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Video Gallery

Video Gallery

Explore our collection of demos, tutorials, conference talks, and product walkthroughs. See our solutions in action and learn from our experts.

AI Demos

12:34

Multi-Agent AI Platform Demo

Watch our multi-agent AI platform orchestrate complex workflows, from document analysis to automated decision-making across enterprise systems.

8:15

On-Premise LLM Inference Benchmark

Performance benchmarks of running LLaMA, Mistral, and other open-source LLMs on our custom AI workstations with NVIDIA RTX 4090 GPUs.

10:42

Computer Vision Quality Inspection

Real-time defect detection on a manufacturing line using edge AI workstations with sub-millisecond inference latency.

Product Walkthroughs

15:20

Workstation Platform Overview

A comprehensive tour of the Workstation platform, covering project management, team collaboration, and automation features.

11:45

CRM Module Deep Dive

Detailed walkthrough of our CRM module including contact management, pipeline tracking, and AI-powered lead scoring.

9:30

DevOps Dashboard Tutorial

Setting up monitoring dashboards, configuring alerts, and managing CI/CD pipelines through the Workstation DevOps module.

Conference Talks

28:00

Building AI-First Organisations

Keynote presentation on the strategy and culture changes needed to successfully adopt AI across enterprise operations.

22:15

Kubernetes at the Edge

Technical talk on deploying and managing K3s clusters for edge AI workloads in manufacturing and retail environments.

35:00

The Future of DevSecOps

Panel discussion on integrating security into every stage of the software development lifecycle.

Tutorials

18:30

Getting Started with AI Workstation Setup

Step-by-step guide to setting up your AI workstation with NVIDIA drivers, CUDA toolkit, PyTorch, and essential ML tools.

14:20

CI/CD Pipeline with GitHub Actions

Tutorial on building a complete CI/CD pipeline using GitHub Actions, Docker, and Kubernetes for automated deployments.

25:10

Fine-Tuning LLMs on Custom Data

Practical guide to fine-tuning large language models on your own dataset using LoRA and QLoRA techniques.

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