86% Cheaper Edge AI Inference? How We Did It (NVIDIA RTX 4000 vs. AWS GPUs) скачать в хорошем качестве

86% Cheaper Edge AI Inference? How We Did It (NVIDIA RTX 4000 vs. AWS GPUs)

In AI, speed and cost are often trade-offs — but they shouldn't be! Make them your competitive edge. In this episode of AI at Akamai, we walk through a real-world benchmark of Stable Diffusion XL inference running on Akamai Cloud with NVIDIA RTX 4000 Ada GPUs — comparing latency, throughput, and cost against AWS A10G and T4 GPU instances. Key results: • 86% lower inference cost • 63% lower latency • 314% higher throughput Why does it matter? Because more than 80% of AI compute happens during inference — not training. Infrastructure choices directly shape your AI’s speed, cost, and scalability. In this clip: • Benchmark setup: Stable Diffusion XL on RTX 4000 vs AWS GPUs • Real numbers on latency, cost per million images, and iterations/sec • How to think about cost-per-outcome for AI inference 📥 Download the full benchmark report: AI Inference Efficiency – Spend Less and Do More (PDF): https://bit.ly/3JYLE2Z 📺 Subscribe to the series: AI at Akamai Playlist: https://bit.ly/4nXFcai ⚙️ Explore Akamai Cloud GPUs Powered by NVIDIA: https://bit.ly/3LDzkpm #NVIDIA #RTX4000 #AWS #GPU #latency #GenAI #AI #AIInference #AI #EdgeComputing #Cloudcomputing #EdgeAI #AkamaiCloud #AIInference #CloudComputing #GenerativeAI #AIInfrastructure #GPUs #Inference #AI #AkamaiInference