Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.

AMD has the stronger recent data-center growth and profitability momentum, but the available figures do not establish which stock has more upside. “Room to run” depends on what investors already expect the shares to earn, as well as whether each company can turn AI demand into durable profits. The valuation figures available here use different sources and earnings estimates, so they are not a sound basis for declaring one stock cheaper.

What the latest results say about AMD and Intel

AMD’s reported data-center business is growing faster in the latest figures available, and it is reporting segment operating income alongside that growth. Intel’s Data Center and AI (DCAI) business is also recovering, but its overall manufacturing economics remain a separate concern: Intel Foundry reported a large quarterly operating loss.

Company and period Data-center performance Profitability context
AMD, FY2025 Data Center revenue was $16.6 billion, up 32% year over year. Data Center operating income was $3.6 billion. AMD’s FY2025 total revenue was $34.6 billion, up 34%.
AMD, Q2 2026 Data Center revenue was $6.7 billion, up 107% year over year. AMD reported $11.536 billion in total revenue for the quarter. Data Center operating income was $2.1 billion.
Intel, Q2 2026 DCAI revenue grew 59% year over year, largely on higher server revenue and average selling prices. Intel said demand exceeded available supply. Intel Foundry reported a $2.1 billion operating loss. This is a Foundry figure, not DCAI segment operating income.

Sources: AMD’s FY2025 results and Q2 2026 earnings materials; Intel’s Q2 2026 results. The segment labels are not identical: AMD reports Data Center, while Intel reports Data Center and AI. The growth rates are useful context, not a perfectly like-for-like measure of AI-chip sales. Intel’s cited DCAI growth also includes server products; it does not show that AI accelerators alone grew 59%.

Why AMD’s operating case looks stronger right now

Growth is extending beyond GPUs

AMD attributes Data Center growth to demand for both EPYC server CPUs and Instinct GPUs. That matters because the business is not dependent on accelerator shipments alone. The company also identifies ROCm software development and its rack-scale Helios platform as parts of its AI strategy. Those initiatives may support adoption, but a roadmap or strategy description is not proof of future sales or sustained customer deployments.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.
#1 Best Overall
Sale
HPE NVIDIA Tesla V100 32GB HBM2 PCIe 3.0 x16 Passive GPU Computational Accelerator for AI Machine Learning HPC Deep Learning 699-2G500-0216-400 (Renewed)
  • 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

Revenue growth still has to convert into lasting margins

AMD’s Q2 2026 Data Center operating income of $2.1 billion indicates that rapid segment growth came with substantial reported operating profit. But the longer-term margin picture deserves attention: in FY2025, Data Center revenue rose 32%, while operating income increased only modestly from 2024, according to AMD. Investors should follow operating income and margins alongside revenue rather than assuming sales growth will translate proportionally into profit.

What Intel’s recovery does—and does not—show

Intel’s 59% year-over-year DCAI revenue growth in Q2 2026 is evidence of a real improvement in that segment. Intel attributed the increase chiefly to server revenue and higher average selling prices, while also reporting demand above available supply. That supports a recovery case for its server business; it does not by itself establish a durable competitive advantage in AI accelerators.

Rank #2
MX3 M.2 AI Accelerator
  • High-Performance AI Processing: The MX3 is designed to handle the most demanding AI computer vision workloads, delivering exceptional performance and efficiency.
  • Flexible Integration: The MX3 can be easily integrated into your existing systems via its M.2 M-key form factor and support for Linux operating systems.
  • Energy Efficient: The MX3 is designed to provide high performance while minimizing power consumption.
  • Comprehensive Software Development Kit (SDK): The MX3 is supported by a comprehensive SDK that simplifies development and deployment.
  • Hardware compatability: The MX3 is compatible with the PCI-SIG M.2 M-key 2280 Specification. It can be used with the Raspberry Pi 5 with a M-key 2280 HAT.

Intel Foundry’s $2.1 billion operating loss in the same quarter is a distinct part of the investment case. Foundry manufacturing costs and losses should not be conflated with DCAI results, but they matter when assessing Intel’s wider profitability and execution. Intel also said supply limitations may persist into next year. That is a company outlook, not a confirmed future outcome.

Do the stocks’ valuation figures settle the question?

No. The available October 2, 2026 valuation snapshots are from different providers and use separate earnings estimates or calculation conventions:

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.
Rank #3
waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Module Only
  • ✅Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor. 2.5W typical power consumption
  • ✅Scalable, enabling simultaneous processing of multi-streams & multi-models
  • ✅Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices
  • ✅Supports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworks
  • ✅Supports Linux and Windows. Supports the temperature range of -40°C to 85°C
  • Stock Analysis listed AMD at a $633.91 closing share price on October 2 and a forward price-to-earnings ratio of 57.38. Its average analyst target was $619.51, with target data last updated September 30.
  • TGMCharts listed Intel’s forward P/E at 77.71, based on a $119.33 quote and consensus forward EPS of $1.54.

These forward P/E figures are not a controlled comparison: they do not come from one provider using one consistent earnings basis. A lower number in this pair would not prove a stock is cheaper or offer more upside. The AMD analyst target is also an estimate, not a promised price or a reliable measure of future return; it was updated before the October 2 closing price.

A fair valuation comparison would use the same date and provider, a clearly defined earnings measure, and consistent assumptions for both companies. Even then, a P/E ratio is only one input: expected growth, operating margins, investment requirements, and the durability of earnings all affect what a valuation may imply.

Rank #4

Execution risks that can change the outcome

AMD: supply, regulation, and deployment

AMD’s growth depends on delivering products and converting customer interest into recurring revenue. Its FY2025 filing recorded about $440 million in net inventory and related charges associated with U.S. export controls on MI308 products. Supply availability, export restrictions, competition, and reliance on a limited number of large deployments can all affect how much announced demand reaches reported results.

In its August 4, 2026 Q2 earnings release, AMD chair and CEO Dr. Lisa Su said the company entered the second half with strong momentum as EPYC demand accelerated, Instinct deployments scaled, and Helios began to ramp. That is management’s description of its outlook, not independent confirmation that those trends will continue or that planned ramps will meet expectations.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.
Best Value
ASRock Radeon AI PRO R9700 Creator 32GB Professional Graphics Card, 2920 MHz Boost Clock, GDDR6, AMD RDNA 4, AI-Accelerators, DisplayPort 2.1a, PCIe 5.0, Blower Cooler
  • Professional AI & Creator Workstation: AMD Radeon AI PRO R9700 GPU with 32GB GDDR6 is engineered for AI development, professional content creation, and compute-intensive workloads.
  • Massive 32GB Memory Capacity: 32GB of GDDR6 memory on a 256-bit bus provides ample bandwidth for large AI models, 8K video editing, and complex 3D rendering.
  • Advanced RDNA 4 with AI Accelerators: 64 Compute Units with 3rd Gen Ray Tracing and dedicated 2nd Gen AI Accelerators for groundbreaking AI performance and visual computing.
  • Professional Blower Cooling: Efficient single blower design exhausts heat directly out of the chassis, ideal for multi-GPU workstation and server configurations.
  • Enterprise-Grade Thermal Solution: Vapor chamber heatsink with industrial Honeywell PTM7950 thermal interface material ensures reliable cooling under sustained professional loads.

Intel: manufacturing costs and supply

Intel’s recovery case depends not only on server demand but also on managing manufacturing costs, reducing Foundry losses, and addressing supply constraints. Premium server mix supported the reported DCAI increase, but investors should distinguish a favorable product mix in a quarter from evidence of durable profitability across Intel’s businesses.

Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Support on Ko-Fi

How to judge “more room to run” from here

The evidence supports a narrower conclusion than a stock-picking verdict: AMD has stronger reported data-center momentum today, while Intel has a meaningful DCAI recovery alongside continuing Foundry losses and supply challenges. To decide which share has greater potential from its current price, compare what each company must deliver against expectations already embedded in its valuation.

  • Separate product growth: Track AMD’s EPYC and Instinct contributions, and distinguish Intel server revenue from evidence about AI accelerators.
  • Watch profit conversion: Follow AMD Data Center operating income and margin progression, and keep Intel Products performance separate from Intel Foundry losses.
  • Look for delivery evidence: Check whether supply, customer deployments, software adoption, and product ramps translate into recurring revenue rather than relying on roadmap announcements.
  • Normalize valuation inputs: Compare both companies on the same date, from the same source, using consistent forward earnings definitions and assumptions.
  • Account for risks and investment needs: Consider export controls and deployment concentration for AMD, and manufacturing costs, supply limits, and Foundry losses for Intel.

Without a harmonized valuation comparison, the available evidence does not justify saying AMD or Intel has more stock upside. This is a company comparison, not individualized investment advice.

Quick Recap

Bestseller No. 2
MX3 M.2 AI Accelerator
MX3 M.2 AI Accelerator
Software and Documentation can be accessed at the MemryX developer website
$169.00
Bestseller No. 3
waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Module Only
waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Module Only
✅Scalable, enabling simultaneous processing of multi-streams & multi-models; ✅Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices
$219.99
Bestseller No. 4
Tesla L40S 48GB AI HPC Graphics Accelerator
Tesla L40S 48GB AI HPC Graphics Accelerator
48GB AI graphics accelerator
$6,199.00

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.