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Nvidia Q2 FY2027: Revenue Doubles, AWS Inks Record GPU Deal

TechnologyMAJOR1h ago6 min read
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Nvidia Q2 FY2027: Revenue Doubles, AWS Inks Record GPU Deal

Nvidia beat Q2 FY2027 estimates with 106% year-over-year revenue growth to $6.2B, raised Q3 guidance to $8B, and secured a landmark 2 million GPU purchase commitment from Amazon AWS.

  • Nvidia posted Q2 FY2027 revenue of $6.2B, up 106% year-over-year, with EPS of $0.22, topping Wall Street consensus on both measures.
  • Amazon AWS committed to purchasing 2 million Nvidia GPUs paired with the newly unveiled Vera CPU in what analysts called the largest single cloud GPU procurement on record.
  • Nvidia raised Q3 FY2027 revenue guidance to $8B; Nasdaq QQQ futures jumped more than 1% in early Thursday trading on the print.

Lead

Nvidia (NVDA) reported second-quarter fiscal 2027 revenue of $6.2 billion on Wednesday, a 106% increase from the same period a year earlier, and earnings per share of $0.22 - both surpassing Wall Street forecasts. The Santa Clara chipmaker simultaneously disclosed that Amazon Web Services (AMZN) had committed to purchasing 2 million Nvidia GPUs paired with the company's newly announced Vera CPU, a deployment at scale that marks the most substantial single cloud infrastructure order yet recorded in the AI hardware cycle. Nasdaq futures climbed more than 1% in early Thursday trading, lifting the technology-heavy QQQ and the broader semiconductor complex ahead of the regular session.

What Drove Nvidia's Q2 Revenue Beat?

Hyperscale cloud demand for AI data center infrastructure drove the outperformance. Nvidia's data center segment continued to absorb the capital expenditure surge from large cloud operators expanding training and inference capacity for generative AI applications, large language models, and reasoning workloads. The AWS deal reinforced a pattern of accelerating orders from the world's leading cloud providers, who are under competitive pressure to deploy frontier AI capabilities at scale.

The Vera CPU, introduced alongside Wednesday's earnings disclosure, is engineered to work in tandem with Nvidia's GPU architecture, managing the memory-intensive orchestration workloads associated with large AI model deployments. Its adoption by AWS as a launch customer signals early commercial traction for Nvidia's strategy of expanding beyond graphics processing into a more complete compute stack - positioning NVDA to capture a larger share of hyperscaler infrastructure budgets that now span CPU, GPU, and networking.

Why Did Nasdaq Futures Surge After the Print?

Nvidia's results provided the most direct evidence yet that AI infrastructure spending is accelerating rather than plateauing. The stock's substantial weight in major indices - including QQQ, the SMH semiconductor ETF, and the SOXL leveraged chip-sector product - meant the earnings beat transmitted rapidly to broader technology benchmarks. Nasdaq futures advanced more than 1% in the hour following the release, reflecting a market-wide recalibration of AI capital expenditure trajectories into late calendar 2026.

AI stocks broadly rose in pre-market trading as investors interpreted the Amazon commitment as confirmation that hyperscaler capex budgets remain intact and are, in some cases, expanding. SOXL, which offers 3x leveraged exposure to semiconductor indices, was among the sharpest early movers as institutional desks repositioned heading into Thursday's open.

Q3 Guidance and the Demand Outlook

Nvidia guided third-quarter FY2027 revenue to $8 billion, implying sequential growth of approximately 29% and landing well above consensus. The company attributed the raised outlook to continued data center pipeline strength and early shipment schedules tied to Vera CPU deployments.

The AWS commitment to 2 million GPUs provides Nvidia with a meaningful forward backlog and reduces near-term demand uncertainty. Hyperscaler capital expenditure cycles typically extend 12 to 18 months from order to full deployment, meaning the current procurement wave is positioned to support elevated production schedules well into fiscal 2028.

Strategic Context: The Vera CPU's Role

The Vera CPU represents a material product expansion for Nvidia. Data center operators have historically relied on Intel and AMD CPU architectures for host-side compute, with Nvidia's GPUs handling parallel AI workloads. Vera integrates CPU cores optimized for AI workload scheduling, memory management, and model serving efficiency - offering hyperscalers a more unified, power-efficient compute architecture. AWS's adoption as launch customer delivers Nvidia both a high-profile commercial validation and a reference deployment at the world's largest public cloud, strengthening NVDA's competitive positioning against rival chip architectures.

Outlook

Nvidia's Q2 FY2027 results, the Amazon AWS GPU commitment, and $8 billion Q3 guidance collectively reinforce the view that AI infrastructure investment remains the dominant theme in enterprise technology spending. With the Vera CPU entering commercial deployment and data center backlog extending across fiscal 2028, NVDA enters the second half of its fiscal year with expanding product scope and its largest confirmed order pipeline. Semiconductor indices and AI-focused benchmarks are expected to carry the earnings reaction through Thursday's regular session, with the breadth of the move contingent on whether peer hyperscalers confirm comparable capex trajectories in forthcoming disclosures.

Mentioned tickers: NVDA, AMZN, QQQ, SMH, SOXL

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