V100 vs RTX 4070 Ti Super - GPU Benchmark Comparison

Direct performance comparison between the V100 and RTX 4070 Ti Super across 36 standardized AI benchmarks collected from our production fleet. Testing shows the V100 winning 24 out of 36 benchmarks (67% 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 30% faster

For production API servers and multi-agent AI systems running multiple concurrent requests, the V100 is 30% faster than the RTX 4070 Ti Super (median across 2 benchmarks). For Qwen/Qwen3-4B, the V100 reaches 230 tokens/s while RTX 4070 Ti Super achieves 242 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 20 benchmarks. Testing sd3.5-medium, the V100 completes at 16 s/image vs RTX 4070 Ti Super's 64 s/image (291% faster). The V100 wins 14 out of 20 image generation tests, making it the preferred GPU for AI art and image generation.

Vision AI: V100 roughly equal throughput

For high-concurrency vision workloads (16-64 parallel requests), both the V100 and RTX 4070 Ti Super deliver nearly identical throughput across 4 benchmarks. Testing llava-1.5-7b, the V100 processes 145 images/min vs RTX 4070 Ti Super's 45 images/min (220% faster). The V100 wins 2 out of 4 vision tests, showing both GPUs handle production vision workloads equally well.

About These Benchmarks of 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.

LLM Inference Benchmarks

We test both vLLM (High-Throughput) and Ollama (Single-User) 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.

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 V100 and RTX 4070 Ti Super handle your image workloads.

Vision AI Benchmarks

Vision benchmarks test multimodal and document processing with high concurrent load (16-64 parallel requests) using real-world test data. LLaVA 1.5 7B (7B parameter Vision-Language Model) analyzes a photograph of an elderly woman in a flower field with a golden retriever, testing scene understanding and visual reasoning at batch size 32 to report images per minute. TrOCR-base (334M parameter OCR model) processes 2,750 pages of Shakespeare's Hamlet scanned from historical books with period typography at batch size 16, measuring pages per minute for document digitization. See how V100 and RTX 4070 Ti Super handle production-scale visual AI workloads - critical for content moderation, document processing, and automated image analysis.

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.

TAIFlops Score

The TAIFlops (Trooper AI FLOPS) score shown in the first row combines all AI benchmark results into a single number. Using the RTX 3090 as baseline (100 TAIFlops), this score instantly tells you how V100 and RTX 4070 Ti Super compare overall for AI workloads. Learn more about TAIFlops →

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