SoftIron unlocks an edge-first public cloud that rewrites the rules on your terms, in your environment.
At its core, artificial intelligence (AI) is driven by models and workloads running on acceleration resources such as graphics processing units (GPUs). SingularIT™ supports AI workloads by providing a transparent fabric of resources with minimal operational overhead. It comes online quickly, works immediately, and continuously supplies the full range of required resources without bottlenecks or redesign as your organization scales. Networking, storage for models and outputs, and GPU compute power all scale freely, without operational intervention; pre-, post-, and co-processing become routine.
This cloud-like experience also supports multiple models, users, and workloads sharing processor and GPU resources, scaling from a standalone deployment to regional data-center scale without modifying the architecture. The only difference between the smallest deployment and the largest is resource size.
Highlights:
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Turn-key in hours. Set up is easy, delivered as an edge-first public cloud experience. Install workloads from our cloud app store and start using them immediately.
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Built for an evolving AI journey. Expand, run models in parallel, support multiple models, and compare software stacks or acceleration platforms as needs change.
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Silicon-agnostic by design. Use any type of acceleration—side by side, across tenancies, and on your terms—because all resources are transparently virtualized.
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Any model to any silicon. Map algorithms to the best-fit hardware, in parallel, with resource sharing and strong isolation, within or across tenancies.
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Scale without redesign. Add resources incrementally or in bulk, without architectural changes.
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No integration tax. AI resources are shared and provided transparently, without care-and-feeding overhead.
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Offline operation. Run AI workloads without internet connectivity.
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IP stays local. Models, tools, code, training data, inputs, and outputs remain yours, without exposure or leakage.
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True tenancies and GPU sharing. Reuse acceleration assets efficiently across the organization.
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Cost efficiency. Often ~1/10th the cost of conventional public cloud.
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No usage-based billing for on-prem deployments. Full utilization 24/7 is expected and supported.
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Expandable to regional scale and beyond. Grow without limit, then federate across sites.
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Very low latency. Everything is local and native: fast interactions, versioning without penalty, and improved security without complicated, finops-driven constraints.
Start your AI journey here and keep scaling without limits. We focus on resource virtualization so infrastructure stays out of the way, from experimentation through production. AI technology moves fast; we make sure the platform keeps up.