Compare XPUs

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Showing 72 XPUs • 5 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

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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 A100 SXMAMD MI210SambaNova SN40LNVIDIA H100 SXMAWS Trainium
ArchitectureAmpereCDNA 2Reconfigurable Dataflow Unit (RDU)HopperInferentia/Trainium
Form FactorSXMPCIe—SXM—
VRAM80 GB64 GB640 GB80 GB32 GB
Memory Bandwidth2,039 GB/s1,638 GB/s—3,350 GB/s—
TFLOPs (FP32)19.545.3—67—
TFLOPs (FP16)312181—1,979—
TFLOPs312181—1,979190
TFLOPs (FP8)———3,958—
TDP400 W300 W700 W700 W200 W
Launch DateMay 2020Jan 2022Jan 2024Sep 2022Nov 2021

Efficiency Metrics

MetricA100 SXMMI210SN40LH100 SXMTrainium
TFLOPs per Watt (FP32-eq)0.390.30—1.410.47
Memory Bandwidth per GB25.5 GB/s25.6 GB/s—41.9 GB/s—

Performance Equivalence

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

To match 1x NVIDIA A100 SXM

AMD MI210
Compute (FP32-eq)
1.72x
Need 1.72x MI210
FP32 Compute
0.43x
MI210 is 2.32x faster
VRAM
1.25x
Need 1.25x MI210
Memory Bandwidth
1.24x
Need 1.24x MI210
SambaNova SN40L
VRAM
0.13x
SN40L has 8.00x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.16x
H100 SXM is 6.34x faster
FP32 Compute
0.29x
H100 SXM is 3.44x faster
VRAM
1.00x
H100 SXM has 1.00x more
Memory Bandwidth
0.61x
H100 SXM has 1.64x more
AWS Trainium
Compute (FP32-eq)
1.64x
Need 1.64x Trainium
VRAM
2.50x
Need 2.50x Trainium

To match 1x AMD MI210

NVIDIA A100 SXM
Compute (FP32-eq)
0.58x
A100 SXM is 1.72x faster
FP32 Compute
2.32x
Need 2.32x A100 SXM
VRAM
0.80x
A100 SXM has 1.25x more
Memory Bandwidth
0.80x
A100 SXM has 1.24x more
SambaNova SN40L
VRAM
0.10x
SN40L has 10.00x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.09x
H100 SXM is 10.93x faster
FP32 Compute
0.68x
H100 SXM is 1.48x faster
VRAM
0.80x
H100 SXM has 1.25x more
Memory Bandwidth
0.49x
H100 SXM has 2.05x more
AWS Trainium
Compute (FP32-eq)
0.95x
Trainium is 1.05x faster
VRAM
2.00x
Need 2.00x Trainium

To match 1x SambaNova SN40L

NVIDIA A100 SXM
VRAM
8.00x
Need 8.00x A100 SXM
AMD MI210
VRAM
10.00x
Need 10.00x MI210
NVIDIA H100 SXM
VRAM
8.00x
Need 8.00x H100 SXM
AWS Trainium
VRAM
20.00x
Need 20.00x Trainium

To match 1x NVIDIA H100 SXM

NVIDIA A100 SXM
Compute (FP32-eq)
6.34x
Need 6.34x A100 SXM
FP32 Compute
3.44x
Need 3.44x A100 SXM
VRAM
1.00x
A100 SXM has 1.00x more
Memory Bandwidth
1.64x
Need 1.64x A100 SXM
AMD MI210
Compute (FP32-eq)
10.93x
Need 10.93x MI210
FP32 Compute
1.48x
Need 1.48x MI210
VRAM
1.25x
Need 1.25x MI210
Memory Bandwidth
2.05x
Need 2.05x MI210
SambaNova SN40L
VRAM
0.13x
SN40L has 8.00x more
AWS Trainium
Compute (FP32-eq)
10.42x
Need 10.42x Trainium
VRAM
2.50x
Need 2.50x Trainium

To match 1x AWS Trainium

NVIDIA A100 SXM
Compute (FP32-eq)
0.61x
A100 SXM is 1.64x faster
VRAM
0.40x
A100 SXM has 2.50x more
AMD MI210
Compute (FP32-eq)
1.05x
Need 1.05x MI210
VRAM
0.50x
MI210 has 2.00x more
SambaNova SN40L
VRAM
0.05x
SN40L has 20.00x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.10x
H100 SXM is 10.42x faster
VRAM
0.40x
H100 SXM has 2.50x more

Pricing

Price TypeA100 SXMMI210SN40LH100 SXMTrainium
CAPEX (Street Price)$15,000$6,000—$30,000—
OPEX (per hour)$4.05/hr——$3.50/hr—
Price per TFLOPs (FP32-eq)$96$66—$30—