At a time when AI has gone from science fiction to reality, touching every industry, NVIDIA is at the leading edge of change. With the launch of its new NVIDIA Blackwell architecture-powered systems, AI is about to get better, faster and more powerful than ever before – transforming industries, reinventing data centres and forever changing what is possible in AI innovation.
Whenever you think of cutting-edge innovation, odds are good you also think about the name NVIDIA. NVIDIA has once again changed the game. The company’s energy- and cost-efficient new NVIDIA Blackwell GPUs are billed as the most energy-efficient chips for AI training and inference. The NVIDIA GB200 Grace Blackwell Superchip, which features a multi-chip package design, will provide customers with ‘a huge performance boost’ of up to 30 times for their Large Language Model (LLM) inference workloads. But NVIDIA is not just innovating, it’s also accelerating towards generative AI.
The tech world is abuzz with a new alliance among international computer manufacturers promising AI solutions based on NVIDIA GPUs and Networking for ASUS, Gigabyte and Supermicro. Among other things, the collaboration underscores a transformation underway: from data centre to AI factory, mining artificial intelligence as if it were a new form of matter to be sculpted and delivered as a product.
But with Jensen Huang’s vision of an AI factory now materialising in the real world – as industries and nations partner with NVIDIA to bring Accelerated Computing to bear on their problems – NVIDIA is already reaching across an extraordinary array of offerings comprising single- to multi-GPUs to air- to liquid-cooling technologies, accentuated by its NVIDIA MGX modular reference design platform that allows accelerator-based systems to be custom-designed for a wide range of sizes and configurations.
The MGX architecture, which is extensible and modular, would help manufacturers quickly create custom versions of it, accelerating development time and reducing costs. NVIDIA also announced partnerships with CPU manufacturers such as AMD and Intel, and said that the MGX platform would evolve in conjunction with those companies. As Moore’s Law requires more sophisticated approaches to sharing resources, NVIDIA’s vision for the world is easier for the CPU giants to integrate. Making computation more efficient, designers would see it as something less exotic and more important to invest in.
Their ecosystem is a prime example of collaboration at its best – with TSMC, NVIDIA’s key semiconductor manufacturer, and a range of global electronics makers, from server racks to cooling solutions to networking, being crucial parts of the process.
Taiwan is leading the charge on Blackwell, with innovative companies and institutions leveraging it for medical breakthrough, smart manufacturing and much more. The reach of NVIDIA’s innovations are also global.
NVIDIA’s role with the Blackwell architecture is not just about hardware and software development and advances; it is about building a future where AI’s massive potentials are unlocked. With strategic alliances and a relentless push toward growth, NVIDIA is not just a part of the AI revolution; it is leading that revolution.
Underneath, NVIDIA is a visionary giant whose future is being built. The company was founded with the goal of ‘accelerating computer graphics with programmable GPUs,’ but today it’s an important part of building artificial intelligence. Work on gaming, professional visualisation, data centres and auto navigation offers proof that NVIDIA’s stellar sales growth is continuing. With the Blackwell architecture, NVIDIA creates another milestone, one that meets today’s needs and one that builds towards tomorrow, where we all will meet the future with AI at our fingertips.
And with this, NVIDIA’s unveiling of Blackwell architecture-powered systems not only marks a computing milestone but is also a signal for what’s to come — the advent of a new AI-driven world. With NVIDIA spearheading the ongoing revolution, the path forward for computing has become clear — and it’s intelligent. We have taken one giant leap toward an impossible future.
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