Divyansh Rawat

Blender runs on almost anything, but it rewards the right hardware in a way few creative tools do.

You can now run a capable coding model on your own machine, with your code staying on your own disk and no per-token bill.

As hardware architects evaluating infrastructure for high-end creative pipelines, we consistently seek solutions that maximize both compute efficiency and budget.

Building high-performance computing infrastructure is fundamentally an exercise in managing thermodynamics.

When you scale LLM infrastructure for multiple users, you face a decision:

At first glance, a personal computer (PC) and a server appear to do the exact same job.

Deploying Large Language Models (LLMs) in production environment requires a deep understanding of memory architecture.

Building the right environment for Siemens software ensures your designs compile instantly and your 3D models rotate with perfect fluidity.

I love the current era of open-source video generation.

The evolution of artificial intelligence relies entirely on hardware architecture.