#data center optimization

[4seohelp]

10 Key Ways in Which Google Utilizes Data Science

Google relies on data science as it underpins the company’s ability to innovate, optimize, and provide valuable services. With an immense amount of user-generated data at its disposal, data science enables Google to enhance its core products like search, advertising, and recommendations, delivering a more personalized and efficient experience. It’s crucial for staying competitive, improving user…

[legarski]

Hybrid Small Modular Reactors (SMRs): Pioneering the Future of Energy and Connectivity

SolveForce is proud to announce the release of a groundbreaking new book, “Hybrid Small Modular Reactors (SMRs): From Design to Future Technologies,” co-authored by Ronald Joseph Legarski, Jr., President & CEO of SolveForce and Co-Founder of Adaptive Energy Systems. This publication stands at the convergence of next-generation nuclear energy, telecommunications infrastructure, and digital…

[chemicalmarketwatch-sp]

Why Liquid Cooling is on Every CTO’s Radar in 2025

As we reach the midpoint of 2025, the conversation around data center liquid cooling trends has shifted from speculative to strategic. For CTOs steering digital infrastructure, liquid cooling is no longer a futuristic concept—it’s a competitive necessity. Here’s why this technology is dominating boardroom agendas and shaping the next wave of data center innovation.

The Pressure: AI, Density, and Efficiency

The explosion of AI workloads, cloud computing, and high-frequency trading is pushing data centers to their thermal and operational limits. Traditional air cooling, once the backbone of server rooms, is struggling to keep up with the escalating power densities—especially as modern racks routinely exceed 30-60 kW, far beyond the 10-15 kW threshold where air cooling remains effective. As a result, CTOs are seeking scalable, future-proof solutions that can handle the heat—literally and figuratively.

Data Center Liquid Cooling Trends in 2025

1. Mainstream Market Momentum

The global data center liquid cooling market is projected to skyrocket from $4.68 billion in 2025 to $22.57 billion by 2034, with a CAGR of over 19%. Giants like Google, Microsoft, and Meta are not just adopting but actively standardizing liquid cooling in their hyperscale facilities, setting industry benchmarks and accelerating adoption across the sector.

2. Direct-to-Chip and Immersion Cooling Dominate

Two primary technologies are leading the charge:

Direct-to-Chip Cooling: Coolant circulates through plates attached directly to CPUs and GPUs, efficiently extracting heat at the source. This method is favored for its scalability and selective deployment on high-density racks

Immersion Cooling: Servers are submerged in non-conductive liquid, achieving up to 50% energy savings over air cooling and enabling unprecedented compute densities.

Both approaches are up to 1,000 times more effective at heat transfer than air, supporting the relentless growth of AI and machine learning workloads.

3. AI-Powered Cooling Optimization

Artificial intelligence is now integral to cooling strategy. AI-driven systems monitor temperature fluctuations and optimize cooling in real time, reducing energy waste and ensuring uptime for mission-critical applications.

4. Sustainability and Regulatory Pressures

With sustainability targets tightening and energy costs rising, liquid cooling’s superior efficiency is a major draw. It enables higher operating temperatures, reduces water and power consumption, and supports green IT initiatives—key considerations for CTOs facing regulatory scrutiny.

Challenges and Considerations

Despite the momentum, the transition isn’t without hurdles:

Integration Complexity: 47% of data center leaders cite integration as a barrier, while 41% are concerned about upfront costs.

Skill Gaps: Specialized training is required for installation and maintenance, though this is improving as the ecosystem matures.

Hybrid Approaches: Not all workloads require liquid cooling. Many facilities are adopting hybrid models, combining air and liquid systems to balance cost and performance.

The Strategic Payoff for CTOs

Why are data center liquid cooling trends so critical for CTOs in 2025?

Performance at Scale: Liquid cooling unlocks higher rack densities, supporting the next generation of AI and high-performance computing.

Long-Term Cost Savings: While initial investment is higher, operational expenses (OPEX) drop due to improved energy efficiency and reduced hardware failure rates.

Competitive Edge: Early adopters can maximize compute per square foot, reduce real estate costs, and meet sustainability mandates—key differentiators in a crowded market.

Download PDF Brochure :

In 2025, data center liquid cooling trends are not just a response to technical challenges—they’re a strategic lever for innovation, efficiency, and growth. CTOs who embrace this shift position their organizations to thrive amid rising computational demands and evolving sustainability standards. As liquid cooling moves from niche to norm, it’s clear: the future of data center infrastructure is flowing, not blowing.

[vivencyglobal]

Comprehensive IT Infrastructure Solutions | Vivency Technology LLC

Vivency Technology LLC offers expert IT infrastructure solutions to help businesses build, manage, and optimize their IT environments. Our services include network solutions, data center solutions, cybersecurity, IT consulting, and managed services. Partner with us for reliable and scalable IT infrastructure tailored to your needs.

https://www.vivencyglobal.com/infrastructure-solutions/

[precallai]

Automate, Optimize, and Succeed AI in Call Centers

Introduction

The call center industry has undergone a significant transformation with the integration of artificial intelligence (AI). Businesses worldwide are adopting AI-powered call center solutions to enhance customer service, improve efficiency, and reduce operational costs. AI-driven automation helps optimize workflows and ensures superior customer experiences. This article explores how AI is revolutionizing call centers, focusing on automation, optimization, and overall business success.

The Rise of AI in Call Centers

AI technology is reshaping the traditional call center model by enabling automated customer interactions, predictive analytics, and enhanced customer service strategies. Key advancements such as Natural Language Processing (NLP), machine learning, and sentiment analysis have led to the creation of intelligent virtual assistants and chatbots that streamline communication between businesses and customers.

Key Benefits of AI in Call Centers

Automation of Repetitive Tasks

AI-driven chatbots and virtual assistants handle routine customer inquiries, freeing up human agents to focus on more complex issues.

AI automates call routing, ensuring customers reach the right agent or department quickly.

Improved Customer Experience

AI-powered systems provide personalized responses based on customer history and preferences.

AI reduces wait times and improves first-call resolution rates, leading to higher customer satisfaction.

Optimized Workforce Management

AI-based analytics predict call volumes and optimize staffing schedules to prevent overstaffing or understaffing.

AI assists in real-time monitoring and coaching of agents, improving overall productivity.

Enhanced Data Analysis and Insights

AI tools analyze customer interactions to identify trends, allowing businesses to improve services and make data-driven decisions.

Sentiment analysis helps understand customer emotions and tailor responses accordingly.

Cost Efficiency and Scalability

AI reduces the need for large call center teams, cutting operational costs.

Businesses can scale AI-powered solutions effortlessly without hiring additional staff.

AI-Powered Call Center Technologies

Chatbots and Virtual Assistants

These AI-driven tools handle basic inquiries, appointment scheduling, FAQs, and troubleshooting.

They operate 24/7, ensuring customers receive support even outside business hours.

Speech Recognition and NLP

NLP enables AI to understand and respond to human language naturally.

Speech recognition tools convert spoken words into text, enhancing agent productivity and improving accessibility.

Sentiment Analysis

AI detects customer emotions in real time, helping agents adjust their approach accordingly.

Businesses can use sentiment analysis to track customer satisfaction and identify areas for improvement.

Predictive Analytics and Call Routing

AI anticipates customer needs based on past interactions, directing them to the most suitable agent.

Predictive analytics help businesses forecast trends and plan proactive customer engagement strategies.

AI-Powered Quality Monitoring

AI analyzes call recordings and agent interactions to assess performance and compliance.

Businesses can provide data-driven training to improve agent efficiency and customer service.

Challenges and Considerations in AI Implementation

While AI offers numerous benefits, businesses must address several challenges to ensure successful implementation:

Data Privacy and Security

AI systems process vast amounts of customer data, making security a top priority.

Businesses must comply with regulations such as GDPR and CCPA to protect customer information.

Human Touch vs. Automation

Over-reliance on AI can make interactions feel impersonal.

A hybrid approach, where AI supports human agents rather than replacing them, ensures a balance between efficiency and empathy.

Implementation Costs

AI integration requires an initial investment in technology and training.

However, long-term benefits such as cost savings and increased productivity outweigh the initial expenses.

Continuous Learning and Improvement

AI models require regular updates and training to adapt to changing customer needs and market trends.

Businesses must monitor AI performance and refine algorithms to maintain efficiency.

Future of AI in Call Centers

The future of AI in call centers is promising, with continued advancements in automation and machine learning. Here are some trends to watch for:

AI-Driven Omnichannel Support

AI will integrate seamlessly across multiple communication channels, including voice, chat, email, and social media.

Hyper-Personalization

AI will use real-time data to deliver highly personalized customer interactions, improving engagement and satisfaction.

Autonomous Call Centers

AI-powered solutions may lead to fully automated call centers with minimal human intervention.

Enhanced AI and Human Collaboration

AI will complement human agents by providing real-time insights and recommendations, improving decision-making and service quality.

Conclusion

AI is transforming call centers by automating processes, optimizing operations, and driving business success. Companies that embrace AI-powered solutions can enhance customer service, increase efficiency, and gain a competitive edge in the market. However, successful implementation requires balancing automation with the human touch to maintain meaningful customer relationships. By continuously refining AI strategies, businesses can unlock new opportunities for growth and innovation in the call center industry.

[lordsmerchantco]

How to Be Listed on Google News Search: A Comprehensive Guide

Table of Contents Introduction Understanding Google News Search Eligibility Criteria for Google News Inclusion How to Apply for Google News Indexing Optimizing Your Website for Google News The Role of AI in Google News Inclusion Featured Snippets and AEO Optimization Geo-Targeting for Google News Best Practices for Content Creation Case Studies: Success Stories Customer Reviews and…

[radiantindia]

Cisco Catalyst 3000 Series: High-Performance Switching Solutions

Learn about Cisco Catalyst 3000 series switches, their advanced features, pricing insights, deployment scenarios, and where to buy in India through Radiant Info Solutions.

[reasonsforhope]

"Calling it “a fridge to bridge the world,” the Thermavault can use different combinations of salts to keep the contents at temperatures just above freezing or below it. Some vaccines require regular kitchen fridge temps, while others, or even transplant organs, need to be kept below freezing, meaning this versatility is a big advantage for the product’s overall market demand.

Dhruv Chaudhary, Mithran Ladhania, and Mridul Jain are all children of physicians or medical field workers in the [city] of Indore. Seeing how difficult it was to keep COVID-19 vaccines viable en route to countryside villages hours outside city centers in tropical heat, they wanted to create a better, portable solution to keeping medical supplies cool.

Because salt molecules dissolve in water, the charged ions that make up the salt molecules break apart. However, this separation requires energy, which is taken in the form of heat from the water, cooling it down.

Though the teen team knew this, it remained a challenge to find which kind of salt would have the optimal set of characteristics. Though sodium chloride—our refined table salt—is what we think of when we hear the word “salt,” there are well over one-hundred different chemical compounds that classify as salt.

“While we did scour through the entire internet to find the best salt possible, we kind of just ended up back to our ninth-grade science textbook,” Chaudhary told Business Insider.

Indeed, the professors at the lab in the Indian Institutes of Technology where they were testing Thermavault’s prototype were experimenting with two different salts which ended up being the best available options, a discovery made after the three teens tested another 20, none of which proved viable.

These were barium hydroxide octahydrate and ammonium chloride. The ammonium chloride alone, when dissolved, cooled the water to between 2 and 6 degrees Celsius (about 35 to 43 degrees Fahrenheit) perfect for many vaccines, while a dash of barium hydroxide octahydrate dropped that temperature to below freezing.

“We have been able to keep the vaccines inside the Thermavault for almost 10 to 12 hours,” Dr. Pritesh Vyas, an orthopedic surgeon who tested the device at V One hospital in Indore, said in a video on the Thermavault website.

Designing a prototype, the teens have already tested it in local hospitals, and are in the process of assembling another 200 for the purpose of testing them in 120 hospitals around Indore to produce the best possible scope of use and utility data for a product launch.

Their ingenuity and imagination won them the 2025 Earth Prize, which came with a $12,500 reward needed for this mass testing phase."

-via Good News Network, April 22, 2025

[nasa]

Hubble Space Telescope: Exploring the Cosmos and Making Life Better on Earth

In the 35 years since its launch aboard space shuttle Discovery, the Hubble Space Telescope has provided stunning views of galaxies millions of light years away. But the leaps in technology needed for its look into space has also provided benefits on the ground. Here are some of the technologies developed for Hubble that have improved life on Earth.

Image Sensors Find Cancer

Charge-coupled device (CCD) sensors have been used in digital photography for decades, but Hubble’s Space Telescope Imaging Spectrograph required a far more sensitive CCD. This development resulted in improved image sensors for mammogram machines, helping doctors find and treat breast cancer.

Laser Vision Gives Insights

In preparation for a repair mission to fix Hubble’s misshapen mirror, Goddard Space Flight Center required a way to accurately measure replacement parts. This resulted in a tool to detect mirror defects, which has since been used to develop a commercial 3D imaging system and a package detection device now used by all major shipping companies.

Optimized Hospital Scheduling

A computer scientist who helped design software for scheduling Hubble’s observations adapted it to assist with scheduling medical procedures. This software helps hospitals optimize constantly changing schedules for medical imaging and keep the high pace of emergency rooms going.

Optical Filters Match Wavelengths and Paint Swatches

For Hubble’s main cameras to capture high-quality images of stars and galaxies, each of its filters had to block all but a specific range of wavelengths of light. The filters needed to capture the best data possible but also fit on one optical element. A company contracted to construct these filters used its experience on this project to create filters used in paint-matching devices for hardware stores, with multiple wavelengths evaluated by a single lens.

Make sure to follow us on Tumblr for your regular dose of space!

[govindhtech]

Tech Breakdown: What Is a SuperNIC? Get the Inside Scoop!

The most recent development in the rapidly evolving digital realm is generative AI. A relatively new phrase, SuperNIC, is one of the revolutionary inventions that makes it feasible.

Describe a SuperNIC

On order to accelerate hyperscale AI workloads on Ethernet-based clouds, a new family of network accelerators called SuperNIC was created. With remote direct memory access (RDMA) over converged Ethernet (RoCE) technology, it offers extremely rapid network connectivity for GPU-to-GPU communication, with throughputs of up to 400Gb/s.

SuperNICs incorporate the following special qualities:

Ensuring that data packets are received and processed in the same sequence as they were originally delivered through high-speed packet reordering. This keeps the data flow’s sequential integrity intact.

In order to regulate and prevent congestion in AI networks, advanced congestion management uses network-aware algorithms and real-time telemetry data.

In AI cloud data centers, programmable computation on the input/output (I/O) channel facilitates network architecture adaptation and extension.

Low-profile, power-efficient architecture that effectively handles AI workloads under power-constrained budgets.

Optimization for full-stack AI, encompassing system software, communication libraries, application frameworks, networking, computing, and storage.

Recently, NVIDIA revealed the first SuperNIC in the world designed specifically for AI computing, built on the BlueField-3 networking architecture. It is a component of the NVIDIA Spectrum-X platform, which allows for smooth integration with the Ethernet switch system Spectrum-4.

The NVIDIA Spectrum-4 switch system and BlueField-3 SuperNIC work together to provide an accelerated computing fabric that is optimized for AI applications. Spectrum-X outperforms conventional Ethernet settings by continuously delivering high levels of network efficiency.

Yael Shenhav, vice president of DPU and NIC products at NVIDIA, stated, “In a world where AI is driving the next wave of technological innovation, the BlueField-3 SuperNIC is a vital cog in the machinery.” “SuperNICs are essential components for enabling the future of AI computing because they guarantee that your AI workloads are executed with efficiency and speed.”

The Changing Environment of Networking and AI

Large language models and generative AI are causing a seismic change in the area of artificial intelligence. These potent technologies have opened up new avenues and made it possible for computers to perform new functions.

GPU-accelerated computing plays a critical role in the development of AI by processing massive amounts of data, training huge AI models, and enabling real-time inference. While this increased computing capacity has created opportunities, Ethernet cloud networks have also been put to the test.

The internet’s foundational technology, traditional Ethernet, was designed to link loosely connected applications and provide wide compatibility. The complex computational requirements of contemporary AI workloads, which include quickly transferring large amounts of data, closely linked parallel processing, and unusual communication patterns all of which call for optimal network connectivity were not intended for it.

Basic network interface cards (NICs) were created with interoperability, universal data transfer, and general-purpose computing in mind. They were never intended to handle the special difficulties brought on by the high processing demands of AI applications.

The necessary characteristics and capabilities for effective data transmission, low latency, and the predictable performance required for AI activities are absent from standard NICs. In contrast, SuperNICs are designed specifically for contemporary AI workloads.

Benefits of SuperNICs in AI Computing Environments

Data processing units (DPUs) are capable of high throughput, low latency network connectivity, and many other sophisticated characteristics. DPUs have become more and more common in the field of cloud computing since its launch in 2020, mostly because of their ability to separate, speed up, and offload computation from data center hardware.

SuperNICs and DPUs both have many characteristics and functions in common, however SuperNICs are specially designed to speed up networks for artificial intelligence.

The performance of distributed AI training and inference communication flows is highly dependent on the availability of network capacity. Known for their elegant designs, SuperNICs scale better than DPUs and may provide an astounding 400Gb/s of network bandwidth per GPU.

When GPUs and SuperNICs are matched 1:1 in a system, AI workload efficiency may be greatly increased, resulting in higher productivity and better business outcomes.

SuperNICs are only intended to speed up networking for cloud computing with artificial intelligence. As a result, it uses less processing power than a DPU, which needs a lot of processing power to offload programs from a host CPU.

Less power usage results from the decreased computation needs, which is especially important in systems with up to eight SuperNICs.

One of the SuperNIC’s other unique selling points is its specialized AI networking capabilities. It provides optimal congestion control, adaptive routing, and out-of-order packet handling when tightly connected with an AI-optimized NVIDIA Spectrum-4 switch. Ethernet AI cloud settings are accelerated by these cutting-edge technologies.

Transforming cloud computing with AI

The NVIDIA BlueField-3 SuperNIC is essential for AI-ready infrastructure because of its many advantages.

Maximum efficiency for AI workloads: The BlueField-3 SuperNIC is perfect for AI workloads since it was designed specifically for network-intensive, massively parallel computing. It guarantees bottleneck-free, efficient operation of AI activities.

Performance that is consistent and predictable: The BlueField-3 SuperNIC makes sure that each job and tenant in multi-tenant data centers, where many jobs are executed concurrently, is isolated, predictable, and unaffected by other network operations.

Secure multi-tenant cloud infrastructure: Data centers that handle sensitive data place a high premium on security. High security levels are maintained by the BlueField-3 SuperNIC, allowing different tenants to cohabit with separate data and processing.

Broad network infrastructure: The BlueField-3 SuperNIC is very versatile and can be easily adjusted to meet a wide range of different network infrastructure requirements.

Wide compatibility with server manufacturers: The BlueField-3 SuperNIC integrates easily with the majority of enterprise-class servers without using an excessive amount of power in data centers.

[pdcloudex21]

Mastering Virtualization: Get Started with Workstation ESXi at ProLEAP Academy

In the ever-evolving landscape of IT and technology, the need for efficient and flexible solutions is paramount. Virtualization is one such revolutionary technology that has transformed the way we manage and deploy resources. VMware Workstation ESXi, one of the most prominent virtualization platforms, has gained immense popularity for its capabilities in creating, managing, and optimising virtual environments. At ProLEAP Academy, we understand the significance of staying ahead in this fast-paced industry, and that’s why we offer a comprehensive course titled “Getting Started with Virtualization-Workstation ESXi.” In this article, we will explore the benefits of virtualization and how ProLEAP Academy can shape your expertise in this field.

[vertagedialer]

[virtualizationhowto]

RAID 5 vs RAID 6: Which one is the best?

RAID 5 vs RAID 6: Which one is the best? #homelab #RAID5vsRAID6Comparison #RAIDLevelsExplained #DataProtectionWithRAID #OptimalRAIDForSSDs #UnderstandingParityData #RAIDDataRecovery #ChoosingRAIDLevel #RAIDForBusinessServers #RAIDForDataCenters

Using a single “hard drive” is bad when it comes to the availability of your data. If you lose that single hard drive and have no backup, you have no means to recover it. Combining multiple disks forms a “raid array” to achieve specific benefits, such as resiliency against failures. RAID, or Redundant Array of Independent Disks, is designed to increase storage performance and data security,…

[guardiantech12]

Secure and Scalable Cloud Infrastructure Management Strategies

Cloud infrastructure management must be taken seriously by contemporary IT operations. It includes the management, inspection, and optimization of resources in cloud-based contexts including data centers and virtualized infrastructure. By managing cloud infrastructure well, businesses may increase their productivity, scalability, and cost-effectiveness.

One advantage of cloud infrastructure management is that: Cloud infrastructure management offers a number of significant benefits for businesses, including: Flexibility: Due to the fast provisioning and de-provisioning of resources offered by cloud infrastructure, businesses can scale their operations in response to demand. Scalability: With cloud infrastructure management, organizations can easily scale their resources up or down to ensure maximum performance and cost-effectiveness. Cost-cutting: Effective cloud infrastructure management enables businesses to utilize resources more effectively, reducing costs where possible and maximizing return on investment. Reliability: Cloud infrastructure management capabilities that offer high availability and data security include built-in redundancy and disaster recovery. Flexibility: Due to the dynamic nature of cloud infrastructure, organizations may quickly adapt to changing consumer needs and market conditions.

The best practices for managing cloud infrastructure: When managing cloud infrastructure, the following best practices should be considered: Regular Monitoring: Keep an eye on the operation and condition of your cloud infrastructure to identify potential issues and optimize resource allocation. Resource Optimisation: Use strategies like resource tagging, load balancing, and auto-scaling to optimize resource allocation to ensure efficient use and cost savings. Automation: To hasten the deployment, configuration, and management of cloud resources, use infrastructure-as-code (IaC) strategies and automation tools. Disaster Recovery: To secure crucial data and guarantee company continuity in the event of failures, implement reliable backup and disaster recovery procedures. Compliance and Security: Adhere to security best practices recommended by the industry, such as access control, data encryption, and frequent vulnerability assessments. Up-to-date documentation of your cloud infrastructure's configurations, dependencies, and operating processes should be kept.

Cost Optimization for Cloud Infrastructure: Careful planning and execution are required for cost optimization for cloud infrastructure. Do the following: Analyze the use of resources: Locate resources that are not being used, and then alter their provisioning to take into account the demand that has been experienced. To automatically adjust resource capacity in accordance with workload trends, use auto-scaling features. Utilize Reserved Instances: Take use of the reserved instances or savings programs offered by cloud service providers to save costs for long-term resource utilization. Optimize Storage: Identify your storage requirements and choose the appropriate storage tiers to reduce costs. Utilize Serverless Computing: Consider serverless computing options to pay for computing resources only when they are actually utilized.

Cloud Infrastructure Management Security: Security must be ensured in cloud infrastructure management in order to protect sensitive data and maintain compliance. Do the following: Implement Access Controls: Establish granular access controls and implement trustworthy authentication methods to prevent unauthorized access. Data encryption: To encrypt data both at rest and while it is being transported, use the encryption methods and protocols recommended by your cloud service provider. Regular Vulnerability Assessments: To identify and address security weaknesses, do routine penetration testing and vulnerability scanning. Creating an incident response: The plan will help you respond to security incidents or breaches effectively and reduce their impact. Security audits and compliance: Constantly verify that your cloud infrastructure conforms with any security standards and laws that may be relevant.

KNOW MORE

[vivencyglobal]

Reliable IT Infrastructure Solutions for Businesses

Vivency Technology LLC specializes in providing cutting-edge IT infrastructure solutions tailored to meet the diverse needs of businesses and organizations. Our services ensure seamless operations, enhanced security, and optimal performance for your IT environment.

We offer a comprehensive range of IT infrastructure services, including: ✅ Network Solutions – Reliable and scalable networking for seamless connectivity. ✅ Data Center Solutions – Advanced data storage, management, and security solutions. ✅ Cybersecurity Solutions – Protect your business with robust security measures. ✅ IT Consulting & Managed Services – Expert guidance and support for IT optimization.

Enhance your IT infrastructure with Vivency Technology LLC. Contact us today for customized solutions!