NVIDIA GH200 Grace Hopper Cloud Pricing & Rental Rates

Deep Analysis

GH200 Grace Hopper NVLink-C2C Unified Memory Architecture Analysis: The GH200's defining feature is the 900 GB/s NVLink-C2C interconnect between the Grace CPU and Hopper GPU — 7x faster than PCIe 5.0 (128 GB/s). This enables coherent unified memory: the GPU can directly access the Grace CPU's 480 GB LPDDR5X without explicit CUDA memcpy. For graph neural networks with terabyte-scale adjacency matrices, this eliminates the traditional CPU-GPU data transfer bottleneck. The two-tier memory system: 96 GB HBM3 at 4.0 TB/s for hot data (model weights, active KV-cache), and 480 GB LPDDR5X at 512 GB/s for warm data (graph embeddings, large lookup tables). For Llama 70B FP8, the model fits entirely in HBM3, but KV-cache at 128k context (~32 GB) can spill to LPDDR5X with ~8x bandwidth penalty — acceptable for batch-inference where latency is not critical. For vector search workloads (BGE/E5 embeddings), the unified memory enables the Grace CPU to run the embedding model while the Hopper GPU runs the LLM, sharing a single memory pool without data copies.