Jake Tech Lab

NVIDIA H100 vs NVIDIA B300

NVIDIA B300 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 B300Winner
NVIDIA B300
6.6
Fair
6 of 8 rounds

The verdict

NVIDIA B300 takes it, 6–2 on rounds.

On the published figures, NVIDIA B300 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 B300 if…

  • • You want NVIDIA B300's edge on how much memory it has and how fast its memory is

Round by round

  1. Round 1How much memory it hasNVIDIA B300 wins
    NVIDIA H1005/10

    80 GB HBM3

    gpu memory

    • 80 GB HBM3, against 270 GB HBM3E

    Source: nvidia.com ↗

    NVIDIA B3008/10

    270 GB HBM3E

    gpu memory

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

    NVIDIA B300 wins this round on what the company itself publishes.

  2. Round 2How fast its memory isNVIDIA B300 wins
    NVIDIA H1005/10

    3.35 TB/s

    memory bandwidth

    • 3.35 TB/s, against 7.7 TB/s

    Source: nvidia.com ↗

    NVIDIA B3008/10

    7.7 TB/s

    memory bandwidth

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

    NVIDIA B300 wins this round on what the company itself publishes.

  3. Round 3How fast it runs FP8 AI mathNVIDIA B300 wins
    NVIDIA H1005/10

    3,958 TFLOPS

    fp8 tensor core, with sparsity

    • 3,958 TFLOPS, against 9 PFLOPS

    Source: nvidia.com ↗

    NVIDIA B3008/10

    9 PFLOPS

    fp8/fp6 tensor core, with sparsity

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

    NVIDIA B300 wins this round on what the company itself publishes.

  4. Round 4How fast it runs FP16 AI mathNVIDIA B300 wins
    NVIDIA H1005/10

    1,979 TFLOPS

    fp16 tensor core, with sparsity

    • 1,979 TFLOPS, against 4.5 PFLOPS

    Source: nvidia.com ↗

    NVIDIA B3008/10

    4.5 PFLOPS

    fp16/bf16 tensor core, with sparsity

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

    NVIDIA B300 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 B3005/10

    1,100 W

    max tdp

    • 1,100 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 B300 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 B3008/10

    1.8 TB/s NVLink

    nvlink gpu-to-gpu

    Source: nvidia.com ↗

    NVIDIA B300 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 B3005/10

    1.2 TFLOPS

    fp64/fp64 tensor core

    • 1.2 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 B300 wins
    NVIDIA H1005/10

    HBM3

    memory type

    • HBM3, against HBM3E

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

    NVIDIA B3008/10

    HBM3E

    memory type

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

    NVIDIA B300 wins this round on what the company itself publishes.

NVIDIA H100NVIDIA H100
NVIDIA B300NVIDIA B300

Side by side

Overall score
6.0
6.6
Best
Price
See price
See price
How fast its memory is
5.7
6.3
How much memory it has
5.4
7.3
How much power it draws
7.1
6.5
How fast it runs FP16 AI math
5.9
6.5
How new it is
5.4
8.0
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
270 GB HBM3E
How much power it draws
700 W
1,100 W
How fast it runs FP16 AI math
989 TFLOPS
4.5 PFLOPS
How new it is
2022
2025
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
1.2 TFLOPS
Record
Head-to-head record
2–7
1–2–1
Head-to-heads won
22 %
33 %
Rounds won
31 %
46 %
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
      • 270 GB HBM3E, against 288 GB HBM3E
      • 7.7 TB/s, against 8 TB/s
      • 1.2 TFLOPS, against 78.6 TFLOPs
      • 9 PFLOPS, against 10 PFLOPS
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