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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

Bitdeer Al Wins 2025Al Breakthrough Awardfor MLOps Innovation with a badge

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

Digital brain graphic with circuits connecting to an LLM block

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,

Bitdeer AI graphic titled “What is Neocloud?” showing cloud servers linked to compute nodes.

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,

"Agentic Meta-Learning" graphic by Bitdeer AI with brain, AI cube, and robot icons for adaptability.

AI Applications

Agentic Meta-Learning: Adapting Task-Oriented Agents on the Fly

Imagine rolling out a customer-service chatbot that, within minutes, can switch from handling billing inquiries to troubleshooting technical issues without rebuilding its entire knowledge base. Or picture a warehouse robot that, after a handful of interactions, masters a new assembly line configuration without weeks of retraining. That’s the promise

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AI Applications

Synthetic Data for Multimodal Agent Training

In a rapidly evolving AI landscape, businesses are under growing pressure to deploy agents that can understand and respond across text, vision, and audio channels. Yet collecting, annotating, and curating real-world multimodal datasets is often costly, labor-intensive, with compliance hurdles. Synthetic data offers a compelling alternative, enabling businesses to accelerate

Bitdeer AI graphic showing a smart agent powered by memory, LLMs, and task execution

AI Applications

Stateful LLMs and AI Agents with Long‑Term Memory

The earliest chatbot models were goldfish: every new prompt wiped their memory clean; 2025 is the year they finally start acting more like elephants. By fusing large‑context language models with external memory stores, developers can now build stateful agents that remember users, projects and decisions for days, or even

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AI Applications

Composable AI Workflows: Designing Modular, Scalable AI Systems

Building successful AI solutions isn’t just about powerful models, it’s also about how those models and processes are organized. The promise of AI, streamlined operations, predictive insights, and hyper-personalized customer experiences, is undeniable. But the reality? Many organizations are grappling with rigid, siloed AI systems that are tough

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,

Integrating Symbolic Reasoning with Subsymbolic Multimodal Models

AI Applications

Integrating Symbolic Reasoning with Subsymbolic Multimodal Models

Artificial intelligence has come a long way since its early days. Today, we’re witnessing a convergence of two seemingly distinct paradigms, symbolic reasoning and subsymbolic learning. Symbolic AI, with its roots in logic and rule-based systems, offers clarity and explicit reasoning. In contrast, subsymbolic methods, such as deep neural

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: “AI Autonomy – Measuring True Agency” with a robot holding a clipboard and pencil.

AI Ethics & Governance

Foundations of Autonomy: Defining and Measuring Agency in AI Systems

As artificial intelligence becomes increasingly woven into the fabric of our daily lives, the discussion around AI autonomy, often described as “agency”, has taken on new urgency. Agency refers to the ability of an AI system to act independently, make decisions, and execute plans without constant human oversight. While we

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

A2A vs MCP visual: A2A shows agent-to-agent chat; MCP shows an agent using tools.

AI Trends & Industry News

A2A vs MCP: The Race for the Protocol of AI Agents

As artificial intelligence progresses beyond monolithic models and isolated capabilities, a new paradigm is emerging: modular, agent-based systems. These systems are designed to decompose tasks into subtasks, communicate across components, invoke tools, and access memory or APIs in a controlled and intelligent way. Two of the most promising frameworks advancing

Bitdeer AI banner introducing the Model Context Protocol (MCP) to enhance AI memory and awareness

AI Applications

What is the Model Context Protocol (MCP)?

As artificial intelligence continues to evolve rapidly, the need for better coordination, interoperability, and contextual understanding among models has never been more urgent. Enter the Model Context Protocol (MCP), an emerging specification that has quickly gained traction in AI communities and tech giants alike. By early 2025, MCP has become

Banner image showing Llama 4 Maverick on Bitdeer AI Cloud, with a llama mascot and platform interface

AI Applications

Llama 4 Deployment Now Available on Bitdeer AI Cloud

The open-source AI landscape has seen a significant advancement with the release of Llama 4 by Meta on April 5. This latest iteration of Meta's powerful large language models (LLMs) brings substantial improvements in reasoning, instruction-following, and overall performance, marking the most notable upgrade in the Llama LLM

A Retrieval-Augmented Generation (RAG) image

AI Applications

The Application of RAG in Business Knowledge Management and Decision-Making

In an era of rapid information development and increasingly intense competition, a company's success may hinge on how quickly it responds to external changes—or even on how efficiently users perceive its solutions. Ultimately, the ability to extract the most relevant and optimal information from vast amounts of

The New Era of AI Image Generation

AI Applications

The New Era of AI Image Generation: What Businesses Need to Know

March 2025 marked a turning point for AI image generation, unveiling tools that are transforming how we create and use visual content. These advancements go far beyond technical upgrades, they’re opening doors for businesses and individuals to innovate like never before. Leading the charge is OpenAI’s GPT-4o, but

Tech Transforms Life – Season 2

Bitdeer AI Featured in SGTech’s Tech Transforms Life – Season 2

Bitdeer AI is honored to be featured in SGTech’s Tech Transforms Life – Season 2, a video series that highlights the transformative power of technology across Singapore and beyond. This initiative showcases how technology is reshaping the way we live, work, and connect, offering real-world insights into innovation across various

Building Agentic Al: The Tech BehindAutonomous Intelligence

AI Applications

Key Technical Components of Achieving Agentic AI

Agentic AI represents the next evolution in autonomous systems, going beyond reactive language models to perform complex, multi-step tasks with minimal human oversight. In practice, building such systems requires a deep integration of advanced model training strategies and robust data engineering. Today, we’ll explore the core technical components necessary