Unlocking New AI Performance: Benchmarking NVIDIA’s Blackwell B200 GPUs
We recently gained early access to NVIDIA’s cutting-edge Blackwell B200 GPUs and pitted them against cloud-based H100s in real-world AI tasks. Here’s what we discovered:
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Real-World Benchmarks:
- Computer Vision Pretraining with YOLOv8 + DINOv2 on ImageNet-1k.
- LLM Inference using Ollama with models like Gemma 27B and DeepSeek 671B.
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Self-Hosting Advantages:
- Our 8x B200 setup, hosted sustainably at GreenMountain in Norway, showcases substantial cost savings—operating at about $0.51 per GPU hour compared to cloud alternatives costing up to $16.10.
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Performance Insights:
- The B200 outperforms the H100 with training speeds up to 57% faster; however, inference gains are still under review due to evolving software support.
Explore our detailed benchmarks, power consumption analysis, and the case for self-hosting. Dive into the future of GPU technology and sustainability!
👉 Curious about the benchmarks? Let’s connect and share insights!
