AERAYAN
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(02)Platform brief
Aerayan Compute
In development

AeraCloud

Cloud infrastructure engineered for extreme workloads.

Fig. P—02 — Scientific Infrastructure
Spec 01
GPU-dense
Fabric-interconnected clusters
Spec 02
Tiered
NVMe + cold object storage
Spec 03
K8s-native
Workload orchestration
Overview

Purpose-built compute for research institutions and deep-tech teams — long-running simulations, petabyte-scale data and GPU-dense training.

AeraCloud is not a general-purpose cloud. It is engineered for workloads that run for weeks, datasets measured in petabytes, and teams for whom downtime means lost science. A distributed architecture with GPU fabric interconnects is designed to deliver bare-metal performance with cloud elasticity, while orchestration, storage tiers and observability are shaped around research, not web traffic.

HPCDistributed storageOrchestration
Capabilities
  1. .01GPU clusters with high-bandwidth fabric interconnect
  2. .02Tiered distributed storage from NVMe to cold archive
  3. .03Long-running simulation scheduling and checkpointing
  4. .04Kubernetes-native workload management
  5. .05Multi-region redundancy by design
Operated by
002. / Scientific Infrastructure
Aerayan Compute

High-performance, distributed infrastructure for simulation, training and petabyte-scale data — the substrate every other division runs on.

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(09)Contact
Response within 48h

Build the frontier
with us.

Whether you are a research partner, an investor or an engineer — if the work is hard and matters, we want to hear from you.

[email protected]
PartnersResearch institutions and enterprises co-developing with a division.
InvestorsLong-horizon capital aligned with decade-scale programmes.
TalentScientists and engineers who want the hardest problems.