Should You Buy NVIDIA After Impressive Q1 2027 Earnings and Guidance?

NVIDIA Corp. NVDA — the undisputed global leader of generative artificial intelligence (AI)-powered graphical processing units (GPUs) — reported solid first-quarter fiscal 2027 earnings results. Adjusted earnings per share came in at $1.87, surpassing the Zacks Consensus Estimate of $1.77 and the year-ago figure of $0.81. Revenues came in at $81.62 billion, outpacing the Zacks…


Should You Buy NVIDIA After Impressive Q1 2027 Earnings and Guidance?

NVIDIA Corp. NVDA — the undisputed global leader of generative artificial intelligence (AI)-powered graphical processing units (GPUs) — reported solid first-quarter fiscal 2027 earnings results.

Adjusted earnings per share came in at $1.87, surpassing the Zacks Consensus Estimate of $1.77 and the year-ago figure of $0.81. Revenues came in at $81.62 billion, outpacing the Zacks Consensus Estimate by 3.63% and the year-ago figure of $44.06 billion. Adjusted gross margin remained strong at around 75%.

The chart below shows the price performance of NVDA year to date.

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Data Center Revenues Maintain Momentum

Data center revenues reached $75.2 billion, surged 92% year over year. NVDA reported 50% of these revenues came from hyperscalers. This segment will continue its northward journey as four AI hyperscalers — Meta Platforms Inc. META, Alphabet Inc. GOOGL, Microsoft Corp. MSFT and Amazon.com Inc. AMZN — raised their AI capex budget to $725 billion in 2026 from $670 billion estimated earlier.

The most important fact is that the remaining 50% of data center revenues came from various other sources like AI Clouds, industrial, enterprise, and sovereign customers. This indicates that NVDA is strategically diversifying its customer base as AI tools are gradually being adopted in mainstream business operations.

Transformation From AI GPU to AI CPU

Beside being the generative-AI-powered GPU leader, NVIDIA is aiming to become a leading supplier of AI CPUs (Central Processing Units). The so long dormant AI CPU space has charged up with the advent of agentic AI tools.

In this regard, NVDA’s new AI superchip — Vera Rubin — may become a game-changer. This innovative rack-scale system will deliver 10 times more performance per watt than its predecessor, Grace Blackwell.

The Vera Rubin system comprises 1.3 million components, including 72 Rubin GPUs and 36 Vera CPUs. NVIDIA will start the shipment of Vera Rubin in the second half of 2026.  It had earlier announced the roadmap for Rubin Ultra, likely to be introduced in late 2027, and Feynman AI chips to be launched in 2028.

CEO Jensen Huang said, “agentic AI has arrived” and the factory buildout is “accelerating at extraordinary speed.” Huang also said that Vera Rubin, will be “even more successful than Grace Blackwell.” Chief Financial Officer Colette Kress said the new Vera CPU “opens a brand new $200 billion tab for NVIDIA.”ama

The move highlights how NVIDIA is transitioning from just a GPU company to a full infrastructure powerhouse.

Near-Term Challenges Ahead for NVDA

NVIDIA’s major hyperscaler customers like Meta, Alphabet, Amazon and Microsoft are currently developing their proprietary custom ASICs. Meta introduced four AI chips in March to be manufactured by Taiwan Semiconductor Manufacturing Co.

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