Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
A practical list of AI models that actually fit in 6 GB of VRAM, covering Phi-3 mini, Llama 3.2 1B/3B, Gemma 2 2B, TinyLlama and SD 1.5, plus what doesn't.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Exact VRAM math for 8B-class LLMs at FP16, FP8 and AWQ INT4, including KV cache formulas and which GPUs fit…
Keeping inference on UK soil matters for some buyers and some regulations. What sovereignty actually means when hosting AI in…
What the UK's 2026 AI regulatory framework means for dedicated GPU hosting - transparency, risk classification, and compliance in practice.
Nomic's embedding model is small, fast, and fully open - weights, data, and training code published. A practical choice when…
DCB0129, DTAC, and DSP Toolkit - the compliance stack for AI tools serving NHS. Dedicated UK hosting is often the…
PyTorch's Fully Sharded Data Parallel is the native alternative to DeepSpeed ZeRO - often simpler to configure and increasingly the…
Black Forest Labs' FLUX Schnell is the fastest high-quality diffusion model in 2026 - 4-step generation with SDXL-beating quality. Measured…
Hourly cloud GPU pricing looks reasonable. At 365x24 utilisation the total annual cost is eye-watering. Dedicated is almost always cheaper.
A fixed monthly GPU bill turns into low per-customer infrastructure cost as you scale. Here is how to model the…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
AI Hosting & Infrastructure
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