Compare XPUs

Select up to 5 XPUs to compare side-by-side

Select XPUs to Compare

Showing 72 XPUs5 selected

Alibaba

Hanguang 800

AMD

MI100

23.1 TFLOPs

AMD

MI210

181 TFLOPs

AMD

MI250X

383 TFLOPs

AMD

MI300A

980.6 TFLOPs

AMD

MI300X

1,307 TFLOPs

AMD

MI325X

1,400 TFLOPs

AMD

MI350X

2,100 TFLOPs

AMD

Radeon PRO W7900

122 TFLOPs

AMD

Radeon RX 7900 XT

104 TFLOPs

AMD

Radeon RX 7900 XTX

122 TFLOPs

AWS

Inferentia2

190 TFLOPs

AWS

Trainium

190 TFLOPs

AWS

Trainium2

680 TFLOPs

Baidu

Kunlun II

Biren Technology

BR100

Cambricon

MLU370

256 TFLOPs

Cerebras

WSE-3

Enflame Technology

CloudBlazer T20

Etched

Sohu

10,000 TFLOPs

FuriosaAI

Warboy

Google

TPU v4

275 TFLOPs

Google

TPU v5e

197 TFLOPs

Google

TPU v5p

459 TFLOPs

Google

TPU v6e (Trillium)

918 TFLOPs

Graphcore

Bow IPU

Graphcore

IPU-M2000

Groq

LPU Inference Engine

Huawei

Ascend 910B

Iluvatar CoreX

BI-V150

300 TFLOPs

Intel

Data Center GPU Max 1100

177 TFLOPs

Intel

Data Center GPU Max 1550

419 TFLOPs

Intel Habana

Gaudi 2

432 TFLOPs

Intel Habana

Gaudi 3

1,835 TFLOPs

Meta

MTIA v1

Microsoft

Maia 100

700 TFLOPs

Moore Threads

MTT S80

NVIDIA

A10

125 TFLOPs

NVIDIA

A100 SXM

312 TFLOPs

NVIDIA

A40

150 TFLOPs

NVIDIA

B200

2,250 TFLOPs

NVIDIA

GB200 NVL72

360,000 TFLOPs

NVIDIA

GB200 Superchip

5,000 TFLOPs

NVIDIA

GeForce RTX 4060 Ti

44.2 TFLOPs

NVIDIA

GeForce RTX 4070

58.2 TFLOPs

NVIDIA

GeForce RTX 4070 Super

71 TFLOPs

NVIDIA

GeForce RTX 4070 Ti

80.2 TFLOPs

NVIDIA

GeForce RTX 4070 Ti Super

88.2 TFLOPs

NVIDIA

GeForce RTX 4080

97.5 TFLOPs

NVIDIA

GeForce RTX 4080 Super

104.4 TFLOPs

NVIDIA

GeForce RTX 4090

165.2 TFLOPs

NVIDIA

GeForce RTX 5070

61.6 TFLOPs

NVIDIA

GeForce RTX 5070 Ti

88 TFLOPs

NVIDIA

GeForce RTX 5080

112.6 TFLOPs

NVIDIA

GeForce RTX 5090

209.5 TFLOPs

NVIDIA

H100 PCIe

1,513 TFLOPs

NVIDIA

H100 SXM

1,979 TFLOPs

NVIDIA

H200 PCIe

1,513 TFLOPs

NVIDIA

H200 SXM

1,979 TFLOPs

NVIDIA

L4

121 TFLOPs

NVIDIA

L40S

733 TFLOPs

NVIDIA

RTX 4000 Ada Generation

53.4 TFLOPs

NVIDIA

RTX 5000 Ada Generation

130.6 TFLOPs

NVIDIA

RTX 6000 Ada Generation

182.2 TFLOPs

NVIDIA

RTX PRO 6000 Blackwell Max-Q

125 TFLOPs

NVIDIA

RTX PRO 6000 Blackwell Server Edition

250 TFLOPs

NVIDIA

RTX PRO 6000 Blackwell Workstation Edition

250 TFLOPs

Qualcomm

Cloud AI 100

50 TFLOPs

Rebellions

ATOM

SambaNova

SN40L

Tenstorrent

Grayskull

200 TFLOPs

Tenstorrent

Wormhole

364 TFLOPs

Maximum of 5 XPUs can be compared at once. Deselect one to add another.

Multi-Metric Comparison

Relative performance across 5 key metrics (normalized to 100 = best in comparison)

Compute Performance (BF16)

Memory Capacity

Power Consumption

Power Efficiency

Specifications

SpecificationNVIDIA B200Cambricon MLU370AMD MI300XEtched SohuNVIDIA GeForce RTX 5090
ArchitectureBlackwellMLU CoreCDNA 3Transformer ASICBlackwell
Form FactorSXMOAMPCIePCIe
VRAM192 GB48 GB192 GB144 GB32 GB
Memory Bandwidth8,000 GB/s5,300 GB/s4,800 GB/s1,792 GB/s
TFLOPs (FP32)9016310,000104.8
TFLOPs (FP16)2,2501,307209.5
TFLOPs2,2502561,30710,000209.5
TFLOPs (FP8)4,5002,614
TDP1000 W300 W750 W700 W575 W
Launch DateMar 2024Nov 2022Dec 2023Jun 2024Jan 2025

Efficiency Metrics

MetricB200MLU370MI300XSohuGeForce RTX 5090
TFLOPs per Watt (FP32-eq)1.130.430.8714.290.18
Memory Bandwidth per GB41.7 GB/s27.6 GB/s33.3 GB/s56.0 GB/s

Performance Equivalence

How many units of each GPU are needed to match the performance of the others?

To match 1x NVIDIA B200

Cambricon MLU370
Compute (FP32-eq)
8.79x
Need 8.79x MLU370
VRAM
4.00x
Need 4.00x MLU370
AMD MI300X
Compute (FP32-eq)
1.72x
Need 1.72x MI300X
FP32 Compute
0.55x
MI300X is 1.81x faster
VRAM
1.00x
MI300X has 1.00x more
Memory Bandwidth
1.51x
Need 1.51x MI300X
Etched Sohu
Compute (FP32-eq)
0.11x
Sohu is 8.89x faster
FP32 Compute
0.01x
Sohu is 111.11x faster
VRAM
1.33x
Need 1.33x Sohu
Memory Bandwidth
1.67x
Need 1.67x Sohu
NVIDIA GeForce RTX 5090
Compute (FP32-eq)
10.74x
Need 10.74x GeForce RTX 5090
FP32 Compute
0.86x
GeForce RTX 5090 is 1.16x faster
VRAM
6.00x
Need 6.00x GeForce RTX 5090
Memory Bandwidth
4.46x
Need 4.46x GeForce RTX 5090

To match 1x Cambricon MLU370

NVIDIA B200
Compute (FP32-eq)
0.11x
B200 is 8.79x faster
VRAM
0.25x
B200 has 4.00x more
AMD MI300X
Compute (FP32-eq)
0.20x
MI300X is 5.11x faster
VRAM
0.25x
MI300X has 4.00x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 78.13x faster
VRAM
0.33x
Sohu has 3.00x more
NVIDIA GeForce RTX 5090
Compute (FP32-eq)
1.22x
Need 1.22x GeForce RTX 5090
VRAM
1.50x
Need 1.50x GeForce RTX 5090

To match 1x AMD MI300X

NVIDIA B200
Compute (FP32-eq)
0.58x
B200 is 1.72x faster
FP32 Compute
1.81x
Need 1.81x B200
VRAM
1.00x
B200 has 1.00x more
Memory Bandwidth
0.66x
B200 has 1.51x more
Cambricon MLU370
Compute (FP32-eq)
5.11x
Need 5.11x MLU370
VRAM
4.00x
Need 4.00x MLU370
Etched Sohu
Compute (FP32-eq)
0.07x
Sohu is 15.30x faster
FP32 Compute
0.02x
Sohu is 61.35x faster
VRAM
1.33x
Need 1.33x Sohu
Memory Bandwidth
1.10x
Need 1.10x Sohu
NVIDIA GeForce RTX 5090
Compute (FP32-eq)
6.24x
Need 6.24x GeForce RTX 5090
FP32 Compute
1.56x
Need 1.56x GeForce RTX 5090
VRAM
6.00x
Need 6.00x GeForce RTX 5090
Memory Bandwidth
2.96x
Need 2.96x GeForce RTX 5090

To match 1x Etched Sohu

NVIDIA B200
Compute (FP32-eq)
8.89x
Need 8.89x B200
FP32 Compute
111.11x
Need 111.11x B200
VRAM
0.75x
B200 has 1.33x more
Memory Bandwidth
0.60x
B200 has 1.67x more
Cambricon MLU370
Compute (FP32-eq)
78.13x
Need 78.13x MLU370
VRAM
3.00x
Need 3.00x MLU370
AMD MI300X
Compute (FP32-eq)
15.30x
Need 15.30x MI300X
FP32 Compute
61.35x
Need 61.35x MI300X
VRAM
0.75x
MI300X has 1.33x more
Memory Bandwidth
0.91x
MI300X has 1.10x more
NVIDIA GeForce RTX 5090
Compute (FP32-eq)
95.47x
Need 95.47x GeForce RTX 5090
FP32 Compute
95.42x
Need 95.42x GeForce RTX 5090
VRAM
4.50x
Need 4.50x GeForce RTX 5090
Memory Bandwidth
2.68x
Need 2.68x GeForce RTX 5090

To match 1x NVIDIA GeForce RTX 5090

NVIDIA B200
Compute (FP32-eq)
0.09x
B200 is 10.74x faster
FP32 Compute
1.16x
Need 1.16x B200
VRAM
0.17x
B200 has 6.00x more
Memory Bandwidth
0.22x
B200 has 4.46x more
Cambricon MLU370
Compute (FP32-eq)
0.82x
MLU370 is 1.22x faster
VRAM
0.67x
MLU370 has 1.50x more
AMD MI300X
Compute (FP32-eq)
0.16x
MI300X is 6.24x faster
FP32 Compute
0.64x
MI300X is 1.56x faster
VRAM
0.17x
MI300X has 6.00x more
Memory Bandwidth
0.34x
MI300X has 2.96x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 95.47x faster
FP32 Compute
0.01x
Sohu is 95.42x faster
VRAM
0.22x
Sohu has 4.50x more
Memory Bandwidth
0.37x
Sohu has 2.68x more

Pricing

Price TypeB200MLU370MI300XSohuGeForce RTX 5090
CAPEX (Street Price)$70,000$35,000
OPEX (per hour)$10.40/hr
Price per TFLOPs (FP32-eq)$62$54