RLHF on AMD GPUs: deployment with ROCm 7.0
An AMD article published on March 2, 2026 describes using verl for RLHF training on AMD GPUs, with ROCm optimizations and Docker scripts, and presents throughput and convergence results.
Source: Executando treinamento de RLHF com verl em GPUs AMD e ROCm 7.0 (rocm.blogs.amd.com). Text prepared with AI from this source.
What happened and what to do
In an article published on March 2, 2026, AMD describes deploying verl for RLHF training on AMD GPUs. The article covers optimizations for ROCm 7.0 and Docker scripts, and presents throughput and convergence results, without specifying particular values here.
A company evaluating this infrastructure can build a reproducible benchmark using its workloads and models, measure throughput, convergence, resource consumption, and operating costs, and automate results collection. These data can help determine whether the configuration meets requirements before scaling training.
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Wendelmaques can assess infrastructure requirements and exposure, scope an evaluation of GPUs and RLHF training, and implement and operate the benchmarks, metrics collection, and monitoring dashboards.
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