Dynamic pricing allows AI developers to align costs with market
demand for GPUs and reduce the price of AI training and
inference.
HELSINKI, Aug. 2, 2024
/PRNewswire-PRWeb/ -- DataCrunch, a leading provider of cloud GPU
solutions for AI, has today introduced the first dynamic pricing
solution for cloud GPU computing. This new pricing strategy aims to
improve cost-efficiency and transparency in AI training and
inference, allowing DataCrunch customers to align costs with real
market conditions.
Dynamic pricing is our way to align the
price of AI training and inference efficiently based on market
demand
"We all know that the market for high-end Cloud GPU instances is
broken. Too many AI developers struggle to find enough compute
capacity for their AI training and inference projects. When new
GPUs like the H100 or H200 get released, everyone scrambles to
access the latest shiny GPUs leaving cloud GPU providers with idle
inventory of other powerful cloud GPUs" states DataCrunch founder
and CEO Ruben Bryon, adding "Dynamic
pricing is our way to set the pricing of our services efficiently
based on market demand. This makes pricing radically fair and
transparent for everyone."
How Dynamic Pricing Works
Dynamic pricing allows customers to choose between a fixed price
and a fluctuating market price when deploying Pay As You Go
instances of Cloud GPUs. Similar to energy contracts, the dynamic
market price changes daily based on demand. When demand is low, the
dynamic price can be lower than the fixed price, offering immediate
cost savings. Conversely, when demand is high, the price for a
specific GPU may be higher. Importantly, the dynamic price is
adjusted only once per day, ensuring a stable and predictable
pricing structure.
"At DataCrunch, transparency is one of our core values. Dynamic
pricing shows this commitment by reflecting real market conditions,
ensuring that customers always pay a fair price that accurately
represents the value of the resources they consume. This model
allows for better budget management and cost predictability, while
allowing us to better manage idle inventory" comments Ruben Bryon.
User-Friendly Implementation
Deploying instances with dynamic pricing is straightforward.
Customers can easily select their preferred pricing model via an
intuitive user interface. Users can choose between fixed and
dynamic pricing, highlighting the immediate benefits of cost
savings when the variable price is lower. Customer can see the
historic price for different high-performance GPUs and make
informed decisions of which GPU to use in their next
deployment.
Benefits for AI Developers
Dynamic Pricing offers several key advantages:
- Flexibility: Choose the pricing model that best suits project
needs, whether fixed or dynamic.
- Cost Savings: Optimize expenses by taking advantage of lower
prices during periods of low demand, or lower market price cloud
GPUs.
- Improved Budget Management: Achieve better control and
predictability over AI project budgets.
Looking Ahead
DataCrunch is committed to offer the very best cloud GPU
solutions, competitive pricing and exceptional customer support.
"To our knowledge we are the first major cloud GPU provider giving
such market-driven pricing and this has capacity to disrupt the
whole market" reflects Ruben
Bryon.
About DataCrunch
DataCrunch is a pioneer in providing high-performance cloud GPU
solutions for AI training and inference. Our mission is to deliver
innovative, cost-effective, and transparent solutions that meet the
evolving needs of AI developers around the world. By leveraging
cutting-edge technology and market-responsive pricing models,
DataCrunch empowers customers to achieve their AI goals efficiently
and affordably.
Contact Information
For more information about dynamic pricing and other services,
please visit DataCrunch.io or contact:
Press Contact:
Lari Numminen
Phone: (358)503394684
Email: lari@datacrunch.io
Media Contact
Lari Numminen, DataCrunch Oy, 358 0503394684,
lari@datacrunch.io, https://datacrunch.io
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SOURCE DataCrunch Oy