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Showing 72 XPUs • 4 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 A40NVIDIA GeForce RTX 4080NVIDIA GeForce RTX 4070Etched Sohu
ArchitectureAmpereAda LovelaceAda LovelaceTransformer ASIC
Form FactorPCIePCIePCIePCIe
VRAM48 GB16 GB12 GB144 GB
Memory Bandwidth696 GB/s717 GB/s504 GB/s4,800 GB/s
TFLOPs (FP32)37.448.729.110,000
TFLOPs (FP16)15097.558.2—
TFLOPs15097.558.210,000
TFLOPs (FP8)————
TDP300 W320 W200 W700 W
Launch DateOct 2020Nov 2022Apr 2023Jun 2024

Efficiency Metrics

MetricA40GeForce RTX 4080GeForce RTX 4070Sohu
TFLOPs per Watt (FP32-eq)0.250.150.1514.29
Memory Bandwidth per GB14.5 GB/s44.8 GB/s42.0 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 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
NVIDIA GeForce RTX 4070
Compute (FP32-eq)
2.58x
Need 2.58x GeForce RTX 4070
FP32 Compute
1.29x
Need 1.29x GeForce RTX 4070
VRAM
4.00x
Need 4.00x GeForce RTX 4070
Memory Bandwidth
1.38x
Need 1.38x GeForce RTX 4070
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 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
NVIDIA GeForce RTX 4070
Compute (FP32-eq)
1.68x
Need 1.68x GeForce RTX 4070
FP32 Compute
1.67x
Need 1.67x GeForce RTX 4070
VRAM
1.33x
Need 1.33x GeForce RTX 4070
Memory Bandwidth
1.42x
Need 1.42x GeForce RTX 4070
Etched Sohu
Compute (FP32-eq)
0.00x
Sohu is 205.13x faster
FP32 Compute
0.00x
Sohu is 205.34x faster
VRAM
0.11x
Sohu has 9.00x more
Memory Bandwidth
0.15x
Sohu has 6.69x more

To match 1x NVIDIA GeForce RTX 4070

NVIDIA A40
Compute (FP32-eq)
0.39x
A40 is 2.58x faster
FP32 Compute
0.78x
A40 is 1.29x faster
VRAM
0.25x
A40 has 4.00x more
Memory Bandwidth
0.72x
A40 has 1.38x more
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
0.60x
GeForce RTX 4080 is 1.68x faster
FP32 Compute
0.60x
GeForce RTX 4080 is 1.67x faster
VRAM
0.75x
GeForce RTX 4080 has 1.33x more
Memory Bandwidth
0.70x
GeForce RTX 4080 has 1.42x more
Etched Sohu
Compute (FP32-eq)
0.00x
Sohu is 343.64x faster
FP32 Compute
0.00x
Sohu is 343.64x faster
VRAM
0.08x
Sohu has 12.00x more
Memory Bandwidth
0.10x
Sohu has 9.52x 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 GeForce RTX 4080
Compute (FP32-eq)
205.13x
Need 205.13x GeForce RTX 4080
FP32 Compute
205.34x
Need 205.34x GeForce RTX 4080
VRAM
9.00x
Need 9.00x GeForce RTX 4080
Memory Bandwidth
6.69x
Need 6.69x GeForce RTX 4080
NVIDIA GeForce RTX 4070
Compute (FP32-eq)
343.64x
Need 343.64x GeForce RTX 4070
FP32 Compute
343.64x
Need 343.64x GeForce RTX 4070
VRAM
12.00x
Need 12.00x GeForce RTX 4070
Memory Bandwidth
9.52x
Need 9.52x GeForce RTX 4070

Pricing

Price TypeA40GeForce RTX 4080GeForce RTX 4070Sohu
CAPEX (Street Price)————
OPEX (per hour)————
Price per TFLOPs (FP32-eq)————