Side-by-side, with the numbers that matter.
Two rigs, one table. Higher numbers win in cobalt; TDP and price flip.
Rig A
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
Rig B
AMD Instinct MI325X
AMD · accelerator
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 38 fields comparable
⇄ swap sides| Spec | NVIDIA Jetson AGX Thor | AMD Instinct MI325X |
|---|---|---|
| Bf16 Matrix Tflops Dense | — | 1,307.4 |
| Compute Units | — | 304 |
| 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 | — |
| Form factor | — | OAM |
| Fp16 Matrix Tflops Dense | — | 1,307.4 |
| Fp32 Vector Tflops | — | 163.4 |
| FP4 Tflops Sparse | 2,070 | — |
| Fp64 Matrix Tflops | — | 163.4 |
| FP8 Matrix Tflops Dense | — | 2,614.9 |
| FP8 Matrix Tflops Sparse | — | 5,229.8 |
| FP8 Tflops Sparse Unverified | 1,035 | — |
| GPU Arch | Blackwell, 5th-gen Tensor Cores | — |
| GPU MAX Freq GHZ | 1.57 | — |
| GPU Tpcs | 10 | — |
| HBM (GB) | — | 256 |
| HBM Type | — | HBM3E |
| INT8 TOPS (dense) | — | 2,614.9 |
| Launch Price USD | 3,499 | — |
| Memory (GB) | 128 | — |
| Memory bandwidth (GB/s) | 273 | — |
| Memory bandwidth (TB/s) | — | 6 |
| Memory type | LPDDR5X 256-bit | — |
| Module | Jetson T5000 | — |
| MSRP (USD)↓ better | 5,499 | — |
| Pcie GEN | — | 5 |
| Power Range Watts | 40-130 | — |
| Status Checked | 2026-09-24 | — |
| T5000 Module Price QTY | 1,000 | — |
| T5000 Module Price USD | 4,999 | — |
| TBP Watts | — | 1,000 |
| Tf32 Matrix Tflops Dense | — | 653.7 |