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 A40Cerebras WSE-3SambaNova SN40LAMD MI300AEtched Sohu
ArchitectureAmpereWafer Scale EngineReconfigurable Dataflow Unit (RDU)CDNA 3Transformer ASIC
Form FactorPCIeOAMPCIe
VRAM48 GB44 GB640 GB128 GB144 GB
Memory Bandwidth696 GB/s5,300 GB/s4,800 GB/s
TFLOPs (FP32)37.4122.610,000
TFLOPs (FP16)150980.6
TFLOPs150980.610,000
TFLOPs (FP8)
TDP300 W23000 W700 W760 W700 W
Launch DateOct 2020Mar 2024Jan 2024Dec 2023Jun 2024

Efficiency Metrics

MetricA40WSE-3SN40LMI300ASohu
TFLOPs per Watt (FP32-eq)0.250.6514.29
Memory Bandwidth per GB14.5 GB/s41.4 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 A40

Cerebras WSE-3
VRAM
1.09x
Need 1.09x WSE-3
SambaNova SN40L
VRAM
0.07x
SN40L has 13.33x more
AMD MI300A
Compute (FP32-eq)
0.15x
MI300A is 6.54x faster
FP32 Compute
0.31x
MI300A is 3.28x faster
VRAM
0.38x
MI300A has 2.67x more
Memory Bandwidth
0.13x
MI300A 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 Cerebras WSE-3

NVIDIA A40
VRAM
0.92x
A40 has 1.09x more
SambaNova SN40L
VRAM
0.07x
SN40L has 14.55x more
AMD MI300A
VRAM
0.34x
MI300A has 2.91x more
Etched Sohu
VRAM
0.31x
Sohu has 3.27x more

To match 1x SambaNova SN40L

NVIDIA A40
VRAM
13.33x
Need 13.33x A40
Cerebras WSE-3
VRAM
14.55x
Need 14.55x WSE-3
AMD MI300A
VRAM
5.00x
Need 5.00x MI300A
Etched Sohu
VRAM
4.44x
Need 4.44x Sohu

To match 1x AMD MI300A

NVIDIA A40
Compute (FP32-eq)
6.54x
Need 6.54x A40
FP32 Compute
3.28x
Need 3.28x A40
VRAM
2.67x
Need 2.67x A40
Memory Bandwidth
7.61x
Need 7.61x A40
Cerebras WSE-3
VRAM
2.91x
Need 2.91x WSE-3
SambaNova SN40L
VRAM
0.20x
SN40L has 5.00x more
Etched Sohu
Compute (FP32-eq)
0.05x
Sohu is 20.40x faster
FP32 Compute
0.01x
Sohu is 81.57x faster
VRAM
0.89x
Sohu has 1.13x more
Memory Bandwidth
1.10x
Need 1.10x Sohu

To match 1x Etched Sohu

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
Cerebras WSE-3
VRAM
3.27x
Need 3.27x WSE-3
SambaNova SN40L
VRAM
0.23x
SN40L has 4.44x more
AMD MI300A
Compute (FP32-eq)
20.40x
Need 20.40x MI300A
FP32 Compute
81.57x
Need 81.57x MI300A
VRAM
1.13x
Need 1.13x MI300A
Memory Bandwidth
0.91x
MI300A has 1.10x more

Pricing

Price TypeA40WSE-3SN40LMI300ASohu
CAPEX (Street Price)
OPEX (per hour)
Price per TFLOPs (FP32-eq)