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Emmett Fear

Emmett runs Growth at Runpod. He lives in Utah with his wife and dog, and loves to spend time hiking and paddleboarding. He has worked in many different facets of tech, from marketing, operations, product, and most recently, growth.

Runpod: Bare Metal GPUs for High-Performance AI Workloads

Explains how Runpod’s bare metal GPU servers eliminate up to 40% virtualization overhead for high-performance AI workloads, boosting model training speed and efficiency.
Guides

Everything You Need to Know About Nvidia H100 GPUs

Comprehensive overview of the Nvidia H100 GPU, including its architecture, release details, performance, AI and compute capabilities, and use cases.
Guides

Everything You Need to Know About the Nvidia A100 GPU

Comprehensive overview of the Nvidia A100 GPU, including its architecture, release details, performance, AI and compute capabilities, key features, and use cases.
Guides

Bare Metal GPUs: Everything You Should Know In 2025

Comprehensive overview of bare metal GPUs in 2025, explaining how dedicated physical GPU servers (without virtualization) offer flexible, powerful, and cost-efficient infrastructure for AI workloads.
Guides

Deploy PyTorch 2.2 with CUDA 12.1 on Runpod for Stable, Scalable AI Workflows

Provides a walkthrough for deploying PyTorch 2.2 with CUDA 12.1 on Runpod, covering environment setup and optimization techniques for stable, scalable AI model training workflows in the cloud.
Guides

Power Your AI Research with Pod GPUs: Built for Scale, Backed by Security

Introduces Runpod’s Pod GPUs as a scalable, secure solution for AI research, providing direct access to dedicated GPUs that can turn multi-week experiments into multi-hour runs.
Guides

How to Run Ollama, Whisper, and ComfyUI Together in One Container

Learn how to run Ollama, Whisper, and ComfyUI together in one container to accelerate your AI development.
Guides

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