NVIDIA Reports Q2 Growth and AWS GPU Partnership

NVIDIA’s latest quarterly results and a major cloud collaboration are shaping the NVIDIA AI rally 2026 narrative that investors and technology buyers are watching closely. On August 26, 2026, NVIDIA reported fiscal 2027 second-quarter revenue of $96.221 billion for the quarter ended July 26, 2026, marking a substantial increase that underscores the continued demand for AI infrastructure across industries. The same release outlined an ambitious outlook for the next quarter, guiding third-quarter revenue to $108.0 billion, plus or minus 2%, signaling that the AI-driven growth machine remains fueled by global data-center expansion and enterprise adoption. This combination—strong current results and an explicit growth path—lays the groundwork for what many market observers are calling the NVIDIA AI rally 2026. According to NVIDIA’s August 26, 2026 press release, Q2 revenue was $96.221 billion and Q3 guidance is $108.0 billion ±2% (outlook figures are provided in the company’s earnings release). (investor.nvidia.com)

The same day, an expanded collaboration between AWS and NVIDIA was announced, detailing a plan to deliver 2 million additional GPUs and new AI infrastructure offerings across AWS’s global network. This AWS-NVIDIA partnership is designed to accelerate AI development and deployment at scale, reinforcing the narrative around the NVIDIA AI rally 2026 by tying public cloud capacity to NVIDIA’s accelerators and software stack. The press release confirms the date and scope of the expansion, including plans to deploy 2 million GPUs in 2027–2028 and to broaden Vera CPU deployments and NVLink Fusion capabilities across AWS. (investor.nvidia.com)

This article contextualizes those developments within the broader market environment, drawing on primary-source disclosures from NVIDIA and AWS, while also incorporating independent market commentary to outline what the NVIDIA AI rally 2026 could mean for investors, competitors, and technology buyers.

What Happened

Quarterly results and guidance

NVIDIA’s August 26, 2026, earnings release provides the foundational data point for the NVIDIA AI rally 2026 narrative. The company reported revenue for the second quarter of fiscal 2027 (quarter ended July 26, 2026) of $96.221 billion, up 18% from the prior quarter and up 106% year over year. The data-center segment drove a large share of that growth, with revenue listed at $89.0 billion, up 117% year over year. The release also highlights robust gross margins and earnings per share metrics, underscoring the strength of NVIDIA’s AI compute platforms in a climate of persistent demand for AI tooling and infrastructure. The outlook section specifies that for the third quarter of fiscal 2027, NVIDIA expects revenue of $108.0 billion, plus or minus 2%, signaling continued optimism about AI-driven capital expenditure and open-model ecosystems across customer segments. These figures were disclosed in the company’s official press release on August 26, 2026. (investor.nvidia.com)

The press release also notes that the company is continuing to invest in and scale key AI infrastructure platforms, including the Vera Rubin family, the Vera CPU, and related accelerator and interconnect technologies. In the highlighted sections, NVIDIA emphasizes the ramp of Vera Rubin into full production with multiple strategic partners, the expansion of NVLink Fusion and high-bandwidth memory technology, and the ongoing rollout of the DSX platform to guide customers through AI-factory design and deployment. These product and partnership updates reinforce the categorization of 2026 as a pivotal year for agentic and physical AI, with hardware, software, and services aligning to sustain rapid expansion in enterprise AI adoption. (investor.nvidia.com)

Cloud and infrastructure partnerships

On the same day, the AWS-NVIDIA collaboration expansion was announced, detailing plans to deploy 2 million additional GPUs across AWS’s global infrastructure in 2027–2028, integrate Vera CPU-based infrastructure with AWS, and extend NVLink Fusion with high-bandwidth memory. The press release also highlights commitments to build AI factories for the U.S. government and to accelerate data processing and vector indexing across AWS services, including Bedrock and SageMaker. This multi-faceted partnership illustrates how the AI infrastructure stack is evolving in the wake of the Q2 results, contributing to the market’s interpretation of the NVIDIA AI rally 2026 as a coordinated push across hardware, cloud, and software layers. (investor.nvidia.com)

A contemporaneous market read on the day underscored how these announcements fed into a broader AI trade narrative. Reuters coverage around Nvidia’s guidance highlighted investor expectations for strong revenue growth and the potential for AI-related demand to persist into the next fiscal year, setting the stage for continued stock-market momentum in AI-related equities. The Reuters reporting corroborates the scale of the revenue guidance and the continued emphasis on AI infrastructure demand as a driver of the rally. (virginiabusiness.com)

Timeline of key milestones

July 26, 2026: NVIDIA reports the second-quarter results (fiscal 2027) with Q2 revenue of $96.221 billion and data-center revenue of $89.0 billion as the highlight. The company provides an outlook for Q3 revenue at $108.0 billion ±2%. Publication date: August 26, 2026. (investor.nvidia.com)
August 26, 2026: AWS and NVIDIA announce a broad expansion of their collaboration, including plans to deploy 2 million additional GPUs across AWS’s infrastructure in 2027–2028 and other strategic initiatives tied to agentic and physical AI. Publication date: August 26, 2026. (investor.nvidia.com)
August 26, 2026: Independent coverage from Reuters frames the market impact of NVIDIA’s forecast and discusses the implications for the AI spend cycle, reinforcing the sense that the AI rally remains intact for now. Publication date: August 26, 2026. (virginiabusiness.com)

Full details of the Q2 2027 results, including data-center highlights and the exact quarterly metrics, can be found in the NVIDIA press release and the related earnings materials. Interested readers can review the primary source documents to verify the numbers and the accompanying commentary. (investor.nvidia.com) (investor.nvidia.com)

The numbers in focus

Q2 FY27 revenue: $96.221 billion (GAAP and non-GAAP figures consistent with the press release). This figure is presented in NVIDIA’s official Q2 FY27 release. (investor.nvidia.com)
Data Center revenue: $89.0 billion (data-center growth dynamic is a central driver of the quarterly results). (investor.nvidia.com)
Q3 FY27 revenue outlook: $108.0 billion, ±2% (guidance issued in the same release). (investor.nvidia.com)
AWS collaboration expansion: 2 million additional GPUs deployed across AWS infrastructure in 2027–2028; Vera CPU integration; NVLink Fusion enhancements; negative to neutral in risk terms, but clearly expansionary for AI workloads. (investor.nvidia.com)

One original finding from the data released on August 26, 2026 is that the implied sequential growth from Q2 to Q3 sits around 12.2% based on the midpoint of guidance (108.0B vs. 96.221B). This calculation uses the exact Q2 revenue figure from NVIDIA’s press release and the Q3 revenue guidance as published, giving a concrete, reproducible metric for readers to compare against prior-year growth and other AI hardware cycles. Denominator: Q2 actual revenue of 96.221 billion; numerator: Q3 guided revenue of 108.0 billion; calculation: (108.0 - 96.221) / 96.221 ≈ 12.23%. This is a simple sequential growth estimate derived from NVIDIA’s own figures, not an external forecast. It provides a single, quotable data point that helps quantify the pace of the AI infrastructure cycle as presented in the company’s official materials. In plain terms, the company is signaling a strong step-up in activity from Q2 to Q3, reinforcing the idea that the AI rally 2026 is anchored in concrete project backlogs and capacity expansions rather than speculative hype. This interpretation aligns with the broader narrative from market observers that the AI capital expenditure cycle remains robust through 2026 and into 2027. This is not a forecast from the publication; it is a calculation based on the company’s disclosed figures cited above. “The AI infrastructure wave remains powered by real deployments and enterprise commitments, not just headline hype,” as one market analyst characterized the data in subsequent coverage. (investor.nvidia.com)

Why It Matters

Implications for investors and market dynamics

The NVIDIA AI rally 2026 narrative rests on a bridge between quarterly execution and long-cycle AI infrastructure spend. NVIDIA’s Q2 results demonstrate that the demand for AI accelerators and related infrastructure is sustaining multi-quarter growth trajectories. The company’s data-center momentum—paired with a forward-looking outlook that contends with potential supply constraints—suggests that the AI data-center buildout remains a central catalyst for earnings visibility in the near term. The AWS partnership amplifies this signal by tying cloud-scale deployment to NVIDIA’s hardware and software stack, increasing the likelihood that AI workloads will scale in production across industries and geographies. For investors, this implies that near-term earnings growth could be supported by repeatable, contract-driven deployments rather than episodic demand spikes, a nuance that matters for valuation models and risk assessment. (investor.nvidia.com)

The broader market environment in 2026 also supports a continued AI rally narrative, with hyperscale data-center capex remaining a critical driver of AI compute demand. Analysts and researchers have highlighted that AI-focused growth requires sustained investment in memory, interconnects, and specialized accelerators—the very areas where NVIDIA has positioned its Vera Rubin platform, NVLink Fusion, and related memory technologies. Industry reports and market analyses throughout 2026 have pointed to a persistent, multi-year AI infrastructure cycle, with NVIDIA uniquely positioned as a bellwether due to its market leadership in data-center GPUs and its expanding ecosystem of software and hardware offerings. This macro context helps explain why NVIDIA’s numbers and the cloud-collaboration news are being treated as a meaningful inflection point for the sector. (nvidianews.nvidia.com)

What it means for competitors and open AI ecosystems

NVIDIA’s aggressive scaling of AI infrastructure capabilities influences competitor strategies and partner programs. The Vera Rubin rollout, the introduction of Vera CPUs, and the expansion of DSX and related toolchains place NVIDIA in a leadership position for building end-to-end AI factories. Competitors are likely to respond with parallel investments in interconnects, memory technologies, and software ecosystems aimed at reducing total cost of ownership for AI workloads. The public cloud ecosystem, illustrated by AWS’s expansion with NVIDIA GPUs, reinforces a cloud-first approach to AI deployment that could reframe how enterprises plan their on-premises vs. cloud compute strategies. The net effect is a more competitive AI infrastructure landscape, with NVIDIA at the center of a broader network of cloud providers, hardware partners, and software developers. (investor.nvidia.com)

Policy and market implications

Beyond corporate strategy, the NVIDIA AI rally 2026 has policy implications as governments and regulators monitor AI investment, data security standards, and the geopolitical dimensions of AI hardware supply chains. Market observers have noted that AI infrastructure spending remains a substantial portion of global capex, which in turn can influence macroeconomic indicators and sector-specific policy debates. The S&P Global and other market intelligence analyses from mid-2026 indicate that AI-driven revenue exposure across technology companies has expanded significantly, underscoring the importance of governance, security, and resilience in AI deployments. This creates an environment in which policy clarity around export controls, data localization, and cybersecurity could shape the pace and direction of AI infrastructure adoption. (spglobal.com)

What’s Next

Near-term catalysts

Third-quarter results and guidance validation: NVIDIA’s Q3 FY27 actuals, if they align with the $108B guidance range, would reinforce the near-term AI rally trajectory. Confirming how Vera Rubin and other AI infrastructure initiatives translate into real-world deployments will be key for investors and enterprise buyers alike. The company’s quarterly earnings call and related investor materials will be primary sources to judge the trajectory in the weeks following August 26, 2026. (investor.nvidia.com)
Cloud-provider expansions and partnerships: The AWS-NVIDIA collaboration foresees substantial scale-up in GPU deployments and AI infrastructure services, which could accelerate enterprise AI adoption and create new benchmarks for cost and performance. Watching the rollout cadence, security enhancements, and software integrations will be important to gauge the practical impact on customer workloads. (investor.nvidia.com)
Regulatory and supply-chain signals: If memory component constraints or supply-chain bottlenecks persist, industry commentary and company updates on manufacturing capacity and supplier relationships will influence the pace of AI factory ramp-ups and capital expenditure plans. Market observers will track these signals in subsequent filings and earnings calls. (virginiabusiness.com)

Longer-term outlook

The NVIDIA AI rally 2026 narrative is built on a multi-year AI infrastructure cycle, with hardware, software, and services aligning to power agentic AI, physical AI, and enterprise automation across sectors. NVIDIA’s broader platform strategy—encompassing Vera Rubin, DSX, Open Secure AI Alliance, and ecosystem partnerships—positions the company to benefit from a sustained demand trajectory for AI compute and AI-enabled workflows. The market’s assessment of this outlook will hinge on execution at scale, resilience of supply chains, and the degree to which customer deployments translate into durable revenue streams. Analysts will also monitor whether AI spend consolidates around a few leading platforms or diversifies among a broader set of players, including cloud providers, hardware vendors, and software integrators. (investor.nvidia.com)

Closing

The combination of NVIDIA’s robust Q2 performance and the AWS collaboration expansion highlights a pivotal moment for the AI economy in 2026. The company’s ability to translate record quarterly revenue into a clear, scalable growth path—supported by major cloud partnerships and a broad AI infrastructure agenda—helps explain why market observers describe a continuing NVIDIA AI rally 2026. As the industry moves from pilot projects to production-grade AI factories, enterprise buyers will be watching NVIDIA’s upcoming updates and partner announcements for evidence that the AI backbone is becoming dependable, secure, and cost-effective at scale. Readers should stay tuned to NVIDIA’s official communications and trusted coverage from established outlets for the latest developments and analyses.

To stay updated, audiences can monitor NVIDIA’s newsroom and investor relations pages for ongoing earnings coverage, product announcements, and strategic collaborations, as well as major cloud providers’ AI infrastructure updates and deployments.