SAN FRANCISCO, June 11, 2026 /PRNewswire/ — The global GPU as a Service (GPUaaS) market is poised for substantial expansion as enterprises accelerate investments in artificial intelligence, machine learning, high-performance computing, and advanced analytics. According to a recent industry analysis by Grand View Research, the global GPU as a Service market was valued at USD 4.37 billion in 2025 and is projected to grow from USD 5.1 billion in 2026 to USD 14.4 billion by 2033, at a CAGR of 16.0% from 2026 to 2033. The rapid proliferation of AI-driven applications across industries is transforming the demand for computing infrastructure. Organizations increasingly require scalable access to graphics processing power to support model training, real-time inference, data analytics, simulation workloads, and cloud-native applications. GPU as a Service enables businesses to access enterprise-grade GPU resources without the significant capital expenditure associated with building and maintaining dedicated infrastructure.

As generative AI, large language models, computer vision, and predictive analytics continue to gain momentum, enterprises are prioritizing flexible and consumption-based computing models. GPUaaS platforms allow organizations to rapidly deploy advanced computing resources while optimizing operational efficiency and reducing time-to-market for AI initiatives.

The market’s growth trajectory is being reinforced by increasing cloud adoption across both developed and emerging economies. Businesses are leveraging cloud-based GPU resources to support data-intensive workloads that require substantial parallel processing capabilities. These solutions enable organizations to scale resources according to demand, providing greater agility and cost efficiency compared to traditional on-premises deployments.

A key factor driving market expansion is the surge in enterprise AI adoption. Companies across sectors including financial services, healthcare, telecommunications, manufacturing, media, and retail are integrating AI technologies into their operations. These applications often require intensive computational capabilities that GPUs are uniquely positioned to deliver, making GPUaaS an increasingly attractive deployment model.

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The evolution of edge computing is also creating new opportunities for market participants. Organizations are seeking low-latency processing capabilities closer to data sources, particularly for real-time AI applications. As a result, cloud providers and infrastructure vendors are extending GPU-enabled services beyond centralized data centers to support distributed computing environments. This trend is expected to unlock new growth avenues for GPUaaS providers over the forecast period.

Market analysis indicates that North America accounted for the largest revenue share of 32.6% in 2025, supported by advanced cloud infrastructure, strong AI adoption, and the presence of leading technology companies. The region continues to benefit from significant investments in digital transformation initiatives and accelerated deployment of AI-enabled applications. Meanwhile, Asia Pacific is anticipated to emerge as the fastest-growing regional market, fueled by rapid technology adoption, expanding cloud ecosystems, and increasing investments in AI infrastructure across countries such as China, India, Japan, South Korea, Singapore, and Australia.

From a component perspective, the solutions segment accounted for more than 55.9% of global revenue in 2025. The segment’s dominance reflects growing demand for cloud-based GPU solutions that enable enterprises to run complex AI, machine learning, and high-performance computing workloads with enhanced scalability and operational efficiency. As organizations continue to modernize their technology stacks, solution-oriented GPUaaS offerings are expected to remain a critical component of enterprise digital transformation strategies.

Subscription-based pricing models represented the leading revenue-generating segment in 2025, highlighting the increasing preference for predictable and scalable cloud consumption frameworks. However, pay-per-use models are projected to experience robust growth as organizations seek greater flexibility in managing computing expenses and aligning infrastructure costs with workload requirements. This approach is particularly attractive for businesses with fluctuating or project-based computing needs.

Among industry verticals, gaming emerged as the largest revenue contributor in 2025. The growth of cloud gaming platforms and increasing demand for high-quality graphics experiences continue to drive adoption of GPU-powered cloud services. GPUaaS enables users to access advanced gaming capabilities without investing in expensive hardware, broadening accessibility and supporting the evolution of cloud-based gaming ecosystems.

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The IT and telecommunications sector is expected to register significant growth throughout the forecast period as organizations increasingly depend on high-performance computing resources to support data-intensive operations, cloud services, AI-driven applications, and next-generation network technologies. The rollout of 5G infrastructure and edge computing architectures is further strengthening demand for GPU-accelerated environments capable of delivering real-time processing and low-latency performance.

Industry stakeholders are also investing heavily in advanced GPU clusters, AI-optimized cloud platforms, and infrastructure expansion initiatives to address growing enterprise demand. Strategic collaborations among cloud providers, semiconductor manufacturers, and AI technology companies are expected to enhance service availability and accelerate innovation across the market.

Despite strong growth prospects, the industry faces challenges related to the availability of advanced GPU hardware. Rising demand for AI-focused processors, supply chain constraints, and increasing competition for high-performance GPUs have created supply pressures that may influence pricing and service accessibility. Nevertheless, continued investment in data center expansion and next-generation computing technologies is expected to support long-term market growth.

As enterprises continue to prioritize AI adoption and digital transformation, GPU as a Service is expected to play an increasingly critical role in enabling scalable, cost-effective, and high-performance computing capabilities. The market’s strong outlook reflects the growing importance of accelerated computing infrastructure in powering the next generation of intelligent applications and data-driven innovation.

To learn more about growth opportunities in the Global GPU As A Service Market, access the full report from Grand View Research

About Grand View Research
Grand View Research, U.S.-based market research and consulting company, provides syndicated as well as customized research reports and consulting services. Registered in California and headquartered in San Francisco, the company comprises over 425 analysts and consultants, adding more than 1200 market research reports to its vast database each year. These reports offer in-depth analysis on 46 industries across 25 major countries worldwide. With the help of an interactive market intelligence platform, Grand View Research Helps Fortune 500 companies and renowned academic institutes understand the global and regional business environment and gauge the opportunities that lie ahead.

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Collaboration combines Momentum’s and Aquatech’s proprietary technologies and EPCM capabilities to deliver America’s first end-to-end critical mineral processing platform.

CARROLLTON, Texas, June 11, 2026 /PRNewswire/ — Momentum Technologies (“Momentum”), a company revolutionizing critical mineral and metal refining, today announced a strategic partnership with Aquatech, a global leader in critical mineral processing and industrial water technology. Through this collaboration, Momentum’s proprietary Membrane Solvent Extraction (MSX) technology will be paired with Aquatech’s process technology platform to support U.S. production of high-purity battery materials and rare earth elements (REEs).

“This partnership marks an important step in scaling high-purity refining across battery materials and rare earth elements,” said Mahesh Konduru, CEO of Momentum Technologies. “By integrating Membrane Solvent Extraction into Aquatech’s process technology platform, we can offer a truly comprehensive solution from feedstock to finished product. Together, we can strengthen domestic supply chains for physical AI, medical devices, transportation, power storage, and defense applications, reducing America’s dependence on imported critical minerals and REEs.” 

Momentum’s patented MSX technology produces high-purity refined products from both primary and secondary feedstocks, including mined rare earth materials, lithium-ion battery black mass, magnet swarf, industrial waste streams, and mining byproducts. Battery-grade nickel, cobalt, and lithium compounds produced at Momentum’s demonstration plant have been validated by customers.

Aquatech’s PEARL™ lithium & Critical Minerals processing technology platform underpins over 100,000 tons per year of lithium and critical minerals processing capacity under execution, and the company’s water and process technology execution track record spans 45 years and over 2,000 projects in > 60 countries. Aquatech also brings extensive proven experience in design, delivery and operations of large-scale facilities across all industrial segments and geographies, providing certainty of cost and schedule delivery to Aquatech customers.

By combining their leading technology portfolios, the companies are poised to accelerate innovation and drive transformative progress in battery recycling and rare earth refining solutions.

“Building resilient domestic supply chains requires integrated, bankable processing technology and delivery at industrial scale,” said Ravi Chidambaran, President & CTO at Aquatech. “Momentum’s MSX technology brings differentiated separation capability, and when combined with Aquatech’s expansive technology platform for lithium and critical mineral processing, enables a single, accountable solution from feedstock through finished product. Together, we can build a more resilient supply chain for American battery materials and rare earth elements.”

About Momentum Technologies
Based in Carrollton, Texas, Momentum Technologies is a critical minerals processing company that has developed patented Membrane Solvent Extraction (MSX) technology in partnership with the U.S. Department of Energy and Oak Ridge National Laboratory. MSX recovers and separates high-purity rare earth elements, including light and heavy REEs such as neodymium, dysprosium, and terbium, as well as battery materials including lithium, nickel, and cobalt, from both primary feedstocks such as mined ore and mining byproducts, and secondary feedstocks such as lithium-ion battery black mass, magnet swarf, and industrial waste streams. The technology operates at significantly lower capital and operating costs than conventional processing methods and scales through replication of modular units rather than large-scale plant construction. For more information, please visit momentum.technology.

About Aquatech
With over 100,000 tons per year of lithium and critical minerals processing capacity under execution globally, Aquatech’s commitment to technology leadership and performance excellence is powering the electrification of the global economy. Our PEARL™ technology licensing platform combines direct minerals extraction through refining and purification, process design, modular execution, and digital optimization to create a comprehensive processing solution.

Acting as a single accountable partner, Aquatech enables resource owners to deliver battery-grade lithium with confidence, while bringing down total installation cost, process risk, and time to market. Aquatech brings over 45 years of experience solving complex water and process challenges to enable reliable delivery for critical minerals and lithium processing.

Media Contact:
Jacqueline Campos
Marketing & Communications Manager
Phone: 817.522.8271
Email: jacqueline@momentum.technology 

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SOURCE Momentum Technologies

Surface Security launches data-sovereign browser defense for the AI era, helping organizations detect new phishing attacks, protect sensitive data with browser-native DLP, and gain visibility into employee AI usage and security risks. Powered by patent pending Surface Vision technology, Surface analyzes code, network, and visual signals while learning each customer’s environment, without forcing a browser replacement or sending sensitive browsing data to a third-party cloud.

AURORA, Colo., June 11, 2026 /PRNewswire-PRWeb/ — Surface Security announced the launch of its browser-native security platform, built to identify brand new phishing attacks, highly targeted campaigns, AI-generated threats, risky AI usage, and sensitive data exposure where modern work actually happens: the browser.

As attackers move faster and use AI to create more convincing phishing pages, cloned login flows, and targeted social engineering campaigns, security teams are left defending with tools that often lack visibility into the place these attacks actually unfold. Email gateways continue to let malicious links through, phishing now arrives through more than just email, and endpoint tools cannot reliably understand what a user is seeing, clicking, typing, uploading, or submitting inside a web page.

Surface Security was built to close that gap.

The platform deploys as a lightweight browser extension and is powered by Surface Vision, the company’s patent pending technology that analyzes browser activity through code, network, and visual signals. By seeing what the user sees, Surface can detect suspicious login pages, credential harvesting flows, impersonation attempts, and other malicious experiences even when the attack is new, targeted, or built with AI.

Beyond phishing detection, Surface extends browser visibility into data loss prevention, AI usage monitoring, and Shadow AI detection. The platform helps security teams understand when sensitive data may be exposed through browser activity, when employees are using unsanctioned AI tools, and when confidential information could be pasted, uploaded, or submitted into applications outside company control.

Surface also learns an organization’s environment as users browse and authenticate to trusted sites. Over time, this allows the platform to understand what is normal for a company, which applications employees use, how those sites should look and behave, and when something appears suspicious or out of place.

“Attackers are no longer just sending obvious phishing emails. They are building convincing, targeted experiences that trick users in the browser,” said Grant Smith, Founder and CEO of Surface Security. “Surface was built around a simple idea: if you can see what the user sees and understand the environment they work in, you can catch attacks that other tools were never designed to detect. That same visibility also gives security teams a practical way to control browser data loss, monitor AI usage, and uncover Shadow AI.”

Unlike browser security platforms that require organizations to replace their existing browsers, Surface works as an extension. This makes it easier for companies to add advanced enterprise browser security without forcing a disruptive rip and replace rollout across the workforce.

Surface is also designed around data sovereignty. The platform can be deployed on premises or in the customer’s own cloud environment, ensuring sensitive browsing telemetry, authentication context, AI usage data, and user activity remain under the organization’s control.

“With Surface, we are giving defenders visibility at the point of attack and the point of data movement,” Smith said. “The browser is where modern phishing succeeds, where employees interact with AI, and where sensitive data can leave the business. Security teams need technology that understands the full context of what users are seeing, loading, typing, uploading, and trusting.”

Surface Security is now available for enterprise pilots and customer deployments.

About Surface Security

Surface Security is building browser-native security technology to help organizations detect phishing attacks, protect sensitive data, monitor AI usage, and maintain control over browser activity. The company’s platform uses code, network, and visual analysis to identify threats and risky behavior inside the browser, including new, targeted, and AI-generated phishing attacks. Surface deploys on premises or in the customer’s own cloud environment, giving enterprises stronger protection without giving up control of sensitive data.

Media Contact
Grant Smith, Surface Security, 1 9789730262, grant@surface-security.com, https://surface-security.com

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SOURCE Surface Security