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Microsoft to Deploy Next-Gen AMD Instinct and AMD EPYC Processors as the Companies Expand Their Long-Term Strategic Partnership

(Moderate)
(Very Positive)
Tags
partnership

AMD (NASDAQ: AMD) announced an expanded long-term strategic partnership with Microsoft Azure covering GPUs, CPUs, networking and software. Microsoft will deploy the AMD Helios Rackscale Solution, combining Instinct MI455X GPUs, 6th Gen EPYC “Venice” CPUs, Pensando DPUs and ROCm software, to power frontier model AI inference for Microsoft, Azure AI services and customers.

Azure will add two new VM series, HDv2 for agentic AI and data pipelines and HXv2 for semiconductor design, both powered by 6th Gen EPYC “Venice” processors. Microsoft is also broadening deployment of Pensando DPUs and integrating AMD silicon with Azure Boost to enhance cloud networking performance. AMD plans to begin shipping Helios to customers, including Microsoft, in the second half of 2026.

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Positive

  • Microsoft to deploy AMD Helios at scale for frontier AI inference on Azure
  • Two new Azure VM series (HDv2, HXv2) powered by 6th Gen AMD EPYC “Venice” CPUs
  • Broader Azure use of AMD Pensando DPUs in AI backend networking and select services
  • Integration of AMD silicon with Azure Boost to enhance networking performance across Azure infrastructure
  • Helios shipments to customers, including Microsoft targeted for the second half of 2026

Negative

  • None.

News Market Reaction – AMD

+1.58%
74 alerts
+1.58% News Effect
+6.1% Peak in 31 hr 3 min
+$13.87B Valuation Impact
$891.56B Market Cap
0.7x Rel. Volume

On the day this news was published, AMD gained 1.58%, reflecting a mild positive market reaction. Argus tracked a peak move of +6.1% during that session. Our momentum scanner triggered 74 alerts that day, indicating high trading interest and price volatility. This price movement added approximately $13.87B to the company's valuation, bringing the market cap to $891.56B at that time.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The tag-specific partnership record showed an average move of 1.75% across two events. Microsoft’s A...
Analysis

The tag-specific partnership record showed an average move of 1.75% across two events. Microsoft’s Azure deployment broadens the collaboration, while the platform record and recent insider Net Selling provide comparison points to monitor.

Key Figures

New VM series: 2 new VM series Helios shipments: Second half of 2026 EPYC processor generation: 6th Gen AMD EPYC +1 more
4 metrics
New VM series 2 new VM series Azure deployment
Helios shipments Second half of 2026 AMD begins shipping Helios to customers
EPYC processor generation 6th Gen AMD EPYC Azure HDv2 and HXv2 VM series
Helios GPU AMD Instinct MI455X AMD Helios rackscale platform

Previous Partnership Reports

2 past events · Latest: May 04 (Positive)
Same Type Pattern 2 events
Date Event Sentiment 24h Move Catalyst
May 04 AI partnership Positive -5.3% Zyphra launched an AMD GPU-powered AI cloud; shares fell 5.27%.
Feb 24 Strategic partnership Positive +8.8% AMD and Meta announced GPU deployment plans; shares rose 8.77%.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Partnership-specific reactions were mixed, with one positive and one negative outcome; the tag-specific average move was 1.75%.

Key Terms

dpu, rackscale platform, ai inference
3 terms
dpu technical
"Azure deploys AMD Pensando™ DPUs in AMD AI backend networking infrastructure"
Distributions per unit (DPU) is the amount of cash or income paid to each unit holder of a trust, real estate investment trust (REIT) or similar pooled investment for a given period. It tells investors how much cash income they received per unit, like getting a fixed slice of a pie for every share you own, and helps compare yield and judge whether the payout level is steady, growing or at risk.
rackscale platform technical
"in an open, integrated rackscale platform built for large-scale AI training"
A rackscale platform is a data-center architecture that treats a whole rack of servers, storage, and networking as a single, pooled resource that can be configured and managed centrally. For investors, it matters because this approach can improve hardware utilization, simplify scaling and maintenance, and reduce operating costs for companies that run cloud, hosting, or large IT infrastructure—like turning separate appliances into a modular toolbox you can rearrange on demand.
ai inference technical
"to power frontier model AI inference for Microsoft, its AI customers"
AI inference is the step where a trained artificial intelligence model uses its learned patterns to analyze new data and produce an output — for example, predicting a stock trend, flagging a medical image, or generating text, much like using a recipe to cook a meal. It matters to investors because inference determines real-world performance, speed, and cost of AI features, affects user experience and scalability, and influences operating expenses, regulatory compliance, and competitive advantage.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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News Highlights

  • Microsoft to ramp AMD Helios™ at scale on Azure to power frontier model inference for Microsoft, its AI customers and Azure AI services.
  • Azure will add two new VMs powered by 6th Gen AMD EPYC™ “Venice” processors
  • Azure deploys AMD Pensando™ DPUs in AMD AI backend networking infrastructure and select Azure services.
  • The companies are integrating AMD silicon with Azure Boost to scale cloud networking performance across the fleet.

SANTA CLARA, Calif., July 20, 2026 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) today announced an expanded strategic partnership spanning AMD GPUs, CPUs, networking and software on Microsoft Azure. At the center of this expansion, Microsoft will deploy the AMD Helios Rackscale Solution, to power frontier model AI inference for Microsoft, its AI customers and support Azure AI services. Azure will also add two new AMD EPYC CPU-powered VM series and broaden its deployment of Pensando DPUs to support Azure networking services. AMD will begin shipping Helios to customers, including Microsoft, in the second half of 2026.

AMD Helios combines AMD Instinct™ MI455X GPUs, AMD EPYC™ "Venice" CPUs, Pensando™ networking and ROCm™ software in an open, integrated rackscale platform built for large-scale AI training and inference. The Azure deployment will use Helios for inference workloads spanning frontier models, Azure AI services and customer applications.

“AMD and Microsoft have spent years building high-performance infrastructure together, and today we're extending that partnership across the full stack of AMD AI solutions on Azure,” said Dr. Lisa Su, Chair and CEO, AMD. “Microsoft's new AMD deployments mark an important milestone as we deliver leadership compute solutions to Azure customers and scale the next generation of AI infrastructure together.”

“Customers are looking for AI infrastructure that is optimized for a wide range of workloads, from training and inference to data preparation, search, and reinforcement learning," said Satya Nadella, Chairman and CEO, Microsoft. "Through our collaboration with AMD, we are expanding the Azure infrastructure portfolio with AMD Helios to give customers the performance, scale and choice they need to build and run the next generation of AI applications.”

The collaboration expands access to AMD AI infrastructure across Azure. Frontier model builders can now leverage AMD-powered infrastructure to train and serve large-scale AI models, while enterprise customers can deploy and scale production AI workloads through Azure Foundry Managed Compute.

Azure’s new VM series, Azure HDv2 for agentic AI and data pipelines, and Azure HXv2 for semiconductor design, will be powered by 6th Gen AMD EPYC “Venice” processors. Together, the new VM series broaden Azure’s AMD EPYC portfolio across AI, data and engineering workloads.

The collaboration also extends into the networking layer that connects and scales Azure infrastructure. Building on Microsoft’s broad deployment of AMD Pensando DPUs, the companies are integrating Azure Boost with AMD technologies to improve networking performance, efficiency and connection processing at cloud scale.

As AI demand accelerates, AMD and Microsoft will continue to deliver open, high-performance infrastructure that gives customers flexibility, efficiency and scale to build what's next.

Supporting Resources

About AMD

AMD (NASDAQ: AMD) drives innovation in high-performance and AI computing to solve the world’s most important challenges. Today, AMD technology powers billions of experiences across cloud and AI infrastructure, embedded systems, AI PCs and gaming. With a broad portfolio of AI-optimized CPUs, GPUs, networking and software, AMD delivers full-stack AI solutions that provide the performance and scalability needed for a new era of intelligent computing. Learn more at www.amd.com.

Cautionary Statement

This press release contains forward-looking statements concerning Advanced Micro Devices, Inc. (AMD) such as the features, functionality, performance, availability, timing and expected benefits of AMD products and expanded collaboration with Microsoft, which are made pursuant to the Safe Harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are commonly identified by words such as "would," "may," "expects," "believes," "plans," "intends," "projects" and other terms with similar meaning. Investors are cautioned that the forward-looking statements in this press release are based on current beliefs, assumptions and expectations, speak only as of the date of this press release and involve risks and uncertainties that could cause actual results to differ materially from current expectations. Such statements are subject to certain known and unknown risks and uncertainties, many of which are difficult to predict and are generally beyond AMD's control, that could cause actual results and other future events to differ materially from those expressed in, or implied or projected by, the forward-looking information and statements. Material factors that could cause actual results to differ materially from current expectations include, without limitation, the following: impact of government actions and regulations such as export regulations, import tariffs, trade protection measures, and licensing requirements; competitive markets in which AMD’s products are sold; the cyclical nature of the semiconductor industry; market conditions of the industries in which AMD products are sold; AMD’s ability to introduce products on a timely basis with expected features and performance levels; loss of a significant customer; economic and market uncertainty; quarterly and seasonal sales patterns; AMD's ability to adequately protect its technology or other intellectual property; unfavorable currency exchange rate fluctuations; ability of third party manufacturers to manufacture AMD's products on a timely basis in sufficient quantities and using competitive technologies; availability of essential equipment, materials, components (such as memory supply), substrates or manufacturing processes; ability to achieve expected manufacturing yields for AMD’s products; AMD's ability to generate revenue from its semi-custom SoC products; potential security vulnerabilities; potential security incidents including IT outages, data loss, data breaches and cyberattacks; uncertainties involving the ordering and shipment of AMD’s products; AMD’s reliance on third-party intellectual property to design and introduce new products; AMD's reliance on third-party companies for design, manufacture and supply of motherboards, software, memory and other computer platform components; AMD's reliance on Microsoft and other software vendors' support to design and develop software to run on AMD’s products; AMD’s reliance on third-party distributors and add-in-board partners; impact of modification or interruption of AMD’s internal business processes and information systems; compatibility of AMD’s products with some or all industry-standard software and hardware; costs related to defective products; failure to maintain an efficient supply chain as customer demand changes; AMD's ability to rely on third party supply-chain logistics functions; AMD’s ability to effectively control sales of its products on the gray market; impact of climate change on AMD’s business; AMD’s ability to realize its deferred tax assets; potential tax liabilities; current and future claims and litigation; impact of environmental laws, conflict minerals related provisions and other laws or regulations; evolving expectations from governments, investors, customers and other stakeholders regarding corporate responsibility matters; issues related to the responsible use of AI; restrictions imposed by agreements governing AMD’s notes, the guarantees of Xilinx’s notes and the revolving credit agreement; AMD’s ability to satisfy financial obligations under guarantees, leases and other commercial commitments; impact of acquisitions, joint ventures and/or investments on AMD’s business and AMD’s ability to integrate acquired businesses; impact of any impairment of the combined company’s assets; political, legal and economic risks and natural disasters; future impairments of technology license purchases; AMD’s ability to attract and retain key employees; and AMD’s stock price volatility. Investors are urged to review in detail the risks and uncertainties in AMD’s Securities and Exchange Commission filings, including but not limited to AMD’s most recent reports on Forms 10-K and 10-Q.   

AMD, the AMD Arrow logo, AMD Instinct, AMD Pensando, AMD ROCm, EPYC and combinations thereof are trademarks of Advanced Micro Devices, Inc. Microsoft, Azure are trademarks or registered trademarks of their respective owners. Other names are for informational purposes only and may be trademarks of their respective owners.



Contacts:
Aaron Grabein
AMD Communications
737-256-9518
aaron.grabein@amd.com

Investor Contact
Liz Stine
AMD Investor Relations
720-652-3965
liz.stine@amd.com

FAQ

What did AMD (AMD) announce about its expanded AI partnership with Microsoft Azure on July 20, 2026?

AMD announced an expanded strategic partnership with Microsoft Azure spanning GPUs, CPUs, networking and software. According to AMD, Microsoft will deploy the Helios Rackscale Solution to support frontier AI inference, Azure AI services and customer applications on Azure’s cloud infrastructure.

What is the AMD Helios Rackscale Solution Microsoft is deploying on Azure for AI workloads?

AMD Helios is an open, integrated rackscale platform for large-scale AI training and inference. According to AMD, it combines Instinct MI455X GPUs, EPYC “Venice” CPUs, Pensando networking and ROCm software, and will be used on Azure for frontier model inference workloads.

When will AMD start shipping Helios systems to Microsoft and other customers?

AMD plans to begin shipping Helios systems to customers, including Microsoft, in the second half of 2026. According to AMD, these systems will support frontier model inference, Azure AI services and customer AI applications on Azure infrastructure.

Which new Azure VM series will use 6th Gen AMD EPYC “Venice” processors?

Azure’s new HDv2 and HXv2 VM series will both use 6th Gen AMD EPYC “Venice” processors. According to AMD, HDv2 targets agentic AI and data pipelines, while HXv2 is designed for semiconductor design and broader engineering workloads on Azure.

How will AMD Pensando DPUs be used in Microsoft Azure’s AI networking backend?

Microsoft is broadening deployment of AMD Pensando DPUs in its AI backend networking and select Azure services. According to AMD, these DPUs will support Azure networking services and integrate with Azure Boost to improve networking performance at cloud scale.

How are AMD technologies being integrated with Azure Boost to enhance cloud networking?

AMD and Microsoft are integrating AMD silicon, including Pensando technologies, with Azure Boost to scale networking performance. According to AMD, this collaboration targets improved efficiency and connection processing across Azure’s infrastructure as AI workloads and demand continue to accelerate.

What AI workloads will benefit from AMD-powered infrastructure on Microsoft Azure?

Frontier model builders and enterprise customers will both use AMD-powered infrastructure on Azure. According to AMD, frontier model builders can train and serve large-scale AI models, while enterprises can deploy and scale production AI workloads via Azure Foundry Managed Compute.