Nvidia

• Nvidia launched the Blackwell Ultra B300 GPU series on April 19, 2026, claiming 50% faster AI training speeds compared to the prior B200 model. • The new chips feature 208 billion transistors and support FP4 precision, targeting data centers for large language model workloads. • This positions Nvidia to maintain dominance amid intensifying competition from AMD and custom silicon by hyperscalers like Amazon and Google.

• Nvidia unveiled Blackwell Ultra GPUs on April 9, 2026, at GTC US keynote, delivering 50 petaflops for AI training in a single rack. • Chips target US hyperscalers with 4x inference speed over prior gen, shipping Q4 2026 at $50,000 per unit. • CEO Jensen Huang called it 'the dawn of agentic AI,' boosting Nvidia's dominance in $200B US AI hardware market.

• Nvidia CEO Jensen Huang announced at GTC 2026 that demand for the company's products will reach $1 trillion through 2027, with fulfillment only possible by 2028. • The revelation underscores explosive growth in AI hardware needs, driven by data center expansions and model training. • Nvidia also released NemoClaw, an open-source stack enhancing privacy and security for the popular OpenClaw AI agent.

• Eli Lilly announced a collaboration with Nvidia to establish a co-innovation AI lab combining computing power with scientific expertise for faster drug discovery. • The partnership targets AI applications in identifying drug candidates, optimizing clinical trials, and reducing failure rates in biotech development. • This non-tech firm's AI push exemplifies how pharma giants are leveraging partnerships to lead in AI-driven innovation beyond traditional tech sectors.

• Nvidia posted first-quarter revenue of $28.3 billion, representing a 106% year-over-year increase and surpassing Wall Street consensus forecasts by 8%, driven primarily by sustained demand for AI data center GPUs. • The chipmaker's gross margin expanded to 72.1%, the highest level in five quarters, as production efficiency gains and favorable product mix offset supply chain costs. • Guidance for Q2 revenue of $32-34 billion exceeded analyst estimates, reinforcing investor confidence in the artificial intelligence infrastructure boom and supporting semiconductor sector valuations amid broader market volatility.

• Nvidia CEO Jensen Huang announced expectations of at least $1 trillion in demand for its Blackwell and Rubin AI systems through 2027, doubling from $500 billion projected through 2026. • This projection signals over 100% annual sales growth for Nvidia amid booming data center demand. • The forecast underscores AI's role in driving U.S. tech sector expansion and GDP growth, with analysts citing non-inflationary productivity gains.

• Micron Technology reported blowout earnings results, while Nvidia issued a stunning outlook for its Blackwell and Rubin AI products, yet the broader market has not responded positively to either announcement. • Morningstar increased Micron's fair value assessment following its earnings beat, and upgraded Nvidia's fair value based on the company's AI product roadmap expansion. • The muted market response to strong tech earnings reflects ongoing concerns about macroeconomic headwinds, including geopolitical risks and Federal Reserve policy decisions that are weighing on investor sentiment.