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 A40AMD MI100AWS Trainium2NVIDIA GeForce RTX 4080
ArchitectureAmpereCDNATrainium Gen2Ada Lovelace
Form FactorPCIePCIePCIe
VRAM48 GB32 GB16 GB
Memory Bandwidth696 GB/s1,228 GB/s717 GB/s
TFLOPs (FP32)37.423.148.7
TFLOPs (FP16)150184.697.5
TFLOPs15023.168097.5
TFLOPs (FP8)
TDP300 W300 W300 W320 W
Launch DateOct 2020Nov 2020Nov 2023Nov 2022

Efficiency Metrics

MetricA40MI100Trainium2GeForce RTX 4080
TFLOPs per Watt (FP32-eq)0.250.081.130.15
Memory Bandwidth per GB14.5 GB/s38.4 GB/s44.8 GB/s

Performance Equivalence

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

To match 1x NVIDIA A40

AMD MI100
Compute (FP32-eq)
3.25x
Need 3.25x MI100
FP32 Compute
1.62x
Need 1.62x MI100
VRAM
1.50x
Need 1.50x MI100
Memory Bandwidth
0.57x
MI100 has 1.76x more
AWS Trainium2
Compute (FP32-eq)
0.22x
Trainium2 is 4.53x faster
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
1.54x
Need 1.54x GeForce RTX 4080
FP32 Compute
0.77x
GeForce RTX 4080 is 1.30x faster
VRAM
3.00x
Need 3.00x GeForce RTX 4080
Memory Bandwidth
0.97x
GeForce RTX 4080 has 1.03x more

To match 1x AMD MI100

NVIDIA A40
Compute (FP32-eq)
0.31x
A40 is 3.25x faster
FP32 Compute
0.62x
A40 is 1.62x faster
VRAM
0.67x
A40 has 1.50x more
Memory Bandwidth
1.76x
Need 1.76x A40
AWS Trainium2
Compute (FP32-eq)
0.07x
Trainium2 is 14.72x faster
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
0.47x
GeForce RTX 4080 is 2.11x faster
FP32 Compute
0.47x
GeForce RTX 4080 is 2.11x faster
VRAM
2.00x
Need 2.00x GeForce RTX 4080
Memory Bandwidth
1.71x
Need 1.71x GeForce RTX 4080

To match 1x AWS Trainium2

NVIDIA A40
Compute (FP32-eq)
4.53x
Need 4.53x A40
AMD MI100
Compute (FP32-eq)
14.72x
Need 14.72x MI100
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
6.97x
Need 6.97x GeForce RTX 4080

To match 1x NVIDIA GeForce RTX 4080

NVIDIA A40
Compute (FP32-eq)
0.65x
A40 is 1.54x faster
FP32 Compute
1.30x
Need 1.30x A40
VRAM
0.33x
A40 has 3.00x more
Memory Bandwidth
1.03x
Need 1.03x A40
AMD MI100
Compute (FP32-eq)
2.11x
Need 2.11x MI100
FP32 Compute
2.11x
Need 2.11x MI100
VRAM
0.50x
MI100 has 2.00x more
Memory Bandwidth
0.58x
MI100 has 1.71x more
AWS Trainium2
Compute (FP32-eq)
0.14x
Trainium2 is 6.97x faster

Pricing

Price TypeA40MI100Trainium2GeForce RTX 4080
CAPEX (Street Price)
OPEX (per hour)$1.34/hr
Price per TFLOPs (FP32-eq)