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Nutanix and ChronoScale plan to integrate their platforms so enterprises can extend into ChronoScale GPU-as-a-Service, pre-paid inference tokens through ChronoScale Token Factory, and a locally-deployed ChronoScale Foundry for enterprise agentic AI workflows
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ChronoScale to leverage Nutanix Agentic AI software solution for neoclouds to deliver broad portfolio of accelerated compute and AI services
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Collaboration extends to go-to-market, joint solution development, technical integration, and customer engagement programs
Nutanix, a hybrid cloud leader and AI innovator, and ChronoScale Holdings Corporation, an accelerated compute platform purpose-built to support demanding artificial intelligence workloads, 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 โ 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 โ pre-paid inference tokens backed by leading open-source models โ 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.
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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.
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