Overview
Aethero designs and manufactures high-performance, space-rated computers for platforms ranging from the smallest CubeSat to large space stations. The company's platform support includes individual, multiple redundant or distributed (ECM) Edge Computing Modules to distributed (HPC) High Performance Computing clusters designed to allow for the Capturing, Processing and Management of data in the Aether.
Aethero is leveraging standard architectures such as the CubeSat or PC104 framework, state-of-the-art radiation-hardened commercial components, and modern software operating systems to provide a high performance, highly capable single board computers, or multiple redundant or distributed computing configurations. The versatile architecture means that the system can be used for a variety of applications such as Autonomous Spacecraft Operation, Machine Vision Operations such as [VPS] Visual Positioning Systems or Optical Navigation, Imagery Processing ([UV/EO/IR] Ultraviolet/Electro-Optical/Infrared, [MSI] Multi-Spectral, [HSI] Hyperspectral, [SAR] Synthetic Aperture Radar, [LIDAR] Light Detection and Ranging, [TIR] Thermal Infrared), [RF] Radio Frequency Signal Processing such as Link-Budget Optimization, Video/Image processing such as Manipulation or Segmentation, Object Detection with Classification, [AI] Artifical Intelligence/[ML] Machine Learning Applications, [SDR] Software Defined Radio, Data Compression/Management, etc.
Hardware Progression
More efficient manufacturing nodes along with more optimized domain specific processor designs have allowed Aethero's Edge Computing Modules to become miniaturized and far more powerful while having an overall lower power consumption.
Smart Software
New optimized AI/ML software technologies have unlocked a world of opportunities for more capability than ever before from Aethero's Edge Computing Modules. From daily monitoring of targeted areas to real-time weather data over hundreds of square kilometers, Aethero Edge Processing is the way to go.
Our Products:
- NxN-ECM (Nvidia-NX/Nano Edge Computing Module)Aethero's NxN Edge Computing Module based on the Nvidia Orin NX or Nano. The NxN is available in Modular or Multiple Redundant or Distributed Computing Modules in Spacecraft. Additional expansion modules include a PC104 Adapter, PCIe Full Sized Expansion Module, RT PolarFire FPGA Expansion Module, OBC Expansion Module (VectorNav VN310 IMU + Advantech PCM-2300MR MRAM + Novatel OEM7 GPS), SDR Expansion Module (Epiq Sidekiq Stretch + DVB-S2X IP Core + Power Amplifier). Compatible Radiator Expansion Modules for Spacecraft are offered (For CubeSats only, with various external view factors). The NxN also supports Distributed Computing Modules in a Server Rack Format (NxN modules in a server rack style enclosure, utilizing the expansion connector for distributed computing or space cloud infrastructure in datacenters in space stations or bases). Datasheet/ICD and CAD files available upon request, please contact us at info@aethero.com for more information.
- NxA-ECM (Nvidia-AGX Edge Computing Module)Aethero's upcoming Edge Computing Module, model NxA based on the Nvidia AGX Orin. Release date TBD.
- 0x1-ECMAethero's upcoming first generation RISC-V custom silicon for in-sensor computational processing applications. Release date TBD.
- AMATDT (Automated Model Annotation, Training & Deployment Tool)Aethero's Automated Model Annotation, Training & Deployment Tool allows users to selectively choose models they want and customize them with flags to choose what the model displays. If there is not an existing model, the tool allows users to annotate new imagery to add one to their available Aethero Edge Computing Module model deployment portfolio and offer the model to other Aethero users in a model marketplace.
- AetherAethero's multi-platform software framework for the deployment and management of fleet systems and software of Aethero Edge Computing Modules. Includes multi-modal AI/ML support on cloud infrastructure for large-scale operational insights by combining data from the data gathered by each Aethero system and external information (API available to add external information sources).
Unique Features, Unique Opportunities ⸻
Build. Sync. Experiment. Learn.
100
TOPS Compute Power on the NxN
7
Years Expected Lifespan in LEO on the NxN
50
kRad TID Radiation Tolerance on the NxN
4+
Available Expansion Modules on the NxN
Aethero's onboard software includes a thin, headless system containing a minimal set of packages and tools needed to boot the system. The onboard system will allow you to run containerized applications and will provide services such as [OTA] Over the Air software updating. The OTA testing or updating and fleet management or system level testing is accessed through Aethero's unified Aether Software. An automated framework for platform testing is also available within the Aether Software; it includes support for the Hardware, [BSPs] Board Support Packages and Software - this allows users to develop, debug and test multi-node device systems reliably, scalably and effectively.
Aethero’s AMATDT (Automated Model Annotation, Training & Deployment Tool) that is integrated within the Aether Software can be utilized to customize models deployed on Aethero’s Edge Computing Modules. Current imagery support includes RGB, Multispectral, and Hyperspectral data.
Build: Model customization can be achieved by selecting different flags for different objects the models can process, multiple flags can be combined. If a model is not offered, Aethero's customization tool can be utilized to add it instead!
Sync: Easily test, update and deploy software as well as board support packages seamlessly over the air across the range of Aethero Edge Computing Modules and platforms.
Experiment: Receive high value, frequent time series AI/ML edge processed space data from Aethero Edge Computing Modules offering unprecedented nearly instant abilities to gather actionable and operational insights.
Learn: Combine and manage multiple data inputs from Aethero Edge Computing Modules across various platforms as well as combine the data with other sources to achieve multi-modal AI/ML outputs.
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