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Running DeepSeek V4 Flash Q2 on Strix Halo 128GB
Posted inAMD Distributed Inference

Running DeepSeek V4 Flash Q2 on Strix Halo 128GB

AIfinitee belives local compute as an alternative to cloud and that the most capable open models should be runnable on hardware you actually own. This post is the recipe for…
Tags: AMD, Cluster Computing, DeepSeek, LLM Inference, Local AI, Quantization, Strix Halo
ComfyUI on AMD Ryzen AI MAX: 96 GB Unified Memory vs 16 GB NVIDIA
Posted inAMD Distributed Inference

ComfyUI on AMD Ryzen AI MAX: 96 GB Unified Memory vs 16 GB NVIDIA

At AIFinitee, we have spent months benchmarking LLM inference on our dual-node AMD Ryzen AI MAX 395+ cluster. We have measured tokens per second across MiniMax-M2 and Qwen3.5-397B. We have…
Tags: AMD, ComfyUI, LLM Inference, Local AI, Strix Halo
Speed vs. Smarts: When Bigger Models Win for Local AI Coding
Posted inAMD Distributed Inference

Speed vs. Smarts: When Bigger Models Win for Local AI Coding

At AIFinitee, we've spent months chasing tokens per second. Our two-node AMD Ryzen AI MAX cluster hits 17-20 tok/s with MiniMax-M2. Our Linux-vs-Windows benchmarks showed how your OS quietly taxes…
Tags: AMD, Benchmarking, LLM Inference, Local AI, Strix Halo
Linux vs Windows for LLM Inference: More Tokens/Second on Linux
Posted inAMD Distributed Inference

Linux vs Windows for LLM Inference: More Tokens/Second on Linux

Same GPU, different OS = different performance. See why Linux delivers 5-30% more tokens/sec than Windows across NVIDIA, AMD, and Intel GPUs.
Tags: AMD, Benchmarking, Linux, LLM Inference, Local AI, Strix Halo
AMD Ryzen AI MAX Two-Node Cluster Guide | LLM Setup (17-20 tok/s)
Posted inAMD Distributed Inference MiniMax

AMD Ryzen AI MAX Two-Node Cluster Guide | LLM Setup (17-20 tok/s)

One of the beliefs we hold at AIfinitee is that LLMs will only get bigger. Bigger LLMs will mean more memory for usage in either cloud compute or local compute.…
Tags: AMD, Benchmarking, Cluster Computing, LLM Inference, Local AI, Strix Halo
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