7900 XTX

• 7900 XTX + ROCm: Llama.cpp vs vLLM Benchmarks

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  After a year of using the 7900 XTX with ROCm, improvements have been noted, though the experience remains less seamless compared to NVIDIA cards. A comparison of llama.cpp and vLLM benchmarks on this hardware, connected via Thunderbolt 3, reveals varying performance with different models, all fitting within VRAM to mitigate bandwidth limitations. Llama.cpp shows a range of generation speeds from 22.95 t/s to 87.09 t/s, while vLLM demonstrates speeds from 14.99 t/s to 94.19 t/s, highlighting the ongoing challenges and progress in running newer models on AMD hardware. This matters as it provides insight into the current capabilities and limitations of AMD GPUs for local machine learning tasks.

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  Read Full Article: 7900 XTX + ROCm: Llama.cpp vs vLLM Benchmarks

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  Posted on

  Jan 1, 2026

  by

  UsefulAI

  in

  Benchmarking, Commentary

  Topics: machine learning, AI development, llama.cpp