Nutanix and ChronoScale have announced a strategic partnership to jointly develop AI infrastructure targeted at the enterprise market, combining Nutanix’s hybrid cloud software with ChronoScale’s accelerated computing capacity, GPU as a service (GPUaaS), and AI services. The agreement also includes NVIDIA-based technology integration, although many of the announced features are still in planning or development stages.
The key points of the Nutanix-ChronoScale alliance in 20 seconds
- ChronoScale plans to use Nutanix software to manage infrastructure, Kubernetes, and AI services.
- Clients will be able to combine on-premises infrastructure with demand-based external GPU capacity.
- ChronoScale Foundry can be deployed within the client’s environment to run agents and store data locally.
- The envisioned infrastructure includes NVIDIA HGX B300 systems and Spectrum-X networks.
- Several announced integrations are not yet commercially available.
The approach aims to address one of the common challenges organizations face when moving from AI testing to production: having simultaneous access to GPUs, on-premises infrastructure, management tools, and a platform to oversee workloads.
ChronoScale will primarily provide the accelerated computing capacity, while Nutanix will supply much of the software layer for managing these resources. Both companies also intend to jointly maintain demo and proof-of-concept environments for enterprise clients.
On-demand GPU to Extend On-Premises Infrastructure
One of the most interesting elements of the agreement is the potential to extend a Nutanix installation within the client’s premises or data centers using GPU resources provided by ChronoScale.
The company proposes two modalities.
For predictable workloads, reserved capacity will be available via their GPUaaS service. For ad-hoc or experimental needs, they suggest ChronoScale Token Factory, a system based on prepaid inference tokens and open-source models.
The goal is to integrate both services with Nutanix’s enterprise AI offerings, including Agent Gateway and Private Inference.
The technical objective is to have a shared control plane for local resources and capacity provided by ChronoScale. If implemented as planned, an organization could run certain applications and data within its private infrastructure and tap into additional GPU capacity when workload demands surge.
This model is particularly relevant to the growth of hybrid AI. The significant investment needed to deploy large numbers of accelerators means not all companies can justify permanently maintaining such capacity on-site.
At the same time, some applications require data residency, security, or control that make transferring processing entirely to external infrastructure impractical.
The combination of both environments aims to cover this intermediate space.
ChronoScale Foundry Can Run Inside the Client’s Environment
The second component of the partnership is ChronoScale Foundry, an enterprise platform for building, executing, and managing AI agent workflows.
Nutanix plans to enable deployment within the client’s own infrastructure.
According to the partners, agents, enterprise data, and workflow states will remain within the organization’s controlled boundaries. The platform will also integrate with the Nutanix Kubernetes Platform catalog to streamline deployment.
This approach addresses a growing concern in generative AI enterprise projects: it’s no longer enough to just have a capable model for generating text or code.
Agents need access to internal applications, databases, documents, and other systems to complete tasks. This increases requirements related to permissions, isolation, auditing, and data control.
Keeping this layer within a private infrastructure can be especially important for companies handling sensitive information or required to meet strict data governance and sovereignty standards.
Note that not all features mentioned are currently available. Nutanix explicitly states that many products, integrations, and functionalities mentioned are still in planning, development, testing, or rollout stages. Their availability and timelines are subject to change.
NVIDIA Will Play a Major Role in Accelerated Infrastructure
The collaboration also leverages the relationship both companies maintain with NVIDIA.
ChronoScale is an NVIDIA Cloud Partner, while Nutanix acts as a technology partner and independent software vendor offering validated solutions for enterprise AI infrastructure.
ChronoScale plans to deploy NVIDIA HGX B300 systems, interconnected via NVIDIA Spectrum-X. Their platform will also utilize NVIDIA AI Enterprise, including technologies like NIM microservices and NVIDIA NeMo.
This choice reflects how enterprise AI projects are evolving from standalone accelerator purchases to architectures incorporating GPU servers, storage, high-speed networking, Kubernetes, models, and management tools.
Nutanix aims to carve out a significant part of this management layer.
In recent years, Nutanix has expanded beyond hyperconverged infrastructure and hybrid cloud to include tools for deploying and managing AI workloads.
ChronoScale adds the other component: accelerated capacity that can be accessed without each customer needing to physically deploy all the GPUs they might require during peak demand.
The two companies also foresee joint commercial efforts, technical collaboration, and solution development. Their target clients include organizations in the Global 2000 and large enterprises interested in AI infrastructure and services that offer greater control over data.
There is, however, an important caveat. The announcement states that the collaboration establishes a framework that is expected to be formalized through one or more definitive agreements. Therefore, it’s important to distinguish between the planned scope of the partnership and the capabilities already available to customers.
The approach points toward a growing model in enterprise infrastructure: keeping data, applications, and certain AI workloads within a private cloud, while connecting to large external accelerator reservoirs when capacity needs increase.
Frequently Asked Questions
What have Nutanix and ChronoScale announced?
They have formed a partnership to combine Nutanix’s hybrid cloud and infrastructure software with ChronoScale’s accelerated computing and AI services.
Will it be possible to use external GPUs from a Nutanix infrastructure?
That is one of the announced goals. ChronoScale intends to provide capacity via GPUaaS, while Nutanix and ChronoScale work on integration to manage local and external resources from a unified environment.
What hardware will ChronoScale use?
They plan to deploy NVIDIA HGX B300 systems with NVIDIA Spectrum-X networks, plus NVIDIA AI Enterprise components such as NIM and NeMo.
Are all these features available now?
No. Several integrations and services are still in planning, development, testing, or rollout stages. Nutanix emphasizes that their availability and timelines can change.
via: nutanix
