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A detailed analysis of how NVIDIA GPU programming evolved from Volta to Blackwell, highlighting the shift from synchronous thread models to asynchronous dataflow and the challenges of feeding Tensor Cores. The article discusses new hardware features like TMA, TMEM, and tcgen05 MMA, and shows how modern kernels like FlashAttention-3 and FlashMLA exploit these changes for higher utilization.
This blog post provides tips and benchmarks for achieving nearly 200 tokens per second inference on DeepSeek V4 Flash using vLLM on a dual GH200 workstation, highlighting the use of a quantized checkpoint from Canada-Quant and tensor parallelism optimizations.