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

SpecificationAMD MI100Microsoft Maia 100NVIDIA H100 SXMAMD MI300XAWS Trainium
ArchitectureCDNAMaiaHopperCDNA 3Inferentia/Trainium
Form FactorPCIeSXMOAM
VRAM32 GB64 GB80 GB192 GB32 GB
Memory Bandwidth1,228 GB/s3,350 GB/s5,300 GB/s
TFLOPs (FP32)23.167163
TFLOPs (FP16)184.61,9791,307
TFLOPs23.17001,9791,307190
TFLOPs (FP8)3,9582,614
TDP300 W500 W700 W750 W200 W
Launch DateNov 2020Nov 2023Sep 2022Dec 2023Nov 2021

Efficiency Metrics

MetricMI100Maia 100H100 SXMMI300XTrainium
TFLOPs per Watt (FP32-eq)0.080.701.410.870.47
Memory Bandwidth per GB38.4 GB/s41.9 GB/s27.6 GB/s

Performance Equivalence

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

To match 1x AMD MI100

Microsoft Maia 100
Compute (FP32-eq)
0.07x
Maia 100 is 15.15x faster
VRAM
0.50x
Maia 100 has 2.00x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.02x
H100 SXM is 42.84x faster
FP32 Compute
0.34x
H100 SXM is 2.90x faster
VRAM
0.40x
H100 SXM has 2.50x more
Memory Bandwidth
0.37x
H100 SXM has 2.73x more
AMD MI300X
Compute (FP32-eq)
0.04x
MI300X is 28.29x faster
FP32 Compute
0.14x
MI300X is 7.06x faster
VRAM
0.17x
MI300X has 6.00x more
Memory Bandwidth
0.23x
MI300X has 4.32x more
AWS Trainium
Compute (FP32-eq)
0.24x
Trainium is 4.11x faster
VRAM
1.00x
Trainium has 1.00x more

To match 1x Microsoft Maia 100

AMD MI100
Compute (FP32-eq)
15.15x
Need 15.15x MI100
VRAM
2.00x
Need 2.00x MI100
NVIDIA H100 SXM
Compute (FP32-eq)
0.35x
H100 SXM is 2.83x faster
VRAM
0.80x
H100 SXM has 1.25x more
AMD MI300X
Compute (FP32-eq)
0.54x
MI300X is 1.87x faster
VRAM
0.33x
MI300X has 3.00x more
AWS Trainium
Compute (FP32-eq)
3.68x
Need 3.68x Trainium
VRAM
2.00x
Need 2.00x Trainium

To match 1x NVIDIA H100 SXM

AMD MI100
Compute (FP32-eq)
42.84x
Need 42.84x MI100
FP32 Compute
2.90x
Need 2.90x MI100
VRAM
2.50x
Need 2.50x MI100
Memory Bandwidth
2.73x
Need 2.73x MI100
Microsoft Maia 100
Compute (FP32-eq)
2.83x
Need 2.83x Maia 100
VRAM
1.25x
Need 1.25x Maia 100
AMD MI300X
Compute (FP32-eq)
1.51x
Need 1.51x MI300X
FP32 Compute
0.41x
MI300X is 2.43x faster
VRAM
0.42x
MI300X has 2.40x more
Memory Bandwidth
0.63x
MI300X has 1.58x more
AWS Trainium
Compute (FP32-eq)
10.42x
Need 10.42x Trainium
VRAM
2.50x
Need 2.50x Trainium

To match 1x AMD MI300X

AMD MI100
Compute (FP32-eq)
28.29x
Need 28.29x MI100
FP32 Compute
7.06x
Need 7.06x MI100
VRAM
6.00x
Need 6.00x MI100
Memory Bandwidth
4.32x
Need 4.32x MI100
Microsoft Maia 100
Compute (FP32-eq)
1.87x
Need 1.87x Maia 100
VRAM
3.00x
Need 3.00x Maia 100
NVIDIA H100 SXM
Compute (FP32-eq)
0.66x
H100 SXM is 1.51x faster
FP32 Compute
2.43x
Need 2.43x H100 SXM
VRAM
2.40x
Need 2.40x H100 SXM
Memory Bandwidth
1.58x
Need 1.58x H100 SXM
AWS Trainium
Compute (FP32-eq)
6.88x
Need 6.88x Trainium
VRAM
6.00x
Need 6.00x Trainium

To match 1x AWS Trainium

AMD MI100
Compute (FP32-eq)
4.11x
Need 4.11x MI100
VRAM
1.00x
MI100 has 1.00x more
Microsoft Maia 100
Compute (FP32-eq)
0.27x
Maia 100 is 3.68x faster
VRAM
0.50x
Maia 100 has 2.00x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.10x
H100 SXM is 10.42x faster
VRAM
0.40x
H100 SXM has 2.50x more
AMD MI300X
Compute (FP32-eq)
0.15x
MI300X is 6.88x faster
VRAM
0.17x
MI300X has 6.00x more

Pricing

Price TypeMI100Maia 100H100 SXMMI300XTrainium
CAPEX (Street Price)$30,000$35,000
OPEX (per hour)$3.50/hr$10.40/hr
Price per TFLOPs (FP32-eq)$30$54