A100 vs RTX 4070 Ti Super - GPU Benchmark Comparison

Bezpośrednie porównanie wydajności między A100 i RTX 4070 Ti Super across 16 standardized AI benchmarks collected from our production fleet. Testing shows the A100 winning all 16 out of 16 benchmarks, while the RTX 4070 Ti Super has no wins. All benchmark results are automatically gathered from active rental servers, providing real-world performance data.

vLLM High-Throughput Inference: A100 242% faster

For production API servers and multi-agent AI systems running multiple concurrent requests, the A100 is 242% faster than the RTX 4070 Ti Super (median across 1 benchmarks). For Qwen/Qwen3-4B, the A100 achieves 832 tokens/s vs RTX 4070 Ti Super's 243 tokens/s (242% faster). The A100 wins 1 out of 1 high-throughput tests, making it the stronger choice for production chatbots and batch processing.

Ollama Single-User Inference: A100 27% faster

For personal AI assistants and local development with one request at a time, the A100 is 27% faster than the RTX 4070 Ti Super (median across 3 benchmarks). Running qwen3:8b, the A100 generates 126 tokens/s vs RTX 4070 Ti Super's 99 tokens/s (27% faster). The A100 wins 3 out of 3 single-user tests, making it ideal for personal coding assistants and prototyping.

Image Generation: A100 81% faster

For Stable Diffusion, SDXL, and Flux workloads, the A100 is 81% faster than the RTX 4070 Ti Super (median across 8 benchmarks). Testing sd1.5, the A100 completes at 0.92 s/image vs RTX 4070 Ti Super's 1.7 s/image (84% faster). The A100 wins 8 out of 8 image generation tests, making it the preferred GPU for AI art and image generation.

About These Benchmarks of A100 vs RTX 4070 Ti Super

Our benchmarks are collected automatically from servers having GPUs of type A100 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.

Benchmarki wnioskowania LLM

Testujemy oba vLLM (Wysoka Przepustowość) i Ollama (Użytkownik Pojedynczy) frameworks. vLLM benchmarks show how A100 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.

Testy wydajności generowania obrazów

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 A100 and RTX 4070 Ti Super handle your image workloads.

Wydajność systemu

Uwzględniamy również moc obliczeniową CPU (wpływającą na tokenizację i przetwarzanie wstępne) oraz prędkość dysków NVMe (kluczową dla ładowania dużych modeli i zbiorów danych) - dający pełen obraz Twoich obciążeń związanych ze sztuczną inteligencją.

Uwaga: Wyniki mogą się różnić w zależności od obciążenia systemu i konfiguracji. Te wartości referencyjne reprezentują wartości medianowe z wielu uruchomień testowych.