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 A40NVIDIA A10SambaNova SN40LGoogle TPU v6e (Trillium)Etched Sohu
ArchitectureAmpereAmpereReconfigurable Dataflow Unit (RDU)TrilliumTransformer ASIC
Form FactorPCIePCIeCustomPCIe
VRAM48 GB24 GB640 GB32 GB144 GB
Memory Bandwidth696 GB/s600 GB/s1,600 GB/s4,800 GB/s
TFLOPs (FP32)37.431.245910,000
TFLOPs (FP16)150125918
TFLOPs15012591810,000
TFLOPs (FP8)
TDP300 W150 W700 W200 W700 W
Launch DateOct 2020Apr 2021Jan 2024May 2024Jun 2024

Efficiency Metrics

MetricA40A10SN40LTPU v6e (Trillium)Sohu
TFLOPs per Watt (FP32-eq)0.250.422.2914.29
Memory Bandwidth per GB14.5 GB/s25.0 GB/s50.0 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 A40

NVIDIA A10
Compute (FP32-eq)
1.20x
Need 1.20x A10
FP32 Compute
1.20x
Need 1.20x A10
VRAM
2.00x
Need 2.00x A10
Memory Bandwidth
1.16x
Need 1.16x A10
SambaNova SN40L
VRAM
0.07x
SN40L has 13.33x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.16x
TPU v6e (Trillium) is 6.12x faster
FP32 Compute
0.08x
TPU v6e (Trillium) is 12.27x faster
VRAM
1.50x
Need 1.50x TPU v6e (Trillium)
Memory Bandwidth
0.43x
TPU v6e (Trillium) has 2.30x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 133.33x faster
FP32 Compute
0.00x
Sohu is 267.38x faster
VRAM
0.33x
Sohu has 3.00x more
Memory Bandwidth
0.14x
Sohu has 6.90x more

To match 1x NVIDIA A10

NVIDIA A40
Compute (FP32-eq)
0.83x
A40 is 1.20x faster
FP32 Compute
0.83x
A40 is 1.20x faster
VRAM
0.50x
A40 has 2.00x more
Memory Bandwidth
0.86x
A40 has 1.16x more
SambaNova SN40L
VRAM
0.04x
SN40L has 26.67x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.14x
TPU v6e (Trillium) is 7.34x faster
FP32 Compute
0.07x
TPU v6e (Trillium) is 14.71x faster
VRAM
0.75x
TPU v6e (Trillium) has 1.33x more
Memory Bandwidth
0.38x
TPU v6e (Trillium) has 2.67x 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 SambaNova SN40L

NVIDIA A40
VRAM
13.33x
Need 13.33x A40
NVIDIA A10
VRAM
26.67x
Need 26.67x A10
Google TPU v6e (Trillium)
VRAM
20.00x
Need 20.00x TPU v6e (Trillium)
Etched Sohu
VRAM
4.44x
Need 4.44x Sohu

To match 1x Google TPU v6e (Trillium)

NVIDIA A40
Compute (FP32-eq)
6.12x
Need 6.12x A40
FP32 Compute
12.27x
Need 12.27x A40
VRAM
0.67x
A40 has 1.50x more
Memory Bandwidth
2.30x
Need 2.30x A40
NVIDIA A10
Compute (FP32-eq)
7.34x
Need 7.34x A10
FP32 Compute
14.71x
Need 14.71x A10
VRAM
1.33x
Need 1.33x A10
Memory Bandwidth
2.67x
Need 2.67x A10
SambaNova SN40L
VRAM
0.05x
SN40L has 20.00x more
Etched Sohu
Compute (FP32-eq)
0.05x
Sohu is 21.79x faster
FP32 Compute
0.05x
Sohu is 21.79x faster
VRAM
0.22x
Sohu has 4.50x more
Memory Bandwidth
0.33x
Sohu has 3.00x more

To match 1x Etched Sohu

NVIDIA A40
Compute (FP32-eq)
133.33x
Need 133.33x A40
FP32 Compute
267.38x
Need 267.38x A40
VRAM
3.00x
Need 3.00x A40
Memory Bandwidth
6.90x
Need 6.90x A40
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
SambaNova SN40L
VRAM
0.23x
SN40L has 4.44x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
21.79x
Need 21.79x TPU v6e (Trillium)
FP32 Compute
21.79x
Need 21.79x TPU v6e (Trillium)
VRAM
4.50x
Need 4.50x TPU v6e (Trillium)
Memory Bandwidth
3.00x
Need 3.00x TPU v6e (Trillium)

Pricing

Price TypeA40A10SN40LTPU v6e (Trillium)Sohu
CAPEX (Street Price)
OPEX (per hour)
Price per TFLOPs (FP32-eq)