According to @hyperbolic_labs, the latest performance comparison between NVIDIA H100 SXM, H200 SXM, and HGX B200 GPUs reveals significant upgrades in memory and bandwidth that could accelerate AI and crypto trading algorithms. The H100 SXM offers 80 GB at 3.35 TB/s with up to 3.96 PFLOPS (FP8), while the H200 SXM doubles memory to 141 GB and bandwidth to 4.8 TB/s, maintaining similar compute performance. The HGX B200 further increases capacity to 180 GB with 7.7 TB/s bandwidth and up to 9 PFLOPS (FP8). These advancements are expected to enhance high-frequency trading and decentralized AI-powered crypto strategies by enabling faster data processing and model training, which could influence demand for crypto-related GPU mining and AI infrastructure. Source: @hyperbolic_labs