gpupartner.com — Workload
Hardware for serving LLMs.
Inference is a different machine than training. Throughput per dollar, latency at p99, memory headroom for context, and the ability to run multiple model sizes side-by-side all matter more than peak FLOPS.
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Real-time chat, batch summarization, retrieval-augmented workloads, each one wants a different shape. H200 SXM, B200, GB200 NVL, MI300X all win in different lanes. Tell us model sizes, concurrency, and latency expectations and we'll talk through what actually fits.