BRHosting Blog
News, tutorials, and infrastructure insights from our engineering team
AI Infrastructure Deployment: From Development to Production in 2026
Guide to deploying AI infrastructure from development through production. GPU server selection, training configurations, and why bare metal outperforms cloud for AI workloads.
Why Businesses Are Leaving the Cloud for Bare Metal in 2026
The cloud repatriation trend explained. Cost savings, performance, privacy, and policy independence driving businesses back to bare metal servers.
NVIDIA H100 GPU Server Hosting: Everything You Need to Know
Complete guide to NVIDIA H100 GPU server hosting. Specifications, configuration tips, cost optimization, and choosing between cloud and dedicated GPU infrastructure.
Cloud Repatriation: When Moving Workloads Back On-Premises Makes Sense
When and how to repatriate cloud workloads to on-premises infrastructure for cost savings while maintaining cloud-native operational practices.
Serverless GPUs: On-Demand AI Inference Without Infrastructure Management
How serverless GPU platforms enable on-demand AI inference with zero infrastructure management and per-second billing.
Multi-Cloud Networking with Aviatrix and Cloud Interconnects
Building reliable multi-cloud network architectures with Aviatrix transit networking and cloud interconnect services.
FinOps for Cloud AI: Controlling GPU Compute Costs
Practical FinOps strategies for managing and reducing GPU cloud computing costs across AI training and inference workloads.
Cloud-Native AI Inference at the Edge with Kubernetes
How Kubernetes enables scalable AI inference deployments at the edge, combining GPU scheduling with lightweight orchestration.
WebAssembly on the Server: A New Runtime for Cloud Computing
WebAssembly on the server offers microsecond startup times and strong sandboxing, emerging as a lightweight alternative to containers for serverless and edge workloads.