INDIA — Aug. 20, 2026 — Nutanix (NASDAQ: NTNX), a hybrid cloud leader and AI innovator, and ChronoScale Holdings Corporation (NASDAQ: CHRN), an accelerated compute platform purpose-built to support demanding artificial intelligence workloads, today announced a strategic partnership to jointly deliver enterprise-ready AI infrastructure and help accelerate adoption of AI services across global markets.

The partnership brings together complementary capabilities enterprise customers have historically had to assemble themselves — combining Nutanix’s full portfolio of agentic AI solutions with ChronoScale’s accelerated compute, enterprise AI foundry, and outcome-driven delivery model.

ChronoScale and Nutanix Platform Integration

ChronoScale plans to leverage Nutanix software within its AI infrastructure platform to help deliver a broad portfolio of accelerated compute and AI services. The parties expect Nutanix software to help support customer onboarding, tenant management, service automation, virtualized infrastructure, managed Kubernetes environments, and advanced AI service offerings. ChronoScale’s platform is designed to support a broad ecosystem of technology partners. The companies also intend to jointly maintain demonstration and proof-of-concept environments to support customer evaluations and accelerate adoption of agentic AI solutions in the enterprise.

Extended GPU capacity, on-premises and beyond

ChronoScale plans to extend the Nutanix on-premises cloud footprint with elastic access to modern GPU capacity. Customers are expected to be able to procure reserved capacity through ChronoScale GPU-as-a-Service (GPUaaS) for predictable workloads, or draw on ChronoScale Token Factory — pre-paid inference tokens backed by leading open-source models — for burst and experimental workloads. The parties intend to integrate both offerings with the Nutanix enterprise AI offerings, including Agent Gateway and Private Inferencing, with the goal of providing customers a single control plane across their on-premises environment and ChronoScale capacity.

ChronoScale Foundry, delivered through Nutanix

Nutanix will enable the deployment of ChronoScale Foundry, an enterprise AI foundry, inside the customer’s own environment, giving enterprises a managed platform to build, run, and govern agentic workflows locally. Agents, enterprise data, and workflow state remain within the customer’s boundary. Enterprise customers are expected to be able to deploy Foundry directly through the Nutanix Kubernetes Platform Catalog, extending Nutanix’s AI portfolio into managed agentic workloads.

The partnership is designed to help enterprises globally deploy production-scale AI environments faster, with greater operational simplicity, sovereignty, security, and scalability.

The partnership being announced today is underpinned by the strategic relationship and technology partnership that both ChronoScale and Nutanix have with NVIDIA. Chronoscale is an NVIDIA Cloud Partner (NCP), delivering an accelerated computing platform, built and optimized using NVIDIA-validated reference designs to deliver consistent performance at scale. Nutanix is an NVIDIA technology partner and ISV that has a suite of NVIDIA validated software to operate enterprise AI factories.

Together, ChronoScale and Nutanix intend to deliver an integrated platform built on NVIDIA AI economics that is designed to reduce operational complexity and accelerate time-to-value for enterprises adopting AI at scale. ChronoScale plans to deploy NVIDIA HGX B300 systems interconnected via NVIDIA Spectrum-X networking and NVIDIA AI Enterprise software, including NVIDIA NIM microservices and NVIDIA NeMo to deliver a production-ready stack.

Executive Commentary

“The next phase of AI is about making enterprise-grade infrastructure easier to consume and faster to deploy. This partnership with Nutanix brings together two complementary strengths — Nutanix’s proven cloud platform and ChronoScale’s accelerated compute, AI services, and Enterprise AI Foundry — to give customers a shorter, more sovereign path to production AI. It is an important milestone in our mission to become the platform where the global AI ecosystem converges.”

— Cenly Chen, Chief Executive Officer, ChronoScale

“Organizations are looking for a simpler path to deploying AI at scale. ChronoScale is building an impressive global AI infrastructure platform designed for the demands of modern AI workloads. Together, we will help enterprises accelerate their AI transformation by combining high-performance infrastructure with the operational simplicity, flexibility, and security that Nutanix delivers.”

— Tarkan Maner, President and Chief Commercial Officer, Nutanix

The partnership also establishes a framework that includes joint marketing activities, sales enablement, technical collaboration, joint solution development, and customer engagement programs. Nutanix and ChronoScale intend to work together to target Global 2000 organizations and other enterprise customers seeking scalable AI infrastructure and sovereign AI services. The companies intend to jointly maintain demonstration and proof-of-concept environments to support customer evaluations and accelerate enterprise adoption of Agentic AI solutions. The partnership is expected to be implemented through one or more definitive agreements.

Bengaluru, India – June 11, 2026: Infosys (NSE, BSE, NYSE: INFY), a global leader in AI-first business consulting and technology services, today announced that it has successfully completed and contributed to the CMMI AI Maturity (AIM) Framework and Pilot Assessment, conducted by CMMI^® Institute, a global leader in helping organizations reduce risk, boost performance and build capability. Through this collaboration, Infosys assisted with the advancement of the CMMI AIM framework – contributing deep enterprise-scale perspectives on AI governance, responsible deployment, and outcome-driven practices that helped define how AI maturity is assessed and operationalized across global organizations. Infosys is among the first select group of organizations recognized globally to complete the pilot assessment, demonstrating a structured and responsible approach to scaling artificial intelligence across enterprise-grade software engineering, agentic capabilities, and service delivery.

The CMMI AIM framework enables organizations to assess, benchmark, and improve how AI is implemented across real-world enterprise and regulatory environments, linking AI practices and governance to measurable, scalable outcomes. As an early pilot participant, Infosys validated and identified key elements of the framework for further refinement by applying it across large‑scale delivery environments – ensuring the model reflects the realities of enterprise adoption rather than isolated experimentation. Infosys’ participation in the pilot builds on its broader investments in AI-first software engineering, leveraging its purpose-built, composable and open agentic services suite Infosys Topaz Fabric, to operationalize AI across internal processes and client engagements, unlocking AI value at scale.

This recognition by the CMMI Institute is a strong testament to Infosys’ sustained multi‑year focus on building a mature, scalable, and enterprise‑grade AI proposition through disciplined execution, governance, and continuous improvement.

As part of the pilot, Infosys worked closely with the CMMI Institute and KPMG to validate how AI maturity can be assessed consistently across large, complex organizations. The pilot assessment covered AI-augmented software development, maintenance, testing, and support initiatives across Infosys’ service lines and global delivery hubs. The evaluation assessed how AI is embedded across the software engineering lifecycle, focusing on productivity, quality, governance, and responsible AI practices. Infosys provided practical implementation insights as part of the CMMI AIM pilot, strengthening an actionable, enterprise‑ready approach to AI maturity that organizations can apply globally. This engagement helped shape key dimensions of the emerging CMMI AIM Model, including performance alignment to business outcomes, consistency of AI practices, risk and compliance management, and accountability in AI-driven decision-making – establishing a benchmark that enterprises globally can adopt.

Dinesh Rao, Executive Vice President and Chief Delivery Officer, Infosys, said, “The CMMI AIM pilot marks a significant step in our journey to unlock the true value of AI. As one of the initial organizations to pilot the CMMI AIM framework and contribute to the content and assessment method, we are defining what responsible, enterprise-grade AI adoption looks like in practice. Powered by Infosys Topaz, our sustained investments in AI maturity – across governance, productivity, and outcomes – give our clients a tested, structured path to realize AI value at scale. This milestone reinforces our role as architects of enterprise AI and governance standards the industry will follow.”

Ron Lear, Vice President, CMMI Global Strategies, CMMI Institute, said, “As AI becomes integral to software engineering, and virtually all other disciplines, enterprise leaders need to focus on AI governance, assurance, and predictability in performance. Infosys brought deep, practical perspectives to the CMMI AIM pilot, reflecting the realities of deploying AI at scale in a global enterprise. Their participation and successful completion of the pilot assessment offered valuable insights and confirmed the usefulness of the CMMI AIM best practices that will help organizations worldwide adopt AI in a more structured, responsible, mature, and outcome-focused manner.”

Dr. Sankaran Venkataramani, Partner – Corporate Services: Business Consulting, KPMG, said, “The CMMI AIM pilot represents an important step in defining how AI maturity can be assessed and operationalized at enterprise scale. Infosys’ successful completion of the CMMI AIM pilot reflects how AI can be embedded into engineering and service delivery with the controls and oversight required to operate at scale. It reflects a mature approach to balancing productivity gains with quality, risk management, and accountability.”