According to @StockMKTNewz, Nvidia’s NVDA Q2 revenue history includes the following figures: 1999: 78M, 2000: 170M, 2001: 260M, 2002: 427M, 2003: 460M, 2004: 456B, 2005: 575M, 2006: 688M, 2007: 935M, 2008: 893M, 2009: 777M, 2010: 811M, 2011: 1B, 2012: 1B, 2013: 977M, 2014: 1.1B, with the post stating it also tracks net income for each Q2 since the IPO. Source: @StockMKTNewz on X, Aug 30, 2025. For crypto context, Nvidia disclosed that cryptocurrency mining demand affected its Gaming and OEM and IP segments during the 2018 to 2019 downturn, which provides a historical linkage between GPU demand and crypto cycles that traders can reference when comparing Q2 trajectories. Source: NVIDIA Q4 FY2019 results press release, Feb 14, 2019. Nvidia also introduced Cryptocurrency Mining Processor products and implemented hash rate limiters on certain GeForce GPUs in 2021, highlighting past efforts to segment crypto mining demand. Source: NVIDIA press release, Feb 18, 2021. Ethereum’s Merge in September 2022 ended GPU mining for ETH, reducing the direct GPU demand channel from Ethereum mining, which is important context when assessing any crypto-related readthrough from NVDA’s Q2 history. Source: Ethereum Foundation announcement, Sep 15, 2022.

According to Evan (@StockMKTNewz), Nvidia CEO Jensen Huang identified four positive surprises for 2025, including a significant surge in demand for reasoning AI and the rescinding of the AI diffusion rule. These developments are expected to boost demand for Nvidia GPUs, which are integral to crypto mining and AI-driven blockchain projects. The rapid enterprise adoption of AI technologies also points to increased infrastructure investment, potentially driving up related crypto tokens and blockchain stocks. Huang's statements underscore the strong linkage between AI advancements and the cryptocurrency ecosystem as both sectors increasingly converge (Source: Evan, @StockMKTNewz, May 28, 2025).

According to Hyperbolic (@hyperbolic_labs), users can access free compute resources, specifically H100 GPUs at $0.99 per hour, by referring friends and earning $5 credits per referral (source: Hyperbolic Twitter, May 21, 2025). This brings cost-effective AI inference and model training capabilities to a broader audience, directly impacting crypto mining and AI-driven trading strategies by lowering entry barriers for retail and institutional traders. Increased accessibility to powerful GPUs could lead to enhanced on-chain analytics, more efficient algorithmic trading, and drive competition among crypto projects leveraging AI (source: Hyperbolic Twitter).