Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
PaddleOCR benchmarked on RTX 4060: 28 pages/sec, VRAM usage, cost efficiency, and deployment configuration.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
PaddleOCR benchmarked on RTX 3050: 12 pages/sec, VRAM usage, cost efficiency, and deployment configuration.
YOLOv8 benchmarked on RTX 5090: 165 FPS, VRAM usage, cost efficiency, and deployment configuration.
YOLOv8 benchmarked on RTX 5080: 115 FPS, VRAM usage, cost efficiency, and deployment configuration.
YOLOv8 benchmarked on RTX 3090: 78 FPS, VRAM usage, cost efficiency, and deployment configuration.
YOLOv8 benchmarked on RTX 4060 Ti: 56 FPS, VRAM usage, cost efficiency, and deployment configuration.
PaddleOCR benchmarked on RTX 4060 Ti: 38 pages/sec, VRAM usage, cost efficiency, and deployment configuration.
LLM + TTS Pipeline benchmarked on RTX 3090: LLaMA 3 8B + Coqui XTTS-v2, concurrent performance, VRAM breakdown, and cost…
LLM + Whisper Pipeline benchmarked on RTX 5090: LLaMA 3 8B + Whisper Large-v3, concurrent performance, VRAM breakdown, and cost…
LLM + Whisper Pipeline benchmarked on RTX 5080: LLaMA 3 8B + Whisper Large-v3, concurrent performance, VRAM breakdown, and cost…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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