Side-by-side, with the numbers that matter.
Two rigs, one table. Higher numbers win in cobalt; TDP and price flip.
Rig A
Apple MacBook Pro 16-inch, M4 Max (2024)
Apple · mac
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
0 of 39 fields comparable
⇄ swap sides| Spec | Apple MacBook Pro 16-inch, M4 Max (2024) | NVIDIA H100 |
|---|---|---|
| BF16 TFLOPS (sparse) | — | 1,979 |
| Chip | Apple M4 Max | — |
| CPU Cores Options | 14, 16 | — |
| CPU Efficiency Cores | 4 | — |
| CPU Perf Cores 14core | 10 | — |
| CPU Perf Cores 16core | 12 | — |
| Display Brightness Nits HDR Peak | 1,600 | — |
| Display PPI | 254 | — |
| Display Resolution H | 2,234 | — |
| Display Resolution W | 3,456 | — |
| Display Size IN | 16.2 | — |
| Form factor | — | SXM |
| FP16 TFLOPS (dense) | — | 989.5 |
| FP16 TFLOPS (sparse) | — | 1,979 |
| FP32 TFLOPS | — | 67 |
| FP64 Tensor TFLOPS | — | 67 |
| FP64 TFLOPS | — | 34 |
| FP8 TFLOPS (dense) | — | 1,979 |
| FP8 TFLOPS (sparse) | — | 3,958 |
| GPU Cores Options | 32, 40 | — |
| HBM (GB) | — | 80 |
| INT8 TOPS (sparse) | — | 3,958 |
| Memory bandwidth (TB/s) | — | 3.35 |
| Memory Bandwidth GB S 14core | 410 | — |
| Memory Bandwidth GB S 16core | 546 | — |
| Memory type | — | HBM3 |
| MSRP (USD)↓ better | 3,499 | — |
| Neural Engine Cores | 16 | — |
| NVLink bandwidth (GB/s) | — | 900 |
| SSD TB Options | 1, 2, 4, 8 | — |
| Successor | MacBook Pro with M5 Pro / M5 Max | — |
| Successor 16in M5 MAX Price USD | 3,899 | — |
| Successor 16in M5 PRO Price USD | 2,699 | — |
| Successor M5 MAX Bandwidth GB S | 614 | — |
| Successor M5 MAX Memory MAX GB | 128 | — |
| Superseded ON | 2026-03-03 | — |
| TDP max (W)↓ better | — | 700 |
| TF32 TFLOPS (sparse) | — | 989 |
| Unified Memory GB Options | 36, 48, 64, 128 | — |