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NVIDIA reported $96.2 billion in fiscal second-quarter 2027 revenue, up 106% year over year, while its Data Center business grew 117%. The supplier in the headline is Foxconn, which Barron’s describes as NVIDIA’s AI server partner. Foxconn’s results may signal strength in AI infrastructure, but they are not NVIDIA revenue—and the accessible Barron’s summary does not provide Foxconn’s figure or comparison period.
Which supplier is the headline referring to?
It is Foxconn. Barron’s describes the company as NVIDIA’s artificial-intelligence server partner and interprets Foxconn’s results as a sign that NVIDIA may have momentum. That is a supplier read-through, not confirmation of NVIDIA orders, shipments, revenue, or profit. The accessible Barron’s page does not show the Foxconn revenue figure or the comparison period behind the headline.
Supplier revenue can reflect activity across customers, products, and periods. It should not be added to NVIDIA’s results or treated as a direct measure of NVIDIA’s sales.
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What NVIDIA reported in fiscal Q2 2027
NVIDIA’s earnings release, issued August 26, 2026, covers the quarter ended July 26, 2026. The company reported:
#1 Best Overall
- AI Performance: 767 AI TOPS
- OC mode: 2632 MHz (OC mode)/ 2602 MHz (Default mode)
- Powered by the NVIDIA Blackwell architecture and DLSS 4
- Axial-tech fan design features a smaller fan hub that facilitates longer blades and a barrier ring that increases downward air pressure
- A 2.5-slot design maximizes compatibility and cooling efficiency for superior performance in small chassis
| Measure | Fiscal Q2 2027 result | Year-over-year change |
|---|---|---|
| Total revenue | $96.2 billion | Up 106% |
| Data Center revenue | $89.0 billion | Up 117% |
| GAAP gross margin | 75.0% | Not stated in the cited release summary |
| Net income | $59.688 billion | Not stated in the cited release summary |
| Diluted GAAP earnings per share | $2.46 | Not stated in the cited release summary |
Total revenue and Data Center revenue each rose 18% sequentially. Data Center is the central segment to watch when assessing whether demand for AI infrastructure is showing up in NVIDIA’s reported business. The margin, net income, and EPS figures are results for this quarter, not forecasts.
Sources: NVIDIA’s August 26, 2026 earnings release.
Rank #2
- Memory Size: 16 GB GDDR6 ECC.
- Memory Bus Width: 128-bit.
- Memory Bandwidth: 200 GB/s.
- CUDA Cores: 1280.
- Peak Single Precision floating point performance: 18 Tflops (GPU Boost Clocks).
What NVIDIA expects next—and what it does not guarantee
For fiscal Q3 2027, NVIDIA guided to revenue of $108.0 billion, plus or minus 2%. The company said this outlook assumes no Data Center compute revenue from China. This is management guidance, not a result already earned; the quarter’s reported revenue will show how much of the outlook converted into sales.
CEO Jensen Huang characterized the opportunity this way: “AI has reached its inflection point. It’s doing useful work. Its tokens are productive and profitable. Now, compute is revenue.” That is management’s view of the market and its business, not an independent measurement of demand.
Rank #3
- Powered by the NVIDIA Blackwell architecture and DLSS 4
- Powered by GeForce RTX 5070
- Integrated with 12GB GDDR7 192bit memory interface
- PCIe 5.0
- NVIDIA SFF ready
Source: NVIDIA’s August 26, 2026 earnings release.
Why strong demand may not translate smoothly into revenue
NVIDIA disclosed $279 billion in supply and capacity commitments as of July 26, 2026, compared with $119 billion in the prior quarter. The company said these commitments are primarily related to memory and manufacturing facilities for data-center infrastructure systems. They indicate substantial commitments across the supply chain, but are not revenue already recognized or a guarantee of future sales.
Rank #4
- PLEASE NOTE: Exporting an NVIDIA RTX Pro 6000 GPU outside the US requires strict adherence to the U.S. Export Administration Regulations (EAR) and issuance of an export license from the Bureau of Industry and Security (BIS). Compliance and Know Your Customer (KYC) screening may be required as a condition of order acceptance. [NVIDIA Blackwell Streaming Multiprocessor] The new SM features increased processing throughput, and new neural shaders that integrate neural networks inside of programmable shaders | DLSS 4: Multi Frame Generation ensures ultra-smooth frame pacing for lifelike simulations.
- [Double-Flow-Through Design] The RTX PRO 6000 Blackwell features a double-flow-through cooling design, optimizing efficiency and airflow to sustain peak performance under 600W power loads. | [5th Gen Tensor Cores] Deliver up to 3X the performance of the previous generation and support for FP4 precision for faster AI model processing times with reduced memory usage, enabling local fine-tuning of LLMs and generative AI | [4th Gen Ray Tracing Cores] Double the ray-triangle intersection rate of the previous generation to create photoreal, physically accurate scenes and immersive 3D designs with RTX Mega Geometry, which enables up to 100X more ray-traced triangles.
- [PCIe Gen 5] Support for PCIe Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling. | [GDDR7 Memory] With 96 GB of GPU memory and 1.8 TB ps bandwidth, it can tackle massive 3D and AI projects, fine-tune AI models locally, explore large-scale VR environments, and drive larger multi-app workflows.
- [DisplayPort 2.1] Achieve unparalleled visual clarity and performance, driving high resolution displays at up to 8K at 240 Hz and 16K at 60 Hz. Increased bandwidth enables seamless multi-monitor setups while HDR and higher color depth support ensures superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.
- [Universal MIG] Divide a single RTX PRO 6000 Blackwell into multiple isolated instances, each with dedicated resources, allowing for concurrent execution of multiple workloads, optimized GPU utilization, and secure isolation of different applications or users. [WARRANTY] 3 YR Manufacturer's Warranty. Bulk OEM Packaging. Retail Packaging is NOT included.
In its fiscal Q2 2027 filing, NVIDIA also described risks that can affect the pace and economics of delivering systems:
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Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →- Demand estimates may be inaccurate, and production needs or system complexity can cause delays, supply-demand challenges, quality issues, lower yields, or higher costs.
- Customers may defer purchases if infrastructure or funding is unavailable.
- Shortages of land, power, data-center shells, or capital can affect customer deployments and future revenue.
These constraints matter because AI infrastructure must be manufactured, supplied, installed, powered, funded, and deployed before demand becomes recognized revenue.
Best Value
- NVIDIA Volta GV100 Architecture — 4,608 CUDA Cores, 640 1st-Gen Tensor Cores delivering 14 TFLOPS FP32 and 112 TFLOPS deep learning performance for AI training, inference, HPC, and scientific computing workloads
- 32GB HBM2 ECC Memory — 900 GB/s Bandwidth — High-bandwidth memory on a 4096-bit bus with ECC error correction provides the memory capacity and throughput required for the largest AI models, simulations, and datasets
- PCIe 3.0 x16 Interface — 250W TDP — Standard PCIe Gen3 connectivity with passive cooling designed for enterprise rack server deployment in HPE ProLiant, Dell PowerEdge, and Supermicro platforms with adequate chassis airflow
- NVLink — Scale to 96GB Unified Memory — Connect two V100 GPUs via NVLink at 300 GB/s bi-directional bandwidth to scale GPU memory from 32GB to 96GB for larger AI training and HPC workloads
- Multi-Precision Computing — Supports FP64 (7 TFLOPS), FP32 (14 TFLOPS), FP16 (112 TFLOPS) and INT8 precision modes for flexible deployment across training, inference, and scientific simulation workloads
Source: NVIDIA’s fiscal Q2 2027 SEC filing.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the stock headline establishes—and what it leaves open
The evidence supports a strong operating-growth story: NVIDIA reported rapid revenue growth, particularly in Data Center, and issued a higher next-quarter revenue outlook. Foxconn’s results offer a possible supplier-side signal of AI infrastructure activity, but the available Barron’s summary does not provide the underlying Foxconn number needed to judge its scale or period.
The exact NVIDIA closing price and record-high benchmark for October 5, 2026 were not independently verified in the available sources. Without a confirmed price and comparison point, a precise claim about the close, percentage gain, or market capitalization would be unwarranted. The headline’s stock-market framing should therefore be kept separate from the company’s reported quarterly results and its forward guidance.
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