NVIDIA Q1: ~79% revenue growth, $42.97B adjusted profit, Anthropic added as hyperscale customer

NVIDIA's April quarter beat expectations on every line — revenue up ~79% year-over-year, adjusted profit up 81.8% to $42.97B — but the more important number was the customer roster. Jensen Huang explicitly named Anthropic as a new frontier customer alongside OpenAI, xAI, Meta MSL and Microsoft. That confirms what infra-watchers had inferred from the Anthropic ↔ xAI $1.25B/month compute deal and Anthropic's reported Colossus2 GB200 expansion: Anthropic's training compute is now diversified across multiple GPU-rich neighbors, not just AWS Trainium.

Mechanically, NVIDIA's narrative is shifting from training to inference. Huang's CNBC interview emphasized inference workloads and a new data-center chip generation. That matters because inference economics are what enables the agentic-coding and video-gen products dominating this week (Gemini Omni, Claude Code, Antigravity) to actually be profitable at scale.

Competitive context: Hark's $700M+ Series A at a $6B valuation — with NVIDIA, Intel Capital, AMD Ventures, Qualcomm Ventures and Salesforce Ventures all participating — shows NVIDIA is also planting flags in consumer 'personalized intelligence' hardware, hedging against an AMD Ryzen AI Halo wave that r/LocalLLaMA is already debating ($3,999, 128GB onboard).

The skeptical read came from the market itself: the stock failed to rally on the print. Investors are interpreting the AI compute super-cycle as priced in and watching whether the next chip cycle and inference margins can sustain the multiple. The xAI CapEx disclosure ($12.7B in 2025, characterized as 'reckless' in the SpaceX IPO filing) hints at how fragile customer concentration could become if any frontier lab pulls back.