RTX Pro 6000 Blackwell vs. RTX 4070 Ti Super – GPU-Benchmark-Vergleich

Direkter Leistungsvergleich zwischen RTX Pro 6000 Blackwell und RTX 4070 Ti Super across 17 standardized AI benchmarks collected from our production fleet. Testing shows the RTX Pro 6000 Blackwell winning 16 out of 17 benchmarks (94% win rate), while the RTX 4070 Ti Super wins 1 tests. All benchmark results are automatically gathered from active rental servers, providing real-world performance data.

vLLM High-Throughput Inference: RTX Pro 6000 Blackwell 845% faster

For production API servers and multi-agent AI systems running multiple concurrent requests, the RTX Pro 6000 Blackwell is 845% faster than the RTX 4070 Ti Super (median across 2 benchmarks). For nvidia/Llama-3.1-8B-Instruct-FP8, the RTX Pro 6000 Blackwell achieves 1997 tokens/s vs RTX 4070 Ti Super's 230 tokens/s (769% faster). The RTX Pro 6000 Blackwell wins 2 out of 2 high-throughput tests, making it the stronger choice for production chatbots and batch processing.

Ollama Single-User Inference: RTX Pro 6000 Blackwell 75% faster

For personal AI assistants and local development with one request at a time, the RTX Pro 6000 Blackwell is 75% faster than the RTX 4070 Ti Super (median across 3 benchmarks). Running qwen3:8b, the RTX Pro 6000 Blackwell generates 174 tokens/s vs RTX 4070 Ti Super's 99 tokens/s (75% faster). The RTX Pro 6000 Blackwell wins 3 out of 3 single-user tests, making it ideal for personal coding assistants and prototyping.

Image Generation: RTX Pro 6000 Blackwell 114% faster

For Stable Diffusion, SDXL, and Flux workloads, the RTX Pro 6000 Blackwell is 114% faster than the RTX 4070 Ti Super (median across 8 benchmarks). Testing sdxl, the RTX Pro 6000 Blackwell completes at 33 images/min vs RTX 4070 Ti Super's 14 images/min (143% faster). The RTX Pro 6000 Blackwell wins 8 out of 8 image generation tests, making it the preferred GPU for AI art and image generation.

Über diese Benchmarks von RTX Pro 6000 Blackwell vs. RTX 4070 Ti Super

Our benchmarks are collected automatically from servers having GPUs of type RTX Pro 6000 Blackwell and RTX 4070 Ti Super in our fleet. Unlike synthetic lab tests, these results come from real production servers handling actual AI workloads - giving you transparent, real-world performance data.

LLM-Inferenz-Benchmarks

Wir testen beides. vLLM (Hoher Durchsatz) und Ollama (Einzelbenutzer) frameworks. vLLM benchmarks show how RTX Pro 6000 Blackwell and RTX 4070 Ti Super perform with 16-64 concurrent requests - perfect for production chatbots, multi-agent AI systems, and API servers. Ollama benchmarks measure single-request speed for personal AI assistants and local development. Models tested include Llama 3.1, Qwen3, DeepSeek-R1, and more.

Benchmarks zur Bildgenerierung

Image generation benchmarks cover Flux, SDXL, and SD3.5 architectures. That's critical for AI art generation, design prototyping, and creative applications. Focus on single prompt generation speed to understand how RTX Pro 6000 Blackwell and RTX 4070 Ti Super handle your image workloads.

Systemleistung

Wir berücksichtigen auch die CPU-Rechenleistung (die Tokenisierung und Vorverarbeitung beeinflusst) und die NVMe-Speichergeschwindigkeiten (die für das Laden großer Modelle und Datensätze entscheidend sind) – das vollständige Bild für Ihre KI-Workloads.

Hinweis: Die Ergebnisse können je nach Systemlast und -konfiguration variieren. Diese Benchmarks stellen Medianwerte aus mehreren Testläufen dar.