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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
Runpod Slashes GPU Prices: More Power, Less Cost for AI B...
Pardeep Singh · 2024-07-12 · via Runpod Blog.

Runpod is dropping prices across our Serverless and Secure Cloud services. Why? Because we believe in giving you the firepower you need to build applications without breaking the bank.

The Lowdown on Our New Pricing

Let's cut to the chase. Here's what's changing:

Serverless: Flexibility Without the Fuss

We've trimmed the fat on our Serverless pricing. Check it out:

GPU Model Flex Worker (Old → New /hr) Active Worker (Old → New /hr)
16GB$0.72 → $0.58$0.43 → $0.40
24GB$0.94 → $0.69$0.58 → $0.48
24GB PRO$1.58 → $1.10$0.94 → $0.77
48GB$1.73 → $1.22$1.04 → $0.85
48GB PRO$2.48 → $1.90$1.48 → $1.33
80GB$4.68 → $2.72$2.81 → $2.17
80GB PRO$9.00 → $5.59$5.40 → $4.47

That's right, we've slashed prices by up to 40% on some models. Your AI workloads just got a whole lot more affordable.

Secure Cloud: Heavy-Duty Compute, Lightweight Prices

For those of you running beefy workloads, our Secure Cloud pricing has also gotten a makeover:

GPU Model Old Price → New Price /hr
AMD MI300X Instinct 192GB$4.89 → $3.99
Nvidia H100 SXM5 Hopper 80GB$4.69 → $3.99
Nvidia H100 NVL Hopper 94GB$4.39 → $3.69
Nvidia H100 PCIe Hopper 80GB$3.69 → $3.29
Nvidia A100 SXM4 Ampere 80GB$2.19 → $1.94
Nvidia A100 PCIe Ampere 80GB$1.89 → $1.69
Nvidia L40S Ada Lovelace 48GB$1.34 → $1.19
Nvidia 6000 Ada Lovelace 48GB$1.14 → $1.03
Nvidia L40 Ada Lovelace 48GB$1.14 → $0.99
Nvidia 4090 Ada Lovelace 24GB$0.74 → $0.69

We've trimmed Secure Cloud prices across the board, with some models seeing cuts of up to 18%.

Why We're Doing This

Look, we get it. AI development is expensive. GPUs aren't cheap, nor is the infrastructure to run them at scale. But we believe that great ideas shouldn't be held back by budget constraints.

We've been fortunate to secure some serious funding recently. And instead of blowing it all on fancy office chairs or an in-house barista (tempting as that was), we chose to invest the savings in you.

  1. Infrastructure Optimization: We've streamlined our operations, allowing us to pass savings directly to you.
  2. Enhanced Support: We're focusing our support team to be closer to you, our customers. This means faster response times and more personalized assistance.
  3. Platform Improvements: We're continuously working on reducing cold start times, enhancing our API, and introducing new features to make your experience smoother.
  4. Community Investment: We're increasing our efforts to foster a vibrant community of AI developers and practitioners, including more resources, tutorials, and community events.

By optimizing our pricing, we're not just cutting costs – we're reinvesting in the platform and community to provide you with a better overall experience.

What This Means for You

  1. Experiment Without Fear: Got a wild AI idea? Now, you can test it without worrying about burning your budget.
  2. Enhanced Support and Resources: Benefit from our expanded support team and upcoming platform improvements, all aimed at making your development process smoother.
  3. Community Growth: Be part of a growing community of AI developers, with more opportunities for learning, collaboration, and knowledge sharing.

Want to dive deeper into the numbers? Check out our complete pricing page for a full breakdown of all our GPU options and to find the perfect fit for your project.

The Runpod Promise

We're not just about affordable GPUs. We're about giving you the tools you need to push the boundaries of what's possible with AI. That means reliability, performance, and support you can count on.

Our team is constantly working on improvements to make your Runpod experience even better.

What's Next?

This is just the beginning. We have big plans for the future, and we can't wait to share them with you. Keep an eye on our blog and GitHub for upcoming features and improvements.

In the meantime, why not take our new pricing for a spin? Whether you're a seasoned AI veteran or just dipping your toes into the world of AI applications, there's never been a better time to run with Runpod.

Get Started with Runpod

Let's build the future together – for less.

Author profile: Pardeep Singh