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Huawei Ascend 970 vs NVIDIA B200 SXM 180GB

The B200 delivers 13% more FP8 throughput than the Ascend 970 (4,500 vs 4,000 TFLOPS dense). The Ascend 970 counters with 108 GB more memory (288 GB vs 180 GB).

Ascend 970: Da Vinci v5, 2028 B200: Blackwell, 2024
FP8 dense lead
+13%
B200: 4,500 vs 4,000 TFLOPS
Memory
288 vs 180 GB
108 GB more for the Ascend 970
Bandwidth
14.4 TB/s vs 7.7 TB/s
Ascend 970 moves data faster
See rental pricing from $0.99/hr Download comparison sheet

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Huawei Ascend 970 vs NVIDIA B200 SXM 180GB

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Huawei Ascend 970

Full specs →

What is the Huawei Ascend 970?

The Ascend 970 is an NPU from Huawei on the Da Vinci v5 architecture, an accelerator built for AI inference. It is an OAM module, the open accelerator format used in multi-GPU servers. It has been announced but is not yet shipping. Ascend 970 full specifications →

Can I rent the Ascend 970 in the cloud?

Flopper is not tracking any live rental listings for the Ascend 970 yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Ascend 970 compare with other accelerators?

This page sets the Ascend 970 against the B200. The Ascend 970 is the newer generation of the two. This is a cross-vendor matchup, Huawei against NVIDIA; the Ascend 970 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 970 figures come from?

Huawei published the Ascend 970 figures in marketing material rather than a datasheet, and Flopper has no independent confirmation of them. 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 970. 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 970 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 970
B200
Architecture
Da Vinci v5Blackwell
Launch Year
20282024
Form Factor
OAMSXM
Memory
288 GB180 GB
Memory Bandwidth
14.4 TB/s7.7 TB/s
TDP
—1.0 kW
Process Node
—4nm

Performance (TFLOPS)

Huawei logo
Ascend 970
B200
No verified data available37 TFLOPS
No verified data available75 TFLOPS
No verified data available1,125 TFLOPS
2,250 TFLOPS sparse
2,000 TFLOPS 2,250 TFLOPS
4,500 TFLOPS sparse
2,000 TFLOPS 2,250 TFLOPS
4,500 TFLOPS sparse
4,000 TFLOPS 4,500 TFLOPS
9,000 TFLOPS sparse
FP6
No verified data available4,500 TFLOPS
9,000 TFLOPS sparse
8,000 TFLOPS 9,000 TFLOPS
18,000 TFLOPS sparse
No verified data available4,500 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 970 is the newer part: Da Vinci v5 (2028) against the B200's Blackwell (2024).

The Ascend 970 carries 108 GB more memory (288 GB against 180 GB), so larger models fit on one GPU before you shard. Bandwidth is 14.4 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 970 faster than the B200?

At FP8 precision the B200 reaches 4,500 TFLOPS dense against 4,000 TFLOPS for the Ascend 970. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the Ascend 970 or the B200?

Choose the B200 for training and high-throughput inference: it has 13% more FP8 throughput than the Ascend 970. Choose the Ascend 970 when the model has to fit on one GPU: it carries 108 GB more memory. Packaging differs too: the Ascend 970 is an OAM module while the B200 is an SXM module, so check what your servers accept.

Which has more memory, the Ascend 970 or the B200?

The Ascend 970 carries 288 GB of memory versus 180 GB for the B200. Memory bandwidth is 14.4 TB/s for the Ascend 970 and 7.7 TB/s for the B200.

How much do the Ascend 970 and the B200 cost to rent?

Live cloud listings tracked by Flopper price no live listings yet for the Ascend 970, 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

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Huawei Ascend 970

No live rental listings tracked for the Ascend 970 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.

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