Model Guides
Step-by-step setup guides for specific AI models on dedicated GPU servers. From LLM deployment to vision model hosting and speech model hosting, each guide includes configuration, optimisation tips, and GPU recommendations.
Maximum LLM Size That Fits the RTX 5060 Ti 16 GB
How big can an LLM be and still fit on a 16 GB GPU? The precise model-size ceiling per quantisation strategy with concrete examples.
8B LLM VRAM Requirements: Llama 3, Qwen, Phi-3 and the Rest
Exactly how much VRAM 8B-class language models need at FP16, FP8, and AWQ-INT4 — plus KV cache for long-context deployments.
Context Budget on the RTX 5060 Ti 16 GB: How Much Context Can You Afford?
Context length costs VRAM. On a 16 GB card, the trade-off between long context, model size, and concurrent users is…
Whisper for Real-Time Transcription: GPU Sizing and Latency Budget
Whisper Large-v3 is fast enough for real-time transcription on the right GPU. Here is what real-time means in practice, what…
Coqui XTTS for a Voice Assistant: GPU Sizing and Pipeline Architecture
Coqui XTTS v2 is the leading open-weight voice cloning TTS. Here is how to build a voice assistant pipeline around…
RTX 4090 24 GB for DeepSeek-Coder V2 Lite: A Concrete Deployment Guide
DeepSeek-Coder V2 Lite (16B MoE, 2.4B active) on a single RTX 4090 24 GB — VRAM math, vLLM config, real…
RTX 4090 24 GB for Codestral 22B: Fits, Just Barely, and Here’s How
Mistral Codestral 22B at AWQ-INT4 fits on a 24 GB RTX 4090 with very tight KV cache headroom. The deployment…
Llama 3 70B INT4 VRAM Requirements: The Precise Math
Llama 3 70B at AWQ-INT4 — exactly how much VRAM, with KV cache by context length, and which GPU configurations…
Qwen 2.5 32B Self-Hosted Deployment Guide
Qwen 2.5 32B sits in the awkward 32B middle — too big for a 32 GB card at FP16, too…
Open-Weight Embedding Model Comparison: BGE, Nomic, Jina, GTE
Five leading open-weight embedding models compared on retrieval quality, multilingual coverage, and throughput. Pick by workload.
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 ServersOpen Source LLM Hosting
Deploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
Explore LLM HostingVision Model Hosting
Deploy YOLO, PaddleOCR, Stable Diffusion, and other vision models on GPU-accelerated servers.
Explore Vision HostingSpeech Model Hosting
Deploy Whisper, Coqui, Bark, and other speech models with low-latency inference.
Explore Speech HostingMultimodal Model Hosting
Vision-language models, audio-language models — deploy multimodal AI on dedicated GPUs.
Explore MultimodalTokens/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.
65 Victory Avenue
PE7 1XU, England
GPUAIR © All Rights Reserved.