Compare XPUs

Select up to 5 XPUs to compare side-by-side

Select XPUs to Compare

Showing 72 XPUs4 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

SpecificationNVIDIA L4Google TPU v5pNVIDIA B200AWS Trainium2
ArchitectureAda LovelaceTPU v5BlackwellTrainium Gen2
Form FactorPCIeMezzanineSXM
VRAM24 GB192 GB
Memory Bandwidth300 GB/s8,000 GB/s
TFLOPs (FP32)30.390
TFLOPs (FP16)2422,250
TFLOPs1214592,250680
TFLOPs (FP8)4854,500
TDP72 W400 W1000 W300 W
Launch DateMar 2023Aug 2023Mar 2024Nov 2023

Efficiency Metrics

MetricL4TPU v5pB200Trainium2
TFLOPs per Watt (FP32-eq)0.840.571.131.13
Memory Bandwidth per GB12.5 GB/s41.7 GB/s

Performance Equivalence

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

To match 1x NVIDIA L4

Google TPU v5p
Compute (FP32-eq)
0.26x
TPU v5p is 3.79x faster
NVIDIA B200
Compute (FP32-eq)
0.05x
B200 is 18.60x faster
FP32 Compute
0.34x
B200 is 2.97x faster
VRAM
0.13x
B200 has 8.00x more
Memory Bandwidth
0.04x
B200 has 26.67x more
AWS Trainium2
Compute (FP32-eq)
0.18x
Trainium2 is 5.62x faster

To match 1x Google TPU v5p

NVIDIA L4
Compute (FP32-eq)
3.79x
Need 3.79x L4
NVIDIA B200
Compute (FP32-eq)
0.20x
B200 is 4.90x faster
AWS Trainium2
Compute (FP32-eq)
0.68x
Trainium2 is 1.48x faster

To match 1x NVIDIA B200

NVIDIA L4
Compute (FP32-eq)
18.60x
Need 18.60x L4
FP32 Compute
2.97x
Need 2.97x L4
VRAM
8.00x
Need 8.00x L4
Memory Bandwidth
26.67x
Need 26.67x L4
Google TPU v5p
Compute (FP32-eq)
4.90x
Need 4.90x TPU v5p
AWS Trainium2
Compute (FP32-eq)
3.31x
Need 3.31x Trainium2

To match 1x AWS Trainium2

NVIDIA L4
Compute (FP32-eq)
5.62x
Need 5.62x L4
Google TPU v5p
Compute (FP32-eq)
1.48x
Need 1.48x TPU v5p
NVIDIA B200
Compute (FP32-eq)
0.30x
B200 is 3.31x faster

Pricing

Price TypeL4TPU v5pB200Trainium2
CAPEX (Street Price)$4,000$70,000
OPEX (per hour)$0.80/hr$5.00/hr$1.34/hr
Price per TFLOPs (FP32-eq)$66$62