep-time-compute-beyond-inference-scaling-at-test-time/ Sleep-time Compute: Beyond Inference Scaling at Test-time - Arize AI May 9, 2025 - We summarize a new concept called Sleep-time Compute, a new way to scale AI capabilities: letting models "think" during downtime. sleep time inference scaling arize ai compute beyond https://www.nec-labs.com/blog/sfs-smarter-code-space-search-improves-llm-inference-scaling/ SFS: Smarter Code Space Search improves LLM Inference Scaling space search llm inference sfs smarter code https://metavert.io/inference-scaling Inference Scaling Inference scaling is the shift from training-dominated AI compute to inference-dominated compute, driven by chain-of-thought reasoning, agentic loops, and... inference scaling https://www.redhat.com/de/technically-speaking/scaling-AI-inference Technically Speaking | Scaling AI inference with open source Explore the critical role of production-quality AI inference, the power of open source projects like vLLM, and the future of the enterprise AI stack. technically speaking scaling ai open source inference https://huggingface.co/papers/2507.02559 Paper page - Transformers Don't Need LayerNorm at Inference Time: Scaling LayerNorm Removal to... Join the discussion on this paper page inference time scaling paper transformers need removal https://tldr.takara.ai/p/2410.05318 Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification |... Despite significant advancements in the general capability of large language models (LLMs), they continue to struggle with consistent and accurate reasoning,... llm reasoning improving scaling inference computation https://research.ibm.com/publications/rollout-roulette-a-probabilistic-inference-approach-to-inference-time-scaling-of-llms-using-particle-based-monte-carlo-methods Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using... Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods for NeurIPS 2025 by Isha Puri... rollout roulette probabilistic inference approach https://aidisruption.ai/p/deepseek-unveils-new-paper-on-inference DeepSeek Unveils New Paper on Inference-Time Scaling, Is R2 Coming? DeepSeek's new Self-Principled Critique Tuning (SPCT) boosts AI reward models. Is R2 coming? Read the arXiv paper now! inference time scaling new paper deepseek coming https://www.zenml.io/llmops-database/scaling-llm-training-and-inference-with-fp8-precision DeepL: Scaling LLM Training and Inference with FP8 Precision - ZenML LLMOps Database DeepL needed to scale their Language AI capabilities while maintaining low latency for production inference and handling increasing request volumes. The... llm training llmops database deepl scaling inference https://openreview.net/forum?id=bl884pjXhN Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria... Modern Large Language Model (LLM) systems typically rely on Retrieval Augmented Generation (RAG) which aims to gather context that is useful for response... all you need rag systems relevance scaling inference https://cloud.google.com/blog/products/compute/scaling-moe-inference-with-nvidia-dynamo-on-google-cloud-a4x?e=48754805 Scaling MoE inference with NVIDIA Dynamo on Google Cloud A4X | Google Cloud Blog A new reference architecture for mixture-of-experts (MoE) workloads uses AI Hypercomputer with A4X machines, NVIDIA GB200 NVL72 and NVIDIA Dynamo. moe inference on google scaling nvidia dynamo