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Taylor Ye

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AI Applications

Build and Run Agentic AI with NVIDIA Nemotron 3 Super on Bitdeer AI Model Studio

Bitdeer AI Model Studio now supports NVIDIA-Nemotron-3-Super-120B-A12B, bringing a new open model for advanced reasoning, long-context understanding, and agentic AI development to the platform. Designed for complex multi-agent applications, Nemotron 3 Super combines strong reasoning accuracy with high compute efficiency. Developers can now explore and run this model on Bitdeer

Hack to Hire Episode 2: Turning Real-World Business Friction into AI-Driven Workflows

AI Applications

Hack to Hire Episode 2: Turning Real-World Business Friction into AI-Driven Workflows

Hack to Hire 2 has concluded earlier, but the use cases developed during the event continue to stand out. Rather than focusing on experimental models or theoretical benchmarks, the hackathon produced concrete system designs that address persistent business challenges across supply chains, retail operations, and document-heavy industries. Built within a

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AI Applications

Unlocking AI Potential with NVIDIA GB200 NVL72

The rapid advancements in artificial intelligence require cutting-edge hardware capable of handling the immense computational demands of machine learning , deep learning , and AI-driven workloads. One of the most anticipated breakthroughs in this domain is the NVIDIA GB200 NVL72, a GPU designed specifically to meet the needs of high-performance computing and

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Traditional Data Centers vs AI Data Centers: How Infrastructure Is Evolving to Support AI at Scale

Data centers have always reflected the dominant computing paradigm of their time. For many years, enterprise software, web services, and databases shaped how infrastructure was designed and operated. These workloads emphasized reliability, steady performance, and efficient resource sharing. Artificial intelligence introduces a fundamentally different demand profile. Training and deploying modern

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AI Applications

Deploying Scalable PostgreSQL Database Service on Bitdeer AI Cloud

In the era of data-driven applications and AI-powered innovations, businesses require reliable, scalable, and high-performance database solutions. To meet this growing demand, we are excited to showcase RDS (Relational Database Service) on our AI cloud platform. Designed to simplify database management while ensuring security and scalability, our RDS solution is

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AI Applications

How AI Is Scaling Intelligence Across Finance Industry

AI is becoming essential to the financial industry’s broader digital transformation goals. As data volumes rise and customer expectations shift toward immediacy, precision, and always-on service, financial institutions are recognizing AI’s potential to improve decision-making, strengthen operations, and increase the speed and quality of customer engagement. With tools,

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AI Applications

Hack to Hire: Empowering AI Innovation Through Bitdeer AI Cloud

The Hack to Hire hackathon series, jointly organized by Bitdeer AI and GECO Asia concluded the first event earlier in September, bringing together emerging engineers, developers, and data scientists to tackle real-world business challenges through AI. Over several days, participants used Bitdeer AI Cloud’s GPU virtual machines and AI

Illustration of power plants and servers symbolizing the AI power surge

AI Trends & Industry News

Power Capacity and the Future of AI

As artificial intelligence evolves into a full-scale industrial ecosystem, it is also consuming an unprecedented amount of electricity. Whether it is generative models, large language models (LLMs), or multimodal agents, their operation within data centers relies on a common physical foundation: power capacity. Behind the rapid progress of AI, energy

Title slide: “The Evolution of NVIDIA GPUs” with green AI icons.

AI Applications

NVIDIA GPU Evolution and the Road Ahead

GPUs have become the backbone of modern Artificial Intelligence (AI), High-Performance Computing (HPC), and Generative AI. NVIDIA has played a pivotal role in this transformation, evolving from a graphics accelerator vendor into the enabler of factory-scale AI platforms. Each architectural generation has been driven by one principle: resolve systemic bottlenecks

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AI Applications

Building Safe AI Agents: Why Guardrails Matter

AI agents have rapidly evolved from simple assistants into autonomous systems capable of reasoning, decision-making and acting on behalf of users. Across enterprise automation, developer tools and productivity orchestration, these agents signify a substantial step forward in AI, gaining increased decision-making autonomy and a larger sphere of influence. However, this

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AI Applications

Designing Intelligence: Agentic Patterns That Power the Future of AI

AI is evolving beyond passive text completion; It is stepping into autonomy. In this new era, systems do not just respond, they think, plan, coordinate, and act on their own. This is the realm of agentic AI. And at its core lies a set of reusable design blueprints: agentic patterns.

Small Language Models vs Large Language Models: Power, Practicality, and the Future of Agentic AI

AI Applications

Small Language Models vs Large Language Models: Power, Practicality, and the Future of Agentic AI

As language models become increasingly central to modern AI applications, particularly within agentic systems, the ongoing pursuit of ever-larger models is prompting a new question: could smaller models provide a smarter and more efficient alternative? While Large Language Models (LLMs) are widely praised for their broad capabilities, growing evidence suggests

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AI Applications

AI Infrastructure: Building the Backbone for AI Agents

Much of the AI narrative today revolves around consumer tools or futuristic fears. In reality, the technology is already reshaping everyday business workflows.In the real world, advanced software is already working quietly behind the scenes — answering customer queries, booking appointments, summarizing reports, flagging anomalies, and even automating parts of

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AI Applications

Deploying Foundation Models with a Click: Exploring NVIDIA NIMs on Bitdeer AI

As artificial intelligence transitions from prompt-based tools to autonomous systems, the need for scalable and modular infrastructure becomes essential. NVIDIA Inference Microservices (NIMs) offer a streamlined solution to this challenge, enabling developers and enterprises to deploy powerful open-source foundation models quickly and reliably. Bitdeer AI is an officially licensed partner

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Bitdeer AI Wins 2025 AI Breakthrough Award for MLOps Innovation

Singapore, July 1, 2025 (GLOBE NEWSWIRE) – Bitdeer AI, part of Bitdeer Technologies Group (NASDAQ: BTDR) and a fast-growing AI neocloud platform, is proud to announce that it has been presented with the MLOps Innovation Award by AI Breakthrough. The 2025 AI Breakthrough Awards, now in their eighth year, are presented

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Data Science & Machine Learning

Think in Parallel: How Multiverse is Reimagining Language Model Reasoning

Large language models are becoming the driving force behind modern AI systems, but their generation process remains constrained by the mainstream "autoregressive" mechanism. This word-by-word linear generation is simple and effective but inherently unsuitable for handling complex structures and multi-path reasoning tasks. As model sizes grow, computational demands

banner with text 'The AI agent economy is coming' and a robot surrounded by icons for healthcare, law, coding, and support.

AI Trends & Industry News

The Rise of AI Agents: From Foundation Models to Autonomous Workflows

By 2025, the AI landscape has shifted from a focus on ever larger models to the practical deployment of AI agents, autonomous systems that reason, plan, and execute tasks with minimal human oversight. At Sequoia Capital’s AI Ascent 2025, a central theme emerged: the future lies not in more

Bitdeer AI graphic highlighting scalable neocloud GPU performance, low-cost pricing, and AI-optimized infrastructure.

AI Applications

How Neocloud is Delivering Real Business Value: From LLMs to Real-Time AI

In the fast-evolving landscape of AI-driven innovation, businesses are turning to neocloud providers to power their computational needs. Unlike traditional hyperscalers like AWS, Azure, or Google Cloud, neocloud platforms specialize in GPU-as-a-Service (GPUaaS), offering tailored infrastructure for AI and machine learning workloads. With a focus on cost efficiency, high performance,

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AI Applications

The Rising of Neocloud in the AI Industry and Its Implications

The rapid advancement of artificial intelligence is fundamentally reshaping how enterprises operate, innovate, and compete. From large-scale model training to real-time inference, the computational demands of AI workloads are growing at an unprecedented rate. While traditional cloud giants or hyperscalers, like AWS, Google Cloud, and Microsoft Azure continue to dominate,

From Narrow AI to AGI: The Roadmap to General Intelligence Through Reasoning

AI Trends & Industry News

From Narrow AI to AGI: The Roadmap to General Intelligence Through Reasoning

Artificial Intelligence (AI) has undergone a dramatic transformation in the last decade. Once confined to rule-based systems and task-specific automation, it has now permeated nearly every aspect of our daily lives. AI curates our content, powers voice assistants, diagnoses medical images, and even generates human-like text. Yet despite these advancements,

What is Multimodal AI?

AI Applications

What is Multimodal AI?

Artificial Intelligence (AI) is rapidly evolving from narrow, single-task models to more sophisticated systems capable of perceiving and reasoning across multiple types of inputs. This evolution is embodied in multimodal AI, a powerful class of AI that understands and synthesizes information from diverse data types like text, images, audio, video,

Bitdeer AI graphic: “Supercharge RAG Performance” showcasing architecture, retrieval, and reasoning with a glowing RAG stack.

AI Applications

Beyond Basics: Advanced Techniques to Supercharge RAG Performance

In our previous blog, we introduced the fundamentals of Retrieval-Augmented Generation (RAG)—a hybrid architecture that combines the strengths of large language models (LLMs) with retrieval mechanisms to enhance factual accuracy and ground responses in external knowledge. While the basic RAG framework opens the door to powerful AI applications, production-grade