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NVIDIA Unveils Vera, the CPU for Agents

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NVIDIA (NVDA) introduced Vera, a CPU designed for AI agents and data-center workloads, claimed to deliver 1.8x faster task completion than x86 processors. Vera targets agentic AI, reinforcement learning and data processing, aiming to improve tokens-per-dollar economics for modern AI factories.

Vera features 88 Olympus cores, Spatial Multithreading and LPDDR5X memory with up to 1.2TB/s bandwidth. It powers standalone servers, NVIDIA Vera Rubin GPU systems and Vera BlueField-4 STX AI storage platforms. Systems are expected from major OEMs and cloud providers starting this fall.

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AI-generated analysis. Not financial advice.

Positive

  • Vera delivers 1.8x faster task completion than x86 CPUs for AI workloads
  • Features 88 Olympus cores and up to 1.2TB/s LPDDR5X memory bandwidth
  • Acts as host CPU for Vera Rubin with up to 1.8TB/s NVLink-C2C bandwidth
  • Planned adoption by major AI labs and hyperscalers, including Anthropic, OpenAI and OCI
  • Broad OEM support from Dell, HPE, Lenovo, Supermicro and leading Taiwan builders
  • Vera systems available from system builders and cloud partners starting this fall

Negative

  • None.

Key Figures

Vera vs x86 speed: 1.8x faster Grace CPU shipments: 2.5 million NYSE message volume: more than 1.1 trillion messages per day +3 more
6 metrics
Vera vs x86 speed 1.8x faster Task completion speed vs x86 CPUs for agentic workloads
Grace CPU shipments 2.5 million Cumulative NVIDIA Grace CPU shipments to date
NYSE message volume more than 1.1 trillion messages per day Daily message processing volume at NYSE systems
Olympus cores 88 cores Core count in NVIDIA Vera’s Olympus CPU design
Memory bandwidth 1.2TB/s LPDDR5X memory subsystem bandwidth in Vera
CPU-GPU bandwidth 1.8TB/s NVLink-C2C coherent bandwidth between CPU and GPU

Market Reality Check

Price: $211.26 Vol: Volume 264,893,325 is 1.5...
high vol
$211.26 Last Close
Volume Volume 264,893,325 is 1.59x the 20-day average, indicating elevated trading interest ahead of this CPU launch news. high
Technical Shares trade above the 200-day MA, with price at $211.26 versus MA(200) at $187.65, reflecting a pre-existing uptrend.

Peers on Argus

NVDA fell 1.45% while close peers were mixed: AVGO +3.22%, MU +1.46%, but TSM -2...

NVDA fell 1.45% while close peers were mixed: AVGO +3.22%, MU +1.46%, but TSM -2.02%, AMD -1.28%, NXPI -3.67%. The lack of uniform direction suggests a stock-specific reaction rather than a sector-wide move.

Historical Context

5 past events · Latest: May 21 (Neutral)
Pattern 5 events
Date Event Sentiment Move Catalyst
May 21 Conference presentations Neutral -1.9% Announcements of upcoming appearances at major technology investor conferences.
May 20 Earnings results Positive -1.8% Record Q1 FY27 revenue and data center growth with higher dividend and buybacks.
May 19 AI partnership Positive -1.3% Collaboration on EnterpriseClaw to run next-generation AI agents in enterprises.
May 8 Board appointment Neutral +2.0% Addition of Suzanne Nora Johnson to the board and Audit Committee.
May 7 AI infrastructure deal Positive +1.8% Strategic partnership with IREN to deploy up to 5GW of AI infrastructure.
Pattern Detected

Recent history shows several strong, fundamentally positive announcements (notably earnings and AI partnerships) followed by negative or muted price reactions, indicating a tendency for good news to be met with consolidation or profit-taking.

Recent Company History

Over the past month, NVIDIA has reported record Q1 FY27 results with $81.6 billion in revenue, driven largely by $75.2 billion from Data Center, and expanded its buyback and dividend programs. It also announced large-scale AI infrastructure partnerships, including up to 5 gigawatts with IREN, and new collaborations around AI agents. Despite this, several of these positive updates coincided with modest selloffs, so today’s advanced AI CPU launch fits into an ongoing narrative of strong fundamentals alongside choppy near-term trading.

Market Pulse Summary

This announcement introduces NVIDIA Vera as a CPU focused on agentic AI, reinforcement learning and ...
Analysis

This announcement introduces NVIDIA Vera as a CPU focused on agentic AI, reinforcement learning and data processing, promising 1.8x faster task completion and up to 1.2TB/s memory bandwidth. It builds on nearly 2.5 million Grace CPU shipments and is backed by major cloud and OEM partners. In context of recent record quarterly results and large AI infrastructure deals, investors may track Vera adoption, ecosystem support, and how it contributes to NVIDIA’s broader data center growth story over time.

Key Terms

reinforcement learning, agentic AI, lpddr5x, nvlink-c2c, +1 more
5 terms
reinforcement learning technical
"workloads across industries, including agentic AI, reinforcement learning and data processing"
A type of artificial intelligence that learns by trial and error, receiving feedback from its actions to favor choices that lead to better outcomes. Think of it like a salesperson learning which pitches close deals by trying different approaches and keeping the ones that work. For investors, reinforcement learning matters because it can power smarter trading systems, optimize business operations, or improve products—potentially boosting efficiency and profits while also introducing model and execution risks.
agentic AI technical
"including agentic AI, reinforcement learning and data processing"
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.
lpddr5x technical
"Spatial Multithreading and a LPDDR5X memory subsystem that delivers up to 1.2TB/s"
LPDDR5X is a modern, low-power type of volatile memory used mostly in smartphones, tablets and other energy-sensitive devices to store working data temporarily while apps run. Think of it as a faster, more efficient short-term memory for a device — its speed and lower power use can improve performance and battery life, so adoption trends affect makers of chips and devices and can signal competitiveness in hardware design.
confidential computing technical
"It extends NVIDIA Confidential Computing at rack scale, protecting agentic workloads."
Confidential computing is a technology that keeps data secure while it is being processed or analyzed, even from the systems that run the calculations. Think of it like a locked box where sensitive information is kept safe inside, no matter what happens during the work. This helps protect private data from unauthorized access, making it especially important for businesses and investors concerned about data privacy and security.

AI-generated analysis. Not financial advice.

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1.8x Faster Than x86 Processors to Drive Diverse Workloads Across Industries, Generating More Data Center Token Revenue

News Summary:

  • NVIDIA launches high-performance, energy-efficient NVIDIA Vera CPUs to drive diverse workloads across industries, including agentic AI, reinforcement learning and data processing.
  • Vera serves as the CPU powering standalone Vera servers, NVIDIA Vera Rubin systems and Vera BlueField-4 STX AI storage platforms.
  • Global AI labs planning to adopt Vera to transform their AI factories include Anthropic, OpenAI and SpaceXAI, and hyperscalers ByteDance, CoreWeave and Oracle Cloud Infrastructure.
  • Manufacturers building standalone Vera CPU systems at scale include Dell Technologies, HPE, Lenovo and Supermicro, along with ASUS, Compal, Foxconn, GIGABYTE, Pegatron, Quanta Cloud Technology (QCT), Wistron and Wiwynn.

TAIPEI, Taiwan, May 31, 2026 (GLOBE NEWSWIRE) -- NVIDIA GTC Taipei -- NVIDIA today announced that the world’s technology leaders are planning to adopt NVIDIA Vera, the first CPU built for AI agents.

Now in full production, NVIDIA Vera is a new class of processor enabling 1.8x faster task completion compared with x86 CPUs to drive diverse workloads across industries — including agentic AI, reinforcement learning and data processing — generating more data center token revenue.

Building on the success of NVIDIA Grace™ CPUs, which have nearly 2.5 million shipments to date, Vera takes CPU performance and energy efficiency to new levels for the most demanding AI workloads in modern data centers — where agents move from answering basic questions to taking actions, running code, using tools and evaluating results.

Customers exploring the Vera CPU include finance leader NYSE, global AI labs Anthropic, OpenAI and SpaceXAI, and hyperscalers ByteDance, CoreWeave, Lambda, Nebius, Nscale and Oracle Cloud Infrastructure (OCI). Vera is also being integrated into AI infrastructure from world-leading system manufacturers such as Dell Technologies, HPE, Lenovo and Supermicro, along with Taiwan system builders.

“AI agents will be the largest users of computing,” said Jensen Huang, founder and CEO of NVIDIA. “Vera is the first CPU designed for that future — built to run agentic AI at hyperscale with extraordinary performance, efficiency and programmability.”

“At the NYSE, our focus is to optimize the latency, throughput and reliability of the systems underpinning our unrivaled infrastructure,” said Lynn Martin, president of NYSE Group. “The NYSE processes more than 1.1 trillion messages per day, and in collaboration with Redpanda and HPE, using NVIDIA Vera CPUs, we will be scaling our capacity while further optimizing latency to power a high-performance, resilient and AI-ready market infrastructure.”

Anthropic, the AI innovator behind Claude, is evaluating adding Vera to scale CPU-intensive agentic workloads.

“Scaling compute is an important accelerant for the growth of models,” said James Bradbury, head of compute at Anthropic. “We’re excited to see Vera emerge as a promising part of the ecosystem when solving for agentic workloads.”

OCI Supercluster powered by NVIDIA Vera represents the next frontier in hyperscale AI supercomputing.

“Oracle Cloud Infrastructure is rapidly scaling AI infrastructure to meet surging demand for training, inference and agentic AI,” said Mahesh Thiagarajan, executive vice president of Oracle Cloud Infrastructure. “By deploying NVIDIA Vera CPUs, OCI will support high-throughput reasoning and data processing workloads across next-generation AI environments.”

According to Phoronix, which offers a comprehensive, open source benchmarking suite, NVIDIA Vera delivered the fastest overall performance across agentic workloads including code compilation, Python, Java and database processing. These workloads sit on the critical path of modern AI factories, including for agent tool use and sandbox execution, where faster CPU performance delivers higher agent throughput and interactivity.

A Custom CPU for the Agentic Era
AI factory economics are shifting from cores per dollar to tokens per dollar, requiring CPUs that complete agentic, data-processing and orchestration work faster and more efficiently.

Vera is powered by Olympus, a custom NVIDIA CPU core engineered for the CPU work behind that shift, from Python runtimes and sandboxed code execution to orchestration logic and analytics pipelines.

Vera is built to process more instructions, anticipate application behavior and move data across large numbers of concurrent environments, queries and data processing tasks — featuring 88 Olympus cores, Spatial Multithreading and a LPDDR5X memory subsystem that delivers up to 1.2TB/s of bandwidth. This helps agents spend less time waiting on CPU-bound steps and lets AI factories keep accelerators moving.

The Vera CPU can also be deployed across the full AI factory — from the standalone CPU infrastructure to tightly coupled accelerated systems. Vera helps AI factories deliver higher end-to-end throughput and faster time to solution for users, improving responsiveness and efficiency across training, inference and agentic execution.

Vera serves as the host CPU for NVIDIA Vera Rubin platforms through second-generation NVIDIA NVLink™-C2C interconnect technology, which provides up to 1.8TB/s of coherent bandwidth between CPU and GPU. It extends NVIDIA Confidential Computing at rack scale, protecting agentic workloads.

The NVIDIA Vera BlueField-4 STX processor integrates Vera with high-performance networking, storage acceleration and in-silicon security to create secure-by-design AI-native data platforms.

Extensive Ecosystem Support
Vera CPUs are available in dense, liquid-cooled racks for large-scale agentic AI and reinforcement learning environments, as well as flexible two-socket air-cooled systems for enterprise, cloud, data processing and AI factory deployments.

Leading infrastructure providers offering Vera CPU-based systems include Aivres, ASRock Rack, ASUS, Compal, Dell, Foxconn, GIGABYTE, HPE, Hyve Solutions, Inventec, Lenovo, MiTAC Computing, MSI, Pegatron, Quanta Cloud Technology (QCT), Supermicro, Wistron and Wiwynn. Major original equipment manufacturers — Dell, HPE, Lenovo and Supermicro — will be offering Vera in standalone CPU server configurations, the first standard CPU option beyond x86.

Leading cloud service providers planning to deploy Vera CPUs include Akamai, ByteDance, Cloudflare, CoreWeave, Crusoe, Lambda, Nebius, Nscale, Oracle Cloud Infrastructure, Redpanda, Starburst, Together AI and Vultr.

Availability
Vera systems will be available from system builders and cloud partners starting this fall.

Watch Huang’s keynote and learn more at NVIDIA GTC Taipei.

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: AI agents will be the largest users of computing; 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 products 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; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; 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, NVIDIA Grace and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/dcb8c9e7-6d1b-44b9-ad24-3938eb6923ad


FAQ

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

NVIDIA Vera is a CPU built specifically for AI agents and data-center workloads. According to NVIDIA, Vera targets agentic AI, reinforcement learning and data processing, enabling faster task completion and improved data-center token economics, which may enhance NVIDIA’s competitive position in AI infrastructure.

How much faster is NVIDIA Vera compared with traditional x86 processors?

NVIDIA reports that Vera delivers 1.8x faster task completion than x86 CPUs for key workloads. According to NVIDIA, this applies to agentic AI, reinforcement learning and data processing tasks, potentially increasing agent throughput and responsiveness in modern AI factories and large-scale data centers.

What are the key technical specifications of the NVIDIA Vera CPU?

NVIDIA Vera features 88 custom Olympus cores, Spatial Multithreading and LPDDR5X memory supporting up to 1.2TB/s bandwidth. According to NVIDIA, Vera also connects to GPUs via second-generation NVLink-C2C providing up to 1.8TB/s coherent bandwidth, and underpins Vera BlueField-4 STX AI storage platforms.

Which cloud providers plan to deploy NVIDIA Vera CPUs?

According to NVIDIA, planned Vera adopters include Akamai, ByteDance, Cloudflare, CoreWeave, Crusoe, Lambda, Nebius, Nscale, Oracle Cloud Infrastructure, Redpanda, Starburst, Together AI and Vultr. These deployments aim to support training, inference, agentic AI and high-throughput data processing workloads in next-generation AI environments.

Which server manufacturers will offer systems based on NVIDIA Vera?

NVIDIA states that Vera systems will be offered by Aivres, ASRock Rack, ASUS, Compal, Dell, Foxconn, GIGABYTE, HPE, Hyve Solutions, Inventec, Lenovo, MiTAC Computing, MSI, Pegatron, QCT, Supermicro, Wistron and Wiwynn, spanning dense liquid-cooled and flexible air-cooled configurations.

When will NVIDIA Vera-based systems be available to customers?

According to NVIDIA, Vera systems will be available from system builders and cloud partners starting this fall. Offerings will include dense liquid-cooled racks for large AI and reinforcement learning setups, and two-socket air-cooled systems for enterprise, cloud, data-processing and AI-factory deployments.

How does NVIDIA Vera integrate with Vera Rubin and BlueField-4 STX platforms?

Vera serves as the host CPU for NVIDIA Vera Rubin platforms, linked via second-generation NVLink-C2C with up to 1.8TB/s coherent bandwidth. According to NVIDIA, Vera is also integrated into Vera BlueField-4 STX, combining networking, storage acceleration and in-silicon security for AI-native data platforms.