Compare XPUs

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Showing 72 XPUs • 6 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

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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

SpecificationAMD MI210NVIDIA B200AWS Trainium2AWS Inferentia2Rebellions ATOMEtched Sohu
ArchitectureCDNA 2BlackwellTrainium Gen2Inferentia Gen2Rebellions NPUTransformer ASIC
Form FactorPCIeSXM———PCIe
VRAM64 GB192 GB—32 GB—144 GB
Memory Bandwidth1,638 GB/s8,000 GB/s———4,800 GB/s
TFLOPs (FP32)45.390———10,000
TFLOPs (FP16)1812,250————
TFLOPs1812,250680190—10,000
TFLOPs (FP8)—4,500————
TDP300 W1000 W300 W150 W200 W700 W
Launch DateJan 2022Mar 2024Nov 2023Nov 2022Jun 2023Jun 2024

Efficiency Metrics

MetricMI210B200Trainium2Inferentia2ATOMSohu
TFLOPs per Watt (FP32-eq)0.301.131.130.63—14.29
Memory Bandwidth per GB25.6 GB/s41.7 GB/s———33.3 GB/s

Performance Equivalence

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

To match 1x AMD MI210

NVIDIA B200
Compute (FP32-eq)
0.08x
B200 is 12.43x faster
FP32 Compute
0.50x
B200 is 1.99x faster
VRAM
0.33x
B200 has 3.00x more
Memory Bandwidth
0.20x
B200 has 4.88x more
AWS Trainium2
Compute (FP32-eq)
0.27x
Trainium2 is 3.76x faster
AWS Inferentia2
Compute (FP32-eq)
0.95x
Inferentia2 is 1.05x faster
VRAM
2.00x
Need 2.00x Inferentia2
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 110.50x faster
FP32 Compute
0.00x
Sohu is 220.75x faster
VRAM
0.44x
Sohu has 2.25x more
Memory Bandwidth
0.34x
Sohu has 2.93x more

To match 1x NVIDIA B200

AMD MI210
Compute (FP32-eq)
12.43x
Need 12.43x MI210
FP32 Compute
1.99x
Need 1.99x MI210
VRAM
3.00x
Need 3.00x MI210
Memory Bandwidth
4.88x
Need 4.88x MI210
AWS Trainium2
Compute (FP32-eq)
3.31x
Need 3.31x Trainium2
AWS Inferentia2
Compute (FP32-eq)
11.84x
Need 11.84x Inferentia2
VRAM
6.00x
Need 6.00x Inferentia2
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

To match 1x AWS Trainium2

AMD MI210
Compute (FP32-eq)
3.76x
Need 3.76x MI210
NVIDIA B200
Compute (FP32-eq)
0.30x
B200 is 3.31x faster
AWS Inferentia2
Compute (FP32-eq)
3.58x
Need 3.58x Inferentia2
Etched Sohu
Compute (FP32-eq)
0.03x
Sohu is 29.41x faster

To match 1x AWS Inferentia2

AMD MI210
Compute (FP32-eq)
1.05x
Need 1.05x MI210
VRAM
0.50x
MI210 has 2.00x more
NVIDIA B200
Compute (FP32-eq)
0.08x
B200 is 11.84x faster
VRAM
0.17x
B200 has 6.00x more
AWS Trainium2
Compute (FP32-eq)
0.28x
Trainium2 is 3.58x faster
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 105.26x faster
VRAM
0.22x
Sohu has 4.50x more

To match 1x Etched Sohu

AMD MI210
Compute (FP32-eq)
110.50x
Need 110.50x MI210
FP32 Compute
220.75x
Need 220.75x MI210
VRAM
2.25x
Need 2.25x MI210
Memory Bandwidth
2.93x
Need 2.93x MI210
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
AWS Trainium2
Compute (FP32-eq)
29.41x
Need 29.41x Trainium2
AWS Inferentia2
Compute (FP32-eq)
105.26x
Need 105.26x Inferentia2
VRAM
4.50x
Need 4.50x Inferentia2

Pricing

Price TypeMI210B200Trainium2Inferentia2ATOMSohu
CAPEX (Street Price)$6,000$70,000————
OPEX (per hour)——$1.34/hr———
Price per TFLOPs (FP32-eq)$66$62————