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Showing 793–816 of 2,640 use cases

Google Cloud Archived · Feb 3, 2026 BMC Helix Software / SaaS United States BMC Helix needed to help enterprise IT teams identify and recover from incidents faster by moving beyond simple assistive features into autonomous ServiceOps agents that customers could securely deploy in their own… 25% to 35% reduction in Mean Time to Recovery (MTTR) IT Operations Automation Gemini platform · Llama models In-house Feb 2, 2026 DXC-Luxoft Commercial and Professional Services Switzerland Autonomous-driving teams need large volumes of precise, machine-readable traffic scenarios for virtual validation and homologation, but writing standardized scenario descriptions is tedious, repetitive, and dependent on… hundreds of thousands of scenarios ASAM OpenDRIVE · ASAM OpenSCENARIO DSL · ASAM OpenSCENARIO XML NVIDIA Feb 2, 2026 Prima Mente Healthcare Global Prima Mente needed to model genome-scale epigenetic and DNA signals for neuroscience and precision diagnostics, but whole-genome methylation data, clinical benchmark sets, and foundation-model training all exceeded what… 0.89 accuracy, rising to 0.97 with protein tests NVIDIA DGX Cloud · NVIDIA Quantum InfiniBand Networking · Nebius AI Cloud NVIDIA Feb 2, 2026 NVIDIA Software / SaaS Global NVIDIA needed to move employee-built chatbots and agents out of shadow-AI pilots and onto a unified, secure, high-performance platform that could support hundreds of governed AI workflows across engineering, software… from 15 hours to one hour Enterprise Knowledge SearchIT Operations Automation NVIDIA AI Blueprint for Retrieval-Augmented Generation (RAG) · NVIDIA AI Enterprise · NVIDIA GPU Operator NVIDIA Feb 2, 2026 Workr Labs Manufacturing United States Workr needed to make robot automation practical for high-mix, low-volume manufacturers where each new part or cell layout traditionally required weeks of expert programming, calibration, and fixture design. 2x NVIDIA RTX PRO 6000 Blackwell Max-Q's attached to any robot cell Detectron2 · NVIDIA Isaac FoundationPose · NVIDIA Isaac cuMotion NVIDIA Feb 2, 2026 Leidos Commercial and Professional Services United States Leidos needed to reduce information overload and improve coordination in fast-moving disaster scenarios where human commanders must ingest video, radio, sensor, and public-safety signals quickly enough to allocate… Real-time Analytics NVIDIA AI Enterprise · NVIDIA Metropolis · NVIDIA NIM NVIDIA Feb 2, 2026 DeepL Software / SaaS Global DeepL needed to scale high-quality, context-aware translation for millions of daily users and hundreds of thousands of business customers without sacrificing latency, accuracy, or the ability to train larger models for… 10x faster translation processing Document Processing Arion · DGX GB200 systems · NVIDIA DGX SuperPOD NVIDIA Feb 2, 2026 MediaTek Manufacturing Global MediaTek needed a scalable, secure AI factory that could sustain thousands of monthly training iterations, billions of inference tokens, and proprietary R&D workloads such as code completion and documentation without… 40% improvement in inference speed Application RefactoringIT Operations Automation NVIDIA Blackwell · NVIDIA DGX Spark · NVIDIA DGX SuperPOD NVIDIA Feb 2, 2026 UNSW Sydney Healthcare Australia UNSW Sydney and the NSW Telestroke Service needed fast, quantitative stroke imaging for regional hospitals, but manual hemorrhage and infarct segmentation took too long and made it hard to guide treatment decisions in… 20 minutes to seconds Real-time Analytics Auto3DSeg · MONAI Label · NVIDIA GPUs on AWS NVIDIA Feb 2, 2026 RBC Capital Markets Financial Services Canada RBC Capital Markets needed to speed up document-heavy research and banking workflows so analysts and bankers could deliver faster insights, prepare client materials more efficiently, and answer complex questions without… 10x increase in document processing capacity Document ProcessingEnterprise Knowledge Search NVIDIA AI Enterprise · NVIDIA NIM · NVIDIA NeMo NVIDIA Feb 2, 2026 Skild AI Software / SaaS United States Skild AI needed a way to train robots that can adapt across many bodies, tasks, and environments, but collecting enough real-world robotics data was too slow and expensive to produce robust general-purpose physical AI. $4,000-$15,000 systems versus $250,000+ traditional systems NVIDIA Cosmos Transfer · NVIDIA Isaac Lab · NVIDIA Omniverse NVIDIA Feb 2, 2026 Fisia Group Retail Brazil Fisia needed to improve fit confidence, conversion, and basket size for Nike shoppers while reducing returns and making the same personalized experience work consistently in stores, on mobile devices, and online. 128% ROI Marketing Personalization Doris.ai · NVIDIA A10 Tensor Core GPUs · NVIDIA TensorRT NVIDIA Feb 2, 2026 Lowe’s Retail United States Lowe’s needed to close product-expertise gaps for project-based shoppers and store associates, gain better visibility inside large stores, and modernize slow, expensive merchandising and planogram processes across its… 1,750+ stores with digital twins updated throughout the day Customer Service AutomationReal-time Analytics Dell PowerEdge XR Series servers · Hyper3D.ai’s Rodin · Mylow NVIDIA Feb 2, 2026 Agility Robotics Manufacturing United States Agility Robotics needed a reliable way to train whole-body control for humanoid robots that could work in human-built warehouses and factories without costly facility redesigns or risky trial-and-error learning on the… billions of simulation steps Supply Chain Optimization Isaac Lab · MuJoCo · NVIDIA GPUs NVIDIA Feb 2, 2026 Parabole AI Software / SaaS United States Parabole AI needed to make causal industrial optimization practical at scale, but CPU-based causal analysis and brute-force optimization made complex production and energy-planning scenarios too slow to support… 1,000x speedup Gurobi Optimization Solver · NVIDIA GH200 Grace Hopper Superchip · Parabole TRAIN NVIDIA Feb 2, 2026 FastLabel Software / SaaS Japan FastLabel needed to prepare large computer-vision datasets for autonomous-driving and industrial workloads, but manual captioning and duplicate review made image curation slow, expensive, and too error-prone to keep up… $0.26 on an A100 GPU Google Cloud Platform · NVIDIA A100 · NVIDIA NeMo Curator NVIDIA Feb 2, 2026 FanDuel TV and Verizon Media and Entertainment United States FanDuel TV and Verizon needed a portable production architecture that could move high-volume live sports feeds with lower latency and stronger security than cloud backhaul while still supporting AI-assisted camera… More than 130 racetracks nationwide Real-time Analytics NVIDIA AI Enterprise · NVIDIA Holoscan for Media · NVIDIA L40S GPUs NVIDIA Feb 2, 2026 Baseten Software / SaaS Global Baseten needed to orchestrate a global, multi-cloud GPU fleet for increasingly large reasoning models while improving latency, throughput, and cost efficiency enough to keep real-time AI inference practical for… 25% better cost performance for latency-sensitive inference IT Operations Automation Baseten Inference Stack · Google Cloud A4 VMs · NVIDIA Blackwell NVIDIA Feb 2, 2026 Sight Machine Manufacturing Global Manufacturers needed a faster way to understand equipment issues, share floor knowledge across shifts, and resolve downtime without forcing operators to piece together disconnected plant data and static reports. Up to 10% improvement in line productivity Predictive MaintenanceReal-time Analytics NVIDIA A10 GPUs on Azure · NVIDIA Omniverse · Omniverse Kit App Streaming NVIDIA Feb 2, 2026 Amway Consumer Goods China Amway wanted to scale internal and marketer-facing generative AI while keeping data secure, inference efficient, and operations manageable, but it needed a controlled infrastructure for document analysis, presentation… 35 days to 15 days Enterprise Knowledge SearchSales Automation NVIDIA AI Enterprise · NVIDIA Base Command Manager Essentials · NVIDIA DeepSeek R1 NIM NVIDIA Feb 2, 2026 Worley Real Estate and Construction Global Worley needed to unlock more than 50 years of engineering knowledge across over 100,000 documents, but fragmented tools, isolated repositories, and slow document retrieval caused engineers to waste time and made it hard… 100,000+ documents Document ProcessingEnterprise Knowledge Search Microsoft Azure · Milvus · NVIDIA AI Enterprise NVIDIA Feb 2, 2026 Foxconn Manufacturing Taiwan Foxconn needed to reduce nurse burnout and repetitive transport work in hospitals, but deploying autonomous clinical robots required safe simulation, real-time edge perception, and dependable navigation inside busy… 2-3 hours a day NVIDIA Isaac Sim · NVIDIA Isaac for Healthcare · NVIDIA Jetson AGX Orin NVIDIA Feb 2, 2026 MIT and Recursion Healthcare United States MIT and Recursion needed an open model that could co-fold protein complexes and predict binding affinity with the speed of foundation-model inference instead of the cost and delay of physics-based simulation, but… 63 DGX H100 systems NVIDIA BioNeMo NIM microservice · NVIDIA DGX SuperPOD with DGX H100 · NVIDIA Quantum-2 InfiniBand networking Google Cloud Archived · Jan 31, 2026 Gordon Food Service Consumer Goods United States To fully realize its vision of AI for the workplace and make AI more helpful for its employees, Gordon Food Service needed AI to understand business context, which means AI needs controlled access to business… Enabled universal knowledge discovery from core business application data sources and supercharged productivity… Enterprise Knowledge Search Gemini models · Google Workspace · Google Workspace with Gemini