• A supercomputer is an extremely powerful computing machine with the ability to process massive amounts of data and perform complex calculations at extremely high speeds. These machines are used for tasks that require immense computational power, such as weather modeling, nuclear simulations, molecular modeling, and other scientific and engineering applications.

    Key characteristics of supercomputers include:

    Processing Power: Supercomputers are designed to handle a huge number of calculations per second (measured in FLOPS - Floating Point Operations Per Second). This processing power allows them to tackle complex problems that would be impractical or impossible for traditional computers.

    Parallel Processing: Supercomputers often use parallel processing, where multiple processors work simultaneously on different parts of a problem. This parallelism allows for faster computation and the ability to handle large datasets.

    Specialized Architecture: Supercomputers may have a unique and specialized architecture tailored to the specific tasks they are designed to perform. This can include vector processing, custom hardware accelerators, or other optimizations.

    High-Speed Interconnects: Communication between the individual processors in a supercomputer is crucial. High-speed interconnects allow for efficient data exchange and coordination among the different components.

    Large Memory Capacity: Supercomputers typically have a significant amount of RAM (Random Access Memory) to support the processing of large datasets and complex algorithms.

    Cooling Systems: The immense computational power of supercomputers generates a substantial amount of heat. Advanced cooling systems, such as liquid cooling or specialized air-cooling solutions, are essential to maintain optimal operating temperatures.

    Supercomputers play a crucial role in advancing scientific research, solving complex problems, and simulating real-world scenarios. Organizations and research institutions around the world use supercomputers to tackle challenges in fields like climate modeling, astrophysics, drug discovery, and more. Examples of supercomputers include Summit, Fugaku, and Tianhe-2. The field of supercomputing is dynamic, with new and more powerful systems regularly being developed to push the boundaries of computational capability.
    A supercomputer is an extremely powerful computing machine with the ability to process massive amounts of data and perform complex calculations at extremely high speeds. These machines are used for tasks that require immense computational power, such as weather modeling, nuclear simulations, molecular modeling, and other scientific and engineering applications. Key characteristics of supercomputers include: Processing Power: Supercomputers are designed to handle a huge number of calculations per second (measured in FLOPS - Floating Point Operations Per Second). This processing power allows them to tackle complex problems that would be impractical or impossible for traditional computers. Parallel Processing: Supercomputers often use parallel processing, where multiple processors work simultaneously on different parts of a problem. This parallelism allows for faster computation and the ability to handle large datasets. Specialized Architecture: Supercomputers may have a unique and specialized architecture tailored to the specific tasks they are designed to perform. This can include vector processing, custom hardware accelerators, or other optimizations. High-Speed Interconnects: Communication between the individual processors in a supercomputer is crucial. High-speed interconnects allow for efficient data exchange and coordination among the different components. Large Memory Capacity: Supercomputers typically have a significant amount of RAM (Random Access Memory) to support the processing of large datasets and complex algorithms. Cooling Systems: The immense computational power of supercomputers generates a substantial amount of heat. Advanced cooling systems, such as liquid cooling or specialized air-cooling solutions, are essential to maintain optimal operating temperatures. Supercomputers play a crucial role in advancing scientific research, solving complex problems, and simulating real-world scenarios. Organizations and research institutions around the world use supercomputers to tackle challenges in fields like climate modeling, astrophysics, drug discovery, and more. Examples of supercomputers include Summit, Fugaku, and Tianhe-2. The field of supercomputing is dynamic, with new and more powerful systems regularly being developed to push the boundaries of computational capability.
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  • A workstation typically refers to a high-performance computer system designed for professional or technical tasks. Workstations are often used in fields that require intensive computational power, such as graphic design, 3D modeling, video editing, scientific research, and engineering. These systems are more powerful than standard desktop computers and are optimized for tasks that demand significant processing capabilities.

    Here are some key characteristics of workstations:

    Performance:
    Workstations are equipped with powerful processors, large amounts of RAM (random access memory), and high-end graphics cards to handle complex calculations and graphics rendering.

    Graphics Capabilities:
    Workstations often have advanced graphics processing units (GPUs) to support tasks like 3D modeling, animation, and rendering. This is crucial in fields such as computer-aided design (CAD), architecture, and multimedia production.

    Memory and Storage:
    Workstations typically have ample RAM to handle large datasets and multitasking. They also have fast storage solutions, such as solid-state drives (SSDs), to reduce loading times for large files.

    Reliability:
    Workstations are designed for reliability and stability. They often include features like error-correcting code (ECC) memory to ensure data accuracy and prevent crashes due to memory errors.

    Expandability:
    Workstations usually offer a high degree of expandability, allowing users to add additional hardware components such as graphics cards, storage drives, and specialized peripherals.

    Specialized Software:
    Workstations often come preloaded with or are optimized for specialized software used in specific industries. This software can include CAD applications, engineering simulations, and scientific analysis tools.

    Networking:
    Workstations may have advanced networking capabilities, including support for high-speed data transfer and remote access, to facilitate collaboration and data sharing.

    Build Quality:
    Workstations are built with high-quality components and undergo rigorous testing to ensure stability and longevity. They are often designed to operate 24/7 in demanding environments.

    In summary, workstations are tailored to meet the demands of professionals in fields where high-performance computing is essential. Their design focuses on providing the processing power, graphics capabilities, and reliability needed for tasks that go beyond the capabilities of standard desktop computers.
    A workstation typically refers to a high-performance computer system designed for professional or technical tasks. Workstations are often used in fields that require intensive computational power, such as graphic design, 3D modeling, video editing, scientific research, and engineering. These systems are more powerful than standard desktop computers and are optimized for tasks that demand significant processing capabilities. Here are some key characteristics of workstations: Performance: Workstations are equipped with powerful processors, large amounts of RAM (random access memory), and high-end graphics cards to handle complex calculations and graphics rendering. Graphics Capabilities: Workstations often have advanced graphics processing units (GPUs) to support tasks like 3D modeling, animation, and rendering. This is crucial in fields such as computer-aided design (CAD), architecture, and multimedia production. Memory and Storage: Workstations typically have ample RAM to handle large datasets and multitasking. They also have fast storage solutions, such as solid-state drives (SSDs), to reduce loading times for large files. Reliability: Workstations are designed for reliability and stability. They often include features like error-correcting code (ECC) memory to ensure data accuracy and prevent crashes due to memory errors. Expandability: Workstations usually offer a high degree of expandability, allowing users to add additional hardware components such as graphics cards, storage drives, and specialized peripherals. Specialized Software: Workstations often come preloaded with or are optimized for specialized software used in specific industries. This software can include CAD applications, engineering simulations, and scientific analysis tools. Networking: Workstations may have advanced networking capabilities, including support for high-speed data transfer and remote access, to facilitate collaboration and data sharing. Build Quality: Workstations are built with high-quality components and undergo rigorous testing to ensure stability and longevity. They are often designed to operate 24/7 in demanding environments. In summary, workstations are tailored to meet the demands of professionals in fields where high-performance computing is essential. Their design focuses on providing the processing power, graphics capabilities, and reliability needed for tasks that go beyond the capabilities of standard desktop computers.
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  • Computer types


    There are various types of computers designed for different purposes, and they can be categorized based on their size, performance, and intended use. Here are some common types of computers:

    Personal Computers (PCs):
    Desktops: Traditional computers that consist of a separate monitor, keyboard, and processing unit.
    Laptops: Portable computers with an integrated screen and keyboard, designed for on-the-go use.
    Workstations: High-performance computers optimized for tasks such as graphic design, video editing, and scientific applications.

    Servers:
    File Servers: Manage and store files for a network of computers.
    Web Servers: Host websites and web applications.
    Database Servers: Handle database-related tasks for applications.

    Mainframes:
    Powerful, large-scale computers designed for handling complex computing tasks and serving multiple users simultaneously.

    Supercomputers:
    Extremely powerful computers used for scientific and engineering calculations, weather modeling, and other complex simulations.

    Embedded Computers:
    Integrated into other devices or systems, such as cars, appliances, industrial machines, and medical devices.

    Smartphones and Tablets:
    Mobile devices that combine computing power with communication capabilities.

    Gaming Consoles:
    Specialized computers designed for playing video games.

    Wearable Computers:
    Devices like smartwatches and fitness trackers that are worn on the body.

    Quantum Computers:
    Experimental computers that use the principles of quantum mechanics for processing information.

    Single-Board Computers:
    Compact computers with all components, including CPU, memory, and I/O, integrated onto a single circuit board (e.g., Raspberry Pi).

    Microcontrollers:
    Embedded computers with a microprocessor, memory, and input/output peripherals, commonly used in electronic devices and appliances.

    Cloud Computers:
    Virtualized computing resources accessed over the internet, providing scalable and on-demand services.

    These are just a few examples, and advancements in technology may lead to the development of new types of computers in the future. Each type of computer serves specific purposes and is designed to meet the requirements of particular applications.

    Neuromorphic Computers:
    Designed to mimic the structure and function of the human brain, these computers aim to perform tasks related to artificial intelligence and machine learning more efficiently.

    HPC (High-Performance Computing) Clusters:
    Groups of interconnected computers that work together to solve complex computational problems, often used in scientific research and simulations.

    Network Computers:
    Computers optimized for network tasks, often used in data communication and network management.

    Rugged Computers:
    Built to withstand harsh environmental conditions, such as extreme temperatures, moisture, and vibrations. Commonly used in military applications and outdoor fieldwork.

    Kiosks:
    Computers designed for public use, often with specialized software for specific tasks like information retrieval, ticket purchasing, or self-checkout.

    Thin Clients:
    Lightweight computers that rely on a central server for processing and storage, commonly used in environments where centralized management is preferred.

    Digital Signal Processors (DSPs):
    Specialized microprocessors designed for efficient processing of signals in applications like audio and video processing.

    AI Accelerators:
    Hardware specifically designed to accelerate artificial intelligence workloads, often used in conjunction with traditional CPUs and GPUs.

    Robotics Controllers:
    Computers that control the operation of robots, providing the necessary computational power for tasks like sensing, decision-making, and motion control.

    Bioinformatics Servers:
    Computers used for processing and analyzing biological data, such as DNA sequences and protein structures.

    POS (Point of Sale) Systems:
    Computers used in retail environments for processing transactions, managing inventory, and tracking sales.

    Educational Computers:
    Computers designed for educational purposes, often with features tailored to support learning and skill development in students.

    The field of computing is diverse, and specialized computers continue to be developed to meet the demands of specific industries and applications. Advances in technology often lead to the creation of new types of computers with improved capabilities and functionalities.
    Computer types There are various types of computers designed for different purposes, and they can be categorized based on their size, performance, and intended use. Here are some common types of computers: Personal Computers (PCs): Desktops: Traditional computers that consist of a separate monitor, keyboard, and processing unit. Laptops: Portable computers with an integrated screen and keyboard, designed for on-the-go use. Workstations: High-performance computers optimized for tasks such as graphic design, video editing, and scientific applications. Servers: File Servers: Manage and store files for a network of computers. Web Servers: Host websites and web applications. Database Servers: Handle database-related tasks for applications. Mainframes: Powerful, large-scale computers designed for handling complex computing tasks and serving multiple users simultaneously. Supercomputers: Extremely powerful computers used for scientific and engineering calculations, weather modeling, and other complex simulations. Embedded Computers: Integrated into other devices or systems, such as cars, appliances, industrial machines, and medical devices. Smartphones and Tablets: Mobile devices that combine computing power with communication capabilities. Gaming Consoles: Specialized computers designed for playing video games. Wearable Computers: Devices like smartwatches and fitness trackers that are worn on the body. Quantum Computers: Experimental computers that use the principles of quantum mechanics for processing information. Single-Board Computers: Compact computers with all components, including CPU, memory, and I/O, integrated onto a single circuit board (e.g., Raspberry Pi). Microcontrollers: Embedded computers with a microprocessor, memory, and input/output peripherals, commonly used in electronic devices and appliances. Cloud Computers: Virtualized computing resources accessed over the internet, providing scalable and on-demand services. These are just a few examples, and advancements in technology may lead to the development of new types of computers in the future. Each type of computer serves specific purposes and is designed to meet the requirements of particular applications. Neuromorphic Computers: Designed to mimic the structure and function of the human brain, these computers aim to perform tasks related to artificial intelligence and machine learning more efficiently. HPC (High-Performance Computing) Clusters: Groups of interconnected computers that work together to solve complex computational problems, often used in scientific research and simulations. Network Computers: Computers optimized for network tasks, often used in data communication and network management. Rugged Computers: Built to withstand harsh environmental conditions, such as extreme temperatures, moisture, and vibrations. Commonly used in military applications and outdoor fieldwork. Kiosks: Computers designed for public use, often with specialized software for specific tasks like information retrieval, ticket purchasing, or self-checkout. Thin Clients: Lightweight computers that rely on a central server for processing and storage, commonly used in environments where centralized management is preferred. Digital Signal Processors (DSPs): Specialized microprocessors designed for efficient processing of signals in applications like audio and video processing. AI Accelerators: Hardware specifically designed to accelerate artificial intelligence workloads, often used in conjunction with traditional CPUs and GPUs. Robotics Controllers: Computers that control the operation of robots, providing the necessary computational power for tasks like sensing, decision-making, and motion control. Bioinformatics Servers: Computers used for processing and analyzing biological data, such as DNA sequences and protein structures. POS (Point of Sale) Systems: Computers used in retail environments for processing transactions, managing inventory, and tracking sales. Educational Computers: Computers designed for educational purposes, often with features tailored to support learning and skill development in students. The field of computing is diverse, and specialized computers continue to be developed to meet the demands of specific industries and applications. Advances in technology often lead to the creation of new types of computers with improved capabilities and functionalities.
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  • MOSS Building & Design is McLean's trusted source for home remodeling services. Backed by extensive experience, we take care of every aspect of your project, from the concept phase through construction and finishing details. Whether you want to update a single room or revitalize your entire home, rely on MOSS Building & Design for unmatched craftsmanship and exceptional customer service. Visit US:-https://www.mossbuildinganddesign.com/home-remodeling-services-in-mclean-va
    MOSS Building & Design is McLean's trusted source for home remodeling services. Backed by extensive experience, we take care of every aspect of your project, from the concept phase through construction and finishing details. Whether you want to update a single room or revitalize your entire home, rely on MOSS Building & Design for unmatched craftsmanship and exceptional customer service. Visit US:-https://www.mossbuildinganddesign.com/home-remodeling-services-in-mclean-va
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  • explain AGI
    **********************************************************
    C-GPT:
    AGI (Artificial General Intelligence) refers to an artificial intelligence system that possesses a level of intelligence that is comparable to that of a human being, and is capable of performing a wide range of intellectual tasks in various contexts. AGI is often contrasted with more narrow or specialized forms of AI that are designed to perform specific tasks, such as recognizing images or playing a game.

    The goal of AGI is to create a machine that can think, reason, learn, and understand the world in much the same way as a human being can. This means that an AGI system should be able to perform a broad range of tasks that require cognitive abilities such as natural language processing, decision-making, problem-solving, and general knowledge.

    While narrow AI systems have made significant progress in recent years, AGI remains a challenging and elusive goal. There are many obstacles to achieving AGI, including the complexity of the human brain, the challenge of modeling human intelligence, and the need for a general-purpose learning algorithm that can adapt to new situations and solve problems across a wide range of domains.

    Research in AGI is still in the early stages, and there is no clear consensus on the best approach to achieving this goal. Some researchers focus on developing more sophisticated algorithms and architectures for artificial neural networks, while others are exploring alternative approaches such as evolutionary computation, reinforcement learning, and cognitive architectures.

    Despite the challenges, many researchers and experts believe that the development of AGI has the potential to revolutionize many fields, including healthcare, finance, transportation, and education, and to have a transformative impact on society as a whole.

    *********************************************************
    what do you know about singularity net?
    *********************************************************

    C-GPT:
    SingularityNET is a decentralized platform for creating, sharing, and monetizing AI services and applications. The platform is designed to enable developers and organizations to create and collaborate on AI algorithms and solutions using a decentralized network of nodes.

    SingularityNET was founded by Dr. Ben Goertzel and Dr. David Hanson in 2017, with the goal of creating an open and accessible AI ecosystem that can be used by anyone, anywhere in the world. The platform is built on blockchain technology, which provides a secure and transparent infrastructure for the development and deployment of AI services.

    One of the key features of SingularityNET is the use of AGI tokens, which serve as a currency for transactions on the platform. AGI tokens can be used to purchase AI services, as well as to reward developers for contributing to the platform.

    SingularityNET has attracted a diverse community of developers, researchers, and organizations who are interested in advancing the field of AI and creating innovative applications and solutions. The platform has also partnered with several high-profile organizations, including Hanson Robotics and the Ocean Protocol Foundation.

    SingularityNET is focused on creating a more democratic and decentralized approach to AI development and deployment, with the goal of making advanced AI technologies more accessible to a wider range of people and organizations. While the platform is still in the early stages of development, it has the potential to play a significant role in shaping the future of AI and its applications in various industries.
    explain AGI ********************************************************** C-GPT: AGI (Artificial General Intelligence) refers to an artificial intelligence system that possesses a level of intelligence that is comparable to that of a human being, and is capable of performing a wide range of intellectual tasks in various contexts. AGI is often contrasted with more narrow or specialized forms of AI that are designed to perform specific tasks, such as recognizing images or playing a game. The goal of AGI is to create a machine that can think, reason, learn, and understand the world in much the same way as a human being can. This means that an AGI system should be able to perform a broad range of tasks that require cognitive abilities such as natural language processing, decision-making, problem-solving, and general knowledge. While narrow AI systems have made significant progress in recent years, AGI remains a challenging and elusive goal. There are many obstacles to achieving AGI, including the complexity of the human brain, the challenge of modeling human intelligence, and the need for a general-purpose learning algorithm that can adapt to new situations and solve problems across a wide range of domains. Research in AGI is still in the early stages, and there is no clear consensus on the best approach to achieving this goal. Some researchers focus on developing more sophisticated algorithms and architectures for artificial neural networks, while others are exploring alternative approaches such as evolutionary computation, reinforcement learning, and cognitive architectures. Despite the challenges, many researchers and experts believe that the development of AGI has the potential to revolutionize many fields, including healthcare, finance, transportation, and education, and to have a transformative impact on society as a whole. ********************************************************* what do you know about singularity net? ********************************************************* C-GPT: SingularityNET is a decentralized platform for creating, sharing, and monetizing AI services and applications. The platform is designed to enable developers and organizations to create and collaborate on AI algorithms and solutions using a decentralized network of nodes. SingularityNET was founded by Dr. Ben Goertzel and Dr. David Hanson in 2017, with the goal of creating an open and accessible AI ecosystem that can be used by anyone, anywhere in the world. The platform is built on blockchain technology, which provides a secure and transparent infrastructure for the development and deployment of AI services. One of the key features of SingularityNET is the use of AGI tokens, which serve as a currency for transactions on the platform. AGI tokens can be used to purchase AI services, as well as to reward developers for contributing to the platform. SingularityNET has attracted a diverse community of developers, researchers, and organizations who are interested in advancing the field of AI and creating innovative applications and solutions. The platform has also partnered with several high-profile organizations, including Hanson Robotics and the Ocean Protocol Foundation. SingularityNET is focused on creating a more democratic and decentralized approach to AI development and deployment, with the goal of making advanced AI technologies more accessible to a wider range of people and organizations. While the platform is still in the early stages of development, it has the potential to play a significant role in shaping the future of AI and its applications in various industries.
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  • My Model Of Photography.


    #photography
    #someesocial
    #somee
    #modeling
    #videography
    #potretvideo
    #photoshoot
    My Model Of Photography. #photography #someesocial #somee #modeling #videography #potretvideo #photoshoot
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  • Showcase the process of data flow using this fully editable data modelling #infographic #PowerPoint template. You can use this PPT template to define the mechanism of dataflow from into and out of the database. Download: https://bit.ly/3DkzYjC
    #DataModelling #datamodeling #infographicdesign #powerpointpresentation #powerpointtemplates #PowerPointslides #powerpointdesign #ppt #Slides #PPTSlides
    Showcase the process of data flow using this fully editable data modelling #infographic #PowerPoint template. You can use this PPT template to define the mechanism of dataflow from into and out of the database. Download: https://bit.ly/3DkzYjC #DataModelling #datamodeling #infographicdesign #powerpointpresentation #powerpointtemplates #PowerPointslides #powerpointdesign #ppt #Slides #PPTSlides
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    Data Modelling Infographic PowerPoint Template | PPT Templates
    Features: Widescreen 16:9 Replace texts as per your need "Theme" based colors Replace icons and image as per the need
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  • Another Hexican comes out of nowhere.

    Profits from HEX allowed my brother and I to buy big packages of SoMee!!! :)
    -HEX is the crypto company that my brother and I have been invested in since it’s origin.
    -HEX Is an alternative to banks, setting up bank CDs. -HEX price has been in limbo the past year, as it waits for Pulsechain to be forked off of a Ethereum.
    -Someday it should run again!!!
    ***Yvette modeling her boy clothes! Lol ????????

    Another Hexican comes out of nowhere. Profits from HEX allowed my brother and I to buy big packages of SoMee!!! :) -HEX is the crypto company that my brother and I have been invested in since it’s origin. -HEX Is an alternative to banks, setting up bank CDs. -HEX price has been in limbo the past year, as it waits for Pulsechain to be forked off of a Ethereum. -Someday it should run again!!! ***Yvette modeling her boy clothes! Lol ????????
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  • https://twitter.com/davejbirtwistle/status/1555166723766099972
    Pretty telling must watch short clip. Insurance companies keep meticulous records to fuel thei databases for accurate forecast modeling to make reliable profits, so I feel it's pretty important that this CEO is saying the underlying factor in excess mortality right now is a compromised immunity amongst the vaccinated.
    https://twitter.com/davejbirtwistle/status/1555166723766099972 Pretty telling must watch short clip. Insurance companies keep meticulous records to fuel thei databases for accurate forecast modeling to make reliable profits, so I feel it's pretty important that this CEO is saying the underlying factor in excess mortality right now is a compromised immunity amongst the vaccinated.
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  • This is the quiestion I asked ElectroSpit on Republic
    I would like to say that: I think this is a great idea from a musician's standpoint! My question is: Do you feel that the technology and software would be able to use with Vocaloid or a similar product in the future?
    I understand the Midi part; however, I‘m looking at the synthesizes of vocal(s) like emulating a person's favorite singer or actor in the future. I understand that it is hard to emulate vocals.  Companies like Yahama have a strong foothold in the digital modeling world. A good example of this case be seen in Line 6  and their Helix Line (Line 6), which emulation guitars amps, and their guitars line: Variax (that emulates other guitars. Line 6 and Vocaliods are subsidiaries of Yahama. In an early comment on Republic, which is what I based my question on, I believe this would be a great exit strategy.
    Based on this my opinion, I feel that having a strong interplay with Vocaloid and video games and VR would make a Japanese company (that of Yahama)  more willing to engage in a company that shares both Musicians; as well as, Gamers (that of VR gamers).
    Does your company also have any plan(s) to expand to VR or have any plans for a gaming agenda? As all ways, thank you for your time!
    This is the quiestion I asked ElectroSpit on Republic I would like to say that: I think this is a great idea from a musician's standpoint! My question is: Do you feel that the technology and software would be able to use with Vocaloid or a similar product in the future? I understand the Midi part; however, I‘m looking at the synthesizes of vocal(s) like emulating a person's favorite singer or actor in the future. I understand that it is hard to emulate vocals.  Companies like Yahama have a strong foothold in the digital modeling world. A good example of this case be seen in Line 6  and their Helix Line (Line 6), which emulation guitars amps, and their guitars line: Variax (that emulates other guitars. Line 6 and Vocaliods are subsidiaries of Yahama. In an early comment on Republic, which is what I based my question on, I believe this would be a great exit strategy. Based on this my opinion, I feel that having a strong interplay with Vocaloid and video games and VR would make a Japanese company (that of Yahama)  more willing to engage in a company that shares both Musicians; as well as, Gamers (that of VR gamers). Does your company also have any plan(s) to expand to VR or have any plans for a gaming agenda? As all ways, thank you for your time!
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  • Good morning... Modeling the dog ????
    Good morning... Modeling the dog ????
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