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GPU Comparisons

GPU Comparisons

Choosing the right GPU for your AI workload can make or break your project's performance and cost efficiency. Our GPU comparison guides provide real-world benchmark data from our UK-based dedicated GPU servers — not synthetic scores. Whether you're running open source LLM inference, vision model hosting, or fine-tuning workloads, these guides help you spend less and ship faster.

GPU Comparisons Apr 2026

RTX 3090 for AI Training: Is 24GB Enough?

Can the RTX 3090 handle AI training workloads? We break down what you can fine-tune, LoRA vs full training, and…

GPU Comparisons Apr 2026

RTX 4060 for AI: What Can an 8GB GPU Actually Do?

The RTX 4060's 8GB VRAM limits your AI options, but it's not useless. Here's exactly what models, workloads, and frameworks…

GPU Comparisons Apr 2026

RTX 4060 Ti for AI: The 16GB Sweet Spot?

The RTX 4060 Ti's 16GB VRAM hits a middle ground for AI workloads. Here's what models fit, how it performs,…

GPU Comparisons Apr 2026

RTX 5080 for AI: Blackwell Performance Guide

The RTX 5080 brings Blackwell architecture and GDDR7 memory to 16GB. Here's how it performs for AI inference, image generation,…

GPU Comparisons Apr 2026

RTX 5090 for AI: Is 32GB the New Standard?

The RTX 5090 combines 32GB GDDR7 with Blackwell architecture. Here's what it means for LLM inference, image generation, and AI…

GPU Comparisons Apr 2026

RTX 3050 for AI: Budget GPU Capabilities

The RTX 3050's 6GB VRAM is the most budget-friendly option for AI. Here's exactly what you can and cannot run,…

GPU Comparisons Apr 2026

24GB vs 16GB vs 8GB VRAM: Which Do You Need for AI?

Not sure how much VRAM you need? This guide maps 8GB, 16GB, and 24GB tiers to specific AI models, workloads,…

GPU Comparisons Apr 2026

Best GPU for RAG Pipelines (LangChain + LlamaIndex)

Benchmark tok/s and embedding throughput across 6 GPUs for RAG pipelines built with LangChain and LlamaIndex. Find the best GPU…

GPU Comparisons Apr 2026

Best GPU for Running Multiple AI Models Simultaneously

Benchmark throughput and VRAM usage for running LLM + embedding, LLM + TTS, and multi-model AI stacks simultaneously on 6…

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