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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
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

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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.