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Google TPU v6e 32GB vs NVIDIA H100 SXM5 80GB

The H100 delivers 8% more BF16 throughput than the TPU v6e (990 vs 918 TFLOPS dense). The H100 also carries 48 GB more memory (80 GB vs 32 GB).

TPU v6e: TPU, 2024 H100: Hopper, 2022
BF16 dense lead
+8%
H100: 990 vs 918 TFLOPS
Memory
32 vs 80 GB
48 GB more for the H100
Bandwidth
1.6 TB/s vs 3.4 TB/s
H100 moves data faster
See rental pricing from $0.79/hr Download comparison sheet

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Google TPU v6e 32GB vs NVIDIA H100 SXM5 80GB

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Google TPU v6e 32GB

Full specs →

What is the Google TPU v6e?

The TPU v6e is a TPU from Google on the TPU architecture, an accelerator built for AI training and inference. TPU v6e full specifications →

Can I rent the TPU v6e in the cloud?

Flopper is not tracking any live rental listings for the TPU v6e yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the TPU v6e compare with other accelerators?

This page sets the TPU v6e against the H100. The TPU v6e is the newer generation of the two. This is a cross-vendor matchup, Google against NVIDIA. The compare tool builds the same comparison for any two parts in the catalogue. All GPU comparisons →

Where do the TPU v6e figures come from?

Every TPU v6e figure on this page traces to Google's own datasheet or specification table. How Flopper verifies specifications →

NVIDIA H100 SXM5 80GB

Leads on BF16 Full specs →

What is the NVIDIA H100?

The H100 is a GPU from NVIDIA on the Hopper architecture, an accelerator for AI training, inference and high-performance computing. It is an SXM module, the mezzanine format used in dense multi-GPU servers. H100 full specifications →

Can I rent the H100 in the cloud?

Yes. Cloud providers tracked by Flopper rent the H100 by the hour, and the pricing page compares their current rates and the price history side by side. H100 rental prices →

How does the H100 compare with other accelerators?

This page sets the H100 against the TPU v6e. The H100 is the older generation of the two. This is a cross-vendor matchup, NVIDIA against Google. Flopper also compares it head to head with the A100 SXM4 80GB, H200 SXM 141GB and Instinct MI300X 192GB, across every published precision, memory and power. H100 vs A100 SXM4 80GB →

Where do the H100 figures come from?

Every H100 figure on this page traces to NVIDIA's own datasheet or specification table. How Flopper verifies specifications →

Specifications

TPU v6e
H100
Architecture
TPUHopper
Launch Year
20242022
Form Factor
—SXM
Memory
32 GB80 GB
Memory Bandwidth
1.6 TB/s3.4 TB/s
TDP
—700 W
Process Node
—4nm

Performance (TFLOPS)

TPU v6e
H100
No verified data available34 TFLOPS
No verified data available67 TFLOPS
No verified data available494 TFLOPS
989 TFLOPS sparse
918 TFLOPS 990 TFLOPS
1,979 TFLOPS sparse
No verified data available990 TFLOPS
1,979 TFLOPS sparse
No verified data available1,979 TFLOPS
3,958 TFLOPS sparse
FP6
No verified data available No verified data available
No verified data available No verified data available
1,836 TOPS 1,979 TOPS
3,958 TOPS sparse
Tensor Core
No verified data available67 TFLOPS

Figures are dense. Where a vendor publishes a figure it sits under the dense one and never decides a winner. Hover any precision for its definition, or read the GPU glossary.

FLOPS by Precision

What actually differs

The TPU v6e is the newer part: TPU (2024) against the H100's Hopper (2022).

The H100 carries 48 GB more memory (80 GB against 32 GB), so larger models fit on one GPU before you shard. Bandwidth is 1.6 TB/s against 3.4 TB/s, which sets the ceiling on decode speed.

Weight the FP8 and FP16 rows for LLM work and the FP64 row for HPC.

New to the terms? The glossary explains FP64, FP32, TF32, BF16, FP16, FP8, INT8, Sparsity and TFLOPS. For how the generations relate, see NVIDIA architectures explained.

Frequently asked questions

Is the TPU v6e faster than the H100?

At BF16 precision the H100 reaches 990 TFLOPS dense against 918 TFLOPS for the TPU v6e. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the TPU v6e or the H100?

Choose the H100 for training and high-throughput inference: it has 8% more BF16 throughput than the TPU v6e. It also carries 48 GB more memory, so larger models fit on one GPU before you shard.

Which has more memory, the TPU v6e or the H100?

The H100 carries 80 GB of memory versus 32 GB for the TPU v6e. Memory bandwidth is 1.6 TB/s for the TPU v6e and 3.4 TB/s for the H100.

How much do the TPU v6e and the H100 cost to rent?

Live cloud listings tracked by Flopper price no live listings yet for the TPU v6e, and the H100 from $0.79 per GPU-hour across 32 providers. The rental section on this page links to every provider, rate and the price history for each GPU.

Where to Rent

Google TPU v6e 32GB

No live rental listings tracked for the TPU v6e yet.

Browse GPU cloud providers

NVIDIA H100 SXM5 80GB

Rent from

$0.79 / GPU-hr

Lowest of 68 live listings across 32 providers · median $3.64

See all H100 rental prices →

Price history and every provider on the pricing page. Some links are affiliate links.

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