Side-by-side, with the numbers that matter.
Two rigs, one table. Higher numbers win in cobalt; TDP and price flip.
Rig A
NVIDIA GB200 NVL72
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
Rig B
NVIDIA H100
NVIDIA · 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
2 of 35 fields comparable
⇄ swap sidesNVIDIA GB200 NVL72NVIDIA H100
FP32 TFLOPS
5,760
67
FP64 TFLOPS
2,880
34
| Spec | NVIDIA GB200 NVL72 | NVIDIA H100 |
|---|---|---|
| FP32 TFLOPS | 5,760 | 67 |
| FP64 TFLOPS | 2,880 | 34 |
| BF16 TFLOPS (sparse) | — | 1,979 |
| Blackwell Gpus | 72 | — |
| Compute Trays | 18 | — |
| Cooling | liquid | — |
| CPU Memory Bandwidth TB S | 14 | — |
| CPU Memory Lpddr5x TB | 17 | — |
| Form factor | — | SXM |
| Fp16 Bf16 Pflops | 360 | — |
| FP16 TFLOPS (dense) | — | 989.5 |
| FP16 TFLOPS (sparse) | — | 1,979 |
| FP64 Tensor TFLOPS | — | 67 |
| FP8 FP6 Pflops | 720 | — |
| FP8 TFLOPS (dense) | — | 1,979 |
| FP8 TFLOPS (sparse) | — | 3,958 |
| GPU Memory Bandwidth TB S | 576 | — |
| Grace Cpus | 36 | — |
| HBM (GB) | — | 80 |
| Int8 Pops | 720 | — |
| INT8 TOPS (sparse) | — | 3,958 |
| Memory bandwidth (TB/s) | — | 3.35 |
| Memory type | — | HBM3 |
| Nvfp4 Pflops Dense | 720 | — |
| Nvfp4 Pflops Sparse | 1,440 | — |
| NVLink bandwidth (GB/s) | — | 900 |
| Nvlink Generation | 5 | — |
| Nvswitch Trays | 9 | — |
| Rack Power KW Approx | 120 | — |
| TDP max (W)↓ better | — | 700 |
| Tf32 Pflops | 180 | — |
| TF32 TFLOPS (sparse) | — | 989 |
| Total ARM Cores | 2,592 | — |
| Total Hbm3e TB | 13.4 | — |
| Total Nvlink Bandwidth TB S | 130 | — |