Side-by-side, with the numbers that matter.
Two rigs, one table. Higher numbers win in cobalt; TDP and price flip.
Rig A
Figure 02
Figure · edge
Change
- 1X Neo
- Agility Robotics Digit
- Alibaba Qwen2.5-72B-Instruct (Q4 quant)
- AMD Instinct MI300X
- AMD Instinct MI325X
- AMD Instinct MI355X
- Anthropic Claude Opus 4.7
- Apple Mac Pro (M2 Ultra, 2023)
- Apple Mac Studio (M3 Ultra)
- Apple MacBook Pro 16-inch, M4 Max (2024)
- Apptronik Apollo
- Aurora
- AWS Trainium2
- Boston Dynamics Atlas
- Boston Dynamics Spot
- Cerebras Wafer-Scale Engine 3
- El Capitan
- Figure 02
- Frontier (OLCF-5)
- Google Cloud TPU v5p
- Groq Language Processing Unit
- Intel Gaudi 3 HL-325L
- MSI GeForce RTX 5090 Suprim Liquid
- NVIDIA B100
- NVIDIA B200
- NVIDIA DGX B200
- NVIDIA DGX H200
- NVIDIA DGX Spark
- NVIDIA Eos DGX SuperPOD
- NVIDIA GB200
- NVIDIA GB200 NVL72
- NVIDIA GeForce RTX 4090 Founders Edition
- NVIDIA GeForce RTX 5070 Ti
- NVIDIA GeForce RTX 5080 Founders Edition
- NVIDIA GeForce RTX 5090 Founders Edition
- NVIDIA GH200 Grace Hopper
- NVIDIA H100
- NVIDIA H200
- NVIDIA HGX B200
- NVIDIA Jetson AGX Thor
- NVIDIA RTX PRO 4500 Blackwell
- NVIDIA RTX PRO 5000 Blackwell
- NVIDIA RTX PRO 6000 Blackwell
- OpenAI GPT-5
- SambaNova SN40L Reconfigurable Dataflow Unit
- Sanctuary AI Phoenix
- Tesla Optimus
- The Stargate Project
- Unitree B2
- Unitree G1
- Unitree H1
Rig B
NVIDIA Jetson AGX Thor
NVIDIA · edge
Change
- 1X Neo
- Agility Robotics Digit
- Alibaba Qwen2.5-72B-Instruct (Q4 quant)
- AMD Instinct MI300X
- AMD Instinct MI325X
- AMD Instinct MI355X
- Anthropic Claude Opus 4.7
- Apple Mac Pro (M2 Ultra, 2023)
- Apple Mac Studio (M3 Ultra)
- Apple MacBook Pro 16-inch, M4 Max (2024)
- Apptronik Apollo
- Aurora
- AWS Trainium2
- Boston Dynamics Atlas
- Boston Dynamics Spot
- Cerebras Wafer-Scale Engine 3
- El Capitan
- Figure 02
- Frontier (OLCF-5)
- Google Cloud TPU v5p
- Groq Language Processing Unit
- Intel Gaudi 3 HL-325L
- MSI GeForce RTX 5090 Suprim Liquid
- NVIDIA B100
- NVIDIA B200
- NVIDIA DGX B200
- NVIDIA DGX H200
- NVIDIA DGX Spark
- NVIDIA Eos DGX SuperPOD
- NVIDIA GB200
- NVIDIA GB200 NVL72
- NVIDIA GeForce RTX 4090 Founders Edition
- NVIDIA GeForce RTX 5070 Ti
- NVIDIA GeForce RTX 5080 Founders Edition
- NVIDIA GeForce RTX 5090 Founders Edition
- NVIDIA GH200 Grace Hopper
- NVIDIA H100
- NVIDIA H200
- NVIDIA HGX B200
- NVIDIA Jetson AGX Thor
- NVIDIA RTX PRO 4500 Blackwell
- NVIDIA RTX PRO 5000 Blackwell
- NVIDIA RTX PRO 6000 Blackwell
- OpenAI GPT-5
- SambaNova SN40L Reconfigurable Dataflow Unit
- Sanctuary AI Phoenix
- Tesla Optimus
- The Stargate Project
- Unitree B2
- Unitree G1
- Unitree H1
0 of 47 fields comparable
⇄ swap sides| Spec | Figure 02 | NVIDIA Jetson AGX Thor |
|---|---|---|
| AI Inference Uplift X | 3 | — |
| AI Partner | OpenAI partnership models | — |
| Announcement Date | 2024-08-06 | — |
| Battery Energy Uplift PCT | 50 | — |
| Battery KWH | 2.25 | — |
| BMW Area | body shop (sheet-metal loading for welding) | — |
| BMW Deployment Months | 11 | — |
| BMW Parts Loaded MIN | 90,000 | — |
| BMW Runtime Hours MIN | 1,250 | — |
| BMW Shift Hours | 10 | — |
| BMW X3 Vehicles MIN | 30,000 | — |
| CPU Arch | — | Arm Neoverse-V3AE 64-bit |
| CPU Cores | — | 14 |
| CPU L2 Cache PER Core MB | — | 1 |
| CPU L3 Cache MB | — | 16 |
| CPU MAX Freq GHZ | — | 2.6 |
| Cuda Cores | — | 2,560 |
| Deployment Partner | BMW Manufacturing (Spartanburg, SC) | — |
| Deployment Status | retired | — |
| Devkit Networking | — | 1x 5GbE RJ45 + 1x QSFP28 (4x 25GbE) |
| Devkit Storage | — | 1TB NVMe M.2 Key M |
| FP4 Tflops Sparse | — | 2,070 |
| FP8 Tflops Sparse Unverified | — | 1,035 |
| GPU Arch | — | Blackwell, 5th-gen Tensor Cores |
| GPU MAX Freq GHZ | — | 1.57 |
| GPU Tpcs | — | 10 |
| Hand DOF | 16 | — |
| Hand Payload KG | 25 | — |
| Height CM | 168 | — |
| Launch Price USD | — | 3,499 |
| Memory (GB) | — | 128 |
| Memory bandwidth (GB/s) | — | 273 |
| Memory type | — | LPDDR5X 256-bit |
| Module | — | Jetson T5000 |
| MSRP (USD)↓ better | — | 5,499 |
| Power Range Watts | — | 40-130 |
| Rapid Charge Hours | 1.5 | — |
| Retirement Started | 2025-11-19 | — |
| RGB Cameras | 6 | — |
| Runtime Hours | 5 | — |
| Status Checked | 2026-09-24 | 2026-09-24 |
| Successor | Figure 03 | — |
| Successor BMW Project Announced | 2026-06-25 | — |
| Successor Introduced | 2025-10-09 | — |
| T5000 Module Price QTY | — | 1,000 |
| T5000 Module Price USD | — | 4,999 |
| Weight KG | 70 | — |