Performance per dollar
About 2x the throughput per dollar of cloud GPU instances.
Hardware and software, built together.
Nucore designs the compute infrastructure and the software that runs on it. One integrated system for training, inference, multi-agent workloads, data security, and data labeling, deployed on your own infrastructure.
COMPUTE INFRASTRUCTURE
Spartan
Spartan is our flagship compute infrastructure unit, engineered specifically for agentic AI workloads. Built on NVIDIA architecture and modified by Nucore, it delivers about twice the compute throughput per dollar of equivalent cloud GPU provisioning, with memory and orchestration tuned for long-running reasoning loops and multi-agent systems. It is in market today with a working deployment and validated performance.
- BaseNVIDIA architecture, modified by Nucore
- PerformanceAbout 2x throughput per dollar vs cloud GPUs
- Built forAgentic AI, reasoning loops, multi-agent orchestration
- OptimizationsWorkload tuning, thermal, memory persistence
- DeploymentOn-premise or dedicated environment
Render — representative of the expected production unit
LLM INFRASTRUCTURE
Kronos
Kronos is compute infrastructure purpose-built for large language models. It runs powerful LLMs entirely on local infrastructure, enabling cross-team and cross-organization collaboration on shared models without sending a single byte to a third-party cloud. Your weights, your data, and your fine-tunes stay inside your walls.
- Built forTraining and serving large language models
- CollaborationCross-team and cross-org local AI
- Data residencyModels and data stay on your infrastructure
- InterconnectHigh-bandwidth fabric for distributed training
- DeploymentOn-premise clusters, fully owned
AGENTIC SECURITY PLATFORM
Nucore Cloak
Nucore Cloak is an agentic AI platform that sits between your teams and every AI outlet they use. Acting as a trusted third party to each tool in the company, Cloak inspects and intercepts prompts and responses in real time, redacting sensitive data before it can ever leave the organization. Nothing reaches an external model without passing through the cloak.
- RoleThird-party proxy across every AI outlet
- ProtectionReal-time sensitive data detection and redaction
- CoverageEvery internal and external AI tool in the company
- AgenticAutonomous policy enforcement and routing
- ComplianceFull audit logging and data-loss trails
DATA ENGINE
Helios
Helios is our data engine. It ingests raw, unstructured data and automatically labels and annotates it at scale, producing the high-quality, human-validated training datasets that feed the growth of large language models. Helios turns the data you already have into fuel for the models you want to build.
- InputRaw, unstructured data of any modality
- OutputLabeled and annotated training datasets
- ScaleAutomated annotation pipelines
- PurposeFuel LLM training and fine-tuning
- QualityHuman-in-the-loop validation
The architecture is the advantage.
Co-designed stack
We build the hardware and the software from one architecture, so the software runs faster than anything retrofitted onto commodity GPUs.
Built for agentic AI
Tuned for memory persistence, reasoning loops, and multi-agent orchestration.
You own it
Deploy on-premise with full data sovereignty and a defined four-year lifecycle.