Deep dives, engineering notes, and ideas on building efficient, sovereign AI — straight from the team.
Despite the transformative potential of generative AI, its adoption in enterprises is lagging significantly. One major reason for this slow uptake is that many businesses are not seeing the expected…
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When teams evaluate AI agent platforms, “the agent can fetch a URL” sits near the top of every feature checklist — and…
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Every useful AI agent eventually hits the same wall: the model only knows what it knew at training time. Ask it about…
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Every serious agent eventually needs to do something computational — parse a file, reconcile a ledger, transform a dataset, run a model,…
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Building an AI agent has never been easier. With today’s models, a developer can wire up a prompt, attach a tool or…
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For any enterprise platform, access control is foundational. Admins, employees, and partners all operate with permissioned access across systems like CRM and…
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In 2025, enterprises invested $684 billion in AI. More than $547 billion of that — over 80% — failed to deliver the…
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Every enterprise deploying generative AI eventually arrives at the same uncomfortable realisation: the world’s best pre-built guardrails are still written by someone…
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Here is a number worth sitting with. According to McKinsey’s 2025 State of AI survey across nearly 2,000 executives and 105 countries, 88…
Read moreWe open-sourced SIMD-Bench, an open-source framework that benchmarks and profiles SIMD kernels to evaluate and compare their performance across different instruction set…
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If you’ve ever tried to share a GPU between multiple users or workloads in a Kubernetes cluster, you’ve probably heard of NVIDIA’s…
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Building plugins for vLLM allows you to tailor the system to your specific requirements and integrate custom functionality into your LLM workflows.…
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GPU sharing in multi-tenant cloud environments requires efficient resource isolation without sacrificing performance. We present FCSP (Fixed Capacity Spatial Partition), a user-space…
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AI-in-a-Box appliances have become the preferred choice for enterprises that need GenAI to run on-premises, within air-gapped environments, or under strict physical…
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We just open-sourced GPU-Virt-Bench, a comprehensive benchmarking framework for evaluating software-based GPU virtualization systems like HAMi-core, BUD-FCSP, and comparing against ideal MIG…
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Most enterprises don’t have a GPU performance problem—they have a GPU wastage problem. Clusters packed with A100s and H100s routinely run GenAI…
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As generative AI (GenAI) systems evolve from experimental tools to enterprise-grade applications, the balance between performance, cost, and safety has become a…
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In the early days of computing, machines came without an operating system. Users had to install one themselves, often requiring technical know-how.…
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The rapid rise of Generative AI (GenAI) is sparking a new wave of global change, a movement that can only be described…
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Together with NxtGen Cloud, we’re excited to introduce M for Coding — a coding assistant launched under NxtGen Cloud’s M GenAI platform…
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Over the past couple of years, we’ve seen a wave of “wrapper” AI companies pop up. These are the startups that don’t…
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Ensuring that language models behave safely, ethically, and within intended boundaries is one of the most pressing challenges in AI today. That’s…
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Many GenAI initiatives shine in the pilot phase but struggle when scaled to production. A common reason is that teams often focus…
Read moreGenAI pilots are proliferating across industries, yet advancing these initiatives into full-scale production remains a major challenge. A recent MIT study revealed…
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A few weeks ago, while working on implementing a guardrail engine, I found myself staring at a performance graph that didn’t make…
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This week we published a new open-source project — Bud Symbolic AI, an open-source framework designed to bridge traditional pattern matching (like…
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Large Language Models (LLMs) are resource-intensive. Open-source models like LLaMA 2, Mistral 7B, Falcon 40B, and others offer flexibility for deployment on…
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Generative AI unlocks incredible capabilities, but it doesn’t come cheap. Training and deploying large models like LLMs or diffusion models demand massive…
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We have a major upgrade to our LLM Evaluation Framework — making it even more powerful, transparent, and scalable for enterprise AI…
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Part 1 : Methods, Best Practices and Optimisations Part 2: Guardrail Testing, Validating, Tools and Frameworks (This article) As large language models (LLMs)…
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Part 1 : Methods, Best Practices and Optimisations (This article)Part 2: Guardrail Testing, Validating, Tools and Frameworks As organizations embrace large language…
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The global AI landscape shows a significant gap in infrastructure between developed and developing countries. For instance, the United States has about…
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In the fast-moving world of Generative AI, where innovation often outpaces regulation, licensing has emerged as an increasingly critical—yet overlooked—challenge. Every AI…
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When deploying Generative AI models in production, achieving optimal performance isn’t just about raw speed—it’s about aligning compute with user experience while…
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Beyond the high costs associated with adopting Generative AI (GenAI), one of the biggest challenges organizations face is the lack of know-how…
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Generative AI adoption is skyrocketing across industries, but organizations face a critical choice in how to deploy these models. Many use third-party…
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India, being one of the most linguistically diverse nations in the world, faces a major roadblock in harnessing the full potential of…
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Open-source large language models (LLMs) have become foundational to modern enterprise AI strategies. Their accessibility, performance, and flexibility make them an attractive…
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Summary: The current industry practice of deploying GenAI-based solutions relies solely on high-end GPU infrastructure. However, several analyses have uncovered that this…
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Deepseek’s latest innovation, R1, marks a significant milestone in the GenAI market. The company has achieved performance comparable to OpenAI’s o1, yet…
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The recent launch of DeepSeek’s R1 model has made waves in the AI industry—not just for its technological advancements but also for…
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We are excited to announce the open-source release of Maxwell Task Complexity Scorer v0.2, a breakthrough in efficient instruction complexity scoring. Maxwell…
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As organizations experiment with proof-of-concept and pilot projects for enterprise-grade Generative AI applications, the primary focus often remains on developing functionality rather…
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In recent years, Generative Large Language Models have become a centerpiece in the domain of NLP, catching the attention of researchers and…
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Environmental, Social, and Governance (ESG) goals have become a top priority for most large enterprises in recent years. Stakeholders, regulators, and consumers…
Read moreMarket Landscape Technology Landscape Why x86/CPU/Non-Accelerators is preferred for Inferencing Bud Ecosystem (Technology and Models) Bud Ecosystem develops a universal runtime, inference…
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As artificial intelligence (AI) becomes an integral part of business operations, companies are increasingly leveraging powerful language models to create innovative products.…
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NOTE: This is an ongoing research and we invite fellow researchers to collaborate on this project. If you are currently working on…
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As LLMs continue to grow, boasting billions to trillions of parameters, they offer unprecedented capabilities in natural language understanding and generation. However,…
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Large Language Models, with their increased parameter sizes, often achieve higher accuracy and better performance across a variety of tasks. However, this…
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In the rapidly evolving world of artificial intelligence, large language models (LLMs) are making headlines for their remarkable ability to understand and…
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Despite the transformative potential of generative AI, its adoption in enterprises is lagging significantly. One major reason for this slow uptake is…
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In the research paper “Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting,” the authors introduce a new framework called Kangaroo designed to…
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