Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Llama 3.2 Vision 11B on the RTX 4090 24GB - 13.5GB FP8 footprint, 220ms image encode, 115 t/s decode, multi-image batching, OCR quality on UK documents and operational gotchas for…
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Production-grade deployment guide for Llama 3.1 8B on the RTX 4090 24GB: VRAM math broken down line by line, throughput…
Exhaustive deployment guide for Llama 3.1 70B AWQ INT4 on a single RTX 4090 24GB: line-by-line memory math, max-model-len calculation,…
The RTX 3090 is still the cheapest 24 GB AI GPU you can rent. The RTX 5090 is the fastest…
2026 buyer guide to the best GPU for Whisper STT and TTS (XTTS, F5, Bark): RTF tables, VRAM, decision matrix,…
Vision-language models on the RTX 4090 24GB - Llama 3.2 Vision 11B, Qwen 2.5-VL 7B, LLaVA, image+video understanding throughput, OCR,…
Both Ada Lovelace, both with 4th-gen tensor cores and native FP8, but separated by 3.6x bandwidth, 3.8x SMs and 50%…
Choosing between 24GB Ada and 16GB Blackwell: which models fit, where the throughput gaps actually matter, watts-per-token efficiency, and the…
Mixtral 8x7B AWQ on the RTX 4090 24GB - 14GB MoE weights, 12.9B active per token, 85 t/s decode, 32k…
Activation-aware INT4 quantisation with Marlin kernels turns the RTX 4090 24GB into a credible 14B-70B inference card; this is the…
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