Rugged NVIDIA Jetson Orin NX
March, 2024

Dear  marin ,

Safeguarding Tomorrow:

7StarLake's Advanced L4 and L5 Solutions for Autonomous Safety

As the landscape of autonomous driving evolves, prioritizing the safety of passengers and pedestrians remains paramount. Leveraging Intel, Ampere, and NVIDIA platforms, 7StarLake has engineered L4 and L5 solutions that prioritize safety through the incorporation of safety islands. This paper explores how these solutions enhance safety and reliability in autonomous mobility, setting a new standard for the industry.
L4 Solution: Reinforcing Safety through Redundancy
7StarLake's L4 solution, developed across Intel, Ampere, and NVIDIA platforms, emphasizes achieving high levels of automation while placing safety at the forefront. By integrating safety islands into the system architecture, this solution enhances redundancy in critical components such as sensors, processors, and communication networks. The incorporation of safety islands facilitates seamless failover and recovery, minimizing the risk of single points of failure and enhancing the vehicle's resilience in demanding driving scenarios.
L5 Solution: Leading the Way in Fully Autonomous Safety
 
Building upon the principles of the L4 solution, 7StarLake's L5 solution on Intel, Ampere, and NVIDIA platforms represents the pinnacle of safety in autonomous mobility. Safety islands are integral to this solution, providing redundant systems for perception, decision-making, and control. With advanced safety features including redundant power supplies, isolated communication channels, and independent verification mechanisms, this solution establishes new standards for safety in fully autonomous vehicles.
Integration with Automotive Safety Island
 
Safety islands serve as dedicated subsystems within the autonomous vehicle architecture, designed to ensure the integrity and reliability of critical functions. By segregating safety-critical components from non-essential systems, safety islands mitigate the risk of single points of failure and enhance the vehicle's resilience to faults, errors, and cyberattacks. Through seamless integration with safety islands, 7StarLake's solutions on Intel, Ampere, and NVIDIA platforms herald a new era of autonomous mobility where safety takes precedence.

7StarLake's L4 and L5 solutions

NV200
NV200 is an ultra-small-form-factor (USFF) MIL-SPEC rugged edge compute solution. 
Designed using a Modular Open Systems Approach (MOSA) with a modular chassis and architecture design, integrating either the NVIDIA Jetson Orin NX edge AI system on module (SOM), NV200 provides the performance and flexibility demanded by emerging autonomous and uncrewed missions, in an ultra-compact and lightweight form factor. NV200 is engineered to withstand austere environments and is SWaP-optimized for integration and deployment in highly space-constrained platforms. Learn more: NV200 | 7StarLake 
NV300
NV300 represents a cutting-edge ultra-small-form-factor (USFF) MIL-SPEC rugged edge computing solution.
 It employs a Modular Open Systems Approach (MOSA) with a modular chassis and architecture design, allowing seamless integration of either the NVIDIA Jetson AGX Orin edge AI system on module (SOM). This compact and lightweight device delivers the required performance and flexibility for upcoming autonomous and uncrewed missions. Engineered to endure harsh conditions, the NV300 is optimized for Size, Weight, and Power (SWaP), making it suitable for deployment in space-constrained platforms. Learn more: NV300 | 7StarLake 
TEC300S
The TEC300S, an IP65 Rugged Edge MXM-GPU Computer powered by Ampere® Altra® Q64, emerges as an optimal solution for enterprises aiming to enhance their edge computing infrastructure.
 Featuring robust processing prowess, a durable build, and extensive connectivity choices, it stands out as the preferred option for businesses striving to maintain a competitive edge in the rapidly evolving digital realm. Learn more:  TEC300S | 7StarLake 
When Reliability is Key - You Need 7StarLake.
 
 
Martin CEO 7StarLake
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