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Cloud Machine Learning Operations (MLOps) Market Size to Grow USD 3652.7 Million by 2030 at a CAGR of 44.6% | Valuates Reports

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BANGALORE, India, Sept. 9, 2024 /PRNewswire/ — Cloud Machine Learning Operations (MLOps) Market is Segmented by Type (Platform, Services), by Application (BFSI, Healthcare, Manufacturing, Retail, Public Sector): Global Opportunity Analysis and Industry Forecast, 2024-2030.

The global Cloud Machine Learning Operations (MLOps) market was valued at US$ 186.4 million in 2023 and is anticipated to reach US$ 3652.7 million by 2030, witnessing a CAGR of 44.6% during the forecast period 2024-2030.

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Major Factors Driving the Growth of Cloud Machine Learning Operations (MLOps) Market:

The growing use of artificial intelligence (AI) and machine learning (ML) across a variety of sectors is fueling the rapid growth of the cloud machine learning operations (MLOps) market. Cloud-based MLOps solutions are increasingly crucial as businesses look to simplify the deployment, monitoring, and management of ML models at scale. These systems help companies speed up time-to-market for AI products, enhance model accuracy, and automate procedures. The market is being driven by the increasing need for affordable and scalable cloud solutions, and major companies are concentrating on improving their MLOps offerings by integrating them with well-known cloud services and cutting-edge analytics tools.

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TRENDS INFLUENCING THE GROWTH OF THE CLOUD MLOPS MARKET:

The use of cloud MLOps (Machine Learning Operations) services is a major growth driver in the BFSI (Banking, Financial Services, and Insurance) industry. Financial institutions are using MLOps more and more to boost fraud detection, handle data more efficiently, and provide individualized client experiences. These companies can effectively manage and implement machine learning models at scale with Cloud MLOps, which improves predictive analytics and decision-making. Cloud-based services enable BFSI businesses to handle enormous volumes of data in real-time, which helps them stay competitive and adaptable to changes in the market. Furthermore, cloud MLOps services’ scalability and flexibility enable easy integration with current IT infrastructure, which accelerates adoption and market expansion.

One of the main factors propelling the growth of the cloud MLOps market is the proliferation of cloud MLOps platforms. These systems offer all-inclusive solutions that optimize every stage of the machine learning process, from model training and data intake to deployment and oversight. Cloud MLOps systems simplify complicated procedures and shorten the time needed to deploy machine learning models into production by providing integrated tools and frameworks. Because of its simplicity of use, businesses from a variety of sectors are drawn to it, which promotes wider adoption. AWS, Google Cloud, and Azure are just a few of the cloud providers that compete fiercely, which encourages ongoing innovation, enhances platform capabilities, and expands the market. Strong cloud MLOps platforms are in greater demand as businesses look for effective methods to use AI and machine learning.

The market for cloud MLOps is expanding thanks in large part to the retail and healthcare industries. Cloud MLOps are utilized in the healthcare industry to improve patient care by means of individualized treatment plans, predictive analytics, and effective health record administration. Real-time data analysis is made possible by cloud-deployed machine learning models, which support early diagnosis and therapy optimization. Cloud MLOps is used in the retail industry for customized marketing, inventory control, and demand forecasting. Real-time consumer data analysis makes it possible for merchants to enhance both customer satisfaction and operational effectiveness. In addition to propelling these industries’ digital transformation, the use of cloud MLOps also greatly expands the industry as a whole.

The exponential development in data creation is one of the main drivers propelling the cloud MLOps industry. Massive volumes of data are being produced every day as a result of the widespread use of digital devices and the Internet of Things (IoT). Systems that are effective are necessary for organizations to handle, examine, and learn from this data. The infrastructure and resources required to manage the deployment of machine learning models and large-scale data processing are provided by Cloud MLOps. Businesses may effectively store, process, and analyze data by utilizing cloud-based solutions. This gives them the ability to make data-driven choices and obtain a competitive advantage. The continual increase in data creation guarantees a consistent need for cloud MLOps platforms and services.

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CLOUD MACHINE LEARNING OPERATIONS (MLOPS) MARKET SHARE

Because of its robust technical infrastructure and the presence of many digital giants like Google, Amazon, and Microsoft, North America is a leader in the cloud MLOps industry. When it comes to creating and implementing cutting-edge cloud MLOps platforms and services, these businesses are in the forefront. The need for cloud MLOps solutions is fueled by the region’s strong rate of adoption of AI and machine learning technology across a variety of industries, including retail, healthcare, and finance. North America’s supremacy in this sector is also a result of significant investments in R&D and a strong startup environment. The region’s market growth is further bolstered by favorable government efforts and regulatory support for data security.

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Key Companies:

IBMDataRobotSASMicrosoftAmazonGOOGLE INCDataikuDatabricksHPELguazioClearMLModzyCometClouderaPaperpaceValohai

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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

–  MLOps Platform Market

–  Machine Learning Operations (MLOps) Platform Market

–  MLOps Technology Market

–  The Machine Learning Operations (MLOps)market was estimated to be worth US$ 545.5 million in 2023 and is forecast to a readjusted size of US$ 9066.7 million by 2030 with a CAGR of 41.8% during the forecast period 2024-2030.

–  AI & Machine Learning Operationalization (MLOps) Software Market

–  MLOps Solution market was valued at US$ 546.1 million in 2023 and is anticipated to reach US$ 8884.3 million by 2030, witnessing a CAGR of 41.3% during the forecast period 2024-2030.

–  ModelOps and MLOps Platforms Market

–  The global cloud artificial intelligence market was valued at USD 42.7 Billion in 2022, and is projected to reach USD 887 Billion by 2032, growing at a CAGR of 35.8% from 2023 to 2032.

–  Cloud Database Market

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To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.

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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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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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