Who is NVIDIA? And why our new collaboration matters

From GPUs to an AI Ecosystem  

NVIDIA GPUs (Graphical Processing Units), were designed to handle the millions of tasks needed to create seamless interactive video gaming experiences, particularly for multi-player on-line and real-time play. This capability makes GPU’s perfect for training large-scale AI models and (as importantly) generating answers using these models – known as Tokens or inference. 

A single GPU can generate 1.5 million answers per second and the largest GPU arrays will have 200,000 GPUs running together – that’s 300bn answers per second! This means we can now begin to solve complex problems seen in areas like drug discovery, robotics, digital-twins and complex automation, as well as the common problems that exist in every organisation.  

Next, NVIDIA built an entire ecosystem - AI frameworks, developer tools, networking, and cloud platforms. Today, NVIDIA isn’t just a chipmaker; it’s an AI infrastructure powerhouse enabling businesses to innovate faster and smarter, solving problems that were previously unsolvable 

Now you’re interested, right? And you should be. 

What does it mean for businesses? 

AI is the 4th industrial revolution, and NVIDIA is building the new generation of engines that power it. This technological leap will impact everyone – and it’s accelerating. So it’s the AI-enabled among us who will succeed. 

Here are some of the ways that the NVIDIA accelerated architecture gives businesses an advantage: 

• Real-time decisions: Imagine every industry able to make accurate decisions in milliseconds, giving better control, optimising processes and handling more complex business logic.   NVIDIA platforms cut decision times from days to minutes. 

• Cost and speed: Accelerated computing has reduced the cost of generating answers from AI systems from $20 per million answers to 40 cents per million answers and costs are still falling year on year. This means every organisation can now use advanced models to solve complex problems at scale. 

• Next-gen automation: With platforms like NVIDIA Isaac and Omniverse, companies can deploy autonomous robots, digital twin factories, and simulation-based training environments. 

• A usable and Unified AI Architecture: NVIDIA’s architecture gives AI Engineers, Developers and Enterprise Architects the tools to build and scale AI securely and efficiently, responding to the evolving needs of every enterprise 

NVIDIA owns 70–80% of the global AI accelerated computing market, making its platform the de facto standard for enterprise AI. Every major cloud provider and millions of application enterprises rely on NVIDIA technology. 

Where do skills come in? 

NVIDIA and QA understand that the biggest barrier to AI adoption isn’t technology - it’s skills. The best tools in the world mean very little if you don’t have the skills to use them; that’s a bad investment. This is why global leaders - from BMW to Deloitte – already invest in NVIDIA training to stay competitive. 

QA are here to fuse NVIDIA certification, with excellence in training delivery, to scale and accelerate learning, ensuring business success and a lasting talent pipeline for a stronger digital future. 

Businesses that embrace NVIDIA certified training can innovate faster, automate smarter, and compete in an AI-driven economy. QA will help you do it.