Side-by-side, with the numbers that matter.
Two rigs, one table. Higher numbers win in cobalt; TDP and price flip.
Rig A
Agility Robotics Digit
Agility Robotics · 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
AWS Trainium2
AWS · cloud-model
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 | Agility Robotics Digit | AWS Trainium2 |
|---|---|---|
| ARM DOF | 4 | — |
| Battery Runtime Hours | 4 | — |
| Bf16 Tflops PER Chip | — | 667 |
| Canonical Name | Agility Robotics Digit | — |
| Chips PER Trn2 Instance | — | 16 |
| Chips PER Ultraserver | — | 64 |
| Customer Facilities | 9 | — |
| Deployment Status | commercial | — |
| Digit5 Charge Minutes | 9 | — |
| Digit5 Early Access | H1 2027 | — |
| Digit5 Payload KG | 22.7 | — |
| Digit5 Payload LBS | 50 | — |
| Digit5 Runtime Minutes | 90 | — |
| Digit5 Unveiled | 2026-09-15 | — |
| Expected Ticker | AGLT | — |
| Form factor | humanoid | — |
| FP8 Dense Petaflops PER Chip | — | 1.3 |
| FP8 Sparse Petaflops PER Chip | — | 5.2 |
| HBM Bandwidth TB S PER Chip | — | 2.9 |
| HBM Capacity GB PER Chip | — | 96 |
| HBM Type | — | HBM3 |
| Height CM | 175 | — |
| Named Deployments | Schaeffler, GXO, Toyota Motor Manufacturing Canada, Mercado Libre | — |
| Neuroncores PER Chip | — | 8 |
| Onboard Compute | dual multi-core CPUs + optional third in payload bay | — |
| Operating Hours MIN | 65,000 | — |
| Payload KG | 16 | — |
| Payload LBS | 35 | — |
| Spac Announced | 2026-06-24 | — |
| Spac Expected Close | Q4 2026 | — |
| Spac Gross Proceeds USD Million MIN | 620 | — |
| Spac Partner | Churchill Capital Corp XI (Nasdaq CCXI) | — |
| Spac PRE Money Equity Value USD Billion | 2.5 | — |
| Status Checked | 2026-09-24 | — |
| Totes Milestone | 100,000 | — |
| Trainium3 GA | — | 2025-12-02 |
| Trainium3 HBM Bandwidth TB S | — | 4.9 |
| Trainium3 Hbm3e GB PER Chip | — | 144 |
| Trn2 Instance FP8 Petaflops | — | 20.8 |
| Trn2 Instance HBM TB | — | 1.5 |
| Trn3 Ultraserver FP8 Pflops | — | 362 |
| Trn3 Ultraserver MAX Chips | — | 144 |
| Ultraserver FP8 Petaflops | — | 83.2 |
| Ultraserver Total HBM Bandwidth TB S | — | 185 |
| Ultraserver Total HBM TB | — | 6 |
| Vendor | Agility Robotics | — |
| Weight KG | 65 | — |