Huawei logo vs

Huawei Ascend 950DT vs NVIDIA B200 SXM 180GB

The B200 delivers 4.4x the FP8 throughput of the Ascend 950DT (4,500 vs 1,034 TFLOPS dense). The B200 also carries 36 GB more memory (180 GB vs 144 GB).

Ascend 950DT: Da Vinci v3, 2026 B200: Blackwell, 2024
FP8 dense lead
4.4x
B200: 4,500 vs 1,034 TFLOPS
Memory
144 vs 180 GB
36 GB more for the B200
Bandwidth
4.0 TB/s vs 7.7 TB/s
B200 moves data faster
See rental pricing from $0.99/hr Download comparison sheet

Share this page

Huawei Ascend 950DT vs NVIDIA B200 SXM 180GB

A post with this link shows the card on the Image tab as its preview.

Printable version →
Huawei logo

Huawei Ascend 950DT

Full specs →

What is the Huawei Ascend 950DT?

The Ascend 950DT is an NPU from Huawei on the Da Vinci v3 architecture, an accelerator built for AI inference. It is an OAM module, the open accelerator format used in multi-GPU servers. Ascend 950DT full specifications →

Can I rent the Ascend 950DT in the cloud?

Flopper is not tracking any live rental listings for the Ascend 950DT yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Ascend 950DT compare with other accelerators?

This page sets the Ascend 950DT against the B200. The Ascend 950DT is the newer generation of the two. This is a cross-vendor matchup, Huawei against NVIDIA; the Ascend 950DT is an OAM module while the B200 is an SXM module. The compare tool builds the same comparison for any two parts in the catalogue. All GPU comparisons →

Where do the Ascend 950DT figures come from?

Every Ascend 950DT figure on this page traces to Huawei's own datasheet or specification table. How Flopper verifies specifications →

NVIDIA B200 SXM 180GB

Leads on FP8 Full specs →

What is the NVIDIA B200?

The B200 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. B200 full specifications →

Can I rent the B200 in the cloud?

Yes. Cloud providers tracked by Flopper rent the B200 by the hour, and the pricing page compares their current rates and the price history side by side. B200 rental prices →

How does the B200 compare with other accelerators?

This page sets the B200 against the Ascend 950DT. The B200 is the older generation of the two. This is a cross-vendor matchup, NVIDIA against Huawei; the B200 is an SXM module while the Ascend 950DT is an OAM module. Flopper also compares it head to head with the A100 SXM4 80GB, B100 SXM 192GB and B300 SXM 262GB, across every published precision, memory and power. B200 vs A100 SXM4 80GB →

Where do the B200 figures come from?

Every B200 figure on this page traces to NVIDIA's own datasheet or specification table. How Flopper verifies specifications →

Specifications

Huawei logo
Ascend 950DT
B200
Architecture
Da Vinci v3Blackwell
Launch Year
20262024
Form Factor
OAMSXM
Memory
144 GB180 GB
Memory Bandwidth
4.0 TB/s7.7 TB/s
TDP
—1.0 kW
Process Node
—4nm

Performance (TFLOPS)

Huawei logo
Ascend 950DT
B200
No verified data available37 TFLOPS
30 TFLOPS 75 TFLOPS
273 TFLOPS 1,125 TFLOPS
2,250 TFLOPS sparse
547 TFLOPS 2,250 TFLOPS
4,500 TFLOPS sparse
547 TFLOPS 2,250 TFLOPS
4,500 TFLOPS sparse
1,034 TFLOPS 4,500 TFLOPS
9,000 TFLOPS sparse
FP6
No verified data available4,500 TFLOPS
9,000 TFLOPS sparse
2,007 TFLOPS 9,000 TFLOPS
18,000 TFLOPS sparse
1,034 TOPS 4,500 TOPS
9,000 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 Ascend 950DT is the newer part: Da Vinci v3 (2026) against the B200's Blackwell (2024).

The B200 carries 36 GB more memory (180 GB against 144 GB), so larger models fit on one GPU before you shard. Bandwidth is 4.0 TB/s against 7.7 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, FP4, INT8, Sparsity and TFLOPS. For how the generations relate, see NVIDIA architectures explained.

Frequently asked questions

Is the Ascend 950DT faster than the B200?

At FP8 precision the B200 reaches 4,500 TFLOPS dense against 1,034 TFLOPS for the Ascend 950DT. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the Ascend 950DT or the B200?

Choose the B200 for training and high-throughput inference: it has 4.4x the FP8 throughput of the Ascend 950DT. It also carries 36 GB more memory, so larger models fit on one GPU before you shard. Packaging differs too: the Ascend 950DT is an OAM module while the B200 is an SXM module, so check what your servers accept.

Which has more memory, the Ascend 950DT or the B200?

The B200 carries 180 GB of memory versus 144 GB for the Ascend 950DT. Memory bandwidth is 4.0 TB/s for the Ascend 950DT and 7.7 TB/s for the B200.

How much do the Ascend 950DT and the B200 cost to rent?

Live cloud listings tracked by Flopper price no live listings yet for the Ascend 950DT, and the B200 from $0.99 per GPU-hour across 24 providers. The rental section on this page links to every provider, rate and the price history for each GPU.

Where to Rent

Huawei logo

Huawei Ascend 950DT

No live rental listings tracked for the Ascend 950DT yet.

Browse GPU cloud providers

NVIDIA B200 SXM 180GB

Rent from

$0.99 / GPU-hr

Lowest of 36 live listings across 24 providers · median $6.69

See all B200 rental prices →

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

Get Comparison Updates

New GPUs added weekly. Be the first to see how they compare.

© 2026 Flopper.io - Compare the GPUs Powering AI