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Showing 72 XPUs • 4 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

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 MI250XNVIDIA B200Etched SohuQualcomm Cloud AI 100
ArchitectureCDNA 2BlackwellTransformer ASICQualcomm AI
Form FactorOAMSXMPCIePCIe
VRAM128 GB192 GB144 GB16 GB
Memory Bandwidth3,277 GB/s8,000 GB/s4,800 GB/s134 GB/s
TFLOPs (FP32)47.99010,00050
TFLOPs (FP16)3832,250—400
TFLOPs3832,25010,00050
TFLOPs (FP8)—4,500——
TDP560 W1000 W700 W75 W
Launch DateNov 2021Mar 2024Jun 2024Sep 2020

Efficiency Metrics

MetricMI250XB200SohuCloud AI 100
TFLOPs per Watt (FP32-eq)0.341.1314.290.67
Memory Bandwidth per GB25.6 GB/s41.7 GB/s33.3 GB/s8.4 GB/s

Performance Equivalence

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

To match 1x AMD MI250X

NVIDIA B200
Compute (FP32-eq)
0.17x
B200 is 5.87x faster
FP32 Compute
0.53x
B200 is 1.88x faster
VRAM
0.67x
B200 has 1.50x more
Memory Bandwidth
0.41x
B200 has 2.44x more
Etched Sohu
Compute (FP32-eq)
0.02x
Sohu is 52.22x faster
FP32 Compute
0.00x
Sohu is 208.77x faster
VRAM
0.89x
Sohu has 1.13x more
Memory Bandwidth
0.68x
Sohu has 1.46x more
Qualcomm Cloud AI 100
Compute (FP32-eq)
3.83x
Need 3.83x Cloud AI 100
FP32 Compute
0.96x
Cloud AI 100 is 1.04x faster
VRAM
8.00x
Need 8.00x Cloud AI 100
Memory Bandwidth
24.46x
Need 24.46x Cloud AI 100

To match 1x NVIDIA B200

AMD MI250X
Compute (FP32-eq)
5.87x
Need 5.87x MI250X
FP32 Compute
1.88x
Need 1.88x MI250X
VRAM
1.50x
Need 1.50x MI250X
Memory Bandwidth
2.44x
Need 2.44x MI250X
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
Qualcomm Cloud AI 100
Compute (FP32-eq)
22.50x
Need 22.50x Cloud AI 100
FP32 Compute
1.80x
Need 1.80x Cloud AI 100
VRAM
12.00x
Need 12.00x Cloud AI 100
Memory Bandwidth
59.70x
Need 59.70x Cloud AI 100

To match 1x Etched Sohu

AMD MI250X
Compute (FP32-eq)
52.22x
Need 52.22x MI250X
FP32 Compute
208.77x
Need 208.77x MI250X
VRAM
1.13x
Need 1.13x MI250X
Memory Bandwidth
1.46x
Need 1.46x MI250X
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
Qualcomm Cloud AI 100
Compute (FP32-eq)
200.00x
Need 200.00x Cloud AI 100
FP32 Compute
200.00x
Need 200.00x Cloud AI 100
VRAM
9.00x
Need 9.00x Cloud AI 100
Memory Bandwidth
35.82x
Need 35.82x Cloud AI 100

To match 1x Qualcomm Cloud AI 100

AMD MI250X
Compute (FP32-eq)
0.26x
MI250X is 3.83x faster
FP32 Compute
1.04x
Need 1.04x MI250X
VRAM
0.13x
MI250X has 8.00x more
Memory Bandwidth
0.04x
MI250X has 24.46x more
NVIDIA B200
Compute (FP32-eq)
0.04x
B200 is 22.50x faster
FP32 Compute
0.56x
B200 is 1.80x faster
VRAM
0.08x
B200 has 12.00x more
Memory Bandwidth
0.02x
B200 has 59.70x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 200.00x faster
FP32 Compute
0.01x
Sohu is 200.00x faster
VRAM
0.11x
Sohu has 9.00x more
Memory Bandwidth
0.03x
Sohu has 35.82x more

Pricing

Price TypeMI250XB200SohuCloud AI 100
CAPEX (Street Price)$12,000$70,000——
OPEX (per hour)$2.00/hr———
Price per TFLOPs (FP32-eq)$63$62——