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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

SpecificationNVIDIA H200 SXMNVIDIA A40AMD MI300XEtched Sohu
ArchitectureHopperAmpereCDNA 3Transformer ASIC
Form FactorSXMPCIeOAMPCIe
VRAM141 GB48 GB192 GB144 GB
Memory Bandwidth4,800 GB/s696 GB/s5,300 GB/s4,800 GB/s
TFLOPs (FP32)6737.416310,000
TFLOPs (FP16)1,9791501,307—
TFLOPs1,9791501,30710,000
TFLOPs (FP8)3,958—2,614—
TDP700 W300 W750 W700 W
Launch DateNov 2023Oct 2020Dec 2023Jun 2024

Efficiency Metrics

MetricH200 SXMA40MI300XSohu
TFLOPs per Watt (FP32-eq)1.410.250.8714.29
Memory Bandwidth per GB34.0 GB/s14.5 GB/s27.6 GB/s33.3 GB/s

Performance Equivalence

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

To match 1x NVIDIA H200 SXM

NVIDIA A40
Compute (FP32-eq)
13.19x
Need 13.19x A40
FP32 Compute
1.79x
Need 1.79x A40
VRAM
2.94x
Need 2.94x A40
Memory Bandwidth
6.90x
Need 6.90x A40
AMD MI300X
Compute (FP32-eq)
1.51x
Need 1.51x MI300X
FP32 Compute
0.41x
MI300X is 2.43x faster
VRAM
0.73x
MI300X has 1.36x more
Memory Bandwidth
0.91x
MI300X has 1.10x more
Etched Sohu
Compute (FP32-eq)
0.10x
Sohu is 10.11x faster
FP32 Compute
0.01x
Sohu is 149.25x faster
VRAM
0.98x
Sohu has 1.02x more
Memory Bandwidth
1.00x
Sohu has 1.00x more

To match 1x NVIDIA A40

NVIDIA H200 SXM
Compute (FP32-eq)
0.08x
H200 SXM is 13.19x faster
FP32 Compute
0.56x
H200 SXM is 1.79x faster
VRAM
0.34x
H200 SXM has 2.94x more
Memory Bandwidth
0.14x
H200 SXM has 6.90x more
AMD MI300X
Compute (FP32-eq)
0.11x
MI300X is 8.71x faster
FP32 Compute
0.23x
MI300X is 4.36x faster
VRAM
0.25x
MI300X has 4.00x more
Memory Bandwidth
0.13x
MI300X has 7.61x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 133.33x faster
FP32 Compute
0.00x
Sohu is 267.38x faster
VRAM
0.33x
Sohu has 3.00x more
Memory Bandwidth
0.14x
Sohu has 6.90x more

To match 1x AMD MI300X

NVIDIA H200 SXM
Compute (FP32-eq)
0.66x
H200 SXM is 1.51x faster
FP32 Compute
2.43x
Need 2.43x H200 SXM
VRAM
1.36x
Need 1.36x H200 SXM
Memory Bandwidth
1.10x
Need 1.10x H200 SXM
NVIDIA A40
Compute (FP32-eq)
8.71x
Need 8.71x A40
FP32 Compute
4.36x
Need 4.36x A40
VRAM
4.00x
Need 4.00x A40
Memory Bandwidth
7.61x
Need 7.61x A40
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

To match 1x Etched Sohu

NVIDIA H200 SXM
Compute (FP32-eq)
10.11x
Need 10.11x H200 SXM
FP32 Compute
149.25x
Need 149.25x H200 SXM
VRAM
1.02x
Need 1.02x H200 SXM
Memory Bandwidth
1.00x
H200 SXM has 1.00x more
NVIDIA A40
Compute (FP32-eq)
133.33x
Need 133.33x A40
FP32 Compute
267.38x
Need 267.38x A40
VRAM
3.00x
Need 3.00x A40
Memory Bandwidth
6.90x
Need 6.90x A40
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

Pricing

Price TypeH200 SXMA40MI300XSohu
CAPEX (Street Price)$40,000—$35,000—
OPEX (per hour)——$10.40/hr—
Price per TFLOPs (FP32-eq)$40—$54—