Imagine training an AI that spots tumors or predicts hurricanes—cutting-edge science with a side of electric shock on your utility bill. AI is hungry. Really hungry. And as models balloon and data swells, power consumption is spiking to nation-sized levels. Left unchecked, that power curve could torch budgets and bulldoze sustainability targets.
The NVIDIA H200 is redefining creative workflows by removing the performance barriers that often limit artistic ambition. In industries like media and entertainment, where latency and lag can disrupt flow, the H200’s massive memory (141GB HBM3e) and 4.8 TB/s bandwidth enable real-time rendering, fluid timeline scrubbing, and seamless AI tool integration. Creative pipelines have shifted from linear sequences to dynamic streams, demanding hardware that can keep pace. With optimized support for local AI inference, the H200 empowers creators to use tools like Runway, Firefly, and Luma without relying on cloud services—cutting costs, speeding up delivery, and protecting IP. Studios are evolving their infrastructure, using platforms like HPE, Dell, and Supermicro to scale performance without friction. More than just a spec bump, the H200 unlocks creative freedom—enabling professionals to ideate and execute simultaneously, without compromise. For those building at the edge of visual storytelling and AI, H200-based systems are the new standard.
Explore how AI is revolutionizing clean technology and driving sustainable innovation. This blog delves into key trends, advancements, and real-world applications of AI in renewable energy, waste management, and sustainable agriculture, highlighting the transformative potential and future prospects of AI-driven clean tech.
In an era where over 2.5 quintillion bytes of data are generated daily, big data is transforming industries across the board. This blog explores how sectors like healthcare, finance, retail, marketing, and manufacturing are harnessing the power of big data to drive innovation and efficiency.
Most of us recognize the term information technology as a reference to a full spectrum of technologies, including networks, computers, hardware, software, and any device that uses or transfers data. But as a department of the enterprise, IT has a history that is longer than many people realize.Here’s how IT has changed its inception and what you can expect the future of IT to look like.
IT has its roots in the communication technologies that most of us take for granted today. But arguably, the dawn of information technology as a discipline began during the first industrial revolution.
The electric telegraph was developed during the 1830s and 1840s by Samual Morse (1791-1872) and other inventors. By the early 1860s, the Western Union Telegraphy Company had laid the first transcontinental telegraph line. This new mode of communication made it possible for people to send messages across vast distances in minutes, whereas before it would have taken weeks or even months.
Realizing the value of this capability, businesses jumped on the opportunity and invested significant capital into their communications infrastructures. These investments eventually led to the deployment of business telephone systems, and then the earliest computers.
In 1943, IBM developed the first entirely electronic computing machine. At the time, the computer was big enough to fill an entire room, but it would eventually birth an entire generation of computers. In the 1950s and 1960s, IBM deployed many of the core technologies that make up the world of information technology as we know it today.
Naturally, organizations needed specialists to manage these technologies because most people weren’t familiar with how they worked and how they needed to be maintained. Furthermore, businesses needed guidance from experts, especially those who could provide an objective opinion about how to invest the company’s technology budget and how to leverage machines to generate value.Thus, the IT and IT consulting industries were born.
Relatively simple forms of artificial intelligence (AI) are already widespread. Anyone who has spoken with an automated chatbot or asked Apple’s Siri to look up directions to a restaurant has experienced an AI.
Now, evolving generative AI technologies are bringing unprecedented power to virtually anyone, even nontechnical users. Organizations across sectors are
integrating generative AI with familiar technologies, existing workflows, and our everyday lives as well.
AI is already regularly used to analyze vast data sets, so organizations can more efficiently leverage data for insights and other capabilities. AI also has a noticeable presence in almost every industry on the planet, including transportation, manufacturing, healthcare, education, media, and customer service.
Edge computing is an enterprise computing capability in which distributed computing and data storage systems are located closer to data sources to improve response times and save bandwidth. Although this may sound like a throwback to early on-premises enterprise computing systems, edge computing has only become feasible in recent years thanks to the smaller scale and affordability of computing infrastructures.
Rather than relying on a central location to run computations, such as a data center, organizations can use edge computing to analyze data at blinding speeds on location as soon as it originates. It will be an important capability for organizations that need to manage vast quantities of data at the edges of their network, such as manufacturing companies operating autonomous robots in factories.
The internet of things describes a network of physical objects—typically, devices—that contain sensors and other technologies to allow them to connect to a broader network IoT technology is a necessary component for autonomous robotics, as it allows robots to communicate with each other so they can navigate physical spaces, receive updates from other machines, and complete tasks.
That said, the potential of IoT is almost limitless. It will be a foundational technology for tomorrow’s smart factories, but it will also enable organizations of all kinds to deploy and automate many of their core functions at scale, almost instantly.The number of connected devices in the world is expected to rise significantly in the next few years, and many of the latest technologies will be IoT technologies by default.
Quantum computing refers to the use of quantum mechanics phenomena to perform computations. A quantum computer can use the quantum superposition of particles—the features of a quantum system whereby particles exist in several separate quantum states at the same time—to perform computations simultaneously instead of chronologically.
It’s too soon to say how quantum computing will change our lives, but there’s little doubt that it could unlock capabilities that even the most innovative IT experts have never dreamt of before. After all, when IBM created its first room-sized computing system, no one predicted that the average consumer would eventually hold an exponentially more powerful computer in the palm of their hand. If the power of quantum computing is unlocked, the possibilities for the IT industry are endless.
Uvation specializes in helping both private and public sector organizations deploy, manage, and optimize their technology investments. As experts in emerging technologies, we can prepare your organization for the future.
Contact Uvation today to start your IT journey.
