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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? Spot vs. On-Demand Instances: What’s the Difference? Deploy GitHub Repos to Runpod with One Click Run GGUF Quantized Models Easily with KoboldCPP on Runpod How to Work with GGUF Quantizations in KoboldCPP Introducing Better Forge: Spin Up Stable Diffusion Pods Faster Supercharge Your LLMs with SGLang: Boost Performance and Customization Mastering Serverless Scaling on Runpod: Optimize Performance and Reduce Costs RAG vs. Fine-Tuning: Which Is Best for Your LLM? Run Larger LLMs on Runpod Serverless Than Ever Before – Llama-3 70B (and beyond!) How to Run vLLM on Runpod Serverless (Beginner-Friendly Guide) Embracing New Beginnings: Welcoming Banana.dev Community to Runpod Stable Diffusion + ComfyUI on Runpod: Easy Setup Guide Runpod RoundUp 2 – 32k Token Context LLMs and New StabilityAI Offerings Runpod Roundup: High-Context LLMs, SDXL, and Llama 2 16k Context LLM Models Now Available On Runpod Savings Plans Are Here For Secure Cloud Pods – How To Purchase a Monthly Plan And Save Big Pygmalion-7b from PygmalionAI has been released, and it's amazing Ada Architecture Pods Are Here – How Do They Stack Up Against Ampere? Spin up a Text Generation Pod with Vicuna and Experience a GPT-4 Rival Using OpenPose to Annotate Poses Within Stable Diffusion Set Up a Chatbot with Oobabooga on Runpod Connect VSCode to Your Runpod Instance (Quick SSH Guide) Deploy a Stable Diffusion UI on Runpod in Minutes Google Colab Pro vs. Runpod: Best GPU Cloud for AI Workloads How to Run a GPU-Accelerated Virtual Desktop on Runpod
Announcing Runpod's New Serverless CPU Feature
Brendan McKeag · 2024-05-28 · via Runpod Blog.

Announcing Runpod's New Serverless CPU Feature

We are thrilled to introduce the latest addition to the Runpod platform: Serverless CPU. This feature allows you to create high-performance VM containers with up to 3.75 GHz deviated cores, DDR5 memory, and NVME SSD storage.

With Serverless CPU, you have the flexibility to choose between Compute-Optimized or General Purpose CPUs and various configurations to suit your specific needs. Whether you require high compute power for intensive tasks or a balanced setup for general purposes, we've got you covered.

Getting Started:

  1. Create a New Endpoint: Select the CPU option to access our powerful VM containers.
  2. Choose Your Configuration: Opt for either Compute-Optimized or General Purpose CPUs, based on your workload requirements.
  3. Deploy and Scale: Enjoy the seamless experience of deploying and scaling your applications with Runpod's Serverless CPU.

Why Choose Serverless CPU over Serverless GPU?

While GPUs are well-known for their exceptional performance in parallel processing tasks, such as deep learning and complex computations, there are scenarios where CPUs are more suitable. Here are a few reasons why you might choose Serverless CPU over Serverless GPU:

  1. Cost Efficiency: CPUs can be more cost-effective for workloads that do not require the intensive parallel processing power of GPUs. For general-purpose tasks, data processing, and applications that rely on sequential processing, CPUs provide a budget-friendly solution.
  2. Versatility: CPUs are versatile and can handle a wide range of tasks beyond just parallel computations. They are ideal for running a variety of applications, including web servers, databases, and more, making them a great choice for diverse workloads.
  3. Ease of Integration: Many applications and software are optimized for CPU usage. When your workload aligns with these applications, using a CPU can simplify integration and deployment processes.
  4. Resource Availability: In some cases, GPU resources might be limited or in high demand, leading to potential delays or higher costs. CPUs, being more widely available, can provide a reliable alternative.

Embrace the power of Runpod's Serverless CPU and elevate your application's performance today!

For a step-by-step guide on how to get started, check out our tutorial: Run an Ollama Server on a Runpod CPU.

Start Up a CPU Serverless Endpoint

The Chips Got Faster. The Stack Didn't.

The Chips Got Faster. The Stack Didn't.

The bottleneck has moved.

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Multi-Instance GPUs on Runpod: Stop Paying for Compute You Don't Need

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With MIG, we can partition RTX 6000 Pro cards into isolated 24 GB instances. Here's when it makes sense for your workloads.

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OpenAI Parameter Golf: what 1,100 researchers built in six weeks

OpenAI Parameter Golf: what 1,100 researchers built in six weeks

How 1,100 researchers beat OpenAI's own baseline with 16 megabytes and 10 minutes.

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Build what’s next.

The most cost-effective platform for building, training, and scaling machine learning models—ready when you are.