Last week, DeepSeek unveiled their V3 model, trained on just 2,048 H800 GPUs - a fraction of the hardware used by OpenAI or Meta. DeepSeek claims their model matches or exceeds several benchmarks set by GPT-4 and Claude What's interesting isn't just the results, but how they got there. The Numbers Game Let's look at the raw figures: Training cost: $5.5M (vs $40M for GPT-4) GPU count: 2,048 H800s (vs estimated 20,000+ H100s for major labs) Parameters: 671B Training: 2.788M GPU hours Recent resear...