Side-by-side, with the numbers that matter.
Two rigs, one table. Higher numbers win in cobalt; TDP and price flip.
Rig A
Alibaba Qwen3-72B-Instruct (Q4 quant)
Alibaba · cloud-model
Change
- 1X Neo
- Agility Robotics Digit
- Alibaba Qwen3-72B-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 Founders Edition
- 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 Core
- 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 Qwen3-72B-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 Founders Edition
- 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 Core
- SambaNova SN40L Reconfigurable Dataflow Unit
- Sanctuary AI Phoenix
- Tesla Optimus
- The Stargate Project
- Unitree B2
- Unitree G1
- Unitree H1
0 of 27 fields comparable
⇄ swap sides| Spec | Alibaba Qwen3-72B-Instruct (Q4 quant) | NVIDIA Jetson AGX Thor |
|---|---|---|
| Context Window Tokens K | 128 | — |
| 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 |
| Devkit Networking | — | 1x 5GbE RJ45 + 1x QSFP28 (4x 25GbE) |
| Devkit Storage | — | 1TB NVMe M.2 Key M |
| Dual Card Count | 2 | — |
| Dual Card Vram GB | 24 | — |
| FP4 Tflops Sparse | — | 2,070 |
| FP8 Tflops Sparse Unverified | — | 1,035 |
| GPT Version | 5 | — |
| GPU Arch | — | Blackwell, 5th-gen Tensor Cores |
| GPU MAX Freq GHZ | — | 1.57 |
| GPU Tpcs | — | 10 |
| Memory (GB) | — | 128 |
| Memory bandwidth (GB/s) | — | 273 |
| Memory type | — | LPDDR5X 256-bit |
| Module | — | Jetson T5000 |
| MSRP (USD)↓ better | — | 3,499 |
| Parameter Count B | 72 | — |
| Power Range Watts | — | 40-130 |
| Qwen Version | 3 | — |
| RTX 5090 Pairing Vram GB | 32 | — |
| Vram Required GB | 44 | — |