EMPEG, DTEA, and the Future of Data Center Efficiency

The global digital economy is entering a new infrastructure era. Artificial intelligence, streaming video, cloud computing, gaming, remote work, connected devices, digital advertising, and enterprise applications are increasing the volume of data being stored, transmitted, processed, copied, and delivered every second.

Data centers sit at the center of this expansion. They power nearly every modern digital experience, but they are also under growing pressure from rising storage demand, bandwidth consumption, energy use, cooling requirements, and infrastructure costs.

For years, the dominant response to data growth has been physical expansion: more servers, more storage, more fiber, more cooling, more power, and more data center capacity. While new infrastructure remains essential, the next phase of digital growth cannot depend on brute-force expansion alone. The next phase requires efficiency.

The Data Transmission Efficiency Association — DTEA — was created to advance practical, measurable, interoperable improvements in how data moves across the digital economy. Its mission is to help organizations transmit, store, and deliver more data with less waste.

EMPEG represents a powerful example of this mission in action. As a software-based infrastructure efficiency layer designed to reduce the size and burden of video files across existing MPEG-standard workflows, EMPEG has the potential to improve efficiency across storage, transmission, delivery, and data center operations.

This white paper explores how EMPEG and DTEA together can help data centers and digital platforms move from brute-force infrastructure growth to intelligent scale.

The world is producing and moving more data than ever before. A single video stream, business file, cloud application, AI request, or live broadcast may seem small from the user’s point of view. Behind every digital interaction, however, is a complex chain of infrastructure: data centers, cloud platforms, fiber networks, storage systems, encoding pipelines, content delivery networks, routers, servers, cooling systems, and power grids.

As digital usage grows, this infrastructure is asked to do more every year. The challenge is not simply that the world needs more digital capacity. The challenge is that too much data is transmitted and stored inefficiently.

When files are larger than necessary, the entire system carries the burden. Larger files require more storage. More storage requires more hardware. More hardware requires more physical space. More physical space requires more cooling. More cooling requires more energy. More energy increases cost and environmental pressure.

Every inefficient file may be stored, copied, backed up, transmitted, cached, delivered, and replayed many times. When that inefficiency is multiplied across millions or billions of files and streams, the cost becomes substantial.

Data centers are therefore facing a dual challenge: they must support massive growth in digital activity while also becoming more efficient, sustainable, and cost-effective.

Data centers are no longer just technical facilities. They are critical infrastructure. They support healthcare systems, financial transactions, education platforms, government operations, entertainment networks, artificial intelligence, communications, cybersecurity, retail, logistics, and nearly every major sector of the economy.

As dependence on data centers grows, so does the importance of making them more efficient. Data center efficiency affects:

• Operating cost: storage, compute, bandwidth, cooling, and energy are major cost centers. Even small efficiency gains can create meaningful savings at scale.
• Capacity planning: efficient data transmission can help existing infrastructure support more digital activity before requiring expensive expansion.
• Energy demand: reducing unnecessary storage and transmission load can help lower pressure on energy systems and cooling infrastructure.
• Network performance: lighter data loads can reduce congestion, improve throughput, and support more reliable delivery.
• Sustainability: efficiency is becoming central to environmental, social, and governance goals across cloud, media, AI, and technology companies.
• Scalability: the digital economy cannot scale responsibly if every increase in data volume requires an equal increase in physical infrastructure.

Data growth may be inevitable. Data waste is not.

Video is one of the largest drivers of modern data infrastructure demand. Streaming entertainment, live sports, video conferencing, online learning, gaming, digital advertising, enterprise training, social media, surveillance, telehealth, and user-generated content all rely heavily on video.

Video is infrastructure-intensive because it affects multiple layers of the digital stack: encoding, storage, backup, transcoding, transmission, caching, content delivery, playback, and archiving.

An inefficient video file does not create cost in only one place. It creates cost across the entire lifecycle of that file. A larger-than-necessary video file may require more storage in a data center, more bandwidth across networks, more compute during processing, more delivery capacity through CDNs, and more energy across the infrastructure chain.

That is why improving video efficiency is one of the most practical ways to improve broader data center performance. If video can be made lighter while preserving quality and interoperability, the benefits can extend far beyond media delivery alone.

The Data Transmission Efficiency Association — DTEA — exists to advance the science, practice, and adoption of data transmission efficiency.

DTEA’s core belief is simple: the future of digital infrastructure depends not only on how much capacity the world builds, but on how intelligently existing capacity is used.

DTEA is not built around a single company, single product, or single proprietary solution. It is designed as an industry platform for collaboration, education, validation, best practices, and adoption.

Its mission includes:

• Advancing awareness of data transmission efficiency as a strategic infrastructure priority.
• Supporting technologies and practices that reduce unnecessary data burden.
• Encouraging interoperability across existing digital systems.
• Helping organizations understand the operational, economic, and sustainability benefits of efficiency.
• Creating a forum for infrastructure leaders, technology companies, cloud platforms, media organizations, and data-dependent enterprises to collaborate.
• Promoting practical solutions that can be implemented without major disruption to existing workflows.

DTEA’s work is especially important because many organizations still treat data growth as an unavoidable cost. The association challenges that assumption.

EMPEG is a software-based infrastructure efficiency layer designed to reduce the size and burden of video files across existing MPEG-standard workflows.

Its value lies in three key principles:

Efficiency

EMPEG is designed to reduce the data burden associated with video files, helping organizations move and store video more efficiently.

Compatibility

EMPEG is positioned to work within existing MPEG-standard workflows, reducing the need for companies to replace existing infrastructure.

Scalability

Because video files are transmitted and stored at massive scale, even incremental efficiency improvements can create meaningful impact when applied across large media libraries, streaming platforms, broadcasters, cloud environments, or enterprise video systems.

EMPEG shows how software-based efficiency can reduce the burden of video without forcing companies to rebuild the systems they already use.

EMPEG can support data center efficiency by reducing the weight of video files before they create downstream infrastructure burden. The potential impact can be understood across several layers.

Storage Efficiency

Video libraries require significant storage capacity. If video files can be reduced in size, platforms may lower storage requirements across primary storage, backup systems, archives, and replicated environments. This can help reduce hardware demand and delay the need for additional storage expansion.

Transmission Efficiency

Smaller video files can reduce the amount of data transmitted across networks. This can lower bandwidth pressure and improve delivery economics. For platforms that transmit video at scale, this can create meaningful operational savings.

Compute and Workflow Efficiency

Video files often move through multiple processing steps, including encoding, transcoding, packaging, quality control, and delivery preparation. More efficient files can reduce the burden on certain workflow stages and support more efficient infrastructure utilization.

Energy and Cooling Impact

Lower storage and transmission demand can reduce pressure on servers, storage arrays, networking equipment, and cooling systems. While results depend on deployment specifics, improved file efficiency can contribute to lower infrastructure intensity over time.

Data Center Capacity Optimization

By reducing unnecessary data load, organizations may be able to extract more value from existing infrastructure. Instead of expanding capacity only through new hardware, they can increase productivity through efficiency.

The power of data transmission efficiency comes from scale. One optimized video file may create only a small operational benefit. One million optimized files can reduce meaningful storage and transmission load. Billions of optimized streams can change the economics of digital infrastructure.

Efficiency compounds because each improvement can affect multiple parts of the digital chain. The data center stores less. The network transmits less. The cloud platform processes less. The CDN delivers less unnecessary load. The energy system supports less waste. The company spends less on avoidable infrastructure burden.

At small scale, efficiency is helpful. At internet scale, efficiency becomes strategic.

The digital economy has spent decades expanding through capacity. That expansion has enabled extraordinary innovation. But the next decade will require a more balanced model.

The old model is: more demand means more infrastructure. The new model is: more demand requires smarter infrastructure.

This does not mean data centers will stop expanding. AI, cloud computing, streaming, and connected devices will require significant new capacity. But physical expansion should not be the only answer.

The more sustainable and cost-effective model combines capacity growth with efficiency improvement. DTEA and EMPEG are aligned around this transition.

DTEA provides the industry platform and mission. EMPEG provides a practical example of how software-based efficiency can reduce unnecessary burden in one of the heaviest categories of data: video.

For EMPEG and similar efficiency technologies to create meaningful impact, implementation must be practical. Organizations evaluating data transmission efficiency should consider:

Compatibility

Does the solution work with existing codecs, encoders, storage systems, and delivery workflows?

Interoperability

Does the output remain compatible with existing playback environments and infrastructure?

Workflow disruption

Can the solution be deployed without requiring major system replacement?

Measurement

How will efficiency improvements be validated? Useful metrics may include file size reduction, bandwidth reduction, storage reduction, quality preservation, delivery performance, energy impact, cost savings, and workflow impact.

Scalability

Can the solution operate across large libraries, live workflows, cloud environments, and high-volume delivery systems?

Governance

Can the organization establish clear standards for testing, reporting, compliance, and operational adoption?

These are exactly the kinds of questions DTEA can help the market organize around.

Technology alone does not transform infrastructure markets. Markets also need trust, education, validation, shared language, and adoption pathways. DTEA can help accelerate adoption by giving data transmission efficiency a credible industry platform.

• Publishing best practices
• Supporting technical education
• Creating efficiency frameworks
• Encouraging pilot programs
• Bringing together technology providers and infrastructure operators
• Promoting transparent measurement
• Helping buyers understand the business case for efficiency
• Building public awareness around data infrastructure waste

This matters because efficiency is often invisible. Users notice when a stream fails, when an application is slow, or when cloud services go down. They do not see the waste inside the system. DTEA’s role is to make that waste visible, measurable, and solvable.

The next generation of data center strategy should include a broader definition of productivity. Traditional data center performance metrics often focus on uptime, capacity, redundancy, security, cooling, and energy usage. Those metrics remain important, but the industry also needs to ask:

• How much unnecessary data are we storing?
• How much avoidable traffic are we transmitting?
• How many files are larger than they need to be?
• How much infrastructure expansion is caused by inefficient data movement?
• How much cost could be reduced through smarter transmission?
• How much energy demand could be avoided through efficiency?

This creates a new strategic category: Data Transmission Productivity. Data Transmission Productivity measures how effectively infrastructure moves useful data without unnecessary waste. EMPEG can be positioned as a tool for improving this productivity in video workflows. DTEA can be positioned as the organization defining and advancing the broader category.

The internet will continue to grow. AI will grow. Video will grow. Cloud computing will grow. Digital commerce will grow. Remote work will grow. Connected devices will grow. Enterprise data will grow.

The question is not whether data will increase. The question is whether waste will increase at the same pace. DTEA believes the answer should be no.

The future of digital infrastructure must be built on both capacity and intelligence. More data centers may be needed, but they should be more efficient. More networks may be needed, but they should carry data more intelligently. More cloud services may be needed, but they should reduce avoidable processing and storage waste wherever possible.

EMPEG provides a practical example of how that future can begin. By reducing the burden of video files within existing workflows, EMPEG can help organizations address one of the largest and fastest-growing sources of data infrastructure demand. DTEA provides the platform to turn that kind of innovation into a broader industry movement.

The digital economy cannot afford to treat inefficiency as a permanent cost of progress. Data centers are under growing pressure from video, AI, cloud computing, enterprise applications, and connected devices. Building more infrastructure will remain necessary, but it cannot be the only strategy.

The next era requires a smarter approach. That approach begins with data transmission efficiency.

EMPEG demonstrates how software-based efficiency can reduce the burden of video across existing workflows. DTEA gives that mission an industry platform, helping companies, technologists, infrastructure operators, and digital leaders collaborate around a shared goal: moving more data with less waste.

Together, EMPEG and DTEA represent a shift from brute-force growth to intelligent scale. The internet does not only need to get bigger. It needs to get smarter. And the future of data centers will be defined not just by how much data they can hold, but by how efficiently they can move it.