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Building optimized LLM chatbots with Canonical and NVIDIA

The landscape of generative AI is rapidly evolving, and building robust, scalable large language model (LLM) applications is becoming a critical need for many organizations. Canonical, in collaboration with NVIDIA, is excited to introduce a reference architecture designed to streamline and optimize the creation of powerful LLM chatbots. This solution leverages the latest NVIDIA AI technology, offering a production-ready AI pipeline built on Kubernetes.

Unlocking Edge AI: a collaborative reference architecture with NVIDIA

The world of edge AI is rapidly transforming how devices and data centers work together. Imagine healthcare tools powered by AI, or self-driving vehicles making real-time decisions. These advancements rely on bringing AI directly to edge devices. However, building a robust architecture for diverse edge environments presents significant hurdles. This blog introduces our new reference architecture, designed to simplify edge AI deployment.

What Your Mobile Devices and Favorite Jeans Might Have in Common

We can all agree that we need our mobile devices to be as secure as possible. No one wants to be hacked. No one wants to deal with the fallout of a breach. If you’re a small business owner, you could be out of business in six months because of how hard it is to recover from a single cybersecurity incident. If you’re in charge of a larger business, you might have to clean up the damage caused from leaked data for years.

Introducing Coralogix's AI Center: Real-time AI Observability

Traditional observability wasn't built for. The reason? AI operates in shades of grey, where outcomes are non-deterministic. That's why we built the AI Center, bringing real-time AI observability to thousands of enterprises worldwide. As part of our AI Center, we built an evaluation engine, designed to oversee and detect specific issues that are most common when building AI agents. Teams can choose the evaluators they want to oversee each agent and receive live alerts and reports into specific quality, security and compliance issues.

SUSE Rancher Prime Meets Cluster API: What You Need to Know

Kubernetes has revolutionized how we deploy and manage applications, but juggling clusters across clouds and on-premises environments can quickly become a tangled mess. Different tools, inconsistent configurations‌ and manual processes drain your team’s time and energy. What if there was a way to simplify Kubernetes cluster management, bringing order to the chaos? Enter Cluster API (CAPI) and SUSE Rancher Prime.

Observo AI + AWS Security Lake: Smarter, Cost-Efficient Security Data

Security operations teams are drowning in data. The rapid increase in security events, logs, and observability metrics makes it increasingly difficult to detect threats effectively. Data volume growth leads to high storage and processing costs, inefficient threat detection, and difficulty in extracting actionable insights from noisy datasets.

Who Says Business and Pleasure Don't Mix? How to Have Some Fun While Traveling Abroad for Work

Traveling for work often entails jam-packed schedules, meetings nonstop and minimal breathing room. But business trips don't need to be all work and no play.Incorporating some leisure into your travels is not only possible, it can also be extremely beneficial in maintaining your work-life balance. From sightseeing between meetings to indulging some local cuisine there's plenty you can do to make business trips more enjoyable. In this blog, we will look at how you can combine business with pleasure without compromising your productivity.

The Future of Commercial Air Conditioning: Trends Every Business Should Know

Businesses evolve and adapt to changing climates and technologies, and the demand for efficient air conditioning solutions rises. The future of commercial air conditioning technology is being shaped by innovations aimed at improving energy efficiency and user comfort and reducing environmental impacts. Organizations must stay informed about emerging trends that can affect their operations and bottom line. From smart technologies to environmental regulations, these trends will equip businesses with everything they need to know about air conditioners.

AI Costs In 2025: A Guide To Pricing, Implementation, And Mistakes To Avoid

AI costs haven’t been a major factor in cloud computing — until now. For example, AI demands massive data processing and storage, such as for training Large Language Models (LLMs) and generative AI. Additionally, AI workloads require parallel processing, which traditional instances struggle to handle — forcing companies to invest in specialized (and expensive) GPUs to get the job done.