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TensorSharp discussion
TensorSharp reviews and mentions
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What Bunâs Rust Rewrite Tells Us About Rebuilding the AI Infrastructure Layer in C#
The article uses TensorSharp PR #81 as an example: decisions about DiT reconstruction and CUDA Graph Capture are not simply binary matters of right and wrong. They involve trade-offs among speed, memory and complexity.
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TensorSharp supports Vulkan backend
Due to high Vulkan backend demand, I update TensorSharp and release the initial version of GGML Vulkan backend by leveraging external GGML project. The native Vulkan backend will be implemented later. I tested it on Nvidia Geforce RTX 3080 Laptop GPU, and Intel(R) UHD Graphics on Windows. They all work. However, I do not have AMD GPU, so I have no way to get it tested. It's really appreciated if you have AMD GPU and would like to try it out. Any feedback and comment are welcome.
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TensorSharp.ai Review: A .NET-Native Way to Run GGUF Models Locally
TensorSharp GitHub repository
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TensorSharp: .NET Native Open Source Local LLM Inference Engine
TensorSharp I would like to share my latest open source .net native local LLM inference engine and applications. It supports many models, like Gemma4, DiffusionGemma, Qwen3.6 with multi-modal (image, vision, audio), reasoning and function tool. It can run on Windows/MacOS/Linux and fully leverage GPU's capability. The API is completely compatible with OpenAI and Ollama interface. It has on par performance than llama.cpp
- TensorSharp: Open Source Local LLM Inference Engine
- TensorSharp: Open-Source Local LLM Inference Engine
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A note from our sponsor - SaaSHub
www.saashub.com | 18 Jul 2026
Stats
zhongkaifu/TensorSharp is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of TensorSharp is C++.