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Computational Fluid Dynamics Market size is set to grow by USD 1.23 billion from 2024-2028, growing need for reduction in product design time and cost to boost the revenue- Technavio

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NEW YORK, Nov. 7, 2024 /PRNewswire/ — Report on how AI is driving market transformation – The global computational fluid dynamics market  size is estimated to grow by USD 1.23 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 9.45% during the forecast period. Growing need for reduction in product design time and cost is driving market growth, with a trend towards increasing shift toward cloud based CFD. However, growing concerns about software and data privacy  poses a challenge.Key market players include Altair Engineering Inc., ANSYS Inc., Autodesk Inc., Bentley Systems Inc., Cadence Design Systems Inc., COMSOL AB, Convergent Science Inc., CPFD Software LLC, Dassault Systemes SE, Flow Science Inc., Fluidyn Group, Hexagon AB, Kitware Inc., Mechartes Researchers Pvt. Ltd., PTC Inc., Siemens AG, SimScale GmbH, Synopsys Inc., The MathWorks Inc., and ZeusNumerix Pvt. Ltd..

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

End-user (Aerospace and defense industry, Automotive industry, Electrical and electronics industry, and Others), Deployment (Cloud and On-premises), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

Altair Engineering Inc., ANSYS Inc., Autodesk Inc., Bentley Systems Inc., Cadence Design Systems Inc., COMSOL AB, Convergent Science Inc., CPFD Software LLC, Dassault Systemes SE, Flow Science Inc., Fluidyn Group, Hexagon AB, Kitware Inc., Mechartes Researchers Pvt. Ltd., PTC Inc., Siemens AG, SimScale GmbH, Synopsys Inc., The MathWorks Inc., and ZeusNumerix Pvt. Ltd.

Key Market Trends Fueling Growth

The global Computational Fluid Dynamics (CFD) market is experiencing significant growth due to increasing demand for digitization, overall connectivity, and ease of use. Rising Research and Development (R&D) expenditure and product complexity are also driving market expansion. Vendors are responding to the growing adoption of cloud-based services by developing feature-rich Product Lifecycle Management (PLM) solutions. Cloud-based CFD offers advantages such as zero start-up time, guided workflows, and constant online support. The OpenFOAM Foundation Ltd., a leading CFD vendor, provides a complete OpenFOAM cloud computing platform using Amazon Web Services (AWS) EC2. This platform supports Elastic Network Adapter and C5n instances for effective scaling on clusters. These factors are expected to boost the growth of the global CFD market during the forecast period. 

The Computational Fluid Dynamics (CFD) market is experiencing significant growth due to increasing trends in equation solving for complex fluid dynamics problems. Reduced testing time and product design cycles are key benefits, enabling faster analysis and optimization. Physical prototypes are being replaced with digital twins, reducing costs and improving sustainability. Data security and cybersecurity are crucial considerations, especially in industries like aerospace and energy. External factors, such as regulatory standards and sustainability metrics, are driving the adoption of green design principles and global supply chains. High-fidelity simulation and virtual prototyping are essential for optimizing manufacturing costs and improving efficiency. CFD software, hardware, and high-performance computing are essential tools for industries like renewable energy, healthcare, and biotechnology. Simulation capabilities are expanding to include industry applications like wind farms and circuit boards, with efficient product design and optimization at the forefront. Model calibration, boundary conditions, turbulence modeling, and mesh quality are critical elements of CFD analysis. Overall, the market is focused on delivering efficient, cost-effective, and sustainable solutions for various industries. 

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Market Challenges

•         In the Computational Fluid Dynamics (CFD) market, data security and privacy concerns are increasingly important for businesses. With the adoption of cloud-based CFD software, there is a risk of data being accessed or mishandled by third-party service providers. Standard attacks, such as Man-in-the-Middle (MiTM), can affect the object storage component. Vendors are concerned that clients may not verify the Certificate Authority (CA) credential of the server before executing a secure socket layer connection, potentially leading to data leakage. Cloud solutions are more accessible for data sharing but come with risks such as distributed denial-of-service (DDoS) attacks, data breaches, unsecured application programming interfaces (APIs), data loss, and account hijacking. Software piracy, where a purchased license is shared with other end-users, also poses a threat to the privacy of CFD software. These issues may hinder the growth of the global CFD market during the forecast period.

•         The Computational Fluid Dynamics (CFD) market is growing rapidly due to the increasing demand for efficient product design and optimization in various industries. CFD software helps businesses improve their manufacturing costs by simulating fluid flows and mechanics before actual production. However, the high cost of hardware and high-performance computing (HPC) requirements pose challenges. Cloud-based solutions and HPC are addressing these challenges by offering affordable simulation capabilities. Industries like Aerospace, Energy, Healthcare, Renewable Energy, Biotechnology, and Automotive Manufacturing are major consumers of CFD technology. The market is segmented into industries like Electrical and Electronics, Industrial Machinery, and Electric vehicles. CFD’s real-world performance in design and manufacturing processes is crucial for developed economies in sectors like Automobile and Industrialization. The growth rate of the CFD market is driven by sustainability initiatives, artificial intelligence, and environmental concerns. Earlier, coding practices involved the use of punched paper tapes and cards, but now software packages have streamlined the process. The deployment model choices include cloud-based and on-premises. CFD’s application in fluid flows and mechanics is essential for industries to ensure product efficiency and sustainability.

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Segment Overview 

This computational fluid dynamics market report extensively covers market segmentation by

End-user 1.1 Aerospace and defense industry1.2 Automotive industry1.3 Electrical and electronics industry1.4 OthersDeployment 2.1 Cloud2.2 On-premisesGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Aerospace and defense industry-  The aerospace segment of the global Computational Fluid Dynamics (CFD) market is projected to expand significantly during the forecast period due to the increasing demand for operational efficiency, cost reduction, and compliance with standards in the aerospace sector. Before the advent of CFD, aircraft manufacturing companies relied on wind tunnel testing and flight-testing methods to evaluate product performance. However, with the advent of powerful computers, these traditional methods have been replaced by numerical simulation methods based on the Navier-Stokes equation. CFD is now widely used in various stages of aircraft design and research and development. It is employed in designing external aerodynamics, fuel systems, engine core compartments, missiles, cockpit and cabin ventilation, and submarines. CFD significantly contributes to designing turbine engines and increasing engine fan efficiency. Advancements in CFD have led to increased bypass ratios using CFD codes and a reduced number of blades in aircraft engine turbines. The evolution of CFD codes from 2-D Euler models to current 3-D Navier-Stokes models has resulted in highly efficient and fewer-blade turbines, reducing blade costs. Engineering simulation software, such as SimScale’s cloud-based CAE platform, allows for powerful CFD simulations from any device, streamlining the design process and reducing the need for physical prototypes. In the aerospace industry, Mentor, a Siemens AG subsidiary, offers Capital Load Analyzer software to simplify aircraft electrical design compliance and certification. With the growth of digitization in manufacturing and product design, traditional tools have been replaced by more efficient CFD simulation software based on the Navier-Stokes equation. The significant benefits of CFD in aerospace and defense are expected to drive its adoption, fueling the growth of the global CFD market in the aerospace and defense segment during the forecast period.

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Research Analysis

The Computational Fluid Dynamics (CFD) market is experiencing significant growth due to the increasing demand for efficient product design and optimization in various industries. CFD software, hardware, and high-performance computing (HPC) play crucial roles in simulating fluid flow and heat transfer, enabling manufacturers to reduce manufacturing costs and improve product performance. CFD is widely used in the aerospace industry for aerodynamic design, in the energy sector for power plant optimization, in healthcare for medical device design, and in renewable energy for wind turbine optimization, among others. The integration of artificial intelligence and machine learning algorithms in CFD software is further enhancing simulation capabilities, while environmental concerns are driving the adoption of cloud-based solutions and sustainable practices. The automotive sector, automobile manufacturing, electrical and electronics, industrial machinery, and electric vehicles are also major consumers of CFD technology. Computational fluid codes are the foundation of CFD simulations, enabling the accurate modeling of fluid mechanics and heat transfer phenomena.

Market Research Overview

The Computational Fluid Dynamics (CFD) market is a dynamic and growing industry focused on efficient product design and optimization. CFD software, hardware, and high-performance computing (HPC) technologies enable the simulation of fluid flows and mechanics, significantly reducing testing time and costs in various industries. CFD applications span aerospace, energy, healthcare, renewable energy, biotechnology, and more. Sustainability initiatives and environmental concerns are driving the market’s growth, with a focus on efficiency, sustainability, and artificial intelligence. Deployment models include cloud-based and on-premises solutions, catering to diverse industry segmentation. CFD plays a crucial role in the automotive manufacturing, electrical and electronics, industrial machinery, and electric vehicle sectors. Product design cycle analysis, regulatory standards, and sustainability metrics are essential considerations. External factors, such as project delays and budget constraints, necessitate high-fidelity simulation, virtual prototyping, and digital twin technologies. CFD also involves model calibration, boundary conditions, turbulence modeling, and mesh quality to ensure detailed simulation accuracy.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

End-userAerospace And Defense IndustryAutomotive IndustryElectrical And Electronics IndustryOthersDeploymentCloudOn-premisesGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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CM Global Services Announces Project Santos, a Planned 50-Megawatt AI Data Center Campus in ERCOT South

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CM Global Services targets a site and engages with strategic partners to become operational in the AI data center space.

DENVER, July 23, 2026 /PRNewswire/ — CM Global Services, LLC (CMGS) today announced Project Santos, its plan to develop a 50-megawatt AI data center campus for a site in the ERCOT South grid zone. CMGS is a long-standing strategic partner of Compass Mining, Inc. and is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. The announcement was made by Shanon Squires, Chief Mining Officer of Compass Mining, during a panel on bitcoin mining companies diversifying into AI infrastructure at the Energy Investors Forum.

CMGS intends to deliver Project Santos in two phases. The first phase, a 7-megawatt, 5 MW of IT Load Tier III facility purpose-built for AI inference workloads, is targeted for completion by the end of the first quarter of 2027. A subsequent 43-megawatt expansion, bringing the site to its fully planned 50-megawatt capacity

“This is a disciplined next step for CM Global Services, drawing upon its expertise in standing up infrastructure, while Compass Mining simultaneously continues to be the gold standard in Bitcoin mining-related services,” said Shanon Squires. “Bitcoin mining remains the core of Compass Mining. CMGS’ Project Santos reflects the power infrastructure and site development discipline CMGS built over years, and we’re pursuing this initiative on our own terms.”

“This is a new step forward for CMGS, as we continue building for the future,” said Vishnu Mackenchery, Managing Director at CMGS. “Project Santos marks our entry into AI infrastructure and inference, and we’re charting our own path, moving fast to get there.”

GPU-as-a-Service for Enterprise and Neocloud Customers

Project Santos is being developed as a GPU-as-a-Service (GPUaaS) platform. Rather than requiring customers to bring their own hardware, CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer directly to off-takers as dedicated, single-tenant or multi-tenant compute. The company’s ideal customer profile is AI enterprise organizations seeking dedicated capacity, and CMGS is also in active discussions with neocloud providers.

Project Status

Site: located in the ERCOT South grid zoneCompute: CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer as GPU-as-a-Service to off-takersTotal planned capacity: 50 megawatts, 35 MW of IT to be delivered in two phasesPhase 1: 7 megawatts, 5 MW of IT load Tier III, targeted for completion by end of Q1Phase 2: adding a 43-megawatt expansion, 30 MW of IT load with utility-supported expansionCustomer profile: AI enterprise companies are the ideal customer; CMGS is also in active discussions with neocloud providers

About CMGS

CM Global Services (CMGS) is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. CMGS supports clients with end-to-end logistics solutions, hardware procurement, and site-level execution for next-generation compute infrastructure.

About CMGS and Compass Mining Partnership

Compass Mining serves as a strategic partner and advisor to CM Global Services (CMGS), supporting its growth across global logistics, hardware sales, and infrastructure services. As CMGS expands its focus into AI infrastructure and site development, Compass Mining’s guidance helps shape its strategic direction and execution. Together, the two organizations continue to collaborate on delivering end-to-end solutions for clients building next-generation compute infrastructure.

Disclaimer

This communication contains forward-looking statements relating to a potential closing of a transaction. There can be no assurance that the proposed transaction will be completed on the terms described, or at all. Forward-looking statements are subject to significant business, economic, and competitive uncertainties, many of which are beyond our control. This communication is for informational purposes only and does not constitute an offer to sell, or a solicitation of an offer to buy, any securities of the company. Furthermore, investing in or engaging with our company involves substantial risk, and past performance or previous communications are not indicative of future results. There is no guarantee, assurance, or warranty that any specific financial outcome, return on investment, or overall results will be achieved. Actual results may differ materially and adversely from those expressed, projected, or implied in any forward-looking statements. Investors and stakeholders should not rely solely on preliminary press releases regarding potential transactions or projected financial metrics when making investment decisions. We undertake no obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by applicable securities laws. Prospective investors are strongly encouraged to conduct their own independent due diligence and consult with a qualified, independent financial or legal advisor prior to making any investment.

Contact
All inquiries can be made to: Santos@CMGlobalServices.io 

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SOURCE CM Global Services

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Advantech Unveils Next-Gen AI Infrastructure Solutions Powered by AMD EPYC™ 9006 Series Processors

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TAIPEI, July 23, 2026 /PRNewswire/ — Advantech, a global leader in industrial edge computing and edge AI solutions, today announced its next-generation server and network platforms powered by the latest AMD EPYC™ 9006 Series processors. Designed to accelerate AI infrastructure from the data center to the intelligent edge, Advantech’s 6th Gen AMD EPYC-powered servers deliver the performance, scalability, and reliability organizations need for AI, HPC, storage, networking, and mission-critical industrial workloads.

At AMD Advancing AI 2026, Advantech will showcase its latest 2U 4-node edge server and EATX server board, demonstrating how its workload-ready server solutions enable customers to build scalable, high-performance AI and edge computing infrastructure with greater deployment confidence.

Continuing Performance Leadership with AMD EPYC 9006 Series Processors

6th Gen AMD EPYC server CPUs bring continued leadership in performance, efficiency, memory bandwidth, and next-generation I/O. Featuring up to 128 cores and 256 threads, advanced 2nm process technology, “Zen 6” and “Zen 6c” architecture, up to 20% average generational performance uplift, and up to 20% performance-per-watt improvement, AMD EPYC 9006 Series processors are designed to support more virtual machines, higher throughput, and better system efficiency. With up to 128 PCIe Gen6 lanes per CPU, CXL™ 3.1 memory expansion, and support for DDR5 8000NHz and MRDIMM 12800MHz for high memory bandwidth, Advantech edge server solutions deliver balanced compute, memory, and I/O performance for next-generation AI, telco, edge, and storage infrastructure.

Key Features Include:

Up to 128 cores / 256 threads with “Zen 6” and “Zen 6c” architectureAdvanced 2nm process technology for improved performance and efficiencyUp to 20% average generational performance uplift and 20% performance-per-watt improvementDDR5-8000 and MRDIMM 12.8G support for higher memory bandwidth and capacityPCIe® Gen6 scalability: up to 128 lanes for 1 CPU and up to 196 lanes for 2 CPUsCXL™ 3.1 support for optimized memory expansion

Comprehensive Edge Server Solutions from Edge to Cloud

Advantech’s edge server portfolio powered by AMD EPYC™ 9006 Series processors delivers a complete board-to-system lineup for AI infrastructure, data centers, cloud, HCI, HPC, edge computing, industrial applications, and high-performance networking. The first-wave portfolio includes:
(1) The SKY-642E5, 4U MGX GPU server, for large-scale AI acceleration
(2) The SKY-722E5, 2U DC-MHS server with DC-SCM support, for modular data center and edge AI deployments
(3) The SKY-712E5, 1U DC-MHS server, supporting HHHL and FH-3/4L expansion cards for high-density enterprise edge and cloud workloads
(4) The SKY-822E5, 2U short-depth DC-SCM modular server, supporting 2–3 dual-slot GPU cards for space-constrained edge data centers
(5) The SKY-924E5F, 2U 4-node front-access server, for distributed edge computing,
(6) The ASMB-982 & ASMB-832 server boards for flexible, high-expandability system designs.

These new platforms also support PCIe Gen6 scalability, GPU-optimized architecture, advanced DDR5/MRDIMM memory, and AFA-ready high-density E1.S/E3.S NVMe SSD storage to meet low-latency data access, high-throughput storage performance, and scalable infrastructure for data-intensive AI and edge-cloud workloads.

Expanding the portfolio further, Advantech also introduces the FWA-6084, the 2U network appliance and is designed for demanding network security and edge AI workloads. It features DDR5/MRDIMM memory capability, eight Gen6 network module cards, and one PCIe Gen5 x16 slot for GPU or add-on card expansion. It is well positioned to support line-speed multiple 200G network workloads without compromise.

Together with Advantech’s unique service advantages—including 3-5-10 service guarantee, strict revision control, stable component supply, worldwide local support, and custom-ready integration—the new portfolio supports customers reduce deployment risk, secure long-term product roadmaps, and accelerate workload-ready AI and edge-cloud infrastructure from concept to deployment.

Explore more product information, please contact us or visit the Advantech x AMD website.

About Advantech

Advantech is a global leader in IoT intelligent systems and embedded platforms, driven by its vision of “Enabling an Intelligent Planet.” To address the growth of edge computing and AI, Advantech focuses on five key markets: Edge Intelligence Systems, Manufacturing, Energy and Utilities, iHealthcare, and iCity Services & iRetail. By integrating edge computing hardware, WISE-IoT software, sector-specific AI solutions, and domain expertise, Advantech creates an orchestration model that connects industrial ecosystems and accelerates industrial intelligence with partners and customers.(www.advantech.com

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SOURCE Advantech Co., Ltd.

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MulticoreWare and AMD Collaborate to Advance Physical AI and Autonomous Robotics on AMD Platforms

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Companies Demonstrated Real-Time Multimodal AI and Vision-Language-Action Workflows on AMD Ryzen™ AI Platforms at AMD Advancing AI 2026

SAN JOSE, Calif., July 23, 2026 /PRNewswire/ — MulticoreWare, Inc., a global technology company specializing in AI software solutions, physical AI, accelerated computing, and engineering services, today announced its ongoing collaboration with AMD to advance autonomous robotics and edge intelligence on AMD platforms.

As part of this collaboration, MulticoreWare joined AMD at AMD Advancing AI 2026 to present ‘Enabling Physical AI on AMD’, demonstrating how advanced vision, language, and action (VLA) models can drive real-time robotic intelligence on AMD Ryzen™ AI Embedded platforms.

As AI increasingly moves from the cloud into robots, autonomous systems, and intelligent edge devices, organizations need efficient ways to run sophisticated AI models closer to where decisions need to be made. Together, AMD and MulticoreWare are helping developers bring advanced perception, reasoning, and action capabilities to AMD-powered systems.

At AMD Advancing AI 2026, AMD and MulticoreWare demonstrated how multimodal VLA models run on AMD Ryzen™ AI Embedded integrated GPUs using AMD ROCm™, enabling robots to perceive, reason, and act in real time. The session showcased practical guidance for AI developers, robotics engineers, and innovators building next-generation intelligent machines on AMD Embedded platforms.

“Physical AI is reshaping how machines perceive, decide and act in the real world,” said Sumit Shah, Head of Product Management and Marketing, Adaptive and Embedded Computing Group, AMD. “AMD Ryzen™ AI Embedded X100 Series processors deliver a scalable, open x86 Embedded platform that unifies AI, real-time control and industrial reliability to enable the generation of autonomous systems without locking developers into a single compute architecture or software stack.”

“A Physical AI system depends on a tightly integrated loop between perception and actuation. It must operate in real time, on real hardware, and in environments that are inherently unpredictable,” said Vish Rajalingam, VP & GM, Mobility and Transportation BU at MulticoreWare. “That makes it a hardware-software co-design challenge, not simply an AI inference problem. Building on the open-source AMD Robotics Software Suite, we work closely with OEMs to optimize the entire stack so that latency, reliability and accuracy targets are consistently achieved in production environments. That’s the integration MulticoreWare and AMD deliver together to move intelligent robotic systems from prototype to deployment.”

This session builds on more than 15 years of collaboration, with MulticoreWare delivering software optimization, AI, and engineering expertise across the AMD ecosystem, including Ryzen™ AI, Ryzen™, AMD EPYC™, AMD Instinct™, AMD Radeon™, and adaptive computing technologies.

About MulticoreWare

MulticoreWare, Inc. is a global technology company delivering AI software solutions and engineering services that accelerate innovation in Physical AI, Agentic AI, Robotics, Edge Intelligence, and Accelerated Computing. With expertise in multimodal AI, Vision-Language-Action (VLA) models, sensor perception and fusion, AI optimization, embedded systems, and high-performance software, MulticoreWare helps customers transform advanced AI technologies into production-ready solutions. Its innovations power applications across automotive, robotics, industrial automation, smart cities, healthcare, defense, and intelligent edge devices, while its video codec technologies enable next-generation video experiences worldwide.
www.multicorewareinc.com

AMD, the AMD Arrow logo, EPYC, Instinct, Radeon, Ryzen and combinations thereof are trademarks of Advanced Micro Devices, Inc.

Contact:
Suchithra Thyagarajan
VP – Corporate Marketing
marcom@multicorewareinc.com 

 

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SOURCE MulticoreWare Inc.

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