DeepSeek-V4-Flash Benchmarks, FlashRT CUDA Runtime, & V100 LLM Performance

Short summary

DeepSeek-V4-Flash achieves 85.5 tokens/sec at 524K context using W4A16+FP8 quantization and speculative inference on professional hardware. FlashRT, a CUDA-first runtime, rebuilds transformer inference at the hardware level for ultra-low-latency real-time deployment. Used NVIDIA V100 server GPUs ($200) outperform consumer RTX 3060 cards for local LLM inference, offering exceptional cost-performance.

• •DeepSeek-V4-Flash: 85.5 tok/s at 524K context using W4A16+FP8 quantization and MTP speculation
• •FlashRT: CUDA-first runtime optimized for real-time transformer inference with minimal framework overhead
• •V100 opportunity: $200 used server GPU outperforms RTX 3060 for local LLM workloads

Generated with AI, which can make mistakes.