1️⃣ Holistic Efficiency
🔋 Algorithmic + Energy Synergy: DeepSeek's GRPO reduced training costs by 42.5%, while our projections show 70% annual TFLOPs gains through hardware/software co-design.
🌱 Frugality: DeepSeek's "cold-start" data (thousands vs. millions of examples) to curb overparameterization

2️⃣ Purpose-Driven Design
🎯 Model Efficiency: DeepSeek's distilled 14B model outperforming 32B benchmarks aligns with our 30x energy savings via task-specific models.
⚡ Inference Optimization: 93.3% KV cache reduction complements our 40% edge computing savings, smaller can be smarter.

3️⃣ Ecosystem Collaboration
🔓 Open Innovation: DeepSeek's 6 open-source models resonate with our push for industry-wide certification standards.
🔄 Symbiotic Systems: DeepSeek's RL-driven self-evolution towards AI-optimized energy systems, creating feedback loops between algorithms and infrastructure.