Tutorials
Hands-on deployment guides for AI frameworks, tools, and pipelines on dedicated GPU servers. Set up PyTorch, TensorFlow, vLLM, and more from scratch — full root access on bare metal.
PyTorch vs TensorFlow for AI Inference in 2025
Compare PyTorch and TensorFlow for AI inference on dedicated GPU servers. Benchmark speed, model ecosystem, deployment tools, and GPU utilisation to choose the right framework in 2025.
How to Migrate from Cloud GPU to Dedicated GPU Hosting
Step-by-step guide to migrating AI workloads from cloud GPU providers to dedicated GPU hosting, covering data transfer, environment setup, and…
How to Set Up LlamaIndex on a Dedicated GPU Server
Set up LlamaIndex on a dedicated GPU server for document indexing, retrieval, and RAG pipelines. Covers installation, local LLM integration,…
How to Build a RAG Pipeline with LangChain on a GPU Server
Build a retrieval-augmented generation pipeline with LangChain on a dedicated GPU server. Covers embedding models, vector stores, LLM integration, and…
How to Set Up TensorFlow on a Dedicated GPU Server
Install and configure TensorFlow with GPU acceleration on a dedicated server. Covers CUDA compatibility, pip and Docker installation methods, multi-GPU…
How to Optimise vLLM Memory Usage for Maximum Throughput
Learn how to tune vLLM memory allocation, KV cache sizing, and batch scheduling to maximise tokens per second on your…
How to Install NVIDIA CUDA on a Dedicated GPU Server
Step-by-step guide to installing NVIDIA drivers and CUDA toolkit on a dedicated GPU server running Ubuntu 22.04 or 24.04. Covers…
How to Configure Nginx Reverse Proxy for AI Inference APIs
Configure Nginx as a reverse proxy for AI inference APIs running on vLLM, Ollama, or custom servers. Covers TLS termination,…
Docker for AI: Running GPU Workloads in Containers
Learn how to run GPU-accelerated AI workloads in Docker containers using the NVIDIA Container Toolkit. Covers installation, docker-compose with GPU…
How to Monitor GPU Usage on a Dedicated Server
Set up comprehensive GPU monitoring on your dedicated server using nvidia-smi, Prometheus, Grafana, and DCGM. Track VRAM usage, temperature, power…
Explore GPU Hosting Solutions
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Browse GPU ServersPyTorch Hosting
GPU-accelerated PyTorch on dedicated servers — CUDA, cuDNN, and NVMe pre-configured.
Deploy PyTorchvLLM Hosting
High-throughput LLM serving with vLLM — deploy on dedicated GPU hardware.
Deploy vLLMOllama Hosting
Run open source LLMs with Ollama — the simplest path to self-hosted AI.
Deploy OllamaOpen 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.
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