Tactical AI Computing Platforms

NVIDIA GPU AI computers are purpose-built to support demanding AI workloads across defense, counter-UAS, autonomous, and C4ISR applications where real-time sensor processing and rapid decision-making are mission-critical. These platforms enable on-platform AI execution for intelligence analysis, threat detection, target recognition, and situational awareness while reducing dependence on backhaul connectivity in contested or bandwidth-limited environments.

To address varying operational scales and deployment requirements, 7StarLake offers a structured AI computing portfolio built on three NVIDIA platforms, powering the tactical edge: NV300 powered by Jetson AGX Orin for distributed edge intelligence, NV500 based on Jetson Thor T5000 for high-performance fusion, and DGX10 utilizing DGX Spark GB10 for command-level AI aggregation and mission coordination.

Performance Scaling - AI Throughput Comparison

The graphic illustrates how AI computing performance scales across NVIDIA platforms to address increasing mission complexity. NV300 serves as the entry-level platform for edge and tactical AI workloads, NV500 provides a significant increase in AI throughput for more demanding applications, and DGX10 represents the highest performance tier for large-scale AI processing and aggregation. Together, these platforms present a clear performance progression that enables buyers to align compute capability with operational requirements.

 

 

Compute Architecture Comparison

 

Model	NV300	NV500	DGX10
CPU	12-core ARM	14-core ARM	20-core ARM
GPU	Jetson Orin AGX	Jetson Thor	DGX Spark
AI GPU	275 TOPS (INT8)	2070 TFLOPS (FP4)	1.0 PFLOP (FP4)
RAM	64GB	128GB	128GB
Storage	64GB eMMC	1TB	2TB
Networking	2x1G + 2x3G-SDI	1x100G + 1x1G	2x200G + 1x10G
Power	12 - 32 VDC	12 - 32 VDC	12 - 32 VDC

 

 Connecting Distributed Tactical Swarms Across Ground And Air

 

 

NV300 installed on each individual UGV and UAV for real-time edge perception.

NV500 positioned on a control vehicle for local swarm coordination and sensor fusion.

DGX10 stationed at the command truck to serve large multi-models and direct the entire swarm.

 

 

 

Coordinating Maritime Operations Across USV Fleets

 

 

 

Nodes: NV300 integrated directly into distributed sensor pods for raw data filtering.

Aggregation: NV500 systems deployed on Edge ships for vessel autonomy and tracking.

Command: DGX10 centralized on the Command ship handling fleet-wide AI fusion and command.

NV300: The Foundational Tactical Edge AI Node

 

GPU: Jetson AGX Orin

Compute: 275 TOPS (INT8)

Net: 2 x 1G + 2 x 3G-SDI

Why Choose: 

• Proven Orin ecosystem
• Cost-effective development at scale
• Low power 65W

Best for: 

• Counter-UAV (single sensor)
• EO/IR + Basic RF
• Autonomous UGVs
• Al video analytics

 

 

NV500: The High-performance Edge AI Brain

PU: Jetson Thor T5000

Compute: 2070 TFLOPS (FP4)

Net: 1x100G + 1x1G 

 

Why Choose: 

• Massive jump in Al throughput
• 100G networking for extreme data ingestion
• Native support for large transformer-based models

Best for: 

• Advanced multi-sensor fusion (EO/IR + RF + Radar)
• C-UAS tracking & classification
• USV mother ship autonomy
• Al-based EW signal processing
• High-resolution radar processing

 

 

DGX10: The Tactical AI Super Node

GPU: DGX Spark GB1O

Compute: 1.0 PFLOP (FP4)

Net: 2 x 200G + 1 x10G

 

Why Choose:

• 1 PFLOP-class AI throughput
• 200G networking for massive sensor aggregation
• Uncompromised large model support

Best For: 

• Model training and fine-tuning
• Multi-model fusions
• Perception + Navigation
• Radar subsystem super nodes

 

 

Select the Optimal NVIDIA AI GPU Servers