RTX 4070 Ti Super vs V100 - GPU Benchmark Comparison

Direct performance comparison between the RTX 4070 Ti Super and V100 across 16 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4070 Ti Super winning 5 out of 16 benchmarks (31% win rate), while the V100 wins 11 tests. All benchmark results are automatically gathered from active rental servers, providing real-world performance data.

vLLM High-Throughput Inference: RTX 4070 Ti Super roughly equal performance

For production API servers and multi-agent AI systems running multiple concurrent requests, both the RTX 4070 Ti Super and V100 perform nearly identically across 1 vLLM benchmarks. For Qwen/Qwen3-4B, the RTX 4070 Ti Super achieves 243 tokens/s vs V100's 231 tokens/s (5% faster). The RTX 4070 Ti Super wins 1 out of 1 high-throughput tests, making it the stronger choice for production chatbots and batch processing.

Ollama Single-User Inference: RTX 4070 Ti Super roughly equal performance

For personal AI assistants and local development with one request at a time, both the RTX 4070 Ti Super and V100 deliver nearly identical response times across 3 Ollama benchmarks. Running gpt-oss:20b, the RTX 4070 Ti Super generates 120 tokens/s vs V100's 113 tokens/s (6% faster). The RTX 4070 Ti Super wins 2 out of 3 single-user tests, making it ideal for personal coding assistants and prototyping.

Image Generation: RTX 4070 Ti Super roughly equal performance

For Stable Diffusion, SDXL, and Flux workloads, both the RTX 4070 Ti Super and V100 perform nearly identically across 8 benchmarks. Testing sd3.5-medium, the RTX 4070 Ti Super completes at 0.98 images/min while V100 achieves 1.2 images/min (21% slower). The RTX 4070 Ti Super wins 2 out of 8 image generation tests, making the V100 the better choice for Stable Diffusion workloads.

About These Benchmarks of RTX 4070 Ti Super vs V100

Our benchmarks are collected automatically from servers having GPUs of type RTX 4070 Ti Super and V100 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 Inference Benchmarks

We test both vLLM (High-Throughput) and Ollama (Single-User) frameworks. vLLM benchmarks show how RTX 4070 Ti Super and V100 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.

Image Generation Benchmarks

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 4070 Ti Super and V100 handle your image workloads.

System Performance

We also include CPU compute power (affecting tokenization and preprocessing) and NVMe storage speeds (critical for loading large models and datasets) - the complete picture for your AI workloads.

Note: Results may vary based on system load and configuration. These benchmarks represent median values from multiple test runs.