According to NVIDIAAIDev, a single NVIDIA DGX B200 server equipped with eight Blackwell GPUs has set a new world record by generating over 1,000 tokens per second per user on the Llama 4 Maverick model, the largest and most powerful in Meta's Llama 4 family (source: @NVIDIAAIDev on Twitter, May 23, 2025). This breakthrough in AI inference speed significantly boosts computational efficiency, which is likely to accelerate AI-driven crypto trading strategies and enhance the performance of decentralized AI protocols. The new performance benchmark may drive demand for AI-related crypto tokens and impact the valuation of blockchain projects integrating advanced machine learning models.

According to @KookCapitalLLC, there is growing demand for decentralized AI platforms similar to ChatGPT or Grok that utilize proof-of-work (PoW) blockchains, where mining is performed by contributing computational resources. Currently, projects like Bittensor (TAO) and Gensyn are leading this space by enabling decentralized machine learning networks that reward participants for compute power, as confirmed by Bittensor's official documentation and recent market analysis from CoinDesk. These platforms aim to address privacy and data monetization concerns found in centralized AI services, making them increasingly relevant for crypto traders monitoring emerging use cases and token utility in the AI and blockchain sectors (source: CoinDesk, Bittensor docs).