RTX 5090 vs A100 - GPU Benchmark Sammenligning

Direkte præstationssammenligning mellem RTX 5090 og A100 på tværs af 26 standardiserede AI-benchmarks indsamlet fra vores produktionsflåde. Testene viser, at RTX 5090 vinder 24 ud af 26 benchmarks (92% gevinstrate), mens A100 vinder 2 tests. Alle benchmarkresultater indsamles automatisk fra aktive lejeservere, hvilket giver real-world performance data.

vLLM High-Throughput Inference: RTX 5090 18% hurtigere

For production API servers and multi-agent AI systems running multiple concurrent requests, the RTX 5090 is 18% faster than the A100 (median across 2 benchmarks). For Qwen/Qwen3-4B, the RTX 5090 achieves 954 tokens/s vs A100's 826 tokens/s (16% faster). The RTX 5090 wins 2 out of 2 high-throughput tests, making it the stronger choice for production chatbots and batch processing.

Ollama Single-User Inference: RTX 5090 61% faster

For personal AI assistants and local development with one request at a time, the RTX 5090 is 61% faster than the A100 (median across 8 benchmarks). Running llama3.1:8b, the RTX 5090 generates 264 tokens/s vs A100's 154 tokens/s (71% faster). The RTX 5090 wins 8 out of 8 single-user tests, making it ideal for personal coding assistants and prototyping.

Billedgenerering: RTX 5090 31% hurtigere

For Stable Diffusion, SDXL, and Flux workloads, the RTX 5090 is 31% faster than the A100 (median across 12 benchmarks). Testing sdxl, the RTX 5090 completes at 31 images/min vs A100's 23 images/min (33% faster). The RTX 5090 wins 12 out of 12 image generation tests, making it the preferred GPU for AI art and image generation.

Vision AI: RTX 5090 29% higher throughput

For high-concurrency vision workloads (16-64 parallel requests), the RTX 5090 delivers 29% higher throughput than the A100 (median across 2 benchmarks). Testing trocr-base, the RTX 5090 processes 1976 pages/min vs A100's 1420 pages/min (39% faster). The RTX 5090 wins 2 out of 2 vision tests, making it the preferred GPU for production-scale document processing and multimodal AI.

Om disse benchmarks af RTX 5090 vs A100

Vores benchmarks indsamles automatisk fra servere med GPU'er af typen RTX 5090 og A100 i vores flåde. I modsætning til syntetiske labtests kommer disse resultater fra faktiske produktionsservere, der håndterer faktiske AI-workloads - hvilket giver dig gennemsigtige, real-world performance data.

LLM Inferens Benchmarks

Vi tester begge vLLM (Høj-gennemstrømning) og Ollama (Enkeltbruger) frameworks. vLLM benchmarks show how RTX 5090 and A100 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, og mere.

Billedgenereringsbenchmarks

Billedgenererings benchmarks dækker 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 5090 and A100 handle your image workloads.

Vision AI Benchmarks

Vision benchmarks tester multimodal og dokumentbehandling med høj samtidige belastning (16-64 parallel anmodninger) ved hjælp af virkelige testdata. LLaVA 1.5 7B (7B parameter Vision-Language Model) analyserer et fotografi af en ældre kvinde i et blomsterfelt med en golden retriever, og tester scene forståelse og visuel ræsonnement med en batchstørrelse på 32 for at rapportere billeder pr. minut. TrOCR-base (334M parameter OCR-model) behandler 2.750 sider af Shakespeares Hamlet, der er scannet fra historiske bøger med periodisk typografi ved batchstørrelse 16, og måler sider per minut for document digitization. See how RTX 5090 and A100 handle production-scale visual AI workloads - critical for content moderation, document processing, and automated image analysis.

Systemydelse

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.

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 RTX 5090 and A100 compare overall for AI workloads. Læs mere om TAIFlops →

Bemærk: Resultaterne kan variere afhængigt af systembelastning og konfiguration. Disse benchmarks repræsenterer medianværdier fra flere testkørsler.