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 MI100NVIDIA H100 SXMAWS TrainiumNVIDIA GB200 Superchip
ArchitectureAda LovelaceCDNAHopperInferentia/TrainiumBlackwell
Form FactorPCIePCIeSXMSXM
VRAM24 GB32 GB80 GB32 GB384 GB
Memory Bandwidth300 GB/s1,228 GB/s3,350 GB/s8,000 GB/s
TFLOPs (FP32)30.323.16790
TFLOPs (FP16)242184.61,9795,000
TFLOPs12123.11,9791905,000
TFLOPs (FP8)4853,958
TDP72 W300 W700 W200 W2700 W
Launch DateMar 2023Nov 2020Sep 2022Nov 2021Mar 2024

Efficiency Metrics

MetricL4MI100H100 SXMTrainiumGB200 Superchip
TFLOPs per Watt (FP32-eq)0.840.081.410.470.93
Memory Bandwidth per GB12.5 GB/s38.4 GB/s41.9 GB/s20.8 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
NVIDIA H100 SXM
Compute (FP32-eq)
0.06x
H100 SXM is 16.36x faster
FP32 Compute
0.45x
H100 SXM is 2.21x faster
VRAM
0.30x
H100 SXM has 3.33x more
Memory Bandwidth
0.09x
H100 SXM has 11.17x more
AWS Trainium
Compute (FP32-eq)
0.64x
Trainium is 1.57x faster
VRAM
0.75x
Trainium has 1.33x more
NVIDIA GB200 Superchip
Compute (FP32-eq)
0.02x
GB200 Superchip is 41.32x faster
FP32 Compute
0.34x
GB200 Superchip is 2.97x faster
VRAM
0.06x
GB200 Superchip has 16.00x more
Memory Bandwidth
0.04x
GB200 Superchip has 26.67x 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
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
AWS Trainium
Compute (FP32-eq)
0.24x
Trainium is 4.11x faster
VRAM
1.00x
Trainium has 1.00x more
NVIDIA GB200 Superchip
Compute (FP32-eq)
0.01x
GB200 Superchip is 108.23x faster
FP32 Compute
0.26x
GB200 Superchip is 3.90x faster
VRAM
0.08x
GB200 Superchip has 12.00x more
Memory Bandwidth
0.15x
GB200 Superchip has 6.51x more

To match 1x NVIDIA H100 SXM

NVIDIA L4
Compute (FP32-eq)
16.36x
Need 16.36x L4
FP32 Compute
2.21x
Need 2.21x L4
VRAM
3.33x
Need 3.33x L4
Memory Bandwidth
11.17x
Need 11.17x L4
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
AWS Trainium
Compute (FP32-eq)
10.42x
Need 10.42x Trainium
VRAM
2.50x
Need 2.50x Trainium
NVIDIA GB200 Superchip
Compute (FP32-eq)
0.40x
GB200 Superchip is 2.53x faster
FP32 Compute
0.74x
GB200 Superchip is 1.34x faster
VRAM
0.21x
GB200 Superchip has 4.80x more
Memory Bandwidth
0.42x
GB200 Superchip has 2.39x more

To match 1x AWS Trainium

NVIDIA L4
Compute (FP32-eq)
1.57x
Need 1.57x L4
VRAM
1.33x
Need 1.33x L4
AMD MI100
Compute (FP32-eq)
4.11x
Need 4.11x MI100
VRAM
1.00x
MI100 has 1.00x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.10x
H100 SXM is 10.42x faster
VRAM
0.40x
H100 SXM has 2.50x more
NVIDIA GB200 Superchip
Compute (FP32-eq)
0.04x
GB200 Superchip is 26.32x faster
VRAM
0.08x
GB200 Superchip has 12.00x more

To match 1x NVIDIA GB200 Superchip

NVIDIA L4
Compute (FP32-eq)
41.32x
Need 41.32x L4
FP32 Compute
2.97x
Need 2.97x L4
VRAM
16.00x
Need 16.00x L4
Memory Bandwidth
26.67x
Need 26.67x L4
AMD MI100
Compute (FP32-eq)
108.23x
Need 108.23x MI100
FP32 Compute
3.90x
Need 3.90x MI100
VRAM
12.00x
Need 12.00x MI100
Memory Bandwidth
6.51x
Need 6.51x MI100
NVIDIA H100 SXM
Compute (FP32-eq)
2.53x
Need 2.53x H100 SXM
FP32 Compute
1.34x
Need 1.34x H100 SXM
VRAM
4.80x
Need 4.80x H100 SXM
Memory Bandwidth
2.39x
Need 2.39x H100 SXM
AWS Trainium
Compute (FP32-eq)
26.32x
Need 26.32x Trainium
VRAM
12.00x
Need 12.00x Trainium

Pricing

Price TypeL4MI100H100 SXMTrainiumGB200 Superchip
CAPEX (Street Price)$4,000$30,000
OPEX (per hour)$0.80/hr$3.50/hr
Price per TFLOPs (FP32-eq)$66$30