NVIDIA B100 SXM 192GB vs NVIDIA Jetson AGX Thor T5000 128GB

The B100 delivers 6.8x the FP8 throughput of the Jetson AGX Thor (3,500 vs 517 TFLOPS dense). The B100 also carries 64 GB more memory (192 GB vs 128 GB).

B100: Blackwell, 2024 Jetson AGX Thor: Blackwell, 2025
FP8 dense lead
6.8x
B100: 3,500 vs 517 TFLOPS
Memory
192 vs 128 GB
64 GB more for the B100
Bandwidth
8.0 TB/s vs 273 GB/s
B100 moves data faster
TDP
700 W vs 130 W
Jetson AGX Thor draws 570 W less
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NVIDIA B100 SXM 192GB vs NVIDIA Jetson AGX Thor T5000 128GB

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NVIDIA B100 SXM 192GB

Leads on FP8 Full specs →

What is the NVIDIA B100?

The B100 is a GPU from NVIDIA on the Blackwell 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. B100 full specifications →

Can I rent the B100 in the cloud?

Flopper is not tracking any live rental listings for the B100 yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the B100 compare with other accelerators?

This page sets the B100 against the Jetson AGX Thor. The B100 is the older generation of the two. Both are NVIDIA parts; the B100 is an SXM module while the Jetson AGX Thor is an embedded module. Flopper also compares it head to head with the B200 SXM 180GB, across every published precision, memory and power. B100 vs B200 SXM 180GB →

Where do the B100 figures come from?

NVIDIA published the B100 figures in marketing material rather than a datasheet, and Flopper has no independent confirmation of them. How Flopper verifies specifications →

NVIDIA Jetson AGX Thor T5000 128GB

Full specs →

What is the NVIDIA Jetson AGX Thor?

The Jetson AGX Thor is a GPU from NVIDIA on the Blackwell architecture, an accelerator for AI training, inference and high-performance computing. It is a module for embedded and edge systems rather than a card. Jetson AGX Thor full specifications →

Can I rent the Jetson AGX Thor in the cloud?

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

How does the Jetson AGX Thor compare with other accelerators?

This page sets the Jetson AGX Thor against the B100. The Jetson AGX Thor is the newer generation of the two. Both are NVIDIA parts; the Jetson AGX Thor is an embedded module while the B100 is an SXM module. Flopper also compares it head to head with the Jetson AGX Thor T4000 64GB, Jetson AGX Orin 64GB and DGX Spark, across every published precision, memory and power. Jetson AGX Thor vs Jetson AGX Thor T4000 64GB →

Where do the Jetson AGX Thor figures come from?

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

Specifications

B100
Jetson AGX Thor
Architecture
BlackwellBlackwell
Launch Year
20242025
Form Factor
SXMModule
Memory
192 GB128 GB
Memory Bandwidth
8.0 TB/s273 GB/s
TDP
700 W130 W
Process Node
4nm—

Performance (TFLOPS)

B100
Jetson AGX Thor
30 TFLOPS No verified data available
60 TFLOPS 8.1 TFLOPS
875 TFLOPS
sparse not published
No verified data available
1,750 TFLOPS
sparse not published
No verified data available
1,750 TFLOPS
sparse not published
No verified data available
3,500 TFLOPS
sparse not published
517 TFLOPS
1,035 TFLOPS sparse
FP6
No verified data available No verified data available
7,000 TFLOPS
sparse not published
1,035 TFLOPS
2,070 TFLOPS sparse
3,500 TOPS
sparse not published
517 TOPS
1,035 TOPS sparse

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 Jetson AGX Thor is the newer part: Blackwell (2025) against the B100's Blackwell (2024).

The B100 carries 64 GB more memory (192 GB against 128 GB), so larger models fit on one GPU before you shard. Bandwidth is 8.0 TB/s against 273 GB/s, which sets the ceiling on decode speed.

Power is 700 W against 130 W, and at FP32 the B100 does more work per watt. 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, FP4, INT8, Sparsity and TFLOPS. For how the generations relate, see NVIDIA architectures explained.

Frequently asked questions

Is the B100 faster than the Jetson AGX Thor?

At FP8 precision the B100 reaches 3,500 TFLOPS dense against 517 TFLOPS for the Jetson AGX Thor. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the B100 or the Jetson AGX Thor?

Choose the B100 for training and high-throughput inference: it has 6.8x the FP8 throughput of the Jetson AGX Thor. It also carries 64 GB more memory, so larger models fit on one GPU before you shard. The B100 draws 570 W more power, so budget for cooling and power delivery before you commit. Packaging differs too: the B100 is an SXM module while the Jetson AGX Thor is an embedded module, so check what your servers accept.

Which has more memory, the B100 or the Jetson AGX Thor?

The B100 carries 192 GB of memory versus 128 GB for the Jetson AGX Thor. Memory bandwidth is 8.0 TB/s for the B100 and 273 GB/s for the Jetson AGX Thor.

How much power do the B100 and the Jetson AGX Thor draw?

The B100 is rated at 700 W TDP and the Jetson AGX Thor at 130 W. On FP32 throughput per watt, the B100 is the more efficient part.

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