Jake Tech Lab

NVIDIA H100 vs NVIDIA B200

NVIDIA B200 comes out ahead of NVIDIA H100 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 H100
NVIDIA H100
6.0
Fair
2 of 8 rounds
vs
NVIDIA B200Winner
NVIDIA B200
6.7
Fair
6 of 8 rounds

The verdict

NVIDIA B200 takes it, 6–2 on rounds.

On the published figures, NVIDIA B200 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 H100 if…

  • • You want NVIDIA H100's edge on how much power it draws and how it handles scientific fp64 math

Choose NVIDIA B200 if…

  • • You want NVIDIA B200's edge on how much memory it has and how fast its memory is

Round by round

  1. Round 1How much memory it hasNVIDIA B200 wins
    NVIDIA H1005/10

    80 GB HBM3

    gpu memory

    • 80 GB HBM3, against 180 GB HBM3E

    Source: nvidia.com ↗

    NVIDIA B2008/10

    180 GB HBM3E

    gpu memory

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

    NVIDIA B200 wins this round on what the company itself publishes.

  2. Round 2How fast its memory isNVIDIA B200 wins
    NVIDIA H1005/10

    3.35 TB/s

    memory bandwidth

    • 3.35 TB/s, against 7.7 TB/s

    Source: nvidia.com ↗

    NVIDIA B2008/10

    7.7 TB/s

    memory bandwidth

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

    NVIDIA B200 wins this round on what the company itself publishes.

  3. Round 3How fast it runs FP8 AI mathNVIDIA B200 wins
    NVIDIA H1005/10

    3,958 TFLOPS

    fp8 tensor core, with sparsity

    • 3,958 TFLOPS, against 9 PFLOPS

    Source: nvidia.com ↗

    NVIDIA B2008/10

    9 PFLOPS

    fp8/fp6 tensor core, with sparsity

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

    NVIDIA B200 wins this round on what the company itself publishes.

  4. Round 4How fast it runs FP16 AI mathNVIDIA B200 wins
    NVIDIA H1005/10

    1,979 TFLOPS

    fp16 tensor core, with sparsity

    • 1,979 TFLOPS, against 4.5 PFLOPS

    Source: nvidia.com ↗

    NVIDIA B2008/10

    4.5 PFLOPS

    fp16/bf16 tensor core, with sparsity

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

    NVIDIA B200 wins this round on what the company itself publishes.

  5. Round 5How much power it drawsNVIDIA H100 wins
    NVIDIA H1008/10

    700 W

    max tdp

    Source: nvidia.com ↗

    NVIDIA B2005/10

    1,000 W

    max tdp

    • 1,000 W, against 700 W

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

    NVIDIA H100 wins this round on what the company itself publishes.

  6. Round 6How fast chips talk to each otherNVIDIA B200 wins
    NVIDIA H1005/10

    900 GB/s NVLink

    nvlink gpu-to-gpu

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

    Source: nvidia.com ↗

    NVIDIA B2008/10

    1.8 TB/s NVLink

    nvlink gpu-to-gpu

    Source: nvidia.com ↗

    NVIDIA B200 wins this round on what the company itself publishes.

  7. Round 7How it handles scientific FP64 mathNVIDIA H100 wins
    NVIDIA H1008/10

    67 TFLOPS

    fp64 tensor core

    Source: nvidia.com ↗

    NVIDIA B2005/10

    37 TFLOPS

    fp64/fp64 tensor core

    • 37 TFLOPS, against 67 TFLOPS

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

    NVIDIA H100 wins this round on what the company itself publishes.

  8. Round 8Which memory generation it usesNVIDIA B200 wins
    NVIDIA H1005/10

    HBM3

    memory type

    • HBM3, against HBM3E

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

    NVIDIA B2008/10

    HBM3E

    memory type

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

    NVIDIA B200 wins this round on what the company itself publishes.

NVIDIA H100NVIDIA H100
NVIDIA B200NVIDIA B200

Side by side

Overall score
6.0
6.7
Best
Price
See price
See price
How fast its memory is
5.7
6.8
How much memory it has
5.4
6.5
How much power it draws
7.1
6.5
How fast it runs FP16 AI math
5.9
7.3
How new it is
5.4
6.5
Head-to-head findings
How fast its memory is
3.35 TB/s
7.7 TB/s
How much memory it has
80 GB HBM3
180 GB HBM3E
How much power it draws
700 W
1,000 W
How fast it runs FP16 AI math
989 TFLOPS
4.5 PFLOPS
How new it is
2022
2024
Which memory generation it uses
HBM3
HBM3E
How fast it runs FP8 AI math
1,979 TFLOPS
9 PFLOPS
How it handles scientific FP64 math
67 TFLOPS
37 TFLOPS
Record
Head-to-head record
2–7
3–2–1
Head-to-heads won
22 %
60 %
Rounds won
31 %
53 %
Pros
      Cons
      • 80 GB HBM3, against 288 GB HBM3E
      • 3.35 TB/s, against 8 TB/s
      • 1,979 TFLOPS, against 5 PFLOPs
      • 989 TFLOPS, against 2.5 PFLOPs
      • 180 GB HBM3E, against 288 GB HBM3E
      • 7.7 TB/s, against 8 TB/s
      • 37 TFLOPS, against 78.6 TFLOPs
      • 2024, against 6/12/2025
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