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Insight for: turbo3/turbo4 cache produces garbled output on NVIDIA Blackwell GPU (RTX 5070 Laptop, compute capability 12.0)

TurboQuant (turbo3/turbo4 cache types) for LLM inference, specifically its compatibility with new NVIDIA Blackwell GPUs.

Analyzed: Apr 1, 2026

This issue exposes a critical compatibility gap for TurboQuant's CUDA kernels on NVIDIA's new Blackwell architecture (sm_120). The failure to produce coherent output with `turbo3`/`turbo4` cache types, while `q8_0` functions correctly, indicates a fundamental problem with dequantization kernels on this specific hardware. This is a significant market implication: early adopters of new GPU generations will face immediate performance and reliability issues with advanced quantization techniques. SaaS providers leveraging such optimizations for cost-effective LLM inference must prioritize rapid validation and adaptation to new hardware. Failure to support cutting-edge silicon directly impacts market readiness and competitive advantage, particularly as hardware cycles accelerate.

turbo3 turbo4 cache-type-k cache-type-v garbled output repetitive output q8_0 CUDA dequantization kernels Blackwell GPU sm_120 compute capability 12.0 GGUF llama-server qwen2.5-coder:7b-instruct-q6_K

GitHub Issue

Parent Entity

turbo3/turbo4 cache produces garbled output on NVIDIA Blackwell GPU (RTX 5070 Laptop, compute capability 12.0)

State: Open