Articles on AI & ML.

Forecasting models, computer vision, LLM agents — integrated directly into business workflows, not shelved POCs.

How important are VRAM and HBM in AI infrastructure: from inference to fine-tuning

When choosing AI infrastructure, FLOPS usually gets mentioned first — but in practice, VRAM capacity and HBM bandwidth are often what determine which models can run, at what batch size and latency. How to size VRAM for production, why HBM differs from GDDR, and when you need multiple GPUs.

15/06/20267 min read

AI & MLQwen3-VLComputer VisionOCR

Deploying Qwen3-VL for computer vision in production: from OCR to visual inspection

Qwen's latest Vision-Language Model unlocks a class of computer vision problems that traditional OCR and CV pipelines struggle with — but production deployment requires a different mindset than calling a demo API. Use-case selection criteria, model sizing, and how we integrate it into Pilot Builds at KonexForge.

10/06/20267 min read

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