Traditional data centers were built for general-purpose workloads. Nicroo Core AI data centers are built for AI.
Every layer of a traditional facility carries an assumption that AI breaks.
Six design decisions that follow from putting the accelerator, not the server, at the center.
The rack, the row, and the hall are laid out around accelerator nodes, not around servers that happen to carry them. Density is the design constraint, not an afterthought.
AI workloads talk sideways. Training synchronizes gradients, and serving shards models across nodes. The interconnect is built for that traffic pattern.
High-density racks need direct liquid cooling and power delivery that can absorb the load swings of AI jobs. Facilities are sited and engineered with that in mind.
Placement understands the shapes of AI work: long training jobs, latency-bound inference, and bursty, stateful agent stages. That understanding comes from NiNI Labs.
The metric that matters is useful work per watt and per dollar. Utilization, batching, and cache hit rates are tracked end to end, not per server.
Tenant isolation at the hardware, network, and scheduler layers, and the option of dedicated capacity for teams with data-residency or compliance requirements.
Most data centers are built and then handed to whatever software shows up. Nicroo Core is built alongside the runtime, the gateway, and the lab.
Research on scheduling, utilization, and memory informs how the facility is designed and how capacity is scheduled.
Learn moreThe serverless agent runtime is the first workload written for this metal: stages that scale to zero and burst across capacity.
Learn moreThe gateway routes across 65+ models today. Nicroo Core is where first-party capacity for that routing can live.
Learn moreReserved, topology-aware capacity for jobs that need thousands of accelerators talking to each other.
Dedicated capacity and isolation for workloads that cannot leave a jurisdiction or share hardware.
Infrastructure that is instrumented for measurement, with the lab that designed it on the other end of the line.
Facility design informed by NiNI Labs research; conversations with power, site, and hardware partners; early capacity commitments.
An initial AI-optimized facility running NiNI Cloud and first-party Nicrron capacity, with design-partner workloads alongside.
Additional sites, chosen for clean power and proximity to demand, operated as one scheduled pool.
Not yet. Nicroo Core is in the design and partnership phase. The stack above it — the Nicrron gateway, Ninoo, and the NiNI Labs research — is live and running on third-party capacity today.
The intent is both: capacity consumed through NiNI Cloud and the Nicrron gateway for most customers, and dedicated or reserved capacity for teams whose workloads need it.
Facilities are designed to be accelerator-agnostic so that generations and vendors can change without redesigning the hall. Specific configurations will be shared with design partners.
Email support@nicrron.ai with the subject "Nicroo Core". Capacity commitments, site and power partnerships, and hardware collaborations are all conversations we are having now.
Capacity commitments, site and power partners, hardware collaborations. If you are planning for AI at supercomputing scale, let's talk.
Talk to us about Nicroo Core