Rack & Pod Scale
AI GPU Platforms
Enterprise AI runs on systems that combine many GPUs into a single product. Compare the rack-scale and pod-scale configurations that power today's frontier AI models. See their average FLOPS, power draw, and bandwidth side by side, and understand the machines behind world-class AI training and inference.
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Available Systems
| Compare | |||
|---|---|---|---|
![]() | 2.00 EF FP4 | View → | |
NVIDIA
Groq 3 LPX rack | 307 PF FP8 | View → | |
AMD
Helios rack | 2,899 PF FP4 | View → | |
Google
TPU 8i Pod pod | 10.3 EF FP4 | View → | |
Google
TPU 8t Superpod pod | 121 EF FP4 | View → | |
NVIDIA
Vera Rubin NVL72 rack | 2,520 PF NVFP4 | View → | |
![]() | 614 POPS INT8 | View → | |
NVIDIA
DGX GB300 NVL72 rack | 1,080 PF FP4 | View → | |
NVIDIA
DGX SuperPOD GB200 pod | 23.0 EF FP4 | View → | |
NVIDIA
GB200 NVL32 rack | 320 PF FP4 | View → | |
NVIDIA
GB200 NVL36 | 360 PF FP4 | View → | |
NVIDIA
GB200 NVL576 | 5.76 EF FP4 | View → | |
NVIDIA
GB200 NVL72 rack | 720 PF FP4 | View → | |
NVIDIA
GB300 NVL72 rack | — | View → | |
Google
TPU7x (Ironwood) Pod pod | 42.5 EF FP8 | View → | |
![]() | 362 PF FP8 | View → | |
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![]() | 20.8 PF FP8 | View → | |
Google
TPU v6e Pod pod | 470 POPS INT8 | View → | |
![]() | 83.2 PF FP8 | View → | |
Google
TPU v5e Pod pod | 101 POPS INT8 | View → | |
Google
TPU v5p Pod pod | 4.11 EF BF16 | View → | |
Google
TPU v4 Pod pod | 1.13 EF BF16 | View → | |
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EF | — | View → | |
EF | — | View → | |
![]() | 614 POPS INT4 | View → | |
![]() | 23.0 PF FP8 | View → | |
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![]() | 524 PF FP8 | View → | |
![]() | 65.5 PF FP8 | View → | |
![]() | 10.2 PF BF16 | View → | |
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