Compare XPUs

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Showing 72 XPUs • 5 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

SpecificationNVIDIA A40AMD MI250XAMD MI350XAWS Inferentia2AMD MI300A
ArchitectureAmpereCDNA 2CDNA 4Inferentia Gen2CDNA 3
Form FactorPCIeOAMOAM—OAM
VRAM48 GB128 GB288 GB32 GB128 GB
Memory Bandwidth696 GB/s3,277 GB/s——5,300 GB/s
TFLOPs (FP32)37.447.9——122.6
TFLOPs (FP16)150383——980.6
TFLOPs1503832,100190980.6
TFLOPs (FP8)—————
TDP300 W560 W850 W150 W760 W
Launch DateOct 2020Nov 2021Jun 2025Nov 2022Dec 2023

Efficiency Metrics

MetricA40MI250XMI350XInferentia2MI300A
TFLOPs per Watt (FP32-eq)0.250.341.240.630.65
Memory Bandwidth per GB14.5 GB/s25.6 GB/s——41.4 GB/s

Performance Equivalence

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

To match 1x NVIDIA A40

AMD MI250X
Compute (FP32-eq)
0.39x
MI250X is 2.55x faster
FP32 Compute
0.78x
MI250X is 1.28x faster
VRAM
0.38x
MI250X has 2.67x more
Memory Bandwidth
0.21x
MI250X has 4.71x more
AMD MI350X
Compute (FP32-eq)
0.07x
MI350X is 14.00x faster
VRAM
0.17x
MI350X has 6.00x more
AWS Inferentia2
Compute (FP32-eq)
0.79x
Inferentia2 is 1.27x faster
VRAM
1.50x
Need 1.50x Inferentia2
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

To match 1x AMD MI250X

NVIDIA A40
Compute (FP32-eq)
2.55x
Need 2.55x A40
FP32 Compute
1.28x
Need 1.28x A40
VRAM
2.67x
Need 2.67x A40
Memory Bandwidth
4.71x
Need 4.71x A40
AMD MI350X
Compute (FP32-eq)
0.18x
MI350X is 5.48x faster
VRAM
0.44x
MI350X has 2.25x more
AWS Inferentia2
Compute (FP32-eq)
2.02x
Need 2.02x Inferentia2
VRAM
4.00x
Need 4.00x Inferentia2
AMD MI300A
Compute (FP32-eq)
0.39x
MI300A is 2.56x faster
FP32 Compute
0.39x
MI300A is 2.56x faster
VRAM
1.00x
MI300A has 1.00x more
Memory Bandwidth
0.62x
MI300A has 1.62x more

To match 1x AMD MI350X

NVIDIA A40
Compute (FP32-eq)
14.00x
Need 14.00x A40
VRAM
6.00x
Need 6.00x A40
AMD MI250X
Compute (FP32-eq)
5.48x
Need 5.48x MI250X
VRAM
2.25x
Need 2.25x MI250X
AWS Inferentia2
Compute (FP32-eq)
11.05x
Need 11.05x Inferentia2
VRAM
9.00x
Need 9.00x Inferentia2
AMD MI300A
Compute (FP32-eq)
2.14x
Need 2.14x MI300A
VRAM
2.25x
Need 2.25x MI300A

To match 1x AWS Inferentia2

NVIDIA A40
Compute (FP32-eq)
1.27x
Need 1.27x A40
VRAM
0.67x
A40 has 1.50x more
AMD MI250X
Compute (FP32-eq)
0.50x
MI250X is 2.02x faster
VRAM
0.25x
MI250X has 4.00x more
AMD MI350X
Compute (FP32-eq)
0.09x
MI350X is 11.05x faster
VRAM
0.11x
MI350X has 9.00x more
AMD MI300A
Compute (FP32-eq)
0.19x
MI300A is 5.16x faster
VRAM
0.25x
MI300A has 4.00x more

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
AMD MI250X
Compute (FP32-eq)
2.56x
Need 2.56x MI250X
FP32 Compute
2.56x
Need 2.56x MI250X
VRAM
1.00x
MI250X has 1.00x more
Memory Bandwidth
1.62x
Need 1.62x MI250X
AMD MI350X
Compute (FP32-eq)
0.47x
MI350X is 2.14x faster
VRAM
0.44x
MI350X has 2.25x more
AWS Inferentia2
Compute (FP32-eq)
5.16x
Need 5.16x Inferentia2
VRAM
4.00x
Need 4.00x Inferentia2

Pricing

Price TypeA40MI250XMI350XInferentia2MI300A
CAPEX (Street Price)—$12,000———
OPEX (per hour)—$2.00/hr———
Price per TFLOPs (FP32-eq)—$63———