Supermicro Delivers NVIDIA Vera Rubin NVL4 End-to-End DCBBS Blueprint with Native FP64 Performance for Converged HPC and AI Infrastructure

Rhea-AI Summary

Supermicro (NASDAQ: SMCI) introduced a Data Center Building Block Solutions (DCBBS) Blueprint for HPC and AI based on the NVIDIA Vera Rubin NVL4 platform. A 3.2MW Scalable Unit supports up to 1,152 NVIDIA Rubin GPUs and 576 NVIDIA Vera CPUs in eight liquid-cooled racks.

The design includes DLC-2 direct liquid cooling (up to 362 kW per rack), NVIDIA Quantum-X800 InfiniBand networking, and integrated power distribution. Supermicro provides end-to-end services from site survey and design to manufacturing, delivery, on-site deployment, and support for research and supercomputing centers.

News Market Reaction – SMCI

+15.66%

151 alerts

+15.66% Session close to close

+15.3% Peak in 8 hr 25 min

$23.80B Market Cap

1.3x Rel. Volume

In the Jun 22 session, SMCI gained 15.66%, reflecting a significant positive market reaction. Argus tracked a peak move of +15.3% during that session. Our momentum scanner triggered 151 alerts that day, indicating very high trading interest and price volatility.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock surged +15.7% in the session following this news. A strong positive reaction aligns with S...

Analysis

The stock surged +15.7% in the session following this news. A strong positive reaction aligns with SMCI’s history of sizable moves around AI launches despite an average AI-tag move of -2.19%. Financing flexibility and elevated short interest could temper follow-through if sentiment reverses.

Key Figures

NVIDIA Rubin GPUs: up to 1,152 GPUs NVIDIA Vera CPUs: 576 CPUs Scalable Unit power: 3.2MW +5 more

8 metrics

NVIDIA Rubin GPUs up to 1,152 GPUs Per NVIDIA Vera Rubin NVL4 Scalable Unit

NVIDIA Vera CPUs 576 CPUs Per NVL4 Scalable Unit

Scalable Unit power 3.2MW AI and HPC Scalable Unit capacity

Rack cooling envelope 362 kW per rack DLC-2 Direct Liquid Cooling capacity

Compute racks 8 liquid-cooled racks Per NVIDIA Vera Rubin NVL4 Scalable Unit

Total nodes 288 nodes Across 8 compute racks per Scalable Unit

In-row CDUs 3 cooling distribution units Per Scalable Unit in 2+1 redundant configuration

Power shelves 8× 72 kW Per compute rack delivering busbar power

Previous AI Reports

5 past events · Latest: Jun 11 (Negative)

Same Type Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
Jun 11	Equity deal pricing	Negative	+9.2%	Priced large common and preferred equity offerings to fund sizable AI orders.
Jun 09	Equity financing plan	Negative	-28.0%	Announced proposed $7B equity and equity-linked financings for AI server components.
Jun 02	AMD Helios platform	Positive	+7.0%	Expanded rack-scale AI leadership with AMD Helios GPU platform for large AI workloads.
May 27	AI cloud deployment	Positive	+2.9%	Verda deploying Supermicro liquid-cooled, NVIDIA-accelerated systems for AI cloud globally.
Apr 28	AI infra expansion	Positive	-2.1%	Expanded DCBBS with new Arm-based and OCP systems targeting next-gen AI infrastructure.

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

Pattern Detected

AI-tagged announcements show mixed reactions, with both strong rallies and sharp selloffs around major AI infrastructure and financing news.

Key Terms

fp64, direct liquid cooling, cooling distribution units, nvidia quantum-x800 infiniband, +1 more

5 terms

fp64 technical

"pairing traditional FP64 double-precision simulation with accelerated computing and AI methods"

fp64 is a computer number format that stores values using 64 bits to give high numeric precision and a wide range of values, often called double precision. Investors care because higher precision changes the accuracy and stability of financial models, scientific simulations and machine‑learning results, and it influences what kind of chips and infrastructure are needed—like choosing a finer ruler that gives more exact measurements but can be slower, hotter and costlier to use.

direct liquid cooling technical

"DLC-2 Direct Liquid Cooling supports 362 kW per rack with 3x in-row CDUs"

Direct liquid cooling is a method that removes heat from electronic components by bringing a coolant into close contact with the parts that generate heat, rather than relying on fans and air flow. For investors, it matters because it enables denser, more energy-efficient and potentially more reliable data centers or computing equipment—think of it as swapping a box fan for a targeted water jacket—lowering operating costs and supporting faster, higher-performance hardware.

cooling distribution units technical

"3x in-row cooling distribution units (up to 1.8MW each) per Scalable Unit"

Cooling distribution units are pieces of equipment that deliver cooled air or chilled fluid from a central cooling source to the places that need temperature control, such as server rooms, manufacturing lines, or refrigerated storage. Think of them like the plumbing or ductwork for cold: they route and regulate the cooling so sensitive equipment or products stay within safe temperatures. Investors care because efficient units lower operating costs, protect assets, and can affect a facility’s energy use and reliability—factors that influence profitability and risk.

nvidia quantum-x800 infiniband technical

"NVIDIA Quantum-X800 InfiniBand compute fabric across dedicated networking switch racks"

A high-speed data center networking product that combines advanced InfiniBand technology with specialized hardware to link servers and accelerator cards for demanding computing tasks. Investors care because this kind of interconnect acts like a super-fast highway between machines—speeding up workloads, boosting efficiency and capacity in data centers, and influencing sales, capital spending and competitive advantage in cloud, AI and high-performance computing markets.

busbar power technical

"8x 72 kW power shelves per compute rack delivering busbar power for the 362 kW rack"

Busbar power is the amount of electrical energy a solid metal conductor — the busbar — is designed to carry and distribute inside power plants, substations, industrial sites, data centers or large battery systems. Think of the busbar as a highway for electricity and busbar power as its traffic capacity: it determines how much load the system can handle, affects reliability and safety, and influences upgrade costs and expansion plans that matter to investors assessing operational capacity and capital needs.

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

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• Total solution includes up to 1,152 NVIDIA Rubin GPUs and 576 NVIDIA Vera CPUs in liquid-cooled racks—3.2MW Scalable Unit delivers next-generation performance for AI workloads and FP64 simulation, scalable to research clusters of any size
• DLC-2 Direct Liquid Cooling supports 362 kW per rack with 3x in-row CDUs per Scalable Unit plus cold plates, manifolds, and SMC PG25-A ultra-high electrical impedance coolant
• End-to-end solution accelerates AI and HPC infrastructure buildout for scientific research starting with project planning and site survey, through manufacturing and testing, to on-site deployment

SAN JOSE, Calif. and HAMBURG, Germany, June 22, 2026 /PRNewswire/ -- Super Micro Computer, Inc. (NASDAQ: SMCI), an AI, Enterprise, Storage, and 5G/Edge Total Solution Provider introduces the Data Center Building Block Solutions® (DCBBS) Blueprint for HPC based on the NVIDIA Vera Rubin NVL4 platform, announced at ISC 2026. Following Supermicro's DCBBS Blueprints for NVIDIA Vera Rubin NVL72 and NVIDIA HGX Rubin NVL8 introduced at Computex, the Blueprint for HPC and AI applies the same end-to-end methodology to scientific computing. The Blueprint is based on Supermicro's DCBBS, which provide the necessary compute, networking, advanced liquid cooling, power distribution, and site infrastructure, delivered by a team of Supermicro DCBBS experts to accelerate time-to-online for research institutions and supercomputing centers.

"Scientific discovery has always been driven by the tools available to researchers, and AI has become an essential part of the research process," said Charles Liang, president and CEO of Supermicro. "The institutions that accelerate infrastructure deployment will lead the next generation of breakthroughs. With our DCBBS Blueprints for NVIDIA Vera Rubin NVL4, research organizations can confidently deploy HPC and AI infrastructure at any scale, knowing that it is backed by Supermicro's proven experience building some of the world's largest liquid-cooled clusters."

Click here for more information on DCBBS.

Researchers increasingly rely on a converged approach to computing, pairing traditional FP64 double-precision simulation with accelerated computing and AI methods, revolutionizing time-to-discovery across climate research, drug discovery, materials science, and energy. The NVIDIA Vera Rubin NVL4 platform is built for this convergence, and the DCBBS Blueprint for HPC defines the steps to deploy it successfully, backed by Supermicro's proven track-record building the world's largest liquid-cooled supercomputing clusters featuring over 100,000 GPUs.

The Blueprint covers the full end-to-end sequence that Supermicro has used to complete large-scale liquid-cooled projects at record-breaking speeds. On-site facility surveys conducted by the Supermicro experts assess loading dock access, data hall measurements and clearances, floor load ratings, and existing power and cooling infrastructure to inform a design proposal tailored to each project. Solution integration begins well before delivery, with racking, stacking, cabling, and system-level (L10) and cluster-level (L11) testing performed in Supermicro's global manufacturing facilities. White-glove delivery and on-site integration cover rack placement, power and cooling connections, network cabling, commissioning, and on-site solution validation, with ongoing support options including on-site response times as fast as 4 hours for mission-critical uptime.

A Scalable AI and HPC Solution to Modernize Computing Infrastructure for Scientific Research

The Supermicro DCBBS Blueprint for HPC and AI based on the NVIDIA Vera Rubin NVL4 Scalable Unit contains the following, which can be multiplied to deploy clusters of any size, from 3.2MW to 1GW:

• 8x liquid-cooled compute racks in customized 52U, 750mm-wide enclosures each housing 36 NVIDIA Vera Rubin NVL4 nodes within a 362 kW envelope, for a total of 288 nodes, up to 1,152 NVIDIA Rubin GPUs, and 576 NVIDIA Vera CPUs per Scalable Unit
• Advanced Direct Liquid Cooling technology stack (DLC-2), including 3x in-row cooling distribution units (up to 1.8MW each) per Scalable Unit in a 2+1 redundant configuration, direct-to-chip copper cold plates, and vertically mounted cooling distribution manifolds, featuring Supermicro SMC PG25-A coolant engineered for exceptional chemical and thermal stability
• NVIDIA Quantum-X800 InfiniBand compute fabric across dedicated networking switch racks with fully liquid-cooled options available, providing the high-bandwidth scale-out interconnect for distributed scientific and AI workloads
• Rack power and management: 8x 72 kW power shelves per compute rack delivering busbar power for the 362 kW rack envelope, with two ToR management switches per rack for out-of-band control

Configurations for HPC and AI based on the NVIDIA GB200 NVL4 are also available for immediate deployment.

Supermicro 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.

Supermicro will showcase its HPC and AI infrastructure solutions at ISC 2026 in Hall H, B10. For more information, visit www.supermicro.com.

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

What is the Supermicro (NASDAQ: SMCI) NVIDIA Vera Rubin NVL4 DCBBS Blueprint announced on June 22, 2026?

The Blueprint is an end-to-end HPC and AI data center design using the NVIDIA Vera Rubin NVL4 platform. According to Supermicro, it combines compute, networking, liquid cooling, power, and services to help research institutions deploy scalable, converged FP64 simulation and AI infrastructure.

How many GPUs and CPUs does Supermicro's NVIDIA Vera Rubin NVL4 Scalable Unit for SMCI support?

Each Scalable Unit supports up to 1,152 NVIDIA Rubin GPUs and 576 NVIDIA Vera CPUs across eight liquid-cooled racks. According to Supermicro, this configuration delivers 3.2MW of capacity and can be multiplied to build research clusters ranging from 3.2MW to 1GW.

How does Supermicro's DLC-2 direct liquid cooling work in the NVIDIA Vera Rubin NVL4 solution for SMCI?

DLC-2 uses direct-to-chip copper cold plates and vertical manifolds to cool high-density racks. According to Supermicro, each rack supports 362 kW, with three in-row cooling distribution units per Scalable Unit and SMC PG25-A coolant engineered for chemical and thermal stability.

What workloads is the Supermicro SMCI NVIDIA Vera Rubin NVL4 Blueprint designed to support?

The Blueprint targets converged HPC FP64 simulation and AI workloads in scientific research. According to Supermicro, it is aimed at fields such as climate research, drug discovery, materials science, and energy, pairing traditional double-precision computing with accelerated AI methods.

How can research institutions scale Supermicro's SMCI NVIDIA Vera Rubin NVL4 clusters?

Institutions can scale by multiplying the 3.2MW Scalable Unit to build clusters up to 1GW. According to Supermicro, each unit includes eight compute racks, liquid cooling, networking, and power, enabling modular expansion for supercomputing centers of varying sizes.

What networking is used in Supermicro's NVIDIA Vera Rubin NVL4 DCBBS Blueprint for SMCI?

The solution uses NVIDIA Quantum-X800 InfiniBand for the compute fabric across dedicated switch racks. According to Supermicro, this high-bandwidth interconnect supports scale-out distributed scientific and AI workloads, with fully liquid-cooled networking options available for dense deployments.

Where will Supermicro showcase its NVIDIA Vera Rubin NVL4-based HPC and AI infrastructure at ISC 2026?

Supermicro plans to showcase its HPC and AI infrastructure solutions at ISC 2026 in Hall H, B10. According to Supermicro, the exhibit will feature its DCBBS-based platforms, including configurations built on the NVIDIA Vera Rubin NVL4 and NVIDIA GB200 NVL4 platforms.