DataFibers

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We actively support development/deployment requests on DataFibers and queries on big data use cases.

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From our blog

Here, we are sharing our experience and best practice of using DataFibers as well as other big data technology.

Gemini's Inner Workings: A Deep Dive into Tensor Processing and Model Parallelism

on August 2, 2026

The advent of large language models (LLMs) like Google’s Gemini has revolutionized what’s possible in AI. While much attention is paid to their impressive capabilities, the underlying infrastructure and architectural patterns that enable them are a testament to cutting-edge engineering. This post dives deep into the “under-the-hood” aspects of Gemini, focusing on the specialized hardware for tensor processing and the intricate strategies employed for model parallelism. The Tensor Processing Engine: Beyond the CPU At the heart of any LLM’s ability to perform complex calculations lies its proficiency in handling tensors.

Deep-Dive into DeepSeek's MoE Architecture for LLMs

on July 29, 2026

Unpacking DeepSeek: The Power of Sparse Mixture-of-Experts in Large Language Models The landscape of Large Language Models (LLMs) is continuously evolving, with new architectures and training methodologies pushing the boundaries of what’s possible. Among the rising stars in the open-source community, DeepSeek models have garnered significant attention, particularly for their innovative application of the Mixture-of-Experts (MoE) architecture. This deep dive will go beyond mere performance metrics, dissecting the ‘under-the-hood’ mechanisms that make DeepSeek models both powerful and efficient.

Under the Hood: Deconstructing AiAgent Architectures for Autonomous Systems

on July 26, 2026

The proliferation of Large Language Models (LLMs) has ushered in a new era of intelligent automation, culminating in the rise of AiAgents. More than just wrappers around LLMs, AiAgents represent a paradigm shift towards autonomous, goal-oriented systems capable of perception, reasoning, action, and continuous learning within dynamic environments. This deep-dive post, tailored for the DataFibers Community, will peel back the layers, exploring the architectural patterns, “under-the-hood” mechanics, and practical implementation challenges of building robust AiAgents.

Deep Dive: Azure Virtual Network Peering, Service Endpoints, and Private Link

on July 22, 2026

The Azure Virtual Network (VNet) is the foundational building block for your private network in the cloud. While many are familiar with its basic capabilities like subnets, NSGs, and VPN gateways, true mastery of Azure’s networking requires understanding its more advanced features. This deep-dive explores the ‘under-the-hood’ mechanisms of VNet Peering, Service Endpoints, and Private Link, revealing how they enable secure, efficient, and scalable network architectures. We’ll move beyond generic overviews to dissect their architectural implications, practical implementation challenges, and how they solve real-world connectivity problems.

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Know more about DataFibers?

From our blog

Gemini's Inner Workings: A Deep Dive into Tensor Processing and Model Parallelism

Deep-Dive into DeepSeek's MoE Architecture for LLMs

Under the Hood: Deconstructing AiAgent Architectures for Autonomous Systems

Deep Dive: Azure Virtual Network Peering, Service Endpoints, and Private Link

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