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.
Request Timeout Tuning on an Inference Server
Four timeout layers sit between your client and the GPU. Getting any one wrong causes mysterious cancellations. Here is the full map.
Data Parallel vs Tensor Parallel in vLLM
When to run two vLLM instances versus one vLLM instance split across two GPUs - the decision framework.
Disk Offload vs CPU Offload for LLMs
NVMe offload versus RAM offload when a model cannot fit on the GPU. Both are slow. One is worse.
Four-GPU Server Inference Architecture Patterns
Three ways to use four GPUs in one chassis, and why most teams over-invest in tensor parallel when data parallel…
Batch Size Scaling on Multi-GPU LLM Servers
More GPUs means bigger batches - but the curve is not linear and the right batch size shifts with your…
CPU-GPU Offload Strategy for 70B Models
When VRAM is tight, CPU offload lets you run models that would not otherwise fit. The cost is speed -…
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.
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…
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…
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…
Explore GPU Hosting Solutions
From the blog to your next deployment — pick the right platform for your workload.
Dedicated GPU Hosting
Bare-metal servers with a dedicated GPU, NVMe, full root access, and 1Gbps networking from our UK datacenter.
Browse GPU ServersPrivate AI Hosting
Isolated GPU infrastructure for sensitive AI workloads — no shared hardware, full data control.
Explore Private AIMulti-GPU Clusters
Scale horizontally with multi-GPU configurations for training and large-model inference.
Explore ClustersAPI Hosting
Host your own AI API endpoints on dedicated GPU servers — low latency, high availability.
Explore API HostingOpen Source LLM Hosting
Deploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
Explore LLM HostingTokens/sec Benchmarks
Real-world tokens per second data across every GPU we offer, tested on popular LLMs.
View BenchmarksReady to deploy your AI workload?
Dedicated GPU servers from our UK datacenter. NVMe storage, 1Gbps networking, full root access.
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