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Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

Jonathan Knoop, Hendrik Holtmann

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Tags: Cloud, Computer science, CUDA, LLM, nVidia, nVidia GeForce RTX 5060 Ti, nVidia GeForce RTX 5070 Ti, nVidia GeForce RTX 5090, Package

February 2, 2026 by hgpu

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Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

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Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

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PhysProver: Advancing Automatic Theorem Proving for Physics

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ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

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SeedFold: Scaling Biomolecular Structure Prediction

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Tilus: A Tile-Level GPU Kernel Programming Language

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Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

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