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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 MI250XAMD MI300XNVIDIA GeForce RTX 4090AMD Radeon PRO W7900
ArchitectureCDNA 2CDNA 3Ada LovelaceRDNA 3
Form FactorOAMOAMPCIePCIe
VRAM128 GB192 GB24 GB48 GB
Memory Bandwidth3,277 GB/s5,300 GB/s1,008 GB/s864 GB/s
TFLOPs (FP32)47.916382.661
TFLOPs (FP16)3831,307165.2122
TFLOPs3831,307165.2122
TFLOPs (FP8)—2,614——
TDP560 W750 W450 W295 W
Launch DateNov 2021Dec 2023Oct 2022Apr 2023

Efficiency Metrics

MetricMI250XMI300XGeForce RTX 4090Radeon PRO W7900
TFLOPs per Watt (FP32-eq)0.340.870.180.21
Memory Bandwidth per GB25.6 GB/s27.6 GB/s42.0 GB/s18.0 GB/s

Performance Equivalence

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

To match 1x AMD MI250X

AMD MI300X
Compute (FP32-eq)
0.29x
MI300X is 3.41x faster
FP32 Compute
0.29x
MI300X is 3.40x faster
VRAM
0.67x
MI300X has 1.50x more
Memory Bandwidth
0.62x
MI300X has 1.62x more
NVIDIA GeForce RTX 4090
Compute (FP32-eq)
2.32x
Need 2.32x GeForce RTX 4090
FP32 Compute
0.58x
GeForce RTX 4090 is 1.72x faster
VRAM
5.33x
Need 5.33x GeForce RTX 4090
Memory Bandwidth
3.25x
Need 3.25x GeForce RTX 4090
AMD Radeon PRO W7900
Compute (FP32-eq)
3.14x
Need 3.14x Radeon PRO W7900
FP32 Compute
0.79x
Radeon PRO W7900 is 1.27x faster
VRAM
2.67x
Need 2.67x Radeon PRO W7900
Memory Bandwidth
3.79x
Need 3.79x Radeon PRO W7900

To match 1x AMD MI300X

AMD MI250X
Compute (FP32-eq)
3.41x
Need 3.41x MI250X
FP32 Compute
3.40x
Need 3.40x MI250X
VRAM
1.50x
Need 1.50x MI250X
Memory Bandwidth
1.62x
Need 1.62x MI250X
NVIDIA GeForce RTX 4090
Compute (FP32-eq)
7.91x
Need 7.91x GeForce RTX 4090
FP32 Compute
1.97x
Need 1.97x GeForce RTX 4090
VRAM
8.00x
Need 8.00x GeForce RTX 4090
Memory Bandwidth
5.26x
Need 5.26x GeForce RTX 4090
AMD Radeon PRO W7900
Compute (FP32-eq)
10.71x
Need 10.71x Radeon PRO W7900
FP32 Compute
2.67x
Need 2.67x Radeon PRO W7900
VRAM
4.00x
Need 4.00x Radeon PRO W7900
Memory Bandwidth
6.13x
Need 6.13x Radeon PRO W7900

To match 1x NVIDIA GeForce RTX 4090

AMD MI250X
Compute (FP32-eq)
0.43x
MI250X is 2.32x faster
FP32 Compute
1.72x
Need 1.72x MI250X
VRAM
0.19x
MI250X has 5.33x more
Memory Bandwidth
0.31x
MI250X has 3.25x more
AMD MI300X
Compute (FP32-eq)
0.13x
MI300X is 7.91x faster
FP32 Compute
0.51x
MI300X is 1.97x faster
VRAM
0.13x
MI300X has 8.00x more
Memory Bandwidth
0.19x
MI300X has 5.26x more
AMD Radeon PRO W7900
Compute (FP32-eq)
1.35x
Need 1.35x Radeon PRO W7900
FP32 Compute
1.35x
Need 1.35x Radeon PRO W7900
VRAM
0.50x
Radeon PRO W7900 has 2.00x more
Memory Bandwidth
1.17x
Need 1.17x Radeon PRO W7900

To match 1x AMD Radeon PRO W7900

AMD MI250X
Compute (FP32-eq)
0.32x
MI250X is 3.14x faster
FP32 Compute
1.27x
Need 1.27x MI250X
VRAM
0.38x
MI250X has 2.67x more
Memory Bandwidth
0.26x
MI250X has 3.79x more
AMD MI300X
Compute (FP32-eq)
0.09x
MI300X is 10.71x faster
FP32 Compute
0.37x
MI300X is 2.67x faster
VRAM
0.25x
MI300X has 4.00x more
Memory Bandwidth
0.16x
MI300X has 6.13x more
NVIDIA GeForce RTX 4090
Compute (FP32-eq)
0.74x
GeForce RTX 4090 is 1.35x faster
FP32 Compute
0.74x
GeForce RTX 4090 is 1.35x faster
VRAM
2.00x
Need 2.00x GeForce RTX 4090
Memory Bandwidth
0.86x
GeForce RTX 4090 has 1.17x more

Pricing

Price TypeMI250XMI300XGeForce RTX 4090Radeon PRO W7900
CAPEX (Street Price)$12,000$35,000——
OPEX (per hour)$2.00/hr$10.40/hr——
Price per TFLOPs (FP32-eq)$63$54——