V100 vs RTX 4070 Ti Super - Comparaison des performances GPU

Comparaison directe des performances entre le V100 et RTX 4070 Ti Super across 32 standardized AI benchmarks collected from our production fleet. Testing shows the V100 winning 20 out of 32 benchmarks (63% win rate), while the RTX 4070 Ti Super wins 12 tests. All benchmark results are automatically gathered from active rental servers, providing real-world performance data.

vLLM High-Throughput Inference: V100 32% faster

For production API servers and multi-agent AI systems running multiple concurrent requests, the V100 is 32% faster than the RTX 4070 Ti Super (median across 2 benchmarks). For Qwen/Qwen3-4B, the V100 reaches 231 tokens/s while RTX 4070 Ti Super achieves 243 tokens/s (5% slower). The V100 wins 1 out of 2 high-throughput tests, showing both are equally viable for production deployments.

Ollama Single-User Inference: V100 roughly equal performance

For personal AI assistants and local development with one request at a time, both the V100 and RTX 4070 Ti Super deliver nearly identical response times across 6 Ollama benchmarks. Running llama3.1:8b-instruct-q8_0, the V100 generates 83 tokens/s vs RTX 4070 Ti Super's 73 tokens/s (13% faster). The V100 wins 2 out of 6 single-user tests, making the RTX 4070 Ti Super the better choice for local AI development.

Image Generation: V100 roughly equal performance

For Stable Diffusion, SDXL, and Flux workloads, both the V100 and RTX 4070 Ti Super perform nearly identically across 16 benchmarks. Testing sdxl, the V100 completes at 9.8 images/min while RTX 4070 Ti Super achieves 14 images/min (28% slower). The V100 wins 10 out of 16 image generation tests, making it the preferred GPU for AI art and image generation.

À propos de ces benchmarks de V100 vs RTX 4070 Ti Super

Our benchmarks are collected automatically from servers having GPUs of type V100 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.

Benchmarks d'inférence LLM

Nous testons les deux vLLM (Haut Débit) et Ollama (Utilisateur unique) frameworks. vLLM benchmarks show how V100 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.

Repères de performance de la génération d'images

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 V100 and RTX 4070 Ti Super handle your image workloads.

Performance du système

Nous incluons également la puissance de calcul du CPU (affectant la tokenisation et le prétraitement) et les vitesses de stockage NVMe (essentielles pour le chargement de modèles et d'ensembles de données volumineux) - l'ensemble complet pour vos charges de travail d'IA.

Remarque : les résultats peuvent varier en fonction de la charge du système et de la configuration. Ces benchmarks représentent des valeurs médianes issues de plusieurs exécutions de tests.