Every day, we see a new story about the astounding advancements in Artificial Intelligence (AI) but what is really driving all the buzz? Looking beyond the hype, let’s talk about the “AI Tech Stack”. This stack is a multi-layered framework of hardware and software that provides the engine powering this technology revolution, driving innovative applications and presenting the capability to unlock massive value across every industry.
Layer One: Computing Hardware
At the foundation of this new tech stack lies NVIDIA’s groundbreaking graphics processing unit (GPU) hardware. These GPUs are specifically designed with the needs of AI in mind, providing the computational speed and efficiency needed to train and fine-tune massive, large language models.
Layer Two: Cloud Infrastructure
Moving up the stack, we have the hyperscalers – massive data center operators like Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, etc. These giants are voracious consumers of NVIDIA’s GPUs, deploying them at massive scale in data centers worldwide. Hyperscalers’ role is crucial as they provide the physical infrastructure required to support AI’s increasing demands, including massive amounts of power.
Layer Three: Language Models
On top of the hardware and infrastructure layers are the large language models (LLMs), like those developed by OpenAI, Meta, Anthropic, plus Google, AWS and Microsoft themselves. These LLMs are reshaping the technology industry and require the massive computational power of NVIDIA’s GPUs and the hyperscalers’ data centers to deliver unprecedented language understanding and generation capabilities. LLMs are not just technological marvels; they represent a significant leap forward in AI’s ability to understand and respond in human like ways, perform a wide range of tasks, and more.
Layer Four: Business Applications
While the foundational layers of the AI tech stack provide the necessary infrastructure and computational power, the real magic happens when innovative developers and strategic enterprise data are brought into the mix. By building on top of the AI tech stack, developers can create applications that leverage highly valuable enterprise data, which is fundamentally the fuel to drive business-specific AI applications. Developers can integrate this business-specific data, like customer interactions, market trends, and operational metrics, to build AI based applications that deliver even greater value. This process enables businesses to personalize customer experiences, optimize business processes, and enhance their decision-making. While Layer One and Layer Three tend to get the most hype, Layer Four is really where innovation is realized.
Looking ahead, the AI tech stack is poised for further evolution, promising even greater business transformation in the years to come. As technology advances, we can anticipate more efficient and powerful hardware, more specific LLMs, and even more innovative applications developed by a thriving and skilled community of developers. Here at Alianza, we are building AI powered applications that utilize the intelligence flowing over meetings and telephone calls to do things like prevent fraud or increase the efficiency of knowledge workers.
The next frontier of AI involves deepening the integration of AI capabilities with enterprise data, enabling even more impactful applications and enhanced business value. As we navigate this exciting new world, Alianza is poised to leverage these advancements to deliver cutting-edge solutions. To explore how AI can transform your business, reach out to our team today and discover the possibilities.
