Google Kubernetes Engine (GKE)

3 use cases using this technology

3published use cases

3industries

1countries on record

Computer Vision

top AI capability

Evidence mix: High 3 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

3 use cases

RetailPredictive Analytics

OTTO improves demand forecasting accuracy up to 30% with Google Cloud's TiDE model

OTTO, a leading German ecommerce retailer, used Google Cloud's Time-series Dense Encoder (TiDE) model trained on Vertex AI and deployed on GKE to analyze multivariate time-series data such as seasonal demand patterns, pricing changes, and promotions. TiDE improved demand forecasting accuracy by up to 30%, helping OTTO reduce inventory costs, minimize stock-outs and overstocks, and support dynamic pricing, with particularly strong responsiveness for volatile products like iPhones versus more stable items like men's jeans.

OTTO· GermanyVertex AI · BigQuery · Google Kubernetes Engine (GKE)

Media & EntertainmentSpeech & Audio AIGenerative AIConversational AI

ElevenLabs: Scaling Voice AI with GPU-Accelerated Infrastructure

ElevenLabs runs its voice AI platform for text-to-speech, voice cloning and speech-to-speech translation on Google Kubernetes Engine (GKE) with NVIDIA GPUs, using GPU optimization strategies such as Multi-Instance GPUs and GPU time sharing to improve utilization and reduce costs. The platform generates 600 hours of audio for every hour of real time, supports 29 languages (expanding to 40), and is reportedly used by 41% of Fortune 500 companies, powering products including AI Dubbing Studio, long-form audio for audiobooks and podcasts, article narration for outlets like The New York Times, and real-time conversational AI assistants.

ElevenLabsGoogle Kubernetes Engine (GKE) · NVIDIA H100 GPUs · Multi-Instance GPUs (MIG) +1

AutomotiveMachine LearningComputer Vision

Toyota shifts into overdrive: Developing an AI platform for enhanced manufacturing efficiency

Toyota's Production Digital Transformation Office built an in-house AI Platform on a Google Cloud hybrid architecture that lets factory floor employees create machine learning models without AI expertise, automating manual, labor-intensive tasks. Built by a six-person team in about 1.5 years, the platform runs at all 10 Toyota car and unit manufacturing factories; the number of models created rose from 8,000 in 2023 to 10,000 in 2024, saving over 10,000 man-hours per year, with nearly 1,200 active users and 400+ trained annually.

Toyota Motor CorporationGoogle Cloud · Google Kubernetes Engine (GKE) · GKE Enterprise +6