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Emmett Fear
June 29, 2025
GPU Survival Guide: Avoid OOM Crashes for Large Models
Offers a survival guide for using GPUs to train large AI models without running into out-of-memory (OOM) errors. Provides memory optimization techniques like gradient checkpointing to help you avoid crashes when scaling model sizes.
Guides
Emmett Fear
June 6, 2025
Scale AI Models Without Vendor Lock-In (Runpod)
Explains how Runpod enables you to scale AI models without being locked into a single cloud vendor. Highlights the platform’s flexibility for multi-cloud deployments, ensuring you avoid lock-in while expanding machine learning workloads.
Guides
Emmett Fear
June 6, 2025
How Runpod Empowers Open-Source AI Innovators
Highlights how Runpod supports open-source AI innovators. Discusses the platform’s community resources, pre-built environments, and flexible GPU infrastructure that empower developers to build and scale cutting-edge AI projects.
Guides
Emmett Fear
May 16, 2025
How to Serve Phi-2 on a Cloud GPU with vLLM and FastAPI
Provides step-by-step instructions to serve the Phi-2 language model on a cloud GPU using vLLM and FastAPI. Covers setting up vLLM for efficient inference and deploying a FastAPI server to expose the model via a REST API.
Guides
Emmett Fear
May 16, 2025
How to Run OpenChat on a Cloud GPU Using Docker
Offers a guide on running the OpenChat model on a cloud GPU using Docker. Explains how to configure the Docker environment for OpenChat and deploy it for inference, so you can interact with the model without local installation.
Guides
Emmett Fear
May 1, 2025
Train Any AI Model Fast with PyTorch 2.1 + CUDA 11.8 on Runpod: The Ultimate Guide
Demonstrates how to train any AI model quickly using PyTorch 2.1 with CUDA 11.8 on Runpod. Covers preparing the environment and using Runpod’s GPUs to accelerate training, with tips for optimizing training speed in the cloud.
Guides
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