Intel AI Adoption Tracker
Last updated: August 18, 2026
Overview
Intel is pursuing a multi-pronged AI strategy centered around its Gaudi AI accelerators, AI-enhanced CPUs, and foundry services for the AI era [1][2][3]. The company launched Intel Gaudi 3 as its flagship AI accelerator in 2025, featuring 128GB HBM2e memory and 1,835 TFLOPs of compute performance, designed to compete directly with NVIDIA's H100 while offering better price-performance [4][5]. Intel has also integrated AI capabilities across its processor lineup, from the Xeon 6 series for data centers to Core Ultra Series 3 for AI PCs built on its advanced 18A process node [6][7]. Under CEO Lip-Bu Tan, Intel is positioning itself as a systems foundry for the AI era while making AI central to its product roadmap and business transformation [8][9].
- [1] Intel Gaudi 3 Expands Availability to Drive AI Innovation at Scale
- [2] CES 2026: Intel Core Ultra Series 3 Debuts as First Built on Intel 18A
- [3] Intel Reports Third-Quarter 2025 Financial Results
- [4] Computex: Intel Accelerates AI Everywhere, Redefines Power, Performance and Affordability
- [5] Intel Launches World's First Systems Foundry Designed for the AI Era
- [6] Intel and NVIDIA to Jointly Develop AI Infrastructure and Personal Computing Products
- [7] Intel Gaudi 3 vs. Nvidia H100: Enterprise AI Inference Price-Performance Comparative Analysis
- [8] Accelerating AI Workloads with Intel Gaudi 3 on VMware Cloud Foundation 9.0
- [9] Intel and IBM Announce the Availability of Intel Gaudi 3 AI Accelerators on IBM Cloud
AI Maturity Index
Radar Comparison
Peer Comparison: Intel vs technology
Based on 71 companies in sector
| Dimension | Intel | Sector Avg | Diff |
|---|---|---|---|
| Adoption | 4.0 | 4.0 | 0.0 |
| Proficiency | 4.0 | 4.0 | 0.0 |
| Impact | 3.0 | 4.1 | -1.1 |
| Overall | 3.6 | 4.1 | -0.5 |
Key Metrics
AI Initiatives
Core Ultra Series 3 (Panther Lake)
January 2026
First AI PC platform built on Intel 18A process technology
Features up to 50 NPU TOPS for AI acceleration, integrated Intel Arc graphics with up to 12 Xe cores, up to 27 hours battery life, and powers over 200 PC designs. Also includes edge processors for robotics, automation, and healthcare
NVIDIA-Intel AI Collaboration
September 2025
Partnership to co-develop AI infrastructure and personal computing products
Intel will design and manufacture custom x86 CPUs with NVIDIA NVLink for data centers, and x86 SOCs integrating NVIDIA RTX GPU chiplets for PCs. Includes $5 billion investment from NVIDIA in Intel
Intel Xeon 6 with AI Acceleration
June 2024
Data center processors with integrated AI capabilities
Includes both E-core and P-core variants with built-in AI accelerators, delivering up to 5.5x higher AI inference performance compared to AMD EPYC and 2x the AI performance of previous Xeon generations
Intel Foundry for AI Era
February 2024
Systems foundry business designed specifically for AI workloads
Offers advanced packaging, Intel 18A and 14A process technologies, and custom chip design services. Secured major customers including Amazon AWS for AI fabric chips and Microsoft for 18A process designs
Intel Gaudi 3 AI Accelerator
2024
Purpose-built AI accelerator for training and inference workloads
Features 128GB HBM2e memory, 1,835 TFLOPs of compute performance, 64 Tensor Processing Cores, 8 Matrix Multiplication Engines, and integrated 800GbE networking. Available through OEMs including Dell, HPE, and cloud providers like IBM Cloud
Frequently Asked Questions
Intel Gaudi 3 offers competitive performance with 70% better price-performance for inference workloads like Llama 3 80B, while being priced approximately 50% lower than NVIDIA H100 at around $15,625 per chip versus $30,678 for H100.
Intel's Core Ultra Series 3 includes up to 50 NPU TOPS for AI acceleration, while Xeon 6 processors feature integrated AI accelerators delivering up to 5.5x higher AI inference performance compared to competing solutions.
While NVIDIA dominates with approximately 80% market share, Intel is pursuing a differentiated strategy focused on price-performance, open ecosystems, and comprehensive AI solutions spanning edge to data center.
Intel Foundry positions itself as the world's first systems foundry for the AI era, offering advanced process nodes like 18A and 14A, custom chip design services, and end-to-end AI solutions for customers like Amazon and Microsoft.
Intel has shipped over 100 million AI-enabled PCs and expects its Core Ultra Series 3 to power more than 200 new AI PC designs, making it Intel's most broadly adopted AI PC platform.
In Application
| Application | Vendor | Use Case |
|---|---|---|
| PyTorch | Meta | Framework optimization for Intel Gaudi accelerators and Xeon processors |
| Hugging Face | Hugging Face | Model fine-tuning and deployment on Intel AI platforms |
| vLLM | Open Source | Optimized inference framework for Intel Gaudi 3 accelerators |
Sources
Intel Gaudi 3 Expands Availability to Drive AI Innovation at Scale
CES 2026: Intel Core Ultra Series 3 Debuts as First Built on Intel 18A
Intel Reports Third-Quarter 2025 Financial Results
Computex: Intel Accelerates AI Everywhere, Redefines Power, Performance and Affordability
Intel Launches World's First Systems Foundry Designed for the AI Era
Intel and NVIDIA to Jointly Develop AI Infrastructure and Personal Computing Products
Intel Gaudi 3 vs. Nvidia H100: Enterprise AI Inference Price-Performance Comparative Analysis
Accelerating AI Workloads with Intel Gaudi 3 on VMware Cloud Foundation 9.0
Intel and IBM Announce the Availability of Intel Gaudi 3 AI Accelerators on IBM Cloud
Intel says it's shipped 'slightly north' of 100 million AI PCs
Related Companies
About AI Tracker
AI Tracker is a research project by Larridin, the AI execution intelligence platform.
Methodology: We analyze earnings calls, press releases, partnership announcements, and product documentation. All assessments are based solely on publicly available information—no private customer data is used.
Maturity Scoring: Each dimension is rated on a 4-tier scale (Nascent → Emerging → Scaling → Leading) based on evidence from public sources. Industry averages are computed as the median across all tracked companies in the sector.