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Emmett Fear
July 3, 2025
How can I fine-tune large language models on a budget using LoRA and QLoRA on cloud GPUs?
Explains how to fine-tune large language models on a budget using LoRA and QLoRA on cloud GPUs. Offers tips to reduce training costs through parameter-efficient tuning methods while maintaining model performance.
Guides
Emmett Fear
July 3, 2025
How can I maximize GPU utilization and fully leverage my cloud compute resources?
Provides strategies to maximize GPU utilization and fully leverage cloud compute resources. Covers techniques to ensure your GPUs run at peak efficiency, so no computing power goes to waste.
Guides
Emmett Fear
July 3, 2025
Seamless Cloud IDE: Using VS Code Remote with Runpod for AI Development
Shows how to create a seamless cloud development environment for AI by using VS Code Remote with Runpod. Explains how to connect VS Code to Runpod’s GPU instances so you can write and run machine learning code in the cloud with a local-like experience.
Guides
Emmett Fear
July 3, 2025
AI on a Schedule: Using Runpod’s API to Run Jobs Only When Needed
Explains how to use Runpod’s API to run AI jobs on a schedule or on-demand, so GPUs are active only when needed. Demonstrates how scheduling GPU tasks can reduce costs by avoiding idle time while ensuring resources are available for peak workloads.
Guides
Emmett Fear
July 3, 2025
Integrating Runpod with CI/CD Pipelines: Automating AI Model Deployments
Shows how to integrate Runpod into CI/CD pipelines to automate AI model deployments. Details setting up continuous integration workflows that push machine learning models to Runpod, enabling seamless updates and scaling without manual intervention.
Guides
Emmett Fear
June 29, 2025
Secure AI Deployments with RunPod's SOC2 Compliance
Discusses how Runpod’s SOC2 compliance and security measures ensure safe AI model deployments. Covers what SOC2 entails for protecting data and how Runpod’s infrastructure keeps machine learning workloads secure and compliant.
Guides
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