vLLM-Radiance
PulseAugur coverage of vLLM-Radiance — every cluster mentioning vLLM-Radiance across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Custom AI Servers Built with Radeon R9700 GPUs for Local LLM Inference
A user on Reddit shared details of a custom-built AI server designed for running large language models locally. The machine, costing approximately $10,733.91 per unit, features four ASRock Radeon AI PRO R9700 Creator GP…
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zzpanic releases final vLLM-Radiance build with GPU memory optimization
A user has released the final revision of their zzpanic vLLM-Radiance build, optimized for a single R9700 GPU. This update incorporates a startup caching feature to prevent recompilation on restarts and a functional kv-…
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Quad R9700 AI Pro GPUs achieve 17.6k tokens/sec with vLLM-Radiance
A user shared their experience achieving high performance with a quad setup of R9700 AI Pro GPUs using vLLM-Radiance. They reported reaching 17.6k tokens per second for prefill and a peak throughput of 106 tokens per se…
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Custom RDNA4 Kernels Boost Qwen3.8 Performance Up To 30x
A developer has created a custom set of kernels, named R9V, designed to optimize performance for RDNA4 graphics cards, specifically targeting AMD's R9700s. When applied to the vLLM-Radiance inference engine, these kerne…