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NVIDIA Vera Rubin Delivers World-Class Supercomputers for Science

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NVIDIA (NASDAQ:NVDA) introduced the Vera Rubin platform, a rack-scale supercomputer for AI and high-performance scientific computing. Each system can deliver over 7 exaflops of AI performance, 5 petaflops of FP64 and up to 144 GPUs, targeting climate, energy and advanced research workloads.

Leading centers including LRZ, NERSC and Los Alamos are building next-generation systems on Vera Rubin, while global OEMs plan liquid-cooled Vera Rubin NVL4 racks, expected to be available in Q4.

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AI-generated analysis. Not financial advice.

Positive

  • Vera Rubin platform offers over 7 exaflops of AI performance per system
  • Provides 5 petaflops of native FP64 for high-precision scientific simulation
  • Supports dense configurations with up to 144 GPUs per rack
  • LRZ Blue Lion system targets about 30x its current computing power
  • NERSC Doudna and LANL Mission/Vision/Veritas adopt Vera Rubin for next-gen systems
  • Major OEMs will ship Vera Rubin NVL4 racks starting in Q4

Negative

  • None.

News Market Reaction – NVDA

-1.36%
1 alert
-1.36% News Effect

On the day this news was published, NVDA declined 1.36%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

AI performance: 7 exaflops FP64 performance: 5 petaflops GPU density: 144 GPUs +3 more
6 metrics
AI performance 7 exaflops AI for science on Vera Rubin platform
FP64 performance 5 petaflops Native double-precision (FP64) performance per Vera Rubin system
GPU density 144 GPUs Maximum GPUs per Vera Rubin rack-scale supercomputing system
Computing power increase 30x Blue Lion expected compute vs LRZ’s current system
Blue Lion start 2027 Scheduled online date for LRZ Blue Lion supercomputer
System availability Q4 Vera Rubin NVL4-based systems from manufacturers expected in Q4 this year

Peers on Argus

NVDA was up before this release, while only one tracked peer (MU) appeared in mo...
1 Up

NVDA was up before this release, while only one tracked peer (MU) appeared in momentum scans, also moving higher. With fewer than two peers in momentum, the move screens as stock-specific rather than a broad sector rotation.

Historical Context

5 past events · Latest: Jun 12 (Positive)
Pattern 5 events
Date Event Sentiment Move Catalyst
Jun 12 AI partnership Positive +0.1% Six-year Sharon AI compute collaboration using NVIDIA GPUs and revenue-sharing model.
Jun 11 Governance / meeting Neutral +0.1% Announcement of 2026 virtual annual stockholder meeting and access details.
Jun 11 AI infrastructure Positive +2.2% KKR launches Helix Digital Infrastructure with NVIDIA among founding investors.
Jun 07 Tech partnership Positive +1.6% Multiyear SK hynix partnership to co-develop memory for NVIDIA AI platforms.
Jun 07 AI infrastructure Positive +1.6% Plan with SK Telecom for gigawatt-scale AI cloud in Korea using NVIDIA DSX.
Pattern Detected

Recent AI and partnership-related announcements have generally coincided with modestly positive 24-hour price reactions.

Regulatory & Risk Context

Short Interest: 1.24%
Short Interest
1.24% of float
0% 15% 30%+
low as of 2026-05-29 Days to cover: 1.58

Reported short positioning appears relatively low, suggesting constrained short-squeeze potential and generally reduced volatility driven specifically by short covering.

Market Pulse Summary

This announcement adds a rack-scale AI supercomputing platform delivering up to 7 exaflops and 5 pet...
Analysis

This announcement adds a rack-scale AI supercomputing platform delivering up to 7 exaflops and 5 petaflops FP64 per system, extending NVIDIA’s role in scientific HPC. Prior AI partnerships have drawn modestly positive reactions, while insider activity has recently skewed toward net selling.

Key Terms

fp64, cuda-x, nvlink, dpu, +1 more
5 terms
fp64 technical
"With 7 exaflops of AI for science and 5 petaflops of native FP64 support"
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.
cuda-x technical
"combining native double-precision (FP64) performance, NVIDIA CUDA-X™ libraries and the full-stack"
Cuda-X is a computer technology designed to significantly speed up complex calculations and data processing tasks by using advanced hardware and software techniques. For investors, this means faster and more efficient analysis of large amounts of information, potentially leading to quicker decision-making and a competitive edge in markets. Think of it as upgrading from a bicycle to a high-speed train for handling demanding digital workloads.
dpu technical
"NVIDIA ConnectX®-9 SuperNICs and NVIDIA BlueField®-4 DPUs in a direct liquid-cooled architecture"
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.
infiniband technical
"NVIDIA Vera Rubin, Vera CPU and NVIDIA Quantum-X800 InfiniBand for its next-generation Mission"
Infiniband is a high-speed data transport technology used inside data centers to move large amounts of information quickly and with very little delay, often used for servers, storage and computing clusters. Investors should care because it acts like a multilane expressway for data—companies that build, use or support such fast networks can gain competitive advantages in cloud services, high-performance computing and AI workloads, which can affect costs and revenue potential.

AI-generated analysis. Not financial advice.

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With 7 Exaflops of AI for Science and 5 Petaflops of Native FP64 Performance, Vera Rubin Packs TOP500 Supercomputing in a Single Rack

News Summary:

  • NVIDIA Vera Rubin accelerates the world’s most demanding HPC workloads including climate modeling, computational fluid dynamics and energy exploration.
  • NVIDIA Vera Rubin and Vera CPU to bring agentic AI to scientific computing.
  • Leibniz Supercomputing Centre, National Energy Research Scientific Computing Center and Los Alamos National Laboratory next-generation supercomputers based on Vera Rubin will advance open science, energy exploration, earth sciences and national security.
  • Global system manufacturers Bull, Dell Technologies, GIGABYTE, HPE and Supermicro announce custom high-density Vera Rubin supercomputing systems with up to 144 GPUs per rack.

HAMBURG, Germany, June 22, 2026 (GLOBE NEWSWIRE) -- ISC High Performance 2026 -- NVIDIA today announced the NVIDIA Vera Rubin platform delivers world-class supercomputers for science, combining native double-precision (FP64) performance, NVIDIA CUDA-X™ libraries and the full-stack capabilities of the NVIDIA AI platform.

Bringing together NVIDIA’s complete accelerated computing stack — from hardware to software and optimized scientific libraries — Vera Rubin accelerates AI, simulation and data-intensive research, transforming each system rack into a supercomputer for scientific discovery and industrial innovation.

Built to unite high-precision simulation, AI and data analytics, the Vera Rubin platform is designed for the era of agents to advance scientific discovery by accelerating workloads such as climate modeling, computational fluid dynamics, quantum chemistry and energy exploration.

With more than 7 exaflops of AI for science, 5 petaflops of native FP64 support and extreme memory bandwidth with up to 144 GPUs, a Vera Rubin supercomputing system can deliver performance on par with systems on the TOP500 list of the world’s most powerful supercomputers. This gives research centers and industrial enterprises the performance to run larger models, improve fidelity and shorten time to discovery.

“Scientific discovery is now a race between the complexity of the world’s greatest challenges and the computing systems built to solve them,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA Vera Rubin is a new instrument for science — a rack-scale supercomputer that brings simulation, AI and data processing together to help researchers and industries design and discover faster than ever.”

Vera Rubin Advances Scientific Computing
The NVIDIA Vera Rubin platform combines NVIDIA Rubin GPUs and NVIDIA Vera CPUs connected via high-speed NVIDIA NVLink™-C2C, NVIDIA ConnectX®-9 SuperNICs and NVIDIA BlueField®-4 DPUs in a direct liquid-cooled architecture.

For scientific computing, Vera Rubin provides native FP64 capabilities to accelerate simulations that need the highest accuracy as well as the AI performance needed for surrogate models, scientific foundation models and AI-assisted analysis. Researchers can use a single platform to run traditional numerical solvers, train and deploy AI models, stream data from instruments and couple simulation with real-time analytics.

Building Next-Generation Supercomputers
Leading supercomputing centers and industrial innovators are adopting Vera Rubin to build a new generation of AI and high-performance computing (HPC) systems.

At Leibniz Supercomputing Centre (LRZ), Blue Lion will be powered by the NVIDIA Vera Rubin platform and second-generation exascale-class HPE Cray supercomputing, delivering approximately 30x the computing power of LRZ’s current system. Scheduled to come online in 2027, Blue Lion will support researchers across astrophysics, environmental and life sciences by enabling classic simulation and modeling, machine learning approaches and the use of surrogate models all in one.

At the National Energy Research Scientific Computing Center, Doudna — the next flagship U.S. Department of Energy (DOE) supercomputer at Lawrence Berkeley National Laboratory — will be a Dell Technologies system powered by NVIDIA Vera Rubin and connected to DOE scientific instruments through the Energy Sciences Network. Doudna is being built for large-scale HPC workloads, AI training and inference, and data-intensive workflows across molecular dynamics, high-energy physics, fusion energy, materials science, drug discovery and astronomy.

Los Alamos National Laboratory (LANL) has selected NVIDIA Vera Rubin, Vera CPU and NVIDIA Quantum-X800 InfiniBand for its next-generation Mission, Vision and Veritas systems, to be built and delivered by HPE using the latest HPE Cray supercomputing system.

Mission is designed for national security workloads, while Vision with the Vera CPU will advance open science research, including foundation models, agentic AI and complex simulations spanning materials science, nuclear energy, fusion energy and quantum computing. Announced at ISC, the new Veritas system, with NVIDIA Rubin GPUs and standalone Vera CPU partitions, is designed for agents to advance scientific discovery at LANL.

The accelerated computing systems will be built using the NVIDIA GPUs in a single unified system. For modern supercomputing applications, NVL4 optimizes density, energy efficiency and operational simplicity.

Global system manufacturers including Bull, Dell Technologies, GIGABYTE, HPE and Supermicro are bringing NVIDIA Vera Rubin NVL4 to market through direct liquid-cooled AI and HPC racks. The supercomputing racks, built with Vera Rubin NVL4, are designed to help research institutions, national labs and enterprises deploy rack-scale accelerated computing.

The systems expand the NVIDIA accelerated computing ecosystem for scientific discovery, giving organizations a common platform for simulation, AI, data processing and visualization — from individual rack deployments to large-scale supercomputing centers.

Availability
NVIDIA Vera Rubin NVL4-based systems are expected to be available from global system manufacturers in Q4 this year.

About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.

For further information, contact:
Alex Shapiro
Corporate Communications
NVIDIA Corporation
press@nvidia.com

Certain statements in this press release including, but not limited to, statements as to: NVIDIA Vera Rubin being a new instrument for science — a rack-scale supercomputer that brings simulation, AI and data processing together to help researchers and industries design and discover faster than ever; expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments, and related trends and drivers; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing product and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2026 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, ConnectX, CUDA-X and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at:
https://www.globenewswire.com/NewsRoom/AttachmentNg/d7791590-04ac-47fa-b7e2-df4b034d38dd


FAQ

What is NVIDIA Vera Rubin and why is it important for NVDA investors?

NVIDIA Vera Rubin is a rack-scale supercomputing platform for AI and scientific workloads. According to NVIDIA, it combines Rubin GPUs, Vera CPUs and CUDA-X software, targeting climate modeling, energy exploration and advanced research, which could deepen NVIDIA’s position in high-performance computing markets.

How powerful are NVIDIA Vera Rubin supercomputers announced in June 2026 for NVDA?

Vera Rubin systems can provide over 7 exaflops of AI for science and 5 petaflops of native FP64. According to NVIDIA, this brings performance comparable to TOP500 supercomputers into a single rack, enabling larger models and faster scientific discovery on a smaller footprint.

Which research centers are deploying NVIDIA Vera Rubin systems and how might this impact NVDA?

Leibniz Supercomputing Centre, NERSC and Los Alamos National Laboratory are building next-generation systems on Vera Rubin. According to NVIDIA, LRZ’s Blue Lion aims for about 30x current power, signaling strong institutional adoption of NVIDIA’s accelerated computing stack for open science and national security workloads.

When will NVIDIA Vera Rubin NVL4-based systems be available to customers and NVDA stakeholders?

Vera Rubin NVL4-based systems are expected to be available from global manufacturers in Q4 this year. According to NVIDIA, partners like Dell Technologies, HPE, GIGABYTE, Bull and Supermicro will offer liquid-cooled AI and HPC racks tailored for research institutions and enterprises.

What technologies underpin the NVIDIA Vera Rubin platform launched at ISC High Performance 2026?

Vera Rubin combines Rubin GPUs, Vera CPUs, NVLink-C2C, ConnectX-9 SuperNICs and BlueField-4 DPUs in a liquid-cooled design. According to NVIDIA, this unified stack lets researchers run simulations, train AI, stream data and perform real-time analytics on a single accelerated computing platform.

How does the LRZ Blue Lion supercomputer based on NVIDIA Vera Rubin compare to its current system?

Blue Lion is planned to deliver approximately 30x the computing power of LRZ’s current system. According to NVIDIA, the Vera Rubin-based HPE Cray supercomputer will support astrophysics, environmental and life sciences using simulation, machine learning and surrogate models on one platform.