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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 Founder Series #1: The Runpod Origin Story AMD MI300X vs. NVIDIA H100: Mixtral 8x7B Inference Benchmark How to Run the FLUX Image Generator with ComfyUI on Runpod Run Llama 3.1 405B with Ollama on Runpod: Step-by-Step Deployment How to Run FLUX Image Generator with Runpod (No Coding Needed) How to Use 65B+ Language Models on Runpod Deploy Llama 3.1 with vLLM on Runpod Serverless: Fast, Scalable Inference in Minutes Open Source Video & LLM Roundup: The Best of What’s New Run vLLM on Runpod Serverless: Deploy Open Source LLMs in Minutes Introduction to vLLM and PagedAttention New update to Github integration: release rollback! | Runpod Blog A note to the developers who built Runpod with us Deploy ComfyUI as a Serverless API Endpoint Setting up Slurm on Runpod Clusters: A Technical Guide Building an OCR System Using Runpod Serverless From No-Code to Pro: Optimizing Mistral-7B on Runpod for Power Users Lessons While Using Generative Language and Audio For Practical Use Cases Runpod RoundUp 3 – AI Music and Stock Sound Effect Creation New Navigational Changes To Runpod UI Use alpha_value To Blast Through Context Limits in LLaMa-2 Models Runpod Roundup 5 – Visual/Language Comprehension, Code-Focused LLMs, and Bias Detection Runpod is Proud to Sponsor the StockDory Chess Engine Runpod Roundup 4 – Open Source LLM Evaluators, 3D Scene Reconstruction, Vector Search Meta and Microsoft Release Llama 2 as Open Source SuperHot 8k Token Context Models Are Here For Text Generation How to Manage Funding Your Runpod Account Encrypted Volumes on Runpod: Protect Your Data at Rest How to Run a "Hello World" on Runpod Serverless Runpod AI field notes: December 2025 Faster GitHub Builds: Major Performance Improvements to Our Automated Integration Partnering with Defined AI to Bridge the Data Wealth Gap How to Run Serverless AI and ML Workloads on Runpod How to fine-tune a model using Axolotl Transcribe and translate audio files with Faster Whisper Runpod Achieves SOC 2 Type II Certification: Continuing Our Compliance Journey Orchestrating GPU workloads on Runpod with dstack Exploring Runpod Serverless: Create Workers From Templates DeepSeek V3.1: A Technical Analysis of Key Changes from V3-0324 Deep Cogito Releases Suite of LLMs Trained with Iterative Policy Improvement Wan 2.2 Releases With a Plethora Of New Features Iterative Refinement Chains with Small Language Models The New Runpod.io: Clearer, Faster, Built for What’s Next Introducing Clusters: On-Demand Multi-Node AI Compute Run DeepSeek R1 on Just 480GB of VRAM How Do I Transfer Data Into My Runpod? 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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.