Side-by-side, with the numbers that matter.
Two rigs, one table. Higher numbers win in cobalt; TDP and price flip.
Rig A
Alibaba Qwen2.5-72B-Instruct (Q4 quant)
Alibaba · 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
Rig B
NVIDIA DGX H200
NVIDIA · workstation
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 28 fields comparable
⇄ swap sides| Spec | Alibaba Qwen2.5-72B-Instruct (Q4 quant) | NVIDIA DGX H200 |
|---|---|---|
| Context Window Tokens K | 128 | — |
| CPU | — | 2x Intel Xeon Platinum 8480C |
| CPU Cores Total | — | 112 |
| Dual Card Count | 2 | — |
| Dual Card Vram GB | 24 | — |
| FP8 Petaflops | — | 32 |
| GPT Version | 5 | — |
| GPU Count | — | 8 |
| GPU Model | — | H200 SXM |
| Internal Storage | — | 8x 3.84TB NVMe U.2 |
| MAX Power KW | — | 10.2 |
| Network MAX Gbps PER Port | — | 400 |
| Network Peak TB S | — | 1 |
| Network Ports | — | 8x ConnectX-7 single-port (4x OSFP) |
| Nvlink PER GPU Bandwidth GB S | — | 900 |
| Nvswitch Bandwidth TB S | — | 7.2 |
| Nvswitch Count | — | 4 |
| OS Storage | — | 2x 1.92TB NVMe M.2 |
| Parameter Count B | 72 | — |
| Qwen Version | 3 | — |
| Qwen25 72B Instruct | Qwen2.5-72B-Instruct | — |
| Qwen25 Version | 2.5 | — |
| Qwen3 Largest Dense Checkpoint B | 32 | — |
| RTX 5090 Pairing Vram GB | 32 | — |
| Status Checked | 2026-09-24 | — |
| System Memory TB | — | 2 |
| Total GPU Memory GB | — | 1,128 |
| Vram Required GB | 44 | — |