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How Can AI GPU Computing Optimize AI Workflows? A Full-Lifecycle Guide from Model Training to Agent Deployment

AI workflows are undergoing a massive shift: moving from "can we get this model to run?" to "can we reliably deploy it to production?" Today, developers face challenges that extend far beyond model selection and inference code. Enterprise engineering teams must now piece together a sustainable

Day 0 Availability: Build Smarter Retrieval for Agents with NVIDIA Nemotron 3 Embed on Bitdeer AI Model Studio

When an AI agent gives a wrong answer, it’s easy to blame the model's reasoning. But in production agentic systems, the failure often happens one step earlier—with retrieval. If the retrieval layer misses the right passage, code file, policy, or customer-specific record, the downstream agent starts

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From Prompt to Production: What It Really Takes to Build AI That Works

Authors: Eric Si, Evelyn Xiong The Two Kinds of AI Nobody Talks About Together AI has already made several decisions on your behalf today, most of them without you noticing. The sequence your feed showed you. Whether a transaction cleared. None of those involved a chat interface. They operated as

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From AI Hype to Real Deployment: What Enterprises Are Actually Struggling With

Over the past year, artificial intelligence has rapidly transitioned from experimentation to real-world deployment. What was once considered an exploratory capability is now being embedded into core business processes across industries. Yet, despite the acceleration in model capabilities, a more fundamental challenge is emerging. The question is no longer whether

Bitdeer AI Wins "AI Cloud Platform of the Year" in 2026 AI Breakthrough Awards, Recognized as a Global Leader in AI Cloud Infrastructure

SINGAPORE, 26 June, 2026 — Bitdeer AI, part of Bitdeer Technologies Group (NASDAQ: BTDR) and a preferred NVIDIA Cloud Partner, today announced it has been the winner of “AI Cloud Platform of the Year” in 2026 AI Breakthrough Awards. The award is presented by AI Breakthrough, a leading market intelligence organization

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Day 0 Experience Frontier-Reasoning with NVIDIA Nemotron 3 Ultra on Bitdeer AI Model Studio

As autonomous agents take on increasingly complex, long-running tasks, from orchestrating multi-week coding projects to synthesizing hundreds of research sources in real time, the demands placed on the underlying reasoning model have fundamentally changed. Speed, depth of reasoning, and the ability to sustain context across extended sessions are no longer

Bring MultiModal Reasoning to Production with NVIDIA Nemotron 3 Nano Omni on Bitdeer AI Cloud

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Bring MultiModal Reasoning to Production with NVIDIA Nemotron 3 Nano Omni on Bitdeer AI Cloud

As AI agents evolve beyond text and into real-world workflows, the ability to understand information and reason across multiple modalities is becoming essential. From video and audio to documents and UI screens, modern agentic systems require models that can reason across modalities with accuracy, efficiency, and enterprise readiness. Today, we’

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Why Your OpenClaw Should Run in the Cloud, Not on Your Laptop

OpenClaw has surpassed 290,000 stars on GitHub, making it one of the most popular open-source AI Agent frameworks of 2026. A growing number of developers and tech enthusiasts are experimenting with deploying their own AI assistants locally. However, local deployment presents significant challenges in practice: service interruptions when the

Getting Started with NemoClaw on Bitdeer AI Cloud

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Getting Started with NemoClaw on Bitdeer AI Cloud

Deploy secure, production-ready AI agents in minutes with NVIDIA NemoClaw on Bitdeer AI Cloud. In this guide, you’ll learn how to quickly set up a fully sandboxed environment and run powerful models like Moonshot AI’s Kimi K2.5 through Bitdeer AI’s high-performance inference endpoints. What You'

NVIDIA OpenShell explained with a visual of a secure AI agent on Bitdeer AI Cloud

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From Safer Runtime to Scalable Agent Deployment with NVIDIA OpenShell on Bitdeer AI Cloud

Recently, the emergence of OpenClaw drew attention to a growing demand for a new class of AI systems. Often referred to as “claws,” these systems represent long-running, autonomous, self-evolving agents that can plan and execute multi-step workflows with limited user intervention. Unlike traditional AI assistants, claws are not limited to

Run your OpenShell supported agents on Bitdeer AI Cloud.

AI Trends & Industry News

NVIDIA GTC 2026: The Inference Inflection and the Rise of Agentic AI Factories

Key Highlights * The Inference Inflection: GTC keynote explained massive shift in compute demand as AI moves from pre-training to real-time agentic inference. * The NVIDIA Vera Rubin Platform: A "generational leap" featuring seven new chips (including NVIDIA Vera CPU and NVIDIA Rubin GPU) and five specialized racks designed to

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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

Installing and Configuring OpenClaw on Bitdeer AI Cloud

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Installing and Configuring OpenClaw on Bitdeer AI Cloud

OpenClaw is a powerful AI agent framework that enables you to build intelligent assistants with multiple capabilities, including web search, code execution, and integration with various AI models. With Bitdeer AI Cloud, OpenClaw can be deployed online with flexible resource allocation and usage-based pricing, making it easier to run AI

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

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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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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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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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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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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

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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.

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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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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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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

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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