Empirical Comparison of NVIDIA H100 and B200
Explore the performance leap of the Blackwell architecture. This report demonstrates how a single NVIDIA B200 node delivers up to 4× higher cost-effectiveness for LLM pre-training compared to H100 configurations.
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Practices in Large-Scale Distributed GPU Configurations
Benchmarking performance on a 64× NVIDIA H100 cluster. Learn how to achieve 3x better cost-performance for massive model inference and optimize 8-node distributed training environments.
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Case Study: Optimizing Ore Blending with Quantum-Inspired Technology
Optimizing Copper Ore Blending with Fixstars Amplify’s Quantum-Inspired Annealing Technology
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Case Study: Sony Honda Mobility Inc.
Improving GPU utilization and fostering cost awareness in AI model training with Fixstars AIBooster
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Revolutionizing AI Development Efficiency Through GPU Optimization with Fixstars AIBooster
A hands-on guide to overcoming the hidden GPU-utilization challenges most companies miss, with actionable strategies to boost AI efficiency.
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NVIDIA H200: AI Acceleration and Performance Engineering in Practice
This white paper explores proven methods to harness the full power of the latest GPUs and accelerate real-world AI workloads.
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