TensorSharp, a new inference engine, has added support for the recently released MiniMax-M3.1-Flash model. Benchmarks conducted on eight NVIDIA A40 GPUs show TensorSharp significantly outperforming a tested llama.cpp branch, particularly with long prompts. For instance, with a 64K context, TensorSharp achieved 2,567 tokens/second for prefill, a nearly tenfold increase over llama.cpp's 262 tokens/second, and reduced server time to first token from 293.4 seconds to 40.0 seconds. The engine supports GGUF inference, vision capabilities, tool calling, and speculative decoding. AI
IMPACT This release offers significant performance improvements for running large language models locally, particularly for users with substantial hardware.
RANK_REASON This is a new inference engine release and benchmark for an existing model, not a frontier model release from a major lab.
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