GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Qwen 2.5 Context Length: VRAM at 4K to 128K Tokens
VRAM requirements for Qwen 2.5 7B and 72B at context lengths from 4K to 128K tokens, covering KV cache scaling and GPU selection for dedicated hosting.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Ollama on RTX 5090: Running Large Models in 32GB
The RTX 5090's 32GB GDDR7 unlocks Mixtral 8x7B, 34B models in high quality, and dual-model setups in Ollama. Full compatibility…
Ollama on RTX 4060: Budget LLM Serving Guide
Run LLMs affordably with Ollama on the RTX 4060. This guide covers which models fit in 8GB VRAM, expected performance,…
Ollama on RTX 3090: What Models Fit in 24GB?
Complete guide to which AI models run on the RTX 3090 with Ollama. Covers every model size from 7B to…
How Many OCR Pages per Minute per GPU?
GPU-accelerated OCR throughput benchmarks — pages per minute for PaddleOCR and Tesseract across six GPUs, with guidance on scaling document…
Model Sharding: Run 70B+ Models Across Multiple GPUs
A practical guide to sharding 70B+ parameter models across multiple GPUs, covering VRAM requirements, sharding strategies, configuration examples, and performance…
Mixtral 8x7B Quantization: Fitting MoE on Consumer GPUs
How to fit Mixtral 8x7B on consumer GPUs using GPTQ, AWQ, and GGUF quantisation, with speed benchmarks, VRAM tables, and…
Mistral 7B GPTQ vs AWQ vs GGUF: Speed Comparison
Benchmark results comparing Mistral 7B inference speed across GPTQ, AWQ, and GGUF quantisation formats on six GPUs, with quality and…
Mistral 7B Context Window: VRAM at 4K to 32K Tokens
VRAM requirements for Mistral 7B at different context window sizes from 4K to 32K tokens, with GPU recommendations and memory…
Mistral 7B: 1 to 64 Concurrent Requests Throughput
Mistral 7B throughput scaling from 1 to 64 concurrent requests across four GPUs — requests/sec, tokens/sec, and per-request latency at…
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