introducing flex

the solution to the data center power crisis

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Challenge

the problem

there isn't enough power for all the GPUs

2020
Present
2030
Low
AI Power Demand

*Based on data from pilot implementations across multiple data centers
Source: McKinsey, Goldman Sachs, Morgan Stanley

Approach

the solution

run workloads when energy is cheapest

12 AM
4 AM
8 AM
12 PM
4 PM
8 PM
12 AM
Power Price
High Price
Low Price
Pause
workloads
Pause
workloads

when power is expensive, we don't have enough, it uses fossil fuels and costs the most

Implementation

how it works

Energy Utility
Data Center
GPU Cluster
Flex Utility
Flex DC
Flex GPU
Flex Platform
Our flexing platform is a world first, linking the utility, data center and GPU, to enable the GPU to respond to power price events.

Flexing shows significant cost savings

20% flexing reduces energy costs by 50%*

*Based on data from pilot implementations across multiple data centers

Perfect Fit

AI workloads are perfect for flexing

Summarize the quarterly earnings report
Generate product description for new kitchen appliance
What are the health benefits of meditation?
Analyze marketing campaign performance data

Cost Breakdown

GPU Chips: $1,200/hour
Facility Rent: $450/hour
Power: $850/hour
Total: $2,500/hour

AI processing can be scheduled during low-cost energy periods, reducing operational costs without impacting performance.

Download our white paper

For all enquiries, please contact corporate@flipped.energy