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Introducing Dynamic Pricing for Cloud GPU Instances – A New Way to Reduce the Cost of AI Computing

4 min read
Introducing Dynamic Pricing for Cloud GPU Instances – A New Way to Reduce the Cost of AI Computing

At DataCrunch, we're on a mission to democratize access to AI hardware and engineering solutions. As part of our commitment to offer the best value to our customers, we are excited to announce the launch of dynamic pricing on the DataCrunch Cloud Platform. Dynamic pricing is the first transparent pricing solution for cloud GPU instances that changes dynamically based on market demand for computing capacity.

cloud gpu instance dynamic pricing

Today, the demand for GPU processing power is at an all-time high, driven by the surge in AI training and inference projects. This global trend has led to frustration among many AI developers due to high prices and restricted availability of premium GPUs and computing capacity. Dynamic pricing aims to address these challenges by offering a more transparent solution where the price you pay is based on demand for a specific GPU and dynamically adjusted based on availability.

What is Dynamic Pricing?

Dynamic pricing offers a flexible alternative to a fixed pricing model for cloud GPU computing capacity. When deploying a Pay As You Go instance on the DataCrunch Cloud Platform, you can now choose between a fixed price and a dynamic price. Similar to how energy contracts work, the dynamic price changes daily based on demand. This means that when demand is low, the dynamic price can be lower than the fixed price, allowing you to save on costs. Conversely, when demand is high, the dynamic price may be higher. Importantly, the dynamic price is adjusted only once per day, providing a stable and predictable pricing structure.

How Dynamic Pricing Works

The core of our dynamic pricing model lies in responding live to market demand. Each day, the dynamic price is recalculated based on current supply and demand. This ensures that the pricing reflects the actual usage patterns and market conditions, offering you the opportunity to optimize your expenses. By choosing dynamic pricing, you can take advantage of lower prices during periods of low demand, making your AI training and inference more cost-effective.

cloud gpu dynamic pricing close up

Transparency and Market Demand

At DataCrunch, transparency is one of our guiding principles. We believe that our customers deserve to know exactly what they are paying for and why. Dynamic pricing shows this commitment by aligning our service costs with market demand. This means that you are always paying a fair price that accurately represents the value of the resources you consume.

Addressing High Demand for GPU Processing Power

The current high demand for GPU processing power, especially for high-end NVIDIA GPUs, has made it challenging for AI developers to access the necessary computing resources. This surge in demand has driven up prices and restricted availability, creating obstacles for many projects. With our dynamic pricing model, we provide a solution that allows you to better manage your costs during peak demand periods. By offering market-driven pricing, we help you navigate these challenges and maintain the flexibility and affordability you need for your AI projects.

nvidia v100 price - dynamic cost per hour

Benefits of Dynamic Pricing for Customers

Dynamic pricing offers several key advantages for our customers:

  1. Flexibility: Choose the pricing model that best suits your needs, whether it's fixed or dynamic.

  2. Cost Savings: Take advantage of lower prices during periods of low demand, reducing overall expenses.

  3. Budget Management: Better control and predictability over your AI project budgets, aligning costs with actual usage.

Implementation and User Experience

Getting started with dynamic pricing is simple. When deploying a Pay As You Go instance, you will be presented with the option to select either fixed or dynamic pricing. You can convert your dynamic price instances to fixed price at any time unless the price increases above the fixed price. For more information, see our pricing docs.

Outlook for the Future

We are continuously exploring ways to provide more premium cloud computing solutions at affordable prices. Our goal is to ensure that we continue our rapid international growth by providing the best value to our customers.

Dynamic pricing is a significant step forward in our mission to offer transparent, cost-effective cloud GPU solutions. We encourage you to explore this new pricing model and take advantage of the potential savings. Spin up your own dynamic price instance at cloud.datacrunch.io.