NVIDIA reports much higher total-company revenue, but the available figures do not establish that it has higher AI revenue than Broadcom: NVIDIA reports Data Center revenue rather than a standalone AI revenue line, while Broadcom separately reports AI semiconductor revenue. The margin figures also are not directly comparable, and forward P/E snapshots at the October 6, 2026 close put Broadcom slightly higher. The right comparison depends on keeping each company’s category, fiscal period, and metric distinct.
What the reported revenue figures do—and do not—show
NVIDIA reported $96.2 billion in total revenue for Q2 FY2027, in results released August 26, 2026. Its FY2026 annual filing reported $215.9 billion in total revenue for the fiscal year ended January 25, 2026. Those are company-wide figures, not standalone AI revenue.
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Broadcom reported $16.7 billion in AI semiconductor revenue for Q3 FY2026, up 221% year over year, and $29.6 billion in consolidated revenue. Broadcom’s quarter ended August 2, 2026. Its AI semiconductor figure is a company-reported category; it is not directly comparable to NVIDIA’s total revenue or to its broader Data Center segment.
| Measure | NVIDIA | Broadcom |
|---|---|---|
| AI-specific figure in the cited results | No standalone AI revenue figure stated; NVIDIA reports Data Center revenue as a segment. | $16.7 billion AI semiconductor revenue in Q3 FY2026, up 221% year over year. |
| Total-company revenue | $96.2 billion in Q2 FY2027; $215.9 billion in FY2026. | $29.6 billion in Q3 FY2026. |
| Period reference | FY2026 ended January 25, 2026; Q2 FY2027 results released August 26, 2026. | Q3 FY2026 ended August 2, 2026. |
The periods differ, and the companies’ fiscal calendars do not align. The figures therefore provide context on scale and reported categories, not a same-quarter ranking of AI sales. Calling all of NVIDIA’s Data Center revenue “AI revenue” would also overstate what the cited disclosure establishes.
#1 Best Overall
- System Compatibility Note: This 2-slot card measures 271 x 112 x 39 mm and requires a single 12V-2x6-pin power connector. Please verify chassis and PSU compatibility before purchase.
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- Professional Intel Arc Pro B70 GPU: Built on the Intel Xe2-HPG architecture, it features 32 Xe cores and 256 XMX engines, designed to accelerate AI, rendering, and complex visualization workloads.
- Massive 32GB GDDR6 VRAM: Equipped with 32GB of high-speed GDDR6 memory on a 256-bit bus, running at 19 Gbps, which allows for handling large AI models and complex datasets locally.
- High-Performance Engine Clock: Delivers an engine clock of 2540 MHz, providing the compute power needed for demanding professional applications and AI inference.
How to read the margin comparison
NVIDIA reported a 75.0% gross margin for Q2 FY2027. For FY2026, it reported a 71.1% gross margin and $130.4 billion in operating income. These are reported NVIDIA results, but they cover different periods.
The available Broadcom figure is not a reported gross margin. In its Q2 FY2026 release, Broadcom forecast Q3 FY2026 consolidated revenue of $29.4 billion and a 67% non-GAAP operating margin. That was guidance for the subsequent quarter; Broadcom later reported Q3 revenue of $29.6 billion. The 67% forecast is an operating-margin figure, not a gross-margin result, so it should not be set against NVIDIA’s reported gross margins as if they measured the same thing.
Rank #2
- 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
Company-wide margins also reflect different business mixes. Broadcom combines semiconductor and infrastructure software businesses, while NVIDIA’s results include multiple segments. A clean comparison would require the same margin definition, accounting basis, and period for both companies; the cited figures do not provide that matched pair.
The Tool Desk
Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →What valuation said at the October 6 close
Stock Analysis’s market-data snapshots for the October 6, 2026 close showed NVIDIA with a $5.78 trillion market capitalization and a forward P/E of 19.78; Broadcom was valued at $1.79 trillion with a forward P/E of 21.69. These are secondary-source snapshots, and forward P/E is based on earnings estimates rather than earnings already reported.
Rank #3
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| At October 6, 2026 close | NVIDIA | Broadcom |
|---|---|---|
| Market capitalization | $5.78 trillion | $1.79 trillion |
| Forward P/E | 19.78 | 21.69 |
On this snapshot, NVIDIA had the lower forward P/E. That does not by itself make NVIDIA the cheaper stock in a useful investment sense: the multiple depends on the provider’s estimate methodology and can shift as price or expected earnings change. It should be considered alongside each company’s growth expectations, business mix, and execution risks, rather than treated as a standalone verdict.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Which company looks stronger depends on the question
- Total-company scale: NVIDIA’s cited FY2026 annual revenue and Q2 FY2027 quarterly revenue show substantial company-wide scale, but they are not the same period as Broadcom’s Q3 FY2026 result.
- Disclosed AI revenue: Broadcom provides a distinct AI semiconductor revenue figure. The cited NVIDIA results do not provide an equivalent standalone AI revenue line, so an exact AI-revenue winner cannot be determined from these disclosures.
- Margins: NVIDIA’s cited figures include reported gross margins. Broadcom’s 67% figure is non-GAAP operating-margin guidance, which is a different metric and status.
- Valuation: The cited close-of-market forward P/E snapshot is lower for NVIDIA, but it depends on estimates and does not resolve which stock is more attractive overall.
Revenue growth, margins, and valuation are useful comparison points, not a complete investment decision. The figures here do not supply a price target or establish which stock is preferable for a particular investor.
Quick Recap
Best Value
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- [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.
- [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. | [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.
Rank #4
- System Compatibility Note: 2-slot card, 271x112x39mm, single 8-pin power, 200W TDP. Verify chassis clearance and PSU capacity before purchase.
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- 24GB GDDR6 on 192-Bit Bus: Massive 24GB memory with 456 GB/s bandwidth – ideal for LLMs, AI inference, 3D rendering, and generative design.
- Intel Xe2-HPG Architecture: Built on Intel's next-gen architecture with 20 Xe cores and 160 XMX engines for AI acceleration (197 INT8 TOPS).
- PCIe 5.0 Support: PCI Express 5.0 x16 interface for maximum bandwidth with the latest workstation platforms.
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