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Raymond James Sets $323 Target for NVIDIA as Blackwell Orders Hit $1 Trillion Milestone

Summarized by NextFin AI
  • Raymond James raised NVIDIA's price target to $323 from $291, indicating a strong belief in the AI infrastructure cycle's lucrative second phase.
  • NVIDIA's cumulative order book for next-gen hardware is projected to reach $1 trillion by 2027, driven by significant commitments from tech giants like Microsoft and Alphabet.
  • The company's data center revenue surged to $62.3 billion, reflecting a 75% year-over-year increase, showcasing a shift towards industrial-scale AI deployment.
  • NVIDIA reported $34.9 billion in free cash flow, supporting aggressive valuations and a $58.5 billion buyback authorization, stabilizing the stock price.

NextFin News - Raymond James raised its price target on NVIDIA to $323 from $291 on March 19, 2026, a move that signals Wall Street’s growing conviction that the artificial intelligence infrastructure cycle is entering a second, more lucrative phase. The firm maintained its Strong Buy rating on the stock, positioning itself among the more aggressive bulls as NVIDIA’s Blackwell architecture begins to dominate global data center spending. This adjustment follows a period of consolidation where the stock hovered near the $180 mark, suggesting that analysts now see a significant disconnect between the company’s current valuation and its projected cash flow through 2027.

The upgrade is anchored by a staggering forecast for NVIDIA’s next-generation hardware. According to Raymond James, the cumulative order book for the Blackwell and subsequent Vera Rubin platforms is expected to reach $1 trillion by 2027. This is not merely a projection of demand but a reflection of the massive capital expenditure commitments from "hyperscalers" like Microsoft, Alphabet, and Meta. These tech giants are no longer just buying chips; they are building sovereign AI clouds and massive internal clusters that require the integrated networking and compute power that only NVIDIA currently provides at scale. The data center revenue for the most recent quarter, which hit $62.3 billion—a 75% year-over-year increase—serves as the baseline for this optimism.

While some skeptics have questioned the sustainability of such growth, the underlying numbers suggest a shift from experimental AI to industrial-scale deployment. NVIDIA’s networking revenue, often the overlooked sibling of its GPU business, surged 263% to $10.98 billion. This indicates that customers are increasingly locked into the NVIDIA ecosystem, as the InfiniBand and Spectrum-X networking protocols become the glue for massive AI clusters. By raising the price target to $323, Raymond James is betting that the market has yet to fully price in the margin expansion that comes with this high-degree of ecosystem "stickiness."

The financial health of the company provides a formidable cushion for this aggressive valuation. NVIDIA reported $34.9 billion in free cash flow, a figure that has allowed U.S. President Trump’s administration to view the company as a strategic national asset in the ongoing global race for computational supremacy. This cash pile is being funneled back into a $58.5 billion buyback authorization, effectively putting a floor under the stock price. For investors, the Raymond James note suggests that the "digestion period" for AI stocks is ending, replaced by a realization that the hardware requirements for generative AI are more intensive and long-lasting than previously modeled.

The competitive landscape remains NVIDIA’s to lose. While rivals like AMD and custom silicon efforts from Amazon and Google are gaining some traction, they have yet to challenge the software moat provided by CUDA. Raymond James’s analysis implies that as long as the $1 trillion order forecast remains intact, the stock’s current trading range is an anomaly. The path to $323 is paved with the transition from the H100 era to the Blackwell era, where the average selling price per rack is expected to climb significantly, further decoupling NVIDIA’s revenue growth from simple unit volume.

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Insights

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What feedback have users provided regarding NVIDIA's latest products?

What recent updates have occurred in NVIDIA's stock valuation?

What is the significance of the $1 trillion order forecast for NVIDIA's future?

What challenges does NVIDIA face from competitors like AMD and Google?

How does NVIDIA's networking revenue impact its overall business strategy?

What recent policy changes could affect NVIDIA's operations or stock performance?

How might NVIDIA's ecosystem 'stickiness' evolve over the next few years?

What are the long-term impacts of the shift from experimental AI to industrial-scale deployment?

What comparisons can be made between NVIDIA's Blackwell and previous architectures?

What are the core difficulties faced by NVIDIA in maintaining its market dominance?

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What trends are emerging in the AI infrastructure market that could benefit NVIDIA?

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