In this Article
- NVIDIA RTX vs Jetson Orin AGX vs DGX Spark: Choosing the Right AI Platform for Your Industrial Application
- 🔍 What Are NVIDIA’s GPU Platforms?
- NVIDIA RTX (GPU) – High Performance for Workstations & AI Inference
- NVIDIA AGX (Jetson) – Embedded AI for the Edge
- NVIDIA DGX – AI Supercomputing for Development & Research
- 🧾 NVIDIA GPU Platform Comparison Table: RTX vs AGX vs DGX
- ✅ Platform Comparison: Pros and Cons
- 🏭 Industrial Application Areas
- Need Help Choosing the Right AI Platform?
NVIDIA RTX vs Jetson Orin AGX vs DGX Spark:
Choosing the Right AI Platform for Your Industrial Application
As AI and Edge Computing evolve, selecting the right NVIDIA GPU platform can make or break your application’s performance, reliability and scalability. NVIDIA offers a range of platforms – RTX, AGX (Jetson), and DGX – each tailored for different use cases, from desktop workstations to rugged edge devices and data centre-grade AI development systems.
In this article, we’ll compare RTX, AGX and DGX platforms, outline their strengths and weaknesses, and explore where each fits best in industrial and embedded applications.
🔍 What Are NVIDIA’s GPU Platforms?
NVIDIA RTX (GPU) – High Performance for Workstations & AI Inference
NVIDIA’s RTX GPUs (such as the RTX 4000, 5000, and 6000 Ada series) are designed for professional workstations. Built on the latest Ada Lovelace or Ampere architecture, they deliver powerful graphics and AI inferencing for design, simulation, video analytics, and edge AI tasks.
Key Specs (e.g. RTX 6000 Ada):
- 18,176 CUDA Cores
- 568 Tensor Cores (4th Gen)
- 48 GB GDDR6 ECC memory
- Up to 1,400 AI TOPS
- PCIe or MXM form factors available
Best For: Industrial PCs, AI inference in control rooms, CAD, simulation, machine vision and AI model deployment.
NVIDIA AGX (Jetson) – Embedded AI for the Edge
The Jetson AGX Orin is NVIDIA’s flagship edge AI platform, offering industrial-grade performance in a compact form factor. It’s purpose-built for autonomous machines, robotics, and embedded systems.
Key Specs (Jetson AGX Orin):
- Up to 2048 CUDA Cores (Ampere GPU)
- 64–275 AI TOPS depending on configuration
- 12-core ARM Cortex-A78AE CPU
- Up to 64 GB LPDDR5 memory
- Industrial temperature range (-25°C to +80°C)
Best For: Real-time AI at the edge – smart factories, autonomous vehicles, logistics, retail and outdoor environments.
NVIDIA DGX – AI Supercomputing for Development & Research
DGX systems are NVIDIA’s top-tier platforms for AI model training and large-scale development. The latest DGX Spark delivers workstation-class AI compute power using the Grace Blackwell GB10 Superchip, enabling local model training and fine-tuning without relying on the cloud.
Key Specs (DGX Spark):
- Blackwell architecture GPU
- 20-core ARM CPU + GPU integration
- 128 GB unified LPDDR5X memory
- Up to 1,000 AI TOPS (FP4)
- Up to 4 TB NVMe SSD
- 200 GbE ConnectX-7 SmartNIC for clustering
⚠️ Note: The DGX Spark is not currently considered industrial-grade and is not available from BVM. If an industrial version is released in the future, our global partner network will likely offer supported systems, and BVM will be ready to assist.
Best For: Training and fine-tuning large AI models (up to 200 billion parameters), AI research labs, development of LLMs and enterprise AI prototyping.
🧾 NVIDIA GPU Platform Comparison Table: RTX vs AGX vs DGX
| Feature / Model | NVIDIA RTX 6000 Ada | Jetson AGX Orin | NVIDIA DGX Spark |
|---|---|---|---|
| GPU Architecture | Ada Lovelace | Ampere | Blackwell |
| CPU | N/A (used with host system CPU) | 12-core Arm Cortex-A78AE | 20-core Grace (10x X925 + 10x A725) |
| CUDA Cores | 18,176 | 2,048 | 6144 |
| Tensor Cores | 568 (4th Gen) | 64 (3rd Gen) | 2048 (5th Gen) Estimate |
| Memory | 48 GB GDDR6 ECC | 32–64 GB LPDDR5 | 128 GB LPDDR5X (unified CPU/GPU) |
| AI Performance | Up to 1,400 TOPS (INT8) | Up to 275 TOPS (INT8) | Up to 1,000 TOPS (FP4) |
| Storage | Via host (SSD/HDD) | eMMC / NVMe via carrier | Up to 4 TB NVMe SSD |
| Form Factor | PCIe workstation / embedded MXM | Compact module | Ultra-compact desktop |
| Power Consumption | 300W (GPU only) | 15–60W (TDP) | Estimated 100–150W |
| Temperature Range | 0°C to 50°C typical | -25°C to +80°C (industrial) | 0°C to 40°C (non-industrial) |
| Best Use Case | Workstations / industrial AI PCs | Edge AI / embedded / robotics | R&D, AI training, model fine-tuning |
| Industrial Grade? | No (some rugged systems use it) | Yes | ❌ Not currently considered industrial |
| Estimated Price (GBP) | £6,000 (GPU only) | £1,500 – £2,500 (full dev kit) | £3,200 – £4,000 (prebuilt system) |
✅ Platform Comparison: Pros and Cons
| Platform | Pros | Cons |
|---|---|---|
| RTX | High-performance GPU for workstations; great for visual computing and inferencing | Not ruggedised; not ideal for edge or mobile environments |
| AGX (Jetson) | Rugged, low power, edge-ready; ideal for real-time embedded AI | Limited memory and training capacity |
| DGX | Unmatched AI model training performance; local fine-tuning of large models | Not suitable for harsh environments; higher power draw |
🏭 Industrial Application Areas
Where to Use RTX:
- AI-powered inspection systems
- Visual analytics and real-time inferencing
- Simulation and modelling for manufacturing and engineering
- Industrial PCs with PCIe expansion
Where to Use AGX:
- Autonomous robots and drones
- Smart traffic systems and edge surveillance
- Predictive maintenance and machine control
- Outdoor embedded systems with wide temperature tolerance
Where to Use DGX:
- AI research and model development labs
- Universities and AI centres
- Prototype LLM development and dataset training
- On-premise enterprise AI workflows
Need Help Choosing the Right AI Platform?
At BVM, we specialise in supplying Industrial and Embedded Computing solutions designed to meet the demands of real-world applications. Whether you’re running AI at the edge with Jetson Orin, deploying advanced visual processing with an RTX GPU, or exploring the frontier of AI model training with a high-performance computing solution, we’re here to help.
📞 Contact our sales team today on 01489 780144 or email sales@bvmltd.co.uk.
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