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 A10Tenstorrent GrayskullAWS Trainium2Moore Threads MTT S80Etched Sohu
ArchitectureAmpereTensix CoreTrainium Gen2ChunxiaoTransformer ASIC
Form FactorPCIePCIe
VRAM24 GB8 GB32 GB144 GB
Memory Bandwidth600 GB/s4,800 GB/s
TFLOPs (FP32)31.210,000
TFLOPs (FP16)125256
TFLOPs12520068010,000
TFLOPs (FP8)
TDP150 W65 W300 W300 W700 W
Launch DateApr 2021Mar 2021Nov 2023Mar 2022Jun 2024

Efficiency Metrics

MetricA10GrayskullTrainium2MTT S80Sohu
TFLOPs per Watt (FP32-eq)0.421.541.1314.29
Memory Bandwidth per GB25.0 GB/s33.3 GB/s

Performance Equivalence

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

To match 1x NVIDIA A10

Tenstorrent Grayskull
Compute (FP32-eq)
0.63x
Grayskull is 1.60x faster
VRAM
3.00x
Need 3.00x Grayskull
AWS Trainium2
Compute (FP32-eq)
0.18x
Trainium2 is 5.44x faster
Moore Threads MTT S80
VRAM
0.75x
MTT S80 has 1.33x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 160.00x faster
FP32 Compute
0.00x
Sohu is 320.51x faster
VRAM
0.17x
Sohu has 6.00x more
Memory Bandwidth
0.13x
Sohu has 8.00x more

To match 1x Tenstorrent Grayskull

NVIDIA A10
Compute (FP32-eq)
1.60x
Need 1.60x A10
VRAM
0.33x
A10 has 3.00x more
AWS Trainium2
Compute (FP32-eq)
0.29x
Trainium2 is 3.40x faster
Moore Threads MTT S80
VRAM
0.25x
MTT S80 has 4.00x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 100.00x faster
VRAM
0.06x
Sohu has 18.00x more

To match 1x AWS Trainium2

NVIDIA A10
Compute (FP32-eq)
5.44x
Need 5.44x A10
Tenstorrent Grayskull
Compute (FP32-eq)
3.40x
Need 3.40x Grayskull
Etched Sohu
Compute (FP32-eq)
0.03x
Sohu is 29.41x faster

To match 1x Moore Threads MTT S80

NVIDIA A10
VRAM
1.33x
Need 1.33x A10
Tenstorrent Grayskull
VRAM
4.00x
Need 4.00x Grayskull
Etched Sohu
VRAM
0.22x
Sohu has 4.50x more

To match 1x Etched Sohu

NVIDIA A10
Compute (FP32-eq)
160.00x
Need 160.00x A10
FP32 Compute
320.51x
Need 320.51x A10
VRAM
6.00x
Need 6.00x A10
Memory Bandwidth
8.00x
Need 8.00x A10
Tenstorrent Grayskull
Compute (FP32-eq)
100.00x
Need 100.00x Grayskull
VRAM
18.00x
Need 18.00x Grayskull
AWS Trainium2
Compute (FP32-eq)
29.41x
Need 29.41x Trainium2
Moore Threads MTT S80
VRAM
4.50x
Need 4.50x MTT S80

Pricing

Price TypeA10GrayskullTrainium2MTT S80Sohu
CAPEX (Street Price)
OPEX (per hour)$1.34/hr
Price per TFLOPs (FP32-eq)