#aiaccelerator

[govindhtech]

Genio 510: Redefining the Future of Smart Retail Experiences

Genio IoT Platform by MediaTek

Genio 510

Manufacturers of consumer, business, and industrial devices can benefit from MediaTek Genio IoT Platform’s innovation, quicker market access, and more than a decade of longevity. A range of IoT chipsets called MediaTek Genio IoT is designed to enable and lead the way for innovative gadgets. to cooperation and support from conception to design and production, MediaTek guarantees success. MediaTek can pivot, scale, and adjust to needs thanks to their global network of reliable distributors and business partners.

Genio 510 features

Excellent work

Broad range of third-party modules and power-efficient, high-performing IoT SoCs

AI-driven sophisticated multimedia AI accelerators and cores that improve peripheral intelligent autonomous capabilities

Interaction

Sub-6GHz 5G technologies and Wi-Fi protocols for consumer, business, and industrial use

Both powerful and energy-efficient

Adaptable, quick interfaces

Global 5G modem supported by carriers

Superior assistance

From idea to design to manufacture, MediaTek works with clients, sharing experience and offering thorough documentation, in-depth training, and reliable developer tools.

Safety

IoT SoC with high security and intelligent modules to create goods

Several applications on one common platform

Developing industry, commercial, and enterprise IoT applications on a single platform that works with all SoCs can save development costs and accelerate time to market.

MediaTek Genio 510

Smart retail, industrial, factory automation, and many more Internet of things applications are powered by MediaTek’s Genio 510. Leading manufacturer of fabless semiconductors worldwide, MediaTek will be present at Embedded World 2024, which takes place in Nuremberg this week, along with a number of other firms. Their most recent IoT innovations are on display at the event, and They’ll be talking about how these MediaTek-powered products help a variety of market sectors.

They will be showcasing the recently released MediaTek Genio 510 SoC in one of their demos. The Genio 510 will offer high-efficiency solutions in AI performance, CPU and graphics, 4K display, rich input/output, and 5G and Wi-Fi 6 connection for popular IoT applications. With the Genio 510 and Genio 700 chips being pin-compatible, product developers may now better segment and diversify their designs for different markets without having to pay for a redesign.

Numerous applications, such as digital menus and table service displays, kiosks, smart home displays, point of sale (PoS) devices, and various advertising and public domain HMI applications, are best suited for the MediaTek Genio 510. Industrial HMI covers ruggedized tablets for smart agriculture, healthcare, EV charging infrastructure, factory automation, transportation, warehousing, and logistics. It also includes ruggedized tablets for commercial and industrial vehicles.

The fully integrated, extensive feature set of Genio 510 makes such diversity possible:

Support for two displays, such as an FHD and 4K display

Modern visual quality support for two cameras built on MediaTek’s tried-and-true technologies

For a wide range of computer vision applications, such as facial recognition, object/people identification, collision warning, driver monitoring, gesture and posture detection, and image segmentation, a powerful multi-core AI processor with a dedicated visual processing engine

Rich input/output for peripherals, such as network connectivity, manufacturing equipment, scanners, card readers, and sensors

4K encoding engine (camera recording) and 4K video decoding (multimedia playback for advertising)

Exceptionally power-efficient 6nm SoC

Ready for MediaTek NeuroPilot AI SDK and multitasking OS (time to market accelerated by familiar development environment)

Support for fanless design and industrial grade temperature operation (-40 to 105C)

10-year supply guarantee (one-stop shop supported by a top semiconductor manufacturer in the world)

To what extent does it surpass the alternatives?

The Genio 510 uses more than 50% less power and provides over 250% more CPU performance than the direct alternative!

The MediaTek Genio 510 is an effective IoT platform designed for Edge AI, interactive retail, smart homes, industrial, and commercial uses. It offers multitasking OS, sophisticated multimedia, extremely rapid edge processing, and more. intended for goods that work well with off-grid power systems and fanless enclosure designs.

EVK MediaTek Genio 510

The highly competent Genio 510 (MT8370) edge-AI IoT platform for smart homes, interactive retail, industrial, and commercial applications comes with an evaluation kit called the MediaTek Genio 510 EVK. It offers many multitasking operating systems, a variety of networking choices, very responsive edge processing, and sophisticated multimedia capabilities.

SoC: MediaTek Genio 510

This Edge AI platform, which was created utilising an incredibly efficient 6nm technology, combines an integrated APU (AI processor), DSP, Arm Mali-G57 MC2 GPU, and six cores (2×2.2 GHz Arm Cortex-A78& 4×2.0 GHz Arm Cortex-A55) into a single chip. Video recorded with attached cameras can be converted at up to Full HD resolution while using the least amount of space possible thanks to a HEVC encoding acceleration engine.

FAQS

What is the MediaTek Genio 510?

A chipset intended for a broad spectrum of Internet of Things (IoT) applications is the Genio 510.

What kind of IoT applications is the Genio 510 suited for?

Because of its adaptability, the Genio 510 may be utilised in a wide range of applications, including smart homes, healthcare, transportation, and agriculture, as well as industrial automation (rugged tablets, manufacturing machinery, and point-of-sale systems).

What are the benefits of using the Genio 510?

Rich input/output choices, powerful CPU and graphics processing, compatibility for 4K screens, high-efficiency AI performance, and networking capabilities like 5G and Wi-Fi 6 are all included with the Genio 510.

Read more on Govindhtech.com

[edgythoughts]

How Does AI Generate Human-Like Voices? 2025

How Does AI Generate Human-Like Voices? 2025

Artificial Intelligence (AI) has made incredible advancements in speech synthesis. AI-generated voices now sound almost indistinguishable from real human speech. But how does this technology work? What makes AI-generated voices so natural, expressive, and lifelike? In this deep dive, we’ll explore: ✔ The core technologies behind AI voice generation. ✔ How AI learns to mimic human speech patterns. ✔ Applications and real-world use cases. ✔ The future of AI-generated voices in 2025 and beyond.

Understanding AI Voice Generation

At its core, AI-generated speech relies on deep learning models that analyze human speech and generate realistic voices. These models use vast amounts of data, phonetics, and linguistic patterns to synthesize speech that mimics the tone, emotion, and natural flow of a real human voice. 1. Text-to-Speech (TTS) Systems Traditional text-to-speech (TTS) systems used rule-based models. However, these sounded robotic and unnatural because they couldn't capture the rhythm, tone, and emotion of real human speech. Modern AI-powered TTS uses deep learning and neural networks to generate much more human-like voices. These advanced models process: ✔ Phonetics (how words sound). ✔ Prosody (intonation, rhythm, stress). ✔ Contextual awareness (understanding sentence structure). 💡 Example: AI can now pause, emphasize words, and mimic real human speech patterns instead of sounding monotone.

2. Deep Learning & Neural Networks AI speech synthesis is driven by deep neural networks (DNNs), which work like a human brain. These networks analyze thousands of real human voice recordings and learn: ✔ How humans naturally pronounce words. ✔ The pitch, tone, and emphasis of speech. ✔ How emotions impact voice (anger, happiness, sadness, etc.). Some of the most powerful deep learning models include: WaveNet (Google DeepMind) Developed by Google DeepMind, WaveNet uses a deep neural network that analyzes raw audio waveforms. It produces natural-sounding speech with realistic tones, inflections, and even breathing patterns. Tacotron & Tacotron 2 Tacotron models, developed by Google AI, focus on improving: ✔ Natural pronunciation of words. ✔ Pauses and speech flow to match human speech patterns. ✔ Voice modulation for realistic expression. 3. Voice Cloning & Deepfake Voices One of the biggest breakthroughs in AI voice synthesis is voice cloning. This technology allows AI to: ✔ Copy a person’s voice with just a few minutes of recorded audio. ✔ Generate speech in that person’s exact tone and style. ✔ Mimic emotions, pitch, and speech variations. 💡 Example: If an AI listens to 5 minutes of Elon Musk’s voice, it can generate full speeches in his exact tone and speech style. This is called deepfake voice technology. 🔴 Ethical Concern: This technology can be used for fraud and misinformation, like creating fake political speeches or scam calls that sound real.

How AI Learns to Speak Like Humans

AI voice synthesis follows three major steps: Step 1: Data Collection & Training AI systems collect millions of human speech recordings to learn: ✔ Pronunciation of words in different accents. ✔ Pitch, tone, and emotional expression. ✔ How people emphasize words naturally. 💡 Example: AI listens to how people say "I love this product!" and learns how different emotions change the way it sounds. Step 2: Neural Network Processing AI breaks down voice data into small sound units (phonemes) and reconstructs them into natural-sounding speech. It then: ✔ Creates realistic sentence structures. ✔ Adds human-like pauses, stresses, and tonal changes. ✔ Removes robotic or unnatural elements. Step 3: Speech Synthesis Output After processing, AI generates speech that sounds fluid, emotional, and human-like. Modern AI can now: ✔ Imitate accents and speech styles. ✔ Adjust pitch and tone in real time. ✔ Change emotional expressions (happy, sad, excited).

Real-World Applications of AI-Generated Voices

AI-generated voices are transforming multiple industries: 1. Voice Assistants (Alexa, Siri, Google Assistant) AI voice assistants now sound more natural, conversational, and human-like than ever before. They can: ✔ Understand context and respond naturally. ✔ Adjust tone based on conversation flow. ✔ Speak in different accents and languages. 2. Audiobooks & Voiceovers Instead of hiring voice actors, AI-generated voices can now: ✔ Narrate entire audiobooks in human-like voices. ✔ Adjust voice tone based on story emotion. ✔ Sound different for each character in a book. 💡 Example: AI-generated voices are now used for animated movies, YouTube videos, and podcasts. 3. Customer Service & Call Centers Companies use AI voices for automated customer support, reducing costs and improving efficiency. AI voice systems: ✔ Respond naturally to customer questions. ✔ Understand emotional tone in conversations. ✔ Adjust voice tone based on urgency. 💡 Example: Banks use AI voice bots for automated fraud detection calls. 4. AI-Generated Speech for Disabled Individuals AI voice synthesis is helping people who have lost their voice due to medical conditions. AI-generated speech allows them to: ✔ Type text and have AI speak for them. ✔ Use their own cloned voice for communication. ✔ Improve accessibility for those with speech impairments. 💡 Example: AI helped Stephen Hawking communicate using a computer-generated voice.

The Future of AI-Generated Voices in 2025 & Beyond

AI-generated speech is evolving fast. Here’s what’s next: 1. Fully Realistic Conversational AI By 2025, AI voices will sound completely human, making robots and AI assistants indistinguishable from real humans. 2. Real-Time AI Voice Translation AI will soon allow real-time speech translation in different languages while keeping the original speaker’s voice and tone. 💡 Example: A Japanese speaker’s voice can be translated into English, but still sound like their real voice. 3. AI Voice in the Metaverse & Virtual Worlds AI-generated voices will power realistic avatars in virtual worlds, enabling: ✔ AI-powered characters with human-like speech. ✔ AI-generated narrators in VR experiences. ✔ Fully voiced AI NPCs in video games.

Final Thoughts

AI-generated voices have reached an incredible level of realism. From voice assistants to deepfake voice cloning, AI is revolutionizing how we interact with technology. However, ethical concerns remain. With the ability to clone voices and create deepfake speech, AI-generated voices must be used responsibly. In the future, AI will likely replace human voice actors, power next-gen customer service, and enable lifelike AI assistants. But one thing is clear—AI-generated voices are becoming indistinguishable from real humans. Read Our Past Blog: What If We Could Live Inside a Black Hole? 2025For more information, check this resource.

How Does AI Generate Human-Like Voices? 2025 - Everything You Need to Know

Understanding ai in DepthRelated Posts- How Does AI Generate Human-Like Voices? 2025 - How Does AI Generate Human-Like Voices? 2025 - How Does AI Generate Human-Like Voices? 2025 - How Does AI Generate Human-Like Voices? 2025 Read the full article

[rtc-tek]

Our AI-based performance testing accelerator automates the scripting process reducing the scripting time to 24 hours only. This brings a drastic improvement from the conventional weeks-long scripting process. Unlike the manual scripting standards, our accelerator rapidly addresses diverse testing scenarios within minutes, offering unmatched efficiency. This not only accelerates the testing process but also ensures adaptability to various scenarios.

Talk to our performance experts at https://rtctek.com/contact-us/. Visit https://rtctek.com/performance-testing-services to learn more about our services.

[dailyplanet-loislane]

Battling Bakeries in an AI Arms Race! Inside the High-Tech Doughnut Feud

[forlinx]

Announcing the new Forlinx FET-MX95xx-C SoM! Based on the NXP i.MX95 series flagship processor, it integrates 6 Cortex-A55 cores, Cortex-M7 and Cortex-M33 cores. With a powerful 2TOPS NPU, it offers excellent AI computing capability, ideal for edge computing, smart cockpits, Industry 4.0 and more.

The FET-MX95xx-C features rich interfaces including 5x CAN-FD, 1x 10GbE, 2x GbE, 2x PCIe Gen3, and an embedded ISP supporting 4K@30fps video capture with powerful GPU acceleration. It also has strong safety features compliant with ASIL-B and SIL-2 standards.

Want to learn more? Check out the Forlinx website

Let's explore Forlinx's latest technology together and power up your products!

[toptrends111]

Artificial Intelligence (AI) Updates

"Top Trends LLC (DBA ""Top Trends"") is a dynamic and information-rich web platform that empowers its readers with a broad spectrum of knowledge, insights, and data-driven trends. Our professional writers, industry experts, and enthusiasts dive deep into Artificial Intelligence, Finance, Startups, SEO and Backlinks.

[groovy-computers]

🚀 Ready to revolutionize AI acceleration? UALink 1.0 is here to redefine connectivity! 🌐 Discover how UALink empowers companies like AMD, Broadcom, and Intel to rival Nvidia's NVLink by leveraging an open, industry-standard technology. The UALink 1.0 spec provides a high-speed, low-latency interconnect, supporting up to 1,024 GPUs with a staggering 200 GT/s bandwidth per processor. It's a game-changer for AI and HPC, promising a competitive edge through scalability and cost-effectiveness. The UALink Consortium's dedication to an open ecosystem ensures a future where diverse AI solutions can thrive. As more companies adopt this innovative technology, AI applications will skyrocket in performance and accessibility. Think your data center is ready for UALink transformation? 🤔 Tell us how you envision UALink changing the game in AI acceleration. Comment below! ⬇️ #UALink #AIAcceleration #HPC #TechnologyRevolution #GameChanger #Nvidia #Innovation #TechUpdates #DataCenters #GroovyComputers 🌟

[gis56]

GPU-as-a-Service = Cloud Power Level: OVER 9000! ⚙️☁️ From $5.6B → $28.4B by 2034 #GPUaaS #NextGenComputing

GPU as a Service (GPUaaS) is revolutionizing computing by providing scalable, high-performance GPU resources through the cloud. This model enables businesses, developers, and researchers to access powerful graphics processing units without investing in expensive hardware. From AI model training and deep learning to 3D rendering, gaming, and video processing, GPUaaS delivers unmatched speed and efficiency. 

To Request Sample Report : https://www.globalinsightservices.com/request-sample/?id=GIS24347 &utm_source=SnehaPatil&utm_medium=Article

Its flexibility allows users to scale resources based on workload demands, making it ideal for startups, enterprises, and institutions pursuing innovation. With seamless integration, global access, and pay-as-you-go pricing, GPUaaS fuels faster development cycles and reduces time to market. As demand for compute-intensive tasks grows across industries like healthcare, automotive, fintech, and entertainment, GPUaaS is set to be the cornerstone of next-gen digital infrastructure.

#gpuservice #gpuaas #cloudgpu #highperformancecomputing #aiacceleration #deeplearninggpu #renderingincloud #3dgraphicscloud #cloudgaming #machinelearningpower #datacentergpu #remotegpuresources #gputraining #computeintensive #cloudinfrastructure #gpuoncloud #payasyougpu #techacceleration #innovationaservice #aidevelopmenttools #gpurendering #videoprocessingcloud #scalablegpu #gpubasedai #virtualgpu #edgecomputinggpu #startupsincloud #gpuforml #scientificcomputing #medicalimaginggpu #enterpriseai #nextgentech #gpuinfrastructure #cloudinnovation #gpucloudservices #smartcomputing

Research Scope:

· Estimates and forecast the overall market size for the total market, across type, application, and region

· Detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling

· Identify factors influencing market growth and challenges, opportunities, drivers, and restraints

· Identify factors that could limit company participation in identified international markets to help properly calibrate market share expectations and growth rates

· Trace and evaluate key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities

About Us:

Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

Contact Us:

Global Insight Services LLC  16192, Coastal Highway, Lewes DE 19958  E-mail: info@globalinsightservices.com  Phone: +1–833–761–1700  Website: https://www.globalinsightservices.com/

[lovelypol]

AI Chips = The Future! Market Skyrocketing to $230B by 2034 🚀

Artificial Intelligence (AI) Chip Market focuses on high-performance semiconductor chips tailored for AI computations, including machine learning, deep learning, and predictive analytics. AI chips — such as GPUs, TPUs, ASICs, and FPGAs — enhance processing efficiency, enabling autonomous systems, intelligent automation, and real-time analytics across industries.

To Request Sample Report : https://www.globalinsightservices.com/request-sample/?id=GIS25086 &utm_source=SnehaPatil&utm_medium=Article

Market Trends & Growth:

GPUs (45% market share) lead, driven by parallel processing capabilities for AI workloads.

ASICs (30%) gain traction for customized AI applications and energy efficiency.

FPGAs (25%) are increasingly used for flexible AI model acceleration.

Inference chips dominate, optimizing real-time AI decision-making at the edge and cloud.

Regional Insights:

North America dominates the AI chip market, with strong R&D and tech leadership.

Asia-Pacific follows, led by China’s semiconductor growth and India’s emerging AI ecosystem.

Europe invests in AI chips for automotive, robotics, and edge computing applications.

Future Outlook:

With advancements in 7nm and 5nm fabrication technologies, AI-driven cloud computing, and edge AI innovations, the AI chip market is set for exponential expansion. Key players like NVIDIA, Intel, AMD, and Qualcomm are shaping the future with next-gen AI architectures and strategic collaborations.

#aichips #artificialintelligence #machinelearning #deeplearning #neuralnetworks #gpus #cpus #fpgas #asics #npus #tpus #edgeai #cloudai #computervision #speechrecognition #predictiveanalytics #autonomoussystems #aiinhealthcare #aiinautomotive #aiinfinance #semiconductors #highperformancecomputing #waferfabrication #chipdesign #7nmtechnology #10nmtechnology #siliconchips #galliumnitride #siliconcarbide #inferenceengines #trainingchips #cloudcomputing #edgecomputing #aiprocessors #quantumcomputing #neuromorphiccomputing #iotai #aiacceleration #hardwareoptimization #smartdevices #bigdataanalytics #robotics #aiintelecom

[govindhtech]

Next-Gen Dell PowerEdge XE9680 for Heavy Workloads

Exciting Dell-Intel AI Updates from Dell Technologies World: The second part of 2024 will see Dell PowerEdge XE9680 servers with Intel Gaudi 3 AI accelerators.

At this year’s Intel Vision conference, Intel CEO Pat Gelsinger introduced the Gaudi 3 AI accelerator. Michael Dell attended Pat’s keynote via livestream to announce that Dell Technologies will release the Intel Gaudi 3 AI Accelerator on the Dell PowerEdge XE9680 server later this year.

Dell PowerEdge XE9680

Dell Technologies’ Infrastructure Solutions Group President Arthur Lewis reiterated this in his keynote talk at Dell Technologies World last week.

Dell PowerEdge XE9680 will support Gaudi 3 in the second half of 2024. Before launch, customers can seek quotes from Dell and Dell partners in late June.

With its improved AI acceleration and variety of GPU options, the Dell PowerEdge XE9680 server, which debuted last year, has set the benchmark for purpose-built AI and GenAI computation. Gaudi 3 will improve Dell and Intel’s collaboration by meeting customer infrastructure demands, lowering total cost of ownership, and simplifying deployment when it joins Dell’s server lineup later this year.

This is made possible by an open ecosystem that includes scalable Ethernet-based AI fabrics coupled with AI frameworks tailored for Dell and Gaudi 3.

In order to enable a restricted group of customers to evaluate Intel AI solutions on Dell hardware before implementing them in their data centres, Intel will add Dell PowerEdge XE9680 servers with Intel AI Accelerators to the Intel Developer Cloud prior to the general release of Gaudi 3.

For additional details regarding Dell Technologies’ announcement that the PowerEdge XE9680 series will now include the Gaudi 3.

Best AI session summaries

Check out these featured AI sessions from Dell Technologies World 2024, led by experts. AI tools were used to distil the recap content.

Resolving the Data Conundrum in the AI Era

Discover the advantages of AI with Dell Technologies, Deloitte, and ServiceNow. Learn about data governance, unstructured data, and the moral application of AI.

Adopting a Human First Perspective for AI Innovation

Get advice on promoting AI innovation that is focused on people from Dell Technologies, McLaren Racing, EY, and the City of Amarillo.

How to Use Sustainable IT Strategies to Future Proof Your Business

Discover how AI and sustainability can work together as senior executives from Computacenter, Creative Strategies, and Dell share their go-to tactics.

High-performance servers like the Dell PowerEdge XE9680 are made to withstand the rigorous demands of contemporary data centres, especially those with applications including high-performance computing (HPC), machine learning (ML), and artificial intelligence (AI).

Below are the main attributes and details of the Dell PowerEdge XE9680

Important characteristics

High Compute Density: Supports up to eight NVIDIA A100 GPUs for AI and HPC computation.

Processor: Latest Intel Xeon Scalable CPUs provide powerful processing and support for huge memory configurations.

Memory: Some configurations allow terabytes of RAM for data-intensive applications.

Storage: Offers NVMe, SSDs, and HDDs for various performance and capacity needs. With many 100GbE ports and other high-speed networking options, can support large-scale computation data flow.

Cooling and Power Efficiency: State-of-the-art cooling techniques to guarantee peak performance and dependability, along with effective power control to minimise running expenses.

XE9680 spec sheet

Form Factor: Server rack, 4U

GPUs: Eight NVIDIA A100 GPUs maximum

CPUs: The most recent generation of Intel Xeon Scalable processors

Memory: Multiple terabyte capacities are supported, including DDR4 or DDR5 support.

Storage: NVMe, SSD, and HDD are supported by several disc bays.

Networking: A number of fast network connectors, including the expansion of 100GbE PCIe slots are available for adding more expansion cards.

Use cases for machine learning and artificial intelligence

Because of its strong GPU capabilities, the XE9680 is perfect for workloads including training and inference in AI and ML.

High-Performance Computing: Appropriate for data analytics, scientific simulations, and other HPC applications needing substantial processing power.

Data Analytics: Able to manage complicated query execution and real-time data processing, among other large-scale data analytics operations.

Virtualization is a flexible option for combining several workloads on a single server since it supports virtualized environments.

Management and Security: For remote monitoring and management, use the Integrated Dell Remote Access Controller (iDRAC).

Hardware and firmware security mechanisms are included to prevent unwanted access and guarantee data integrity.

PowerEdge XE9680

High-performance servers like the Dell PowerEdge XE9680 are made to last in today’s data centres, especially for applications involving machine learning (ML), artificial intelligence (AI), and high-performance computing (HPC). The Dell PowerEdge XE9680 offers the following main advantages:

High Performance CPU Power: The PowerEdge XE9680’s potent CPUs offer remarkable processing power that can effectively handle demanding applications.

GPU Acceleration: The multiple GPU support on this server greatly speeds up work related to AI, ML, and data analytics. For jobs requiring parallel processing capability, it’s perfect.

Equilibrium

Modular Design: Organisations may easily scale their servers by adding more processing power or storage as needed thanks to the server’s modular design.

Flexible Configurations: Businesses can customise the server to meet unique workload requirements thanks to support for a variety of configurations.

Improved Storage

High space: With a significant amount of storage space, the XE9680 is a good choice for applications that require a lot of data. Large-scale AI model training, databases, and big data analytics all depend on this.

High-speed Storage Options: The server guarantees quick data access and transfer rates by supporting NVMe SSDs and other high-speed storage technologies.

Expert Networking

High-bandwidth connectivity: In order to facilitate real-time data processing and analysis, the server is built to accommodate high-speed networking solutions. This guarantees quick data transfer and minimal latency.

Multiple Network Interfaces: It provides a number of network interfaces for load balancing and redundancy, which improves the performance and stability of the network.

The Efficiency of Energy

Optimised Power Usage: By reducing power consumption without sacrificing performance, Dell has integrated energy-efficient technologies into the XE9680, helping to cut operational costs.

Characteristics of Sustainability: It is equipped with features that lessen the carbon impact of data centre operations, all with an eye towards sustainability.

Trustworthiness and Safety

Robust Design: With features like redundant power supplies and cooling systems to guarantee uptime, the server is designed to be extremely dependable.

Advanced Security: Dell’s security features, which include secure boot, silicon-based root of trust, and system lockdown capabilities, shield infrastructure and data from online attacks.

Management Ease

Easy-to-use Management Tools: Dell offers a range of tools that make monitoring, maintenance, and server deployment easier. One such product is the Dell EMC OpenManage line, which provides all-inclusive infrastructure management.

Remote Management: Administrators may control the server from any location with integrated remote management capabilities, which eliminates the need for on-site assistance and streamlines processes.

Services and Support

Expert Support: To guarantee that the server stays functional and effective, Dell provides a wide range of support services, including proactive maintenance and prompt issue resolution.

Training and Resources: To assist IT workers in efficiently managing and utilising the server, Dell offers a range of resources, such as training courses and manuals.

In conclusion, the Dell PowerEdge XE9680 is a strong and adaptable server made to fulfil the most exacting performance requirements of contemporary data centres. It is appropriate for a wide range of demanding applications, from AI and ML to HPC and beyond, thanks to its support for numerous high-end GPUs, current generation CPUs, and an abundance of memory and storage options.

Read more on govindhtech.com

[gis2080]

"AI + Semiconductors = The Ultimate Power Duo for Predicting the Future (2025-2033)"

AI for Predictive Semiconductor Trends Market is revolutionizing the semiconductor industry by leveraging artificial intelligence to forecast trends, optimize production, and streamline supply chain management. AI-powered demand forecasting, yield optimization, and predictive maintenance enable semiconductor manufacturers, designers, and suppliers to enhance efficiency, cut costs, and stay ahead of market shifts.

To Request Sample Report: https://www.globalinsightservices.com/request-sample/?id=GIS32975 &utm_source=SnehaPatil&utm_medium=Article

The automotive sector leads the market, integrating AI for autonomous driving and advanced safety systems. Consumer electronics follows closely, with rising AI adoption in smart home devices and personal gadgets. Additionally, telecommunications benefits from AI-driven 5G network optimization. North America dominates the market due to its strong AI research ecosystem and semiconductor innovation. Europe ranks second, with major investments in AI-powered semiconductor advancements, particularly in Germany and the UK. Meanwhile, Asia-Pacific is emerging as a key player, as China, South Korea, and Taiwan invest in AI-enhanced semiconductor manufacturing.

The market is poised for exponential growth, fueled by cloud AI, edge computing, and hybrid AI models. As AI continues to reshape semiconductor manufacturing, predictive analytics will drive greater efficiency, sustainability, and innovation in the industry.

#aiinsemiconductors #predictiveanalytics #machinelearning #deeplearning #aiinnovation #smartmanufacturing #semiconductortrends #yieldoptimization #supplychainai #techforecasting #cloudai #edgecomputing #autonomousdriving #5gnetworks #artificialintelligence #bigdataanalytics #chipdesign #aiaccelerators #quantumcomputing #smartfactories #digitaltransformation #computervision #naturalanguageprocessing #automation #semiconductorindustry #aioptimization #iot #processautomation #datascience #techdisruption #futuretech

[boom3010]

In-Memory Computing Chips: The Next Big Thing? Market to Hit $12.4B by 2034

In-Memory Computing Chips Market is experiencing rapid growth as industries demand faster data processing, real-time analytics, and energy-efficient computing. Unlike traditional architectures, in-memory computing chips store and process data in the same location, eliminating latency and dramatically improving performance. This breakthrough technology is transforming industries such as AI, big data, edge computing, healthcare, finance, and autonomous systems.

To Request Sample Report: https://www.globalinsightservices.com/request-sample/?id=GIS10637 &utm_source=SnehaPatil&utm_medium=Article

Why In-Memory Computing Chips?

✅ Accelerate AI & machine learning applications ✅ Enable real-time big data analytics ✅ Reduce power consumption & latency ✅ Optimize cloud computing & edge AI

Market Growth Drivers:

📈 Growing demand for AI-driven computing & deep learning 📈 Expansion of IoT, 5G, and high-performance computing (HPC) 📈 Rising need for energy-efficient data centers & cloud infrastructure 📈 Advancements in neuromorphic and resistive RAM (ReRAM) technologies

The global in-memory computing chips market is set to expand, with major tech giants and startups investing in AI accelerators, neuromorphic computing, and next-gen memory architectures. As AI, blockchain, and real-time analytics continue to evolve, in-memory computing is emerging as a critical enabler of high-speed, low-latency processing.

With quantum computing and edge AI pushing the limits of traditional computing, in-memory computing chips are paving the way for a faster, smarter, and more efficient digital future.

What are your thoughts on in-memory computing? Let’s discuss! 👇

#InMemoryComputing #AIAccelerators #EdgeAI #HighPerformanceComputing #BigData #RealTimeAnalytics #CloudComputing #MachineLearning #ArtificialIntelligence #NeuromorphicComputing #NextGenChips #TechInnovation #AIChips #DataProcessing #DeepLearning #IoT #5G #QuantumComputing #SmartComputing #ChipTechnology #EnergyEfficientTech #HPC #DataCenters #ReRAM #CloudAI #AIHardware #FutureOfComputing #FastProcessing #LowLatency #NextGenMemory 🚀

Research Scope:

· Estimates and forecast the overall market size for the total market, across type, application, and region

· Detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling

· Identify factors influencing market growth and challenges, opportunities, drivers, and restraints

· Identify factors that could limit company participation in identified international markets to help properly calibrate market share expectations and growth rates

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[futurefatum]

🟢🙏💙 THE UNCENSORED TRUTH About What's REALLY Going ON! Geoffrey Hoppe Channels Adamus Saint Germain! (Tone: 353)

🌍 Democracy is shifting. The world isn’t ending—it’s evolving. AI, governance, & self-love are redefining the future. What’s next? A new Earth by 2044. Are you ready? 🚀 #ConsciousnessShift #AIAcceleration #FuturePredictions

Posted on Feb 13th, 2025 by @inspirenation Compelling Summary In this thought-provoking conversation, Michael Sandler interviews Geoffrey Hoppe, the channeler of Adamus Saint Germain, to explore the massive global changes unfolding today. The discussion dives into the potential end of democracy, the rapid evolution of human consciousness, and how humanity is preparing for an unprecedented…

[thereporterasiastuff-blog]

RISE เปิดโครงการ AI Accelerator เป็นครั้งแรกใน SEA

สถาบันเร่งสปีดนวัตกรรมองค์กร เปิดตัวโปรแกรม AI Accelerator เป็นครั้งแรกในเอเชียตะวันออกเฉียงใต้ เดินหน้าสร้างองค์ความรู้ด้านปัญญาประดิษฐ์ สู่ต้นแบบธุรกิจหลายหลายบริการ ซึ่งจะเป็นโปรแกรมเร่งสปีดการนำเทคโนโลยีปัญญาประดิษฐ์ หรือ Artificial Intelligence (AI) มาใช้ในองค์กร มุ่งเน้นให้เกิดผลลัพธ์ทางธุรกิจที่จับต้องได้ และสามารถตอบโจทย์ขององค์กรชั้นนำในภูมิภาคเอเชียตะวันออกเฉียงใต้ RISE.AI เป็นโปรแกรมเร่งสปีดนวัตกรรมในด้าน AI สำหรับองค์กร โดย RISE ทำงานร่วมกับเครือข่ายพาร์ทเนอร์ที่ครอบคลุมทั้งในภูมิภาคเอเชียตะวันออกเฉียงใต้และทั่วโลก โดยใช้ความเชี่ยวชาญของ RISE ในการนำ AI มาใช้เพื่อพัฒนานวัตกรรมองค์กร เพื่อมุ่งเน้นให้เกิดผลลัพธ์ที่เป็นรูปธรรมและนำไปใช้ได้จริง ด้วยการเชื่อมต่อแนวคิดเชิงนวัตกรรมเข้ากับแนวทางปฏิบัติที่ประยุกต์ใช้ได้ในการเร่งสปีดการพัฒนาเทคโนโลยี AI โปรแกรม RISE.AI นี้ มีจุดมุ่งหมายเพื่อรวบรวมสตาร์ทอัพที่มีนวัตกรรม AI ที่ดีที่สุดจากทั่วโลก และผู้เชี่ยวชาญด้านเทคโนโลยีปัญญาประดิษฐ์มาร่วมกันพัฒนาโครงการนำร่องต่าง ๆ กับบริษัทชั้นนำในภาคธุรกิจต่าง ๆ เช่น การเงิน & การธนาคาร ประกันภัย พลังงาน และเทคโนโลยีสะอาด เป็นต้น องค์กรชั้นนำในประเทศไทยที่เข้าร่วมโปรแกรมนี้ ได้แก่ บริษัท ปตท. สำรวจและผลิตปิโตรเลียม จำกัด (มหาชน) (ปตท.สผ) บริษัท เอไอ แอนด์ โรโบติกส์ เวนเจอร์ส จำกัด ธนาคารกรุงศรีอ��ุธยา จำกัด (มหาชน) และสำนักงานส่งเสริมเศรษฐกิจดิจิทัล (depa) โดยโปรแกรมนี้จะจัดขึ้นในช่วงเดือนเมษายน – กันยายน พ.ศ. 2562

นายณัฐภัทร ธเนศวรกุล Head of Ventures สถาบันเร่งสปีดนวัตกรรมองค์กร หรือ RISE นายณัฐภัทร ธเนศวรกุล Head of Ventures สถาบันเร่งสปีดนวัตกรรมองค์กร หรือ RISE– Regional Corporate Innovation Accelerator กล่าวว่า เทคโนโลยีปัญญาประดิษฐ์จะเป็นตัวขับเคลื่อนหลักที่ช่วยกระตุ้นการเติบโตของจีดีพีโดยรวมของประเทศไทยและภูมิภาคเอเชียตะวันออกเฉียงใต้ ซึ่งการจัดตั้งวัฒนธรรมที่ขับเคลื่อนด้วยข้อมูลในองค์กรธุรกิจ จะช่วยให้องค์กรระดับภูมิภาคต่าง ๆ สามารถปรับกลยุทธ์ทางธุรกิจให้เหมาะสมและยกระดับผลิตภัณฑ์ และบริการต่าง ๆ เพื่อนำไปสู่การเติบโตทางเศรษฐกิจที่ยั่งยืน ขณะนี้ อุตสาหกรรมของ AI กำลังเติบโตและมีผลกระทบอย่างมากต่อทั้งธุรกิจและสังคม ซึ่งการเพิ่มขึ้นของการใช้ปัญญาประดิษฐ์ก่อให้เกิดการปรับเปลี่ยนและพัฒนามากมายในอุตสาหกรรมต่าง ๆ ทำให้องค์กรเปลี่ยนแนวทางการดำเนินธุรกิจ ปฏิรูปวิธีการ เปลี่ยนแปลงสภาพแวดล้อม เพื่อให้องค์กรสามารถทำธุรกิจของตนเอง และแข่งขันในเศรษฐกิจโลกได้ ดังนั้น ธุรกิจต่าง ๆ จึงจำเป็นต้องนำเทคโนโลยีใหม่มาใช้ในการรับมือกับการเปลี่ยนแปลงทางเทคโนโลยีอย่างรวดเร็วและสร้างโอกาสทางธุรกิจใหม่ ๆ เพื่อช่วยเสริมสร้างความสามารถในการแข่งขันและเพิ่มรายได้ให้สูงขึ้น อีกทั้ง จากข้อมูลวิจัยของ McKinsey ได้ระบุว่า การปรับใช้ AI จะส่งผลทำให้กำไรของธุรกิจต่าง ๆ ในทุกภาคธุรกิจเพิ่มขึ้นอย่างมากในปี พ.ศ. 2578 โดยเฉพาะอย่างยิ่งด้านการศึกษา การให้บริการที่พัก & อาหาร และการก่อสร้าง ซึ่งคาดว่าจะเพิ่มสูงขึ้นมากกว่า 70% นอกจากนี้ มีการคาดว่าการใช้ AI ในธุรกิจค้าส่งและค้าปลีก การเกษตร ป่าไม้ การประมงและการดูแลสุขภาพจะทำให้ผลกำไรเพิ่มขึ้นมากกว่า 50% รวมทั้งเมื่อพิจารณาถึงความได้เปรียบจากการนำ AI มาใช้ในตลาดก่อนคู่แข่งขัน ในขณะนี้ ธุรกิจต่าง ๆ มีความกระตือรือร้นที่จะพัฒนาขีดความสามารถด้าน AI ของตนเองเพื่อสร้างความได้เปรียบในการแข่งขันดังกล่าว “อย่างไรก็ตาม การนำ AI มาใช้นั้นจะต้องใช้เวลานานและมีค่าใช้จ่ายสูง บริษัทส่วนใหญ่ในเอเชียตะวันออกเฉียงใต้ กำลังเผชิญหน้ากับปัญหาทรัพยากรไม่เพ��ยงพอในการพัฒนาเทคโนโลยี AI ภายในองค์กร และยังไม่สามารถเข้าถึงนักพัฒนา AI ทั่วโลกได้อีกด้วย สภาพแวดล้อมเหล่านี้ คือเหตุผลว่าทำไมโปรแกรม RISE.AI จึงถูกออกแบบให้เชื่อมโยงกับองค์กรต่าง ๆ และนักพัฒนา AI ทั่วโลกที่มีคุณสมบัติเหมาะสมเข้าไว้ด้วยกัน เพื่อร่วมกันทำงานที่มีศักยภาพและรักษาความสามารถในการแข่งขันในเศรษฐกิจโลกที่กำลังมีการเปลี่ยนแปลง” นายณัฐภัทร กล่าว

นายธนา สราญเวทย์พันธุ์ ผู้จัดการอาวุโสสายงานบริหารเทคโนโลยีและองค์ความรู้ ปตท.สผ ด้านนายธนา สราญเวทย์พันธุ์ ผู้จัดการอาวุโสสายงานบริหารเทคโนโลยีและองค์ความรู้ ปตท.สผ กล่าวว่า “ ปตท.สผ ได้วางแผนในการนำเทคโนโลยี AI มาใช้ในหลายส่วนที่สำคัญขององค์กร เพื่อยกระดับการดำเนินธุรกิจขององค์กร ทางเรารู้สึกตื่นเต้นที่จะเข้ามาเป็นหนึ่งในพันธมิตรที่มีส่วนร่วมอย่างเป็นทางการของโปรแกรม RISE.AI ที่จะช่วยให้ ปตท.สผ ค้นหาสตาร์ทอัพที่ดีที่สุดจากทั่วโลกมาผลักดันนวัตกรรมองค์กรด้าน AI RISE.AI เป็นโปรแกรมเร่งสปีด AI ที่ช่วยให้องค์กรต่าง ๆ สามารถเข้าถึงแหล่งคอมมูนิตี้ AI ทั่วโลก โดยโปรแกรมนี้จะคัดเลือกสตาร์ทอัพจากความสามารถในการแก้ไขปัญหาในโจทย์ที่ได้รับจากแต่ละองค์กร ทั้งนี้ สตาร์ทอัพด้าน AI ทั้งหมดที่ได้รับคัดเลือกให้เข้าร่วมโปรแกรม จะมีโอกาสเข้าร่วมแคมป์เพื่อร่ว��กันพัฒนาโครงการนำร่องต่าง ๆ เป็นเวลา 9 สัปดาห์กับพันธมิตรองค์กรชั้นนำต่าง ๆ ของ RISE และรับการให้คำปรึกษาส่วนตัวจากผู้เชี่ยวชาญด้าน AI จาก New York University Tandon Future Labs เพื่อทำให้มั่นใจได้ว่าในโครงการที่สร้างขึ้นภายในกรอบเวลาของโปรแกรมมีศักยภาพระดับสากล นอกจากนั้น ด้วยโปรแกรมการประเมินเชิงกลยุทธ์และการให้คำปรึกษาจากพันธมิตรผู้เชี่ยวชาญของ RISE.AI จะทำให้ RISE.AI เป็นแพลตฟอร์มที่มีแนวโน้มในการพัฒนา AI ขององค์กรในภูมิภาคเอเชียตะวันออกเฉียงใต้ได้สำเร็จ ซึ่งโปรแกรมดังกล่าวได้เปิดตัวอย่างเป็นทางการแล้วในเดือนเมษายน พ.ศ. 2562 โดยมีแผนที่จะจัดงานโรดโชว์ในเมืองใหญ่ 10 แห่ง ทั่วเอเชีย ได้แก่ กรุงเทพฯ สิงคโปร์ โตเกียว เมืองโฮจิมินห์ ปักกิ่ง หางโจว เซินเจิ้น ฮ่องกง โซล และไทเป ด้าน มีนา ซาลิบ ผู้อำนวยการโครงการจาก New York University Tandon Future Labs ซึ่งเป็นหนึ่งในพันธมิตรทางกลยุทธ์ ของ RISE.AI กล่าวว่า “ โปรแกรม RISE.AI เป็นโอกาสที่ดีที่สุด สำหรับสตาร์ทอัพ ที่ต้องการการขยายตัวและการเติบโตของธุรกิจในเอเชียตะวันออกเฉียงใต้ เพราะองค์กรธุรกิจในภูมิภาคนี้ทุ่มการลงทุนในเทคโนโลยี AI เป็นอย่างมาก ดังนั้น ผมจึงสนับสนุนให้สตาร์ทอัพ AI จากทั่วโลกเข้าร่วมกับ RISE.AI ซึ่งถือเป็น Corporate AI Accelerator ครั้งแรกในภูมิภาคเอเชียตะวันออกเฉียงใต้” ลิงค์ที่เกี่ยวข้อง www.riseaccel.com Read the full article

[maintec]

Benefits of the new IBM z16 Mainframe• Accelerated AIAccelerated AI insights to create new value for business• Cyber resiliencyProtect against current and future threats by securing your data• ModernizationSpeed up modernization of workloads and integrate them seamlessly across the hybrid cloud Source- IBM Contact us for Mainframe Services