As data centers become the backbone of AI workloads, they face immense energy demands, particularly in managing thermal output. Cooling systems can account for up to 38% of a data center’s total energy consumption. Traditional systems struggle to adjust cooling needs efficiently, leading to higher costs and energy waste. Axiado’s AI-driven DTM solution solves this challenge by using predictive modeling and real-time performance data to manage server cooling proactively.

“As AI data centers continue to grow in scale and complexity, the need for integrated security and energy efficiency is more critical than ever,” said Gopi Sirineni, President and CEO of Axiado. “Our Dynamic Thermal Management solution, powered by the TCU, not only accelerates cooling efficiency but also strengthens the security foundation of data centers. By combining AI-driven thermal management with hardware-anchored cybersecurity, we are shaping the future of AI infrastructures—making them more secure, sustainable, and cost-effective at every level.”

Axiado’s DTM solution provides a powerful, real-life customer use case demonstrating the advanced capabilities of its TCU technology. The TCU provides the foundation for the DTM solution by embedding AI-driven control at the hardware level. This integration enables precise management of cooling systems, ensuring optimal energy use in real-time based on fluctuating server demands. This approach results in up to a 50% reduction in cooling energy consumption, saving AI data centers millions of dollars annually. For example, in a data center with 100,000 servers, savings can exceed $7 million each year, delivering up to an 11% reduction in CO2 emissions, equivalent to the carbon absorption of more than 834,000 trees.

The DTM solution is well-suited for AI data centers, where fluctuating workloads and high computing power generate significant heat. Axiado’s TCU enables real-time predictive AI modeling, adjusting cooling needs dynamically based on server performance data. This ensures efficient cooling for AI workloads, reducing energy waste while improving overall performance per watt, and cost-efficiency in AI-driven infrastructures.

Key Features and Benefits of Axiado’s Dynamic Thermal Management (DTM) Solution:

• AI-Driven Cooling Optimization: Uses predictive AI modeling to dynamically adjust cooling systems based on real-time server workload data, ensuring optimal energy use.
• Energy Savings: Delivers up to a 50% reduction in cooling energy consumption, saving millions in annual operational costs.
• Environmental Impact: Reduces CO2 emissions by up to 11%, contributing to carbon-neutral data center goals.
• Proactive Cooling Management: Anticipates server cooling needs in real-time, reducing the need for reactive cooling and improving energy efficiency.
• Scalable Solution: Suitable for large-scale AI data centers with diverse and elastic workloads, improving overall data center performance.
• Seamless Integration with TCU: Powered by Axiado’s TCU, combining AI-driven platform security with efficient thermal management.
• Tested Across Leading Platforms: Successfully implemented and tested on NVIDIA’s MGX platform, Intel’s Granite Rapids, and AMD’s Genoa server systems.

For more detailed insights into Axiado’s TCU-powered solutions and the transformative impact of the Dynamic Thermal Management (DTM) solution on data center energy efficiency and operating costs, visit the website here.

Availability
Axiado’s AX3000 and AX2000 TCUs as well as OCP DC-SCM 2.0 Compliant Axiado SCM3002 and Axiado SCM3003 with DTM capability are available now for purchase.

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During a time in which data center growth is fueling an arms race for equipment, Nortek DCC’s U.S. manufacturing and supply chain redundancies de-risk the ramp-up, with more than 3M square feet of onshore manufacturing capacity, a specialized tiger team of application and hardware engineers who represent the most innovative and solutions-oriented talent in the business, and a world-class service organization that’s integrated into the customer experience starting the minute the order comes in.

With many customers using outdated or retrofitted HVAC equipment, Nortek DCC uniquely offers a data center-optimized portfolio with a range of air, liquid and hybrid cooling solutions and a track record of industry-specific innovation and reliability that goes back decades.

“We are at our best partnering with innovative companies to navigate their most urgent and complex challenges in mission-critical environments,” said Karin Overstreet, President, Nortek DCC. “We have one of the most comprehensive data cooling solutions offerings in the industry. Our products are best-in-class, reliable and efficient. Our service, quality and engineering teams are data center specialists and work together to benefit customers and their needs. There’s a reason our orders are up over 500% year over year: we deliver.”

Expanding Product Portfolio of Data Center Cooling Innovation
Nortek DCC (formerly a division of Nortek Air Solutions) has partnered with leading data center customers globally for over a decade to deliver a mix of liquid and air-cooled technology through a U.S.-based manufacturing supply chain and some of the industry’s best lead times. Building on that product and manufacturing excellence, Nortek DCC is expanding and updating its Coolant Distribution Unit (CDU) and Computer Room Air Handler (CRAH) product lines to meet the growing demand for flexible, modular and energy-efficient cooling operations in a variety of data center applications.

Learn more about the Nortek CDU Cooling Solutions product line, at the website here.

Learn more about the Nortek CRAH Cooling Solutions, at the website here.

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“The rapid advancement and adoption of AI are having a profound impact as companies scramble to migrate to more advanced AI-supported technology,” said Sam Tenorio III, president of Optimus Technology Group. “Our rebrand is a strategic decision to pivot from traditional Hardware, SaaS, and Networking services and move toward solutions that allow companies and organizations to embrace AI fully. Unlike other providers, we have the solid financial backing, talent, and relationships to unlock, accelerate, and optimize practical ways that companies and government institutions can effectively outsource their data center ownership with minimal impact on the power grid.”

Based in Austin, Texas, a core focus for Optimus Technology Group will be building and managing flexible colocation facilities with public and private cloud interconnects, with an additional focus on diverse power infrastructure and artificial intelligence. The company’s scalable data center solutions are designed to meet a company’s needs now and as they grow with evolving technology.

“Seamless Advanced Solutions is a genuine business success story, and this is a natural evolution of the business,” said Steven Frank, Head of Communications at Optimus Technology Group. “Optimus Technology Group better represents our goals and ability to accelerate the adoption of AI and data center ownership across the country. Our new focus uniquely positions our team to address the complexities of AI development for corporate, government, and private organizations. I’m confident that the Optimus Technology Group will have a profound impact on the AI and data center landscape and bring new opportunities for our clients across the Americas.”

Optimus Technology Group will also address the demand placed on the national power grid. The company has partnered with one of the largest private owners of U.S. power generation assets to address efficiency and reliability challenges better as the demand for energy accelerates. The company is positioned to be the industry’s premier company and offers a holistic approach to building, powering, and managing data centers nationwide.

“Our current clients won’t experience any downtime or disruption in service with our rebrand and new focus,” said Tenorio. “Our team will continue to deliver critical IT, networking, and security services that will keep their business running smoothly. In fact, our new focus will better prepare our customers to transition from outdated SaaS and networking solutions to more advanced AI-powered applications and data storage.”

More information on the Seamless Advanced Solutions rebrand can be found at the Optimus Technology Group here.

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Intel Showcases AI Architectural Advancements at Hot Chips 2024

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At Hot Chips 2024, Intel highlighted the extensive range and depth of its technologies, demonstrating advancements in AI across various use cases—from data centers, cloud, and networks to the edge and PCs. The presentation also featured the industry’s first fully integrated optical compute interconnect (OCI) chiplet for high-speed AI data processing. Additionally, Intel revealed new details about the Intel® Xeon® 6 SoC (code-named Granite Rapids-D), set for release in the first half of 2025.

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“Our acquisition of ZT Systems is the next major step in our long-term AI strategy to deliver leadership training and inferencing solutions that can be rapidly deployed at scale across cloud and enterprise customers,” said AMD Chair and CEO Dr. Lisa Su. “ZT adds world-class systems design and rack-scale solutions expertise that will significantly strengthen our data center AI systems and customer enablement capabilities. This acquisition also builds on the investments we have made to accelerate our AI hardware and software roadmaps. Combining our high-performance Instinct AI accelerator, EPYC CPU, and networking product portfolios with ZT Systems’ industry-leading data center systems expertise will enable AMD to deliver end-to-end data center AI infrastructure at scale with our ecosystem of OEM and ODM partners.”

AMD has agreed to acquire ZT Systems in a cash and stock transaction valued at $4.9 billion, inclusive of a contingent payment of up to $400 million based on certain post-closing milestones. AMD expects the transaction to be accretive on a non-GAAP basis by the end of 2025.

Headquartered in Secaucus, New Jersey, ZT Systems has more than 15 years of experience designing and deploying data center AI compute and storage infrastructure at scale for the largest global cloud companies. ZT Systems’ design, integration, manufacturing and deployment capabilities have made them one of the leading providers of AI training and inference infrastructure.

“We are excited to join AMD and together play an even larger role designing the AI infrastructure that is defining the future of computing,” said Frank Zhang, CEO of ZT Systems. “For almost 30 years we have evolved our business to become a leading provider of critical computing and storage infrastructure for the world’s largest cloud companies. AMD shares our vision for the important role our technology and our people play designing and building the computing infrastructure powering the largest data centers in the world.”

Following transaction close, ZT Systems will join the AMD Data Center Solutions Business Group. ZT CEO Frank Zhang will lead the manufacturing business and ZT President Doug Huang will lead the design and customer enablement teams, both reporting to AMD Executive Vice President and General Manager Forrest Norrod. AMD will seek a strategic partner to acquire ZT Systems’ industry-leading U.S.-based data center infrastructure manufacturing business.

The acquisition of ZT Systems marks the latest in a series of investments by AMD to significantly strengthen the company’s AI capabilities. In the last 12 months, in addition to increasing organic R&D activities, AMD has invested more than $1 billion to expand the AMD AI ecosystem and strengthen the company’s AI software capabilities.

Additional Transaction Details
The transaction has been unanimously approved by the AMD Board of Directors. The acquisition is currently expected to close in the first half of 2025, subject to certain regulatory approvals and other customary closing conditions.

To learn more about AMD’s data center AI systems, visit the website here.

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Flex’s CESS solutions are designed to balance peak power and protect the grid from intense power surges and line disturbances during AI training and inference activities taking place in modern data center environments. Musashi’s state-of-the-art HSCs are designed to provide high-reliability energy storage in many applications and are known for their power density, longevity, and reliability. The technology reduces equipment size, weight and total cost of ownership.

Key features of the CESS include:

• The ability tosupport and balance power supply systemsduring large power transients
• Efficient energy managementand the reduction of large power transients or spikes produced by AI workloads by alternately supplying and absorbing energy in its internal Hybrid Supercapacitors, which are supplied by Musashi
• A significantly longer lifespanthan current battery energy storage systems, with ability to provide multi-million charge/discharge cycles – essential for high-performance capacity and dependability needed in the data center
• A wide operating temperature and inherent safety through Musashi’s Hybrid SuperCapacitors, with cells able to operate in temperature ranges from minus 30 to over 70 degrees Celsius, plus UL 810A certification and completion of UL 9540A testing for thermal runaway at the cell level

“We are proud to lead the charge in powering the next generation of AI innovation alongside Flex to address the power challenges needed to unleash capacity for explosive data center growth,” said Frank DeLattre, President of Musashi Energy Solutions in North America. “Our partnership with Flex for its new CESS product will bring reliable, efficient and scalable power solutions to the market. Musashi Energy Solutions continues to invest heavily in future Hybrid SuperCapacitor cell development to meet the future power density demands in AI computing as well as the manufacturing capacity required for customers to meet the forecasted cell volume.”

“Our collaboration with Musashi is central to developing our innovative CESS solutions to sustainably support the complex power demands of AI data centers worldwide,” said Mattias Jansson, Vice President of Power Solutions at Flex. “Together with Musashi, our technology and innovation portfolio plans enable Flex to provide hyperscale operators with advanced energy storage systems that enable them to address long-term energy transitions. Our CESS solutions are another proof point of how Flex is enabling customers to maximize AI server cluster computing performance and unlock data center capacity as AI applications drive unprecedented growth.”

Flex is slated to begin production of its CESS in the first half of Calendar Year 2025, with commercial availability expected within one quarter of production start. To learn more about Flex CESS, visit the website here.

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365 Data Centers (“365”) announces the ongoing expansion of its partnership with Megaport.

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If a cluster of hyper scale DCs were to go offline, it could stop the US economy—and potentially global economy—in its tracks, much like the 9/11 World Trade Center attacks stopped air travel. Today, Integrated Data Center Management (IDCM) implementations prepare and build out redundant systems to maintain all functional operations, including risk management and mitigation. At the center of the IDCM is Operational Technology (OT) command and control data.

Data Center Security Risks

We often look at processing, cooling, connectivity, and access as primary DC concerns. In reality, electricity is the main chokepoint. The disruption or complete loss of, core infrastructure electrical power is the most critical DC failure. We already know that the the US’s critical infrastructure, which includes the electrical grid, is currently at risk.

Because of this, DCs have mitigated electric grid power source failures by building out massive on-site power generation facilities. Even with these mitigation efforts, what if the chillers/cooling systems lost power, then the standby power did not start causing transfer batteries to quickly drain out leaving no time for a controlled shut down? Almost immediately, the residual heat without cooling will reach temperatures capable of destroying racks of critical equipment.

The Impact of an Attack

We don’t have to go back far in time to see how such a DC catastrophic failure could happen. The Stuxnet computer work was focused on sabotaging the specific industrial control systems used in Iran’s nuclear enrichment facilities, particularly the Siemens Step7 PLCs. The threat actor leveraged a “blind spot” that resulted in a cyber-attack that was successful without any detection from the monitoring systems.

In this instance, none of the cyber security detection solutions were alerted because it did not come in from the Internet or injected by a thumb drive. It was delivered as part of a routine spare part replacement, which is basic maintenance.

With access to the intranet from an OT device, the worm quickly spread to other computing devices. Stuxnet was a sophisticated worm representing four zero day attacks with a checklist of activities. To achieve its goal, Stuxnet needed to understand the specific configurations and operational details of the PLCs and where to find the targeted Siemens Step7 PLCs.

Stuxnet started its reconnaissance by collecting specific information about the systems it infected. This information included details about the configuration and operation of the industrial control systems stored in unencrypted, active SQL databases. However, the primary goal was not to steal data, but to leverage the collected information (data) to learn and refine its sabotage operations.

Stuxnet’s primary operations were focused on manipulating the PLCs and the real-time data being fed to SCADA systems; it did interact with internal SQL databases. It accessed and modified/manipulated configuration data that indirectly affected operational databases by ensuring they logged falsified data. However, it did not target traditional IT databases for data theft or direct manipulation.

Evolving Threats to Data Centers

Stuxnet and its variants, Duqu and Flame, in addition to new threat variants including those based upon GenAI, pose a threat to IDCM software applications and their active, on-demand data. The majority of that data is stored in plaintext to support active operations.

The Mitre Att&ck map starts with reconnaissance whereby hackers, once in, search for data and possible defenses. Once past the defenses, plaintext SQL databases can be manipulated, stolen or invisibly controlled by remote threat actors.

Today’s most dangerous IDCM application threats are SQL injection and cross-site scripting. SQL injection tools enable hackers or worms to automate their attack processes and quickly exploit vulnerabilities. It’s called “SQL” injection because the adversary is trying to find a vulnerability in the application to directly talk to the SQL database, bypassing application safeguards.

Ending DB Attacks With Encryption

But, what if the IDCM application spoke to its critical data through an API which can be secured and monitored?

With new Searchable Encryption technology, users can perform computations on AES-256 encrypted data while the data remains fully encrypted. Solutions based on Searchable Symmetrical Encryption allow for database operations (create, read, update & delete) without needing to decrypt that data.

If the Iranian’s nuclear enrichment facilities SCADA systems had Searchable Encryption, the Stuxnet reconnaissance effort would have revealed no usable data and could have stopped the attack immediately. The entire intranet and its devices would have remained concealed behind encrypted data.

A Searchable Encryption solution aligned with the Federal Data Center Enhancement Act of 2023 use of technology requirements, “regularly assess the application portfolio of the covered agency and ensure that each at-risk legacy application is updated, replaced, or modernized, as appropriate, to take advantage of modern technologies”.

Today all data centers are at risk, vulnerable to IoT & OT data that is not secure. A Stuxnet-like worm or a skilled hacker will find many challenges in searching for data necessary to execute their attacks upon a system with Searchable Encryption. It’s time to ensure our data centers are secure-by-design since they are critical infrastructure with many attack vectors, motivated attackers, and most of the world’s critical data.

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