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Nvidia dominated AI training, but inference is a different game. When inference costs become 15–118× more than training (OpenAI's actual 2024 numbers), the only metric that matters is cost-per-million-tokens. Google TPUs deliver 4.7× better performance-per-dollar and 67% lower power consumption. Anthropic, Meta, and Midjourney have already made the switch. Here's the full breakdown.

Nvidia's AI empire is crumbling. Google's TPUs now deliver 4x better performance-per-dollar for inference, the workload consuming 75% of AI compute by 2030. Midjourney slashed costs 65% by switching. Meta's negotiating multibillion-dollar TPU deals. Even Wall Street legends like Peter Thiel and Michael Burry are dumping $6B+ in Nvidia stock. The inference era has arrived, and specialized ASICs are winning.

Anthropic just unleashed Claude Opus 4.5 on November 24, 2025, claiming the crown as the world's best AI model for coding and agents. With an 80.9% score on SWE-bench Verified, it outperforms both GPT-5.1 and Google's Gemini 3 Pro while using 76% fewer tokens. At $5/$25 per million tokens (67% cheaper than Opus 4.1), it's now integrated into GitHub Copilot and Microsoft Foundry. Discover the full benchmarks, real customer results, and how it stacks up against the competition.

Can AI predict the next champion? With 75% accuracy, models are now outperforming experts. This 2025 guide reveals how to use free tools like ChatGPT, Claude, and Python to analyze the NBA, NFL, and more. From deep learning theory to copy-paste prompts, discover the ultimate edge in sports analytics.