NVIDIA's CFO stated that the company is currently experiencing accelerating demand and has raised its forecast for total AI industry spending by the end of 2030 to between $3 trillion and $4 trillion. Jensen Huang expects Vera Rubin to remain supply-constrained throughout its entire lifecycle. Management also noted that the AI industry is prioritizing R&D and investment, and the company is fully confident in achieving its $1 trillion revenue target.
On May 20, Wall Street Journal reported that $NVIDIA (NVDA.US)$ reported strong quarterly results, with both revenue and data center income exceeding market expectations, and announced a significant share buyback program along with an increase in its dividend.
During the earnings call, company management conveyed an optimistic outlook. NVIDIA’s CFO stated that current demand is accelerating and raised the forecast for total AI industry spending by the end of this decade (2021–2030) to between $3 trillion and $4 trillion.
Jensen Huang commented on the next-generation product line, Vera Rubin, describing its launch as 'off to a good start' and anticipating that supply constraints will persist throughout the product’s lifecycle, implying that strong demand will extend into the next architectural cycle.
Management also indicated that the AI industry is prioritizing R&D and investment, and the company remains fully confident in achieving its $1 trillion revenue target.
At the business segment level, NVIDIA expects CPU revenue to reach $20 billion this year and expressed confidence that it will secure sufficient supply to support sustained growth.
Competitive Landscape: Alternative inference chips remain niche
Regarding inference-specific chip approaches represented by Groq, Jensen Huang was unequivocal, stating that such chips 'will remain niche products for a considerable period,' implying that NVIDIA’s dominant position in the AI computing market faces no substantial near-term challenge.
This statement directly addresses market concerns about whether inference-stage computing demand might shift toward lower-cost, specialized chips.
On the capital expenditure trajectory of hyperscale cloud providers, Huang stated that these providers will continue to spend aggressively, and NVIDIA’s growth rate will outpace their capital expenditure growth.
He also specifically mentioned AI startup Anthropic, noting that its computing demand will be 'enormous.'
Editor/Lee