Supermicro and Verda Deliver Sustainable, Full-Stack AI Cloud Infrastructure for Next-Generation AI Workloads

Supermicro (NASDAQ: SMCI) announced that European AI cloud provider Verda is deploying its latest liquid-cooled, NVIDIA Blackwell-accelerated, rack-scale systems to power next-generation AI workloads across Europe, the US, and Asia.

Rhea-AI Summary

Supermicro (NASDAQ: SMCI) announced that European AI cloud provider Verda is deploying its latest liquid-cooled, NVIDIA Blackwell-accelerated, rack-scale systems to power next-generation AI workloads across Europe, the US, and Asia.

The full-stack AI cloud runs on 100% renewable energy, reuses excess heat to help warm up to 15,000 homes, and targets large language models, multimodal AI, robotics, and enterprise AI applications.

Argus May 27 session

+2.94% close to close 0.9x rel. volume Open Argus

Details

News Market Reaction – SMCI

On May 27, the day this news came out, SMCI closed 2.94% above the previous close.

Data tracked by StockTitan Argus for the May 27 session.

Key Figures

Renewable energy use: 100% renewable energy Residential heating impact: 15,000 homes

Renewable energy use

100% renewable energy

Power source for Verda data centers

Residential heating impact

15,000 homes

Homes potentially heated by repurposed data center heat

Previous AI Reports

5 past events · Latest: Apr 28

Same Type 5 events

1. Apr 28

   AI infrastructure expansion

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   Expanded DCBBS portfolio with Arm-based and OCP systems for AI and HPC.

2. Apr 27

   Campus expansion

   24h Move

   -4.2%

   Announced new 32.8-acre DCBBS campus to boost AI data center capacity.

3. Apr 13

   Edge AI launch

   24h Move

   +2.8%

   Launched compact, energy-efficient edge AI systems for multiple industries.

4. Mar 18

   GPU portfolio expansion

   24h Move

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   Expanded accelerated computing lineup with RTX PRO Blackwell GPUs and Vera CPU.

5. Mar 17

   AI storage server

   24h Move

   -1.1%

   Unveiled NVIDIA BlueField-4 STX storage server to speed AI inference workloads.

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

Key Terms

liquid-cooled, large language model, serverless containers, managed inference endpoints, +1 more

5 terms

liquid-cooled technical

"Verda deploys Supermicro's latest liquid-cooled NVIDIA Blackwell-accelerated systems"

A liquid-cooled system uses a circulating fluid (like water or a special coolant) to carry heat away from electronic components or machinery instead of relying on air. For investors, this signals equipment designed for higher performance, tighter temperature control and often greater reliability, but also typically higher upfront cost and potential maintenance needs — much like a car’s radiator versus a basic fan.

large language model technical

"supports a wide range of use cases, including large language model training"

A large language model is a computer system trained on vast amounts of text to understand and generate human-like writing, like a very well-read virtual assistant that can summarize, draft, translate, or answer questions. Investors care because it can change how businesses operate and compete—boosting productivity, cutting costs, or enabling new products—while also creating risks around accuracy, regulation, and security that can affect revenue and valuation.

serverless containers technical

"through self-service instances and clusters, serverless containers, and managed inference endpoints"

Serverless containers are a cloud computing approach where applications packaged in lightweight units (containers) run without users managing the underlying servers; the cloud provider starts, scales and bills these units automatically as demand changes. Think of it like hiring on-demand taxis for deliveries instead of owning a fleet: companies can move faster, pay only for actual usage, and scale up or down instantly. For investors this can mean lower operating costs, faster product rollouts, and different vendor or technology risks that affect profitability and growth.

managed inference endpoints technical

"through self-service instances and clusters, serverless containers, and managed inference endpoints"

Managed inference endpoints are cloud-hosted, ready-to-use services that run trained machine-learning models to produce predictions or decisions on demand, while the provider handles the underlying servers, scaling, updates and security. For investors, they matter because they turn complex AI models into reliable, scalable production tools without heavy internal IT investment, affecting a company’s costs, speed to market, operational risk and ability to deliver AI-driven products or regulatory-compliant services.

rack-scale technical

"NVIDIA GPU-accelerated, rack-scale systems to power its modern AI cloud infrastructure"

Rack-scale describes a data center approach where an entire server rack — the metal shelf holding many computers, storage units and network gear — is designed and managed as a single, integrated system rather than a collection of separate machines. For investors, rack-scale matters because it can lower operating costs, speed deployment, and improve performance per dollar for cloud and enterprise customers, affecting demand for hardware, software and services tied to large-scale computing.

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

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• Verda deploys Supermicro's latest liquid-cooled NVIDIA Blackwell-accelerated systems to power next-generation AI workloads at scale
• Vertically integrated, full-stack AI cloud delivers high-performance, secure, energy efficient, and compliant AI compute
• Excess heat from 100% renewable energy-powered data centers to support heating of up to 15,000 homes 

SAN JOSE, Calif., May 27, 2026 /PRNewswire/ -- Super Micro Computer, Inc. (NASDAQ: SMCI), an AI, Enterprise, Storage, and 5G/Edge Total IT Solution Provider featuring Data Center Building Block Solutions® (DCBBS), today announced that Verda, a leading European AI cloud provider, has selected Supermicro's NVIDIA GPU-accelerated, rack-scale systems to power its modern AI cloud infrastructure across Europe. The deployment enables Verda to deliver high-performance AI-native infrastructure serving frontier model developers, AI-native scaleups, and regulated enterprises, across Europe, the US, and Asia.

"Supermicro is happy to collaborate with Verda to bring the next generation of AI infrastructure to the world," said Charles Liang, president and CEO of Supermicro. "Our DCBBS design, engineering, and support expertise, combined with the latest NVIDIA Blackwell-based systems, enable customers like Verda to rapidly deploy high-performance, energy-efficient AI infrastructure at scale."

Read the full case study here: Verda Success Story

"Our mission is to empower pioneering teams across the globe with AI-native infrastructure. Partnering with Supermicro helps us deliver on that promise at scale," said Ruben Bryon, Founder and CEO of Verda. "The AI cloud built for the next decade is on-demand, full-stack, and purpose-built for the workloads customers actually run. That's what we're building."

Verda's full-stack AI cloud platform, combined with Supermicro's advanced AI systems built on the latest NVIDIA Blackwell and Blackwell Ultra architectures, supports a wide range of use cases, including large language model training, multimodal AI, robotics, and enterprise AI applications. The solution supports the growing market for immediate access to NVIDIA AI infrastructure through self-service instances and clusters, serverless containers, and managed inference endpoints. In addition, Verda operates using 100% renewable energy and is collaborating with local utilities to repurpose excess heat from its data centers to support residential heating of up to 15,000 local homes, further advancing its sustainability goals.

Leveraging Supermicro's end-to-end design, manufacturing, and global deployment expertise, Verda deployed a range of advanced solutions, including NVIDIA GB300 NVL72 rack-scale systems, NVIDIA HGX B300 and NVIDIA HGX B200 systems, and NVIDIA RTX PRO 6000 Blackwell Server Edition-accelerated systems.

Supermicro's pre-tested and validated systems, along with its rack-scale integration capabilities, enabled Verda to accelerate deployment timelines while reducing operational risk and optimizing system performance. The highly energy-efficient architecture of these systems also helps lower total cost of ownership (TCO), supporting Verda's focus on sustainability and long-term operational efficiency.

DCBBS delivers complete, modular AI infrastructure built from validated components and subsystems, enabling flexible deployment from individual servers and networking to full rack-scale and data center-level solutions, including software and services.

Supermicro continues to lead the industry with its comprehensive portfolio of AI infrastructure solutions, enabling organizations worldwide to deploy scalable, efficient, and environmentally responsible AI data centers.

About Super Micro Computer, Inc.
Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first-to-market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro's motherboard, power, and chassis design expertise further enables our development and production, enabling next-generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Taiwan, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions® allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).

Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

All other brands, names, and trademarks are the property of their respective owners.

 

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SOURCE Super Micro Computer, Inc.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What did Supermicro (NASDAQ: SMCI) announce with Verda on May 27, 2026?

Supermicro announced that Verda is deploying its liquid-cooled, NVIDIA Blackwell-accelerated systems to build a full-stack AI cloud. According to Supermicro, this infrastructure supports high-performance, energy-efficient AI workloads for customers in Europe, the US, and Asia.

How does the Supermicro and Verda AI cloud support next-generation AI workloads?

The AI cloud combines Supermicro’s NVIDIA Blackwell and Blackwell Ultra-based systems with Verda’s full-stack platform to support advanced AI workloads. According to Supermicro, it enables large language model training, multimodal AI, robotics, and enterprise AI through self-service instances, clusters, containers, and managed inference endpoints.

How does the Supermicro–Verda AI infrastructure address sustainability goals?

Verda operates its Supermicro-powered AI cloud using 100% renewable energy and repurposes excess data center heat. According to Supermicro, this recovered heat can support residential heating for up to 15,000 local homes, aligning the deployment with long-term sustainability and efficiency objectives.

Which NVIDIA Blackwell systems are deployed by Verda with Supermicro for its AI cloud?

Verda uses several Supermicro systems based on NVIDIA Blackwell architectures for its AI cloud. According to Supermicro, deployments include NVIDIA GB300 NVL72 rack-scale systems, NVIDIA HGX B300 and HGX B200 systems, and NVIDIA RTX PRO 6000 Blackwell Server Edition-accelerated systems.

What AI use cases does the Supermicro-powered Verda cloud focus on?

The Supermicro-powered Verda platform targets a broad range of AI applications, including large language model training, multimodal AI, robotics, and enterprise AI workloads. According to Supermicro, the infrastructure is designed for frontier model developers, AI-native scaleups, and regulated enterprises.