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Benchmarks

Benchmarks

Real performance data, not marketing claims. Our benchmarks test every GPU we offer across LLM inference, image generation, OCR, and TTS workloads on dedicated GPU servers. See our tokens/sec benchmark for the latest results.

Benchmarks May 2026

Embedding Throughput on the RTX 5060 Ti 16 GB: BGE, Nomic, Multilingual

Real embedding throughput on the 5060 Ti — BGE-large, BGE-small, nomic-embed, multilingual variants. Tokens-per-second and batch tuning.

Benchmarks May 2026

Llama 3.2 11B Vision Benchmark on the RTX 5060 Ti 16 GB

Llama 3.2 11B Vision is the Meta vision-language model. Tight on a 16 GB card but works at FP8 and…

Benchmarks May 2026

PaddleOCR Benchmark on the RTX 5060 Ti 16 GB

PaddleOCR is the strongest open OCR pipeline. Real throughput numbers on the 5060 Ti for documents, receipts, and layout-heavy PDFs.

Benchmarks May 2026

Tokens Per Second Benchmark Across Every GPU We Host

Real tokens-per-second numbers for the most-deployed open-weight LLMs on every dedicated GPU we rent. The reference table for sizing decisions.

Benchmarks May 2026

Llama 3 8B Benchmark on the RTX 5060 Ti 16 GB

Real Llama 3.1 8B inference numbers on a single RTX 5060 Ti 16 GB across FP16, FP8 and AWQ-INT4 —…

Benchmarks May 2026

Qwen 2.5 14B Benchmark on the RTX 5060 Ti 16 GB

Qwen 2.5 14B is too big for the 5060 Ti at FP16 but fits at AWQ-INT4. Real benchmarks for that…

Benchmarks May 2026

YOLOv8 Benchmark on the RTX 5060 Ti 16 GB: All Variants, All Image Sizes

Real YOLOv8 inference numbers on the RTX 5060 Ti — n, s, m, l, x variants at 640×640 and 1280×1280,…

Benchmarks May 2026

Gemma 2 9B Benchmark on the RTX 5060 Ti 16 GB

Gemma 2 9B at FP16 is 18 GB — too big for a 16 GB card. At FP8 it fits…

Benchmarks May 2026

FP8 vs FP16 LLM Inference: Real Quality Comparison Across Five Models

Hardware FP8 on Blackwell promises 2× throughput at minimal quality cost. We measured the actual quality drop across five popular…

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