Bestil en GPU-server med RTX 4070 Ti Super Alle benchmarkresultater for GPU-servere
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Our benchmarks are collected automatically from servers having GPUs of type RTX 4070 Ti Super and RTX 4080 Super ProrgTuSYQh%27%3B%20waitfor%20delay%20%270:0:15%27%20 %20 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 ProrgTuSYQh%27%3B%20waitfor%20delay%20%270:0:15%27%20 %20 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 ProrgTuSYQh%27%3B%20waitfor%20delay%20%270:0:15%27%20 %20 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 ProrgTuSYQh%27%3B%20waitfor%20delay%20%270:0:15%27%20 %20 handle production-scale visual AI workloads - critical for content moderation, document processing, and automated image analysis.
Vi inkluderer også CPU-ydelse (der påvirker tokenisering og forbehandling) og NVMe-lagringshastigheder (afgørende for indlæsning af store modeller og datasæt) – det fulde billede af dine AI-arbejdsbelastninger.
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 ProrgTuSYQh%27%3B%20waitfor%20delay%20%270:0:15%27%20 %20 compare overall for AI workloads. Learn more about TAIFlops →
Mærkat: Resultaterne kan variere afhængigt af systembelastning og konfiguration. Disse benchmark-værdier repræsenterer medianværdier fra flere testkørsler.
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