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Runpod Blog.

New Runpod datacenter now live: AP-IN-1 Track GPU spend across your team with Cost Centers The GPU supply supercycle is here. Here’s what AI builders need to know. Community Spotlight: One-click AI image and video generation on Runpod with SwarmUI | Runpod Blog Community Spotlight: LoRA Pilot Data Prep to Inference Introducing the Runpod Assistant: Manage Your Cloud GPU Resources with Natural Language OpenAI's Parameter Golf: Train the Best Language Model That Fits in 16MB on Runpod LLM inference optimization: techniques that actually reduce latency and cost Pruna P-Video and Vidu Q3 public endpoints now available on Runpod Runpod brand spelling guide Quickstart - Runpod Documentation The AI market looks nothing like the narrative Training StyleGAN3 with Vision-Aided GAN on Runpod KoboldAI – The Other Roleplay Front End, And Why You May Want to Use It How to Connect Cursor to LLM Pods on Runpod for Seamless AI Dev Community Spotlight: How AnonAI Scaled Its Private Chatbot Platform with Runpod Prompt Scheduling with Disco Diffusion on Runpod Runpod's Latest Innovation: Dockerless CLI for Streamlined AI Development Run Your Own AI from Your iPhone Using Runpod Introducing Flash: Run GPU workloads on Runpod Serverless: No Docker required Use Claude Code with your own model on Runpod: No Anthropic account required Avoid Errors by Selecting the Proper Resources for Your Pod What hackers built on Runpod at TreeHacks 2026 Easily Back Up and Restore Your Pod with Cloud Sync + Backblaze B2 The Complete Guide to GPU Requirements for LLM Fine-Tuning AI Guides, Tutorials & GPU Infrastructure Insights | Runpod Your first Claude Code project within Runpod: a complete setup guide 10 billion Serverless requests and counting Building for resilience: Runpod’s response to the AWS us-east-1 outage How to Connect Google Colab to Runpod
Enhanced CPU Pods Now Support Docker and Network Volumes
Brendan McKeag · 2025-03-03 · via Runpod Blog.

Consistent Developer Experience

Using the same Docker runtime across local development and our cloud platform eliminates the "works on my machine" problem. Your containerized applications will behave consistently whether developed locally or deployed to our platform.

Improved Performance

Docker's native runtime delivers lower container startup times and reduced overhead compared to Kata Containers, resulting in faster deployments and more efficient resource utilization.

Enhanced Compatibility

The switch to Docker increases compatibility with standard container tooling and workflows, allowing seamless integration with popular CI/CD pipelines and development tools.

Important Note: While our previous Kata-based pods supported Docker-in-Docker (nested containerization), this capability is no longer available with our Docker runtime CPU pods. We recommend adjusting your workflows to pre-build your Docker images and store them in a container registry before deployment. This may also be a good time to explore our GitHub integration for serverless, if your CPU workloads are a good candidate for it. While existing setups will continue to work for the moment, the plan is to move all customers to Docker containers for CPU over time.

Network Volume Support: Flexible Storage Solutions

CPU pods now support network volumes, previously available only for GPU workloads. This brings several advantages:

Persistent Data Access

Network volumes provide persistent storage that exists independently of pod lifecycles, ensuring your data remains accessible even after pod termination or restart.

Seamless Data Sharing

Multiple pods can now mount the same network volume simultaneously, enabling efficient data sharing across workloads without complex data transfer mechanisms.

Cost-efficient pricing

Network volumes can be dynamically resized to accommodate growing storage needs without pod reconfiguration, providing flexibility for evolving workloads. You can save up to half on your storage bill by moving it to a cost-efficient network volume:

Storage Type Under 1TB Over 1TB
Container or Disk Volume (running pod) $0.10/GB/Month $0.10/GB/Month
Disk Volume (stopped pod) $0.20/GB/Month $0.20/GB/Month
Network Volume $0.07/GB/Month $0.05/GB/Month

Containers are wiped when pods are stopped, so there is no applicable charge.

Getting Started

These enhancements are available immediately for all CPU pod users. To leverage these new capabilities, configure network volumes through our dashboard.

We're confident these improvements will significantly enhance your development experience on our platform. As always, we welcome your feedback as you explore these new capabilities.