Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
When the cheap Blackwell entry card is enough and when the Ada workhorse pays for itself, with concrete throughput, concurrency, watts-per-token and a 10-workload winner table.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Same 24GB VRAM, very different performance and FP8 story. A workload-by-workload winner table for choosing between the Ada AD102 4090…
How to combine the RTX 4090 24GB's two 8th-generation NVENC encoders, fifth-gen NVDEC and tensor cores in a single AI…
Pairing two RTX 4090s for tensor-parallel Llama 70B FP8 inference - VRAM split, 1.6x scaling cap explained, vLLM commands, PCIe…
Line-by-line breakdown of monthly cost for an RTX 4090 24GB dedicated server, with hidden cloud costs, volume tables, MAU break-even…
Mixtral 8x7B AWQ runs on a single RTX 4090 24GB at 85 t/s with 14GB of weights and 480 t/s…
Comprehensive RTX 4090 24GB Mistral 7B v0.3 benchmark - 215 t/s FP8, 240 t/s AWQ-Marlin, 1,260 t/s aggregate at batch…
Mistral Small 3 24B fits a single RTX 4090 24GB as AWQ INT4 with 32k context, 85 t/s decode, and…
Deep deployment guide for Mistral Nemo 12B on the RTX 4090 24GB - GQA-optimised KV math, full 128k context at…
Production deployment guide for Mistral 7B v0.3 on the RTX 4090 24GB: VRAM math, throughput by batch and quant, sliding…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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