According to @hyperbolic_labs, the H200 features 141GB of HBM3e memory, a 76% increase over the H100's 80GB, enabling larger model training and more data processing while reducing slowdowns from memory swapping (source: Hyperbolic Labs). For trading relevance, the specification emphasis on 141GB HBM3e highlights a materially higher on-GPU memory ceiling for memory-bound training workloads and larger models, which is the core performance angle cited by the source (source: Hyperbolic Labs). The source does not mention cryptocurrency market impacts or related tokens (source: Hyperbolic Labs).

According to @hyperbolic_labs, the H200 GPU provides 141GB of HBM3e memory, a 76% increase over the H100’s 80GB, enabling training of larger models and processing more data with fewer slowdowns from memory swapping, source: @hyperbolic_labs. For trading analysis, the cited 141GB on-GPU memory capacity and 76% uplift are concrete specs that reduce swapping bottlenecks during AI workloads and serve as trackable inputs for AI-compute demand narratives followed by crypto-market participants, source: @hyperbolic_labs.