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

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