Kamlesh Kumar | The Tech VIP Blog

NTRODUCTION The primary constraint limiting the pervasive deployment of advanced Artificial Intelligence models is no longer algorithmic complexity, but fundamental economics and computational efficiency. Large Language Models (LLMs), particularly those utilizing Mixture-of-Experts (MoE) architectures and the emerging paradigm of agentic AI systems, demand unprecedented levels of compute both for training and, crucially, for inference at scale. Existing infrastructure, while powerful, bottlenecks on data movement, contextual memory access, and GPU utilization for sparsely activated models. This reality has kept the token cost for high-quality inference prohibitively high for massive enterprise adoption. NVIDIA's introduction of the Rubin AI Platform represents a foundational infrastructure shift designed to resolve these core bottlenecks, promising up to a 10x reduction in AI inference token cost and requiring four times fewer GPUs to train massive MoE models compared to its predec...

Artificial Intelligence in 2026 is no longer defined by who has the biggest model. The real competition has moved one layer up — to how intelligence is orchestrated, controlled, and deployed . This is where agentic frameworks have become the most important evolution in modern AI development. If you are a developer, architect, startup founder, or tech lead asking “Which AI library should I invest in for the future?” — this article will give you a clear, practical answer. For the complete technical breakdown and architecture insights, you can also read the original post here: https://kaundal.vip/what-is-the-best-library-for-ai-in-2026/ Why the Definition of “Best AI Library” Has Changed Until recently, choosing an AI library meant picking a model framework: TensorFlow, PyTorch, or a fine-tuning toolkit. That era is over. In 2026, real-world AI systems must: Plan tasks across multiple steps Use tools like APIs, databases, browsers, and code execution Coordinate multiple AI agents with s...

Technology is moving at a velocity we’ve never seen before. From the rise of Generative AI and Vector Databases to the decentralization of the web through Blockchain, the "next big thing" is already here. I’m Kamlesh Kumar, and my journey in the tech ecosystem has always been driven by one core mission: to build scalable, intelligent solutions that solve real-world problems. As a Tech Lead and Architect, I’ve spent the last several years at the intersection of AI and Web3, exploring how these two transformative forces can work together to create a more efficient and transparent digital future. Why "VIP" Tech Matters In my work and through my digital platforms, I focus on what I call "high-impact engineering." Whether it's optimizing RAG (Retrieval-Augmented Generation) variants for AI applications or securing smart contracts on the Ethereum blockchain, the goal is the same—precision and innovation. I am excited to share that I have consolidated my res...