Bare Metal vs Shared GPU Infrastructure: What Actually Matters in Production

Bare metal vs shared GPU infrastructure: understand the real impact on performance, consistency, and scalability for production AI workloads, and when dedicated infrastructure becomes essential.

The Real Cost of Running RTX 5090 at Scale: What AI Teams Need to Know

Understand the real cost of running RTX 5090 GPUs at scale. Learn how data movement, idle compute, and infrastructure design impact AI training economics for modern generative AI workloads.

When You Should Choose An H100: A Practical, Technical Guide for AI, VFX, and Media Workloads

A practical technical guide on when to choose NVIDIA H100 GPUs for large-scale AI, multimodal models, distributed training, and high-performance media pipelines.

Moving Your Transcoding Solution to the Cloud with the NVIDIA RTX 4000 Ada

A balanced GPU for modern cloud transcoding, the NVIDIA RTX 4000 Ada delivers hardware-accelerated AV1, high stream density, and consistent performance for live and VOD workflows. Learn how migrating your transcoding pipeline to 1Legion ensures predictable costs, elastic scaling, and infrastructure built specifically for media workloads.

The Smarter Way to Scale Generative AI Workloads

Learn how to build scalable, high-performance generative AI infrastructure with bare-metal RTX 5090 GPUs — transparent, predictable, and built for speed.

RTX 5090 vs RTX 4090: The Next Leap in AI GPU performance