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Search: “inference”

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Hardware

How XPUs Meet a World-Class AI Factory

DGX agent

To generate intelligence at scale, AI factories run continuously, and their economics are defined by delivered output: tokens per second, tokens per watt, cost per token, utilization and uptime. That

hardwarenvidia-blog

24 Aug 2026

Model Releases

KoViDoRe: Korean Visual Document Retrieval

DGX agent

arXiv:2608.20840v1 Announce Type: cross Abstract: Recent advances in multimodal retrieval have improved the ability to retrieve information from visually rich documents such as PDFs and reports. Howev

Search: “inference”

How XPUs Meet a World-Class AI Factory

KoViDoRe: Korean Visual Document Retrieval

Memory Augmentation Unlocks Efficient Chain-of-Thought Reasoning

Minimax Optimality of Score-Entropy Discrete Diffusion

MotionPhys: Detecting AI-Generated Videos via Physical Consistency of Optical-Flow Trajectories

Nexus: Depth-Adaptive KV-Cache Splicing and Retrieval-Decoupled Tool Routing for Agentic LLMs on Unified Memory

OccluRank: Controllable Occlusion-Aware Layout-to-Image Generation by Adding Just an Ordinal Rank

Profiling What Matters: Context-Aware Item Profiles from Large-Scale Metadata for LLM Recommenders

Root cause analysis via difference graph discovery from linear time-series data

SpaceX, in partnership with Nvidia, has designed a space-optimized Vera Rubin NVL72 system for launch to orbit in Q4 next year, with signifi…

STAR-OPD: Structured Aspect-Cascade-Aware On-Policy Reward Distillation for ABSA Quadruple Extraction

TaPeR: Probabilistic Recovery of Sparse Task Precedence Graphs from a Handful of Demonstrations

The Divergence Hypothesis: Unmasking Lexical Interference and Label Bias in Mental Health NLP

Today, we’re announcing a strategic collaboration with @HUMAIN spanning AI infrastructure, advanced model development, and the deployment of…

TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems

Tydra: An Efficient Hybrid Model for Tabular Data

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification

Ollama full GPU offload: `LLAMA_ARG_THREADS=1` drastically reduced CPU usage with no performance penalty

Need support for llama.cpp with multi GPU

A three-dimensional typology of agency for advanced AI systems

Air Traffic Control Using Large Language Models: Prompt Engineering, Architecture, and Evaluation

An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction

Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity

Deep-MKV-TS: Path-Dependent McKean--Vlasov Control for Financial Time Series Generation

Flow Matching Meets 3D Curvilinear Structure Segmentation in Medical Imaging

Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text Generation

From Retrieved Context to Runtime Control: Adaptive Compression for Edge-based RAG

Incident-Data Robustness Analysis of the OWASP Top 10 for LLM Applications (2026): How a Community-Expert Ranking Holds Up Against a Large-Scale LLM Incident Corpus

Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts

Manifold Drift in Flow Preference Optimization: A Root Cause of Reward Hacking

Open-Vocabulary 3D Object Detection with Co-Distillation Discovery and Dual Guidance Robust Training

PersonalBench: Measuring the Authorship Gap in LLM Personalization

Question-Guided Evidence Acquisition for Multimodal Visual Question Answering

Reading Between the Pixels: An Inscriptive Jailbreak Attack on Text-to-Image Models

ReCache: Efficient KV Cache Reuse and Compression for Tool-Augmented LLM Agents

RecPFN: Prior-Fitted Networks for In-Context-Based Recommendations

SABET-QA: Temporal Knowledge Graph Question Answering

SAGE-XGBoost: Spatially Augmented Graph Embeddings--Machine Learning Framework for Natural Hazards Susceptibility Mapping under Data Scarcity

TCP_alpha: Margin-Controlled Confidence estimation for reliable Music Information Retrieval

Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion

TT-net: Quantum Inspired Tensor Network Denoising in Conditional GANs

XDen-1K: A Density Field Dataset of Real-World Objects

10 questions every startup should answer before moving to production with their AI prototype

Atrial Fibrillation Detection with Arbitrary Leads via a Codebook-Based Reconstruction-Classification Framework

Cacheable by Design? Training Mixture-of-Experts Routers for Locality Against the Edge Memory-Bandwidth Wall: A Pre-Registered Negative Result with a Systems Measurement Study

COSTA: A Cluster-Centric Paradigm for Annotation-Free Open-Set Semantic Segmentation of Aerial Point Clouds with Domain Shifts

Counterfactual Contrastive Analysis

DevGRU: Depth-guided Visual Navigation using a Collision-aware Recurrent Model