Jake Tech Lab

NVIDIA H200 vs NVIDIA GB200

NVIDIA GB200 comes out ahead of NVIDIA H200 on 6 of the 8 things that decide this, going by what each maker publishes. The one that matters for you may be one the leader loses.

NVIDIA H200
NVIDIA H200
6.5
Fair
2 of 8 rounds
vs
NVIDIA GB200Winner
NVIDIA GB200
7.0
Good
6 of 8 rounds

The verdict

NVIDIA GB200 takes it, 6–2 on rounds.

On the published figures, NVIDIA GB200 takes 6 of 8 rounds. Treat that as a starting point and check the current figures on both pages, because prices and plans move.

Choose NVIDIA H200 if…

  • • You want NVIDIA H200's edge on how much power it draws and how it handles scientific fp64 math

Choose NVIDIA GB200 if…

  • • You want NVIDIA GB200's edge on how much memory it has and how fast its memory is

Round by round

  1. Round 1How much memory it hasNVIDIA GB200 wins
    NVIDIA H2005/10

    141 GB HBM3e

    gpu memory

    • 141 GB HBM3e, against 186 GB HBM3E

    Source: nvidia.com ↗

    NVIDIA GB2008/10

    186 GB HBM3E

    gpu memory

    Source: dam-cdn.nvd.orangelogic.com ↗

    NVIDIA GB200 wins this round on what the company itself publishes.

  2. Round 2How fast its memory isNVIDIA GB200 wins
    NVIDIA H2005/10

    4.8 TB/s

    memory bandwidth

    • 4.8 TB/s, against 8 TB/s

    Source: nvidia.com ↗

    NVIDIA GB2008/10

    8 TB/s

    memory bandwidth

    Source: dam-cdn.nvd.orangelogic.com ↗

    NVIDIA GB200 wins this round on what the company itself publishes.

  3. Round 3How fast it runs FP8 AI mathNVIDIA GB200 wins
    NVIDIA H2005/10

    3,958 TFLOPS

    fp8 tensor core, with sparsity

    • 3,958 TFLOPS, against 10 PFLOPS

    Source: nvidia.com ↗

    NVIDIA GB2008/10

    10 PFLOPS

    fp8/fp6 tensor core, with sparsity

    Source: dam-cdn.nvd.orangelogic.com ↗

    NVIDIA GB200 wins this round on what the company itself publishes.

  4. Round 4How fast it runs FP16 AI mathNVIDIA GB200 wins
    NVIDIA H2005/10

    1,979 TFLOPS

    fp16 tensor core, with sparsity

    • 1,979 TFLOPS, against 5 PFLOPS

    Source: nvidia.com ↗

    NVIDIA GB2008/10

    5 PFLOPS

    fp16/bf16 tensor core, with sparsity

    Source: dam-cdn.nvd.orangelogic.com ↗

    NVIDIA GB200 wins this round on what the company itself publishes.

  5. Round 5How much power it drawsNVIDIA H200 wins
    NVIDIA H2008/10

    700 W

    max tdp

    Source: nvidia.com ↗

    NVIDIA GB2005/10

    1,200 W

    max tdp

    • 1,200 W, against 700 W

    Source: dam-cdn.nvd.orangelogic.com ↗

    NVIDIA H200 wins this round on what the company itself publishes.

  6. Round 6How fast chips talk to each otherNVIDIA GB200 wins
    NVIDIA H2005/10

    900 GB/s NVLink

    nvlink gpu-to-gpu

    • 900 GB/s NVLink, against 1.8 TB/s NVLink

    Source: nvidia.com ↗

    NVIDIA GB2008/10

    1.8 TB/s NVLink

    nvlink gpu-to-gpu

    Source: dam-cdn.nvd.orangelogic.com ↗

    NVIDIA GB200 wins this round on what the company itself publishes.

  7. Round 7How it handles scientific FP64 mathNVIDIA H200 wins
    NVIDIA H2008/10

    67 TFLOPS

    fp64 tensor core

    Source: nvidia.com ↗

    NVIDIA GB2005/10

    40 TFLOPS

    fp64/fp64 tensor core

    • 40 TFLOPS, against 67 TFLOPS

    Source: dam-cdn.nvd.orangelogic.com ↗

    NVIDIA H200 wins this round on what the company itself publishes.

  8. Round 8How new it isNVIDIA GB200 wins
    NVIDIA H2005/10

    2023

    year announced

    • 2023, against 2024

    Source: nvidianews.nvidia.com ↗

    NVIDIA GB2008/10

    2024

    year announced

    Source: nvidianews.nvidia.com ↗

    NVIDIA GB200 wins this round on what the company itself publishes.

NVIDIA H200NVIDIA H200
NVIDIA GB200NVIDIA GB200

Side by side

Overall score
6.5
7.0
Best
Price
See price
See price
How fast its memory is
6.0
7.8
How much memory it has
6.0
6.5
How much power it draws
7.4
5.8
How fast it runs FP16 AI math
6.3
8.0
How new it is
6.3
6.0
Head-to-head findings
How fast its memory is
4.8 TB/s
8 TB/s
How much memory it has
141 GB HBM3e
186 GB HBM3E
How much power it draws
700 W
1,200 W
How fast it runs FP16 AI math
1,979 TFLOPS
5 PFLOPS
How new it is
2023
2024
Which memory generation it uses
HBM3e
HBM3E
How fast it runs FP8 AI math
3,958 TFLOPS
10 PFLOPS
How it handles scientific FP64 math
67 TFLOPS
40 TFLOPS
Record
Head-to-head record
2–4
3–1
Head-to-heads won
33 %
75 %
Rounds won
43 %
62 %
Pros
      Cons
      • 141 GB HBM3e, against 186 GB HBM3E
      • 4.8 TB/s, against 8 TB/s
      • 3,958 TFLOPS, against 10 PFLOPS
      • 1,979 TFLOPS, against 5 PFLOPS
      • 1,200 W, against 700 W
      • 40 TFLOPS, against 67 TFLOPS
      • 186 GB HBM3E, against 288 GB HBM3E
      • 40 TFLOPS, against 78.6 TFLOPs
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