Reimagining Data Infrastructure: Powering the Future of Sustainable AI

Reimagining Data Infrastructure:

Powering the Future of Sustainable AI

The Rise of AI Technologies Threatens Environmental Progress

Sustainable development “meets the needs of the present without compromising the ability of future generations to meet their own needs.” 1

“By 2025, without AI sustainability practices, AI will consume more energy than the human workforce, significantly offsetting carbon-zero gains.”2

Power & Cooling

Water

4.2 Billion

gallons of water Google
used in 20215

5 Billion

gallons of water Google
used in 20225

34%

of Microsoft data centers water
usage increase from 2021 to 20225

Performance

Traditional data architectures compound environmental concerns by causing latency and bottlenecks in the data pipeline.

GPUs are voraciously energy-hungry and carbon-intensive, requiring a veritable ocean of streaming data to fuel them. Idle GPUs consume enormous amounts of energy and emit greenhouse gases.

70% the amount of time a GPU can sit idle waiting for data to run on a traditional architecture.

What Drives Excessive Energy Consumption and Carbon Emissions in Data Management?

Siloed applications

Extensive
data movement

Oversizing an
environment to meet
performance goals

The Tide Is Changing

Keywords related to “Sustainable AI” are appearing in more often in research

68%

of organizations are concerned about the impact of AI/ML on their use of energy and their carbon footprint.

74%

of organizations see sustainability as a critical or important driver for moving workloads to the public cloud

45%

of organizations are measuring the impact of their IT infrastructures

45%

of organizations are monitoring their current carbon footprint with innovative technologies

30%

of organizations are executing a formal program that’s driving significant impact

WEKA Advances Sustainable AI Innovation

The WEKA® Data Platform removes barriers to data-driven innovation through its advanced, high-speed software architecture optimized to solve complex data challenges, drive improved AI/ML and HPC stack efficiencies, and reduce the overall data infrastructure footprint.

How Does WEKA Foster Sustainable
Data Management?

Reduce Data
Footprint

Reduce Carbon
Footprint

Optimize
GPUs

The WEKA Data Platform is a zero-copy, zero-tune solution that allows you to store data only once, reducing wasteful idle and waiting time.