Technology
Redsand delivers compute you can build on, not just rent.
At the heart of our AI infrastructure is a modular and scalable stack that combines GPU-accelerated edge hardware with a flexible orchestration layer. This enables responsive, secure, and sovereign deployment of inference workloads, whether on-site, in hybrid setups, or across a distributed edge network.
Core Components of the Redsand Stack
Hardware
Software
AI Frameworks
Security
Layer
COMPONENT
FUNCTION
Hardware
RedBox Series
High-performance, modular infrastructure placed close to where data is created. Includes built-in system monitoring through open-source dashboards for real-time visibility.
Software
R-AIMTM
Manages and coordinates RedBox units to keep workloads balanced and systems running smoothly across distributed locations.
AI Frameworks
Open-Source Model Support
Supports widely used open-source AI tools. Run your own models or use pre-integrated setups through RedBox and R-AIMTM.
Security
End-to-End Encryption
Protects your data with encryption, access controls, and optional air-gapped mode. Redsand does not access your data.
Your Stack. Your Way.
Bare Metal Mode
Your team manages the operating system and container environment.
Best suited for sovereign AI clouds and deep integration projects.
Provides maximum flexibility and control over your software stack.
Full Stack Mode
Redsand provides a complete environment with operating system, drivers, container tools, and monitoring
Ideal for enterprises or fast-moving teams looking for ready-to-run infrastructure
No complex setup. Simply deploy and run
your workloads
your workloads
Both modes support:
Regional edge or campus deployment.
Private or hybrid cloud interconnect.
Optional R-AIMTM network layer for managing distributed inference across multiple locations.
RedBox Configurations (Typical)
RedBox One
(10 KW)
RedBox Max
(75 - 100 KW)
RedBox Ultra
(350 - 400 KW)
Ideal For
Compact edge deployments, pilot programs, AI PoCs
Multi-model inference, enterprise hubs, campus edge
National AI infrastructure, sovereign clouds, compute-intensive mesh orchestration
GPU Configuration
8 × NVIDIA L40S or equivalent
64 × NVIDIA H100 SXM or equivalent
360 × NVIDIA H100 SXM or equivalent
Ideal For
Compact edge deployments, pilot programs, AI PoCs
Specs Snapshot
8 × NVIDIA L40S or equivalent
Ideal For
Multi-model inference, enterprise hubs, campus edge
Specs Snapshot
64 × NVIDIA H100 SXM or equivalent
Ideal For
National AI infrastructure, sovereign clouds, compute-intensive mesh orchestration
Specs Snapshot
360 × NVIDIA H100 SXM or equivalent
All RedBox configurations:
Include high-speed networking with multi-GbE uplinks.
Feature scalable SSD and HDD storage for high-throughput workloads.
Support container-based inference using open source tools like Docker and Kubernetes.
Integrate with R-AIM for orchestration, job management, and mesh control.
Provide built-in observability through secure dashboards and system monitoring.
Are deployable in data rooms, telecom sites, enterprise campuses, or government-secure locations. These configurations serve as reference builds.
In practice, Redsand designs each system to match the specific use case, scale, and infrastructure needs of the customer.
Mesh Native by Default (R-AIM™️)
Distributed inference across multiple locations
Support for air gapped or hybrid cloud environments
Policy based deployment and live system monitoring
Real time visibility and control over performance and telemetry
Security & Sovereignty
Redsand is built for environments where control and trust are essential
Encryption in transit and at rest, secure boot, and full disk protection
Role based access controls with enterprise integration
Air gapped options for public sector or national cloud requirements
Redsand does not process or store customer data
Built for Scale
Redsand deployments grow with your needs
