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AI Hosting & Infrastructure

AI Hosting & Infrastructure

AI Hosting & Infrastructure

Build production AI infrastructure on dedicated GPU servers. These guides cover networking, storage architecture, scaling strategies, and deployment patterns for running AI workloads on bare metal. From private AI hosting to multi-GPU clusters, learn how to architect GPU infrastructure that scales.

AI Hosting & Infrastructure Apr 2026

Data Parallel vs Tensor Parallel in vLLM

When to run two vLLM instances versus one vLLM instance split across two GPUs - the decision framework.

AI Hosting & Infrastructure Apr 2026

GPU Interconnect Options for AI Dedicated Servers

NVLink, PCIe peer-to-peer, and CPU-staged transfers - what actually connects the GPUs in your dedicated server.

AI Hosting & Infrastructure Apr 2026

Heterogeneous Multi-GPU Workload Split – Different Cards, One Server

Can you run an RTX 5090 and an RTX 3090 in the same chassis? Yes - and for many workloads…

AI Hosting & Infrastructure Apr 2026

Model Parallelism Without NVLink – What Actually Works

Consumer and workstation GPUs in 2026 lack NVLink. Tensor and pipeline parallelism still work over PCIe - here is how…

AI Hosting & Infrastructure Apr 2026

Model Sharding vs Batch Scaling – Which Comes First

When your workload outgrows one GPU, do you split the model or run more replicas? The decision is almost always…

AI Hosting & Infrastructure Apr 2026

Multi-GPU NCCL Tuning on Dedicated Servers

The NCCL environment variables that actually move the needle on multi-GPU inference and training without NVLink.

AI Hosting & Infrastructure Apr 2026

Multi-Tenant GPU Server Isolation Patterns

How to serve multiple tenants from one GPU server without one customer's workload starving another.

AI Hosting & Infrastructure Apr 2026

One Big GPU vs Many Small GPUs – The Architectural Debate

The case for one 96GB card versus three or four 16GB cards at similar price - which wins for which…

AI Hosting & Infrastructure Apr 2026

PCIe Lanes and Multi-GPU Performance on Dedicated Servers

x16 per card, x8, x4 - the PCIe topology of your server decides how much performance you extract from multi-GPU…

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