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 L4AMD MI100AWS Trainium2Microsoft Maia 100AMD MI300X
ArchitectureAda LovelaceCDNATrainium Gen2MaiaCDNA 3
Form FactorPCIePCIeOAM
VRAM24 GB32 GB64 GB192 GB
Memory Bandwidth300 GB/s1,228 GB/s5,300 GB/s
TFLOPs (FP32)30.323.1163
TFLOPs (FP16)242184.61,307
TFLOPs12123.16807001,307
TFLOPs (FP8)4852,614
TDP72 W300 W300 W500 W750 W
Launch DateMar 2023Nov 2020Nov 2023Nov 2023Dec 2023

Efficiency Metrics

MetricL4MI100Trainium2Maia 100MI300X
TFLOPs per Watt (FP32-eq)0.840.081.130.700.87
Memory Bandwidth per GB12.5 GB/s38.4 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 NVIDIA L4

AMD MI100
Compute (FP32-eq)
2.62x
Need 2.62x MI100
FP32 Compute
1.31x
Need 1.31x MI100
VRAM
0.75x
MI100 has 1.33x more
Memory Bandwidth
0.24x
MI100 has 4.09x more
AWS Trainium2
Compute (FP32-eq)
0.18x
Trainium2 is 5.62x faster
Microsoft Maia 100
Compute (FP32-eq)
0.17x
Maia 100 is 5.79x faster
VRAM
0.38x
Maia 100 has 2.67x more
AMD MI300X
Compute (FP32-eq)
0.09x
MI300X is 10.80x faster
FP32 Compute
0.19x
MI300X is 5.38x faster
VRAM
0.13x
MI300X has 8.00x more
Memory Bandwidth
0.06x
MI300X has 17.67x more

To match 1x AMD MI100

NVIDIA L4
Compute (FP32-eq)
0.38x
L4 is 2.62x faster
FP32 Compute
0.76x
L4 is 1.31x faster
VRAM
1.33x
Need 1.33x L4
Memory Bandwidth
4.09x
Need 4.09x L4
AWS Trainium2
Compute (FP32-eq)
0.07x
Trainium2 is 14.72x faster
Microsoft Maia 100
Compute (FP32-eq)
0.07x
Maia 100 is 15.15x faster
VRAM
0.50x
Maia 100 has 2.00x 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

To match 1x AWS Trainium2

NVIDIA L4
Compute (FP32-eq)
5.62x
Need 5.62x L4
AMD MI100
Compute (FP32-eq)
14.72x
Need 14.72x MI100
Microsoft Maia 100
Compute (FP32-eq)
0.97x
Maia 100 is 1.03x faster
AMD MI300X
Compute (FP32-eq)
0.52x
MI300X is 1.92x faster

To match 1x Microsoft Maia 100

NVIDIA L4
Compute (FP32-eq)
5.79x
Need 5.79x L4
VRAM
2.67x
Need 2.67x L4
AMD MI100
Compute (FP32-eq)
15.15x
Need 15.15x MI100
VRAM
2.00x
Need 2.00x MI100
AWS Trainium2
Compute (FP32-eq)
1.03x
Need 1.03x Trainium2
AMD MI300X
Compute (FP32-eq)
0.54x
MI300X is 1.87x faster
VRAM
0.33x
MI300X has 3.00x more

To match 1x AMD MI300X

NVIDIA L4
Compute (FP32-eq)
10.80x
Need 10.80x L4
FP32 Compute
5.38x
Need 5.38x L4
VRAM
8.00x
Need 8.00x L4
Memory Bandwidth
17.67x
Need 17.67x L4
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
AWS Trainium2
Compute (FP32-eq)
1.92x
Need 1.92x Trainium2
Microsoft Maia 100
Compute (FP32-eq)
1.87x
Need 1.87x Maia 100
VRAM
3.00x
Need 3.00x Maia 100

Pricing

Price TypeL4MI100Trainium2Maia 100MI300X
CAPEX (Street Price)$4,000$35,000
OPEX (per hour)$0.80/hr$1.34/hr$10.40/hr
Price per TFLOPs (FP32-eq)$66$54