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How do I build a scalable, low‑latency speech recognition pipeline on Runpod using Whisper and GPUs?
Deploy real-time speech recognition with Whisper and faster-whisper on Runpod’s GPU cloud—optimize latency, cut costs, and transcribe multilingual audio at scale using serverless or containerized ASR pipelines.
Guides
The Future of 3D – Generative Models and 3D Gaussian Splatting on Runpod
Explore the future of 3D with Runpod—train and deploy cutting-edge models like NeRF and 3D Gaussian Splatting on scalable cloud GPUs. Achieve real-time rendering, distributed training, and immersive AI-driven 3D creation without expensive hardware.
Guides
Edge AI Revolution: Deploy Lightweight Models at the Network Edge with Runpod
Deploy high-performance edge AI models with sub-second latency using Runpod’s global GPU infrastructure. Optimize for cost, compliance, and real-time inference at the edge—without sacrificing compute power or flexibility.
Guides
Real-Time Computer Vision – Building Object Detection and Video Analytics Pipelines with Runpod
Build and deploy real-time object detection pipelines using YOLO and NVIDIA DeepStream on Runpod’s scalable GPU cloud. Analyze video streams at high frame rates with low latency and turn camera data into actionable insights in minutes.
Guides
Reinforcement Learning Revolution – Accelerate Your Agent’s Training with GPUs
Accelerate reinforcement learning training by 100× using GPU-optimized simulators like Isaac Gym and RLlib on Runpod. Launch scalable, cost-efficient RL experiments in minutes with per-second billing and powerful GPU clusters.
Guides
Turbocharge Your Data Pipeline: Accelerating AI ETL and Data Augmentation on Runpod
Supercharge your AI data pipeline with GPU-accelerated preprocessing using RAPIDS and NVIDIA DALI on Runpod. Eliminate CPU bottlenecks, speed up ETL by up to 150×, and deploy scalable GPU pods for lightning-fast model training and data augmentation.
Guides