Order a GPU Server with RTX 4070 Ti Super All GPU Server Benchmarks
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Our benchmarks are collected automatically from servers having GPUs of type RTX 4070 Ti Super and RTX 4080 Super Pro%22%20AND%202*3*8=6*8%20AND%20%22k4Wx%22=%22k4Wx 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.
We test both vLLM (High-Throughput) and Ollama (Single-User) frameworks. vLLM benchmarks show how RTX 4070 Ti Super and RTX 4080 Super Pro%22%20AND%202*3*8=6*8%20AND%20%22k4Wx%22=%22k4Wx 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 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 RTX 4080 Super Pro%22%20AND%202*3*8=6*8%20AND%20%22k4Wx%22=%22k4Wx handle your image workloads.
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 RTX 4070 Ti Super and RTX 4080 Super Pro%22%20AND%202*3*8=6*8%20AND%20%22k4Wx%22=%22k4Wx handle production-scale visual AI workloads - critical for content moderation, document processing, and automated image analysis.
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.
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 RTX 4070 Ti Super and RTX 4080 Super Pro%22%20AND%202*3*8=6*8%20AND%20%22k4Wx%22=%22k4Wx 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.
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