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 A100 SXMNVIDIA A40AMD MI100AMD MI350XEtched Sohu
ArchitectureAmpereAmpereCDNACDNA 4Transformer ASIC
Form FactorSXMPCIePCIeOAMPCIe
VRAM80 GB48 GB32 GB288 GB144 GB
Memory Bandwidth2,039 GB/s696 GB/s1,228 GB/s4,800 GB/s
TFLOPs (FP32)19.537.423.110,000
TFLOPs (FP16)312150184.6
TFLOPs31215023.12,10010,000
TFLOPs (FP8)
TDP400 W300 W300 W850 W700 W
Launch DateMay 2020Oct 2020Nov 2020Jun 2025Jun 2024

Efficiency Metrics

MetricA100 SXMA40MI100MI350XSohu
TFLOPs per Watt (FP32-eq)0.390.250.081.2414.29
Memory Bandwidth per GB25.5 GB/s14.5 GB/s38.4 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 A100 SXM

NVIDIA A40
Compute (FP32-eq)
2.08x
Need 2.08x A40
FP32 Compute
0.52x
A40 is 1.92x faster
VRAM
1.67x
Need 1.67x A40
Memory Bandwidth
2.93x
Need 2.93x A40
AMD MI100
Compute (FP32-eq)
6.75x
Need 6.75x MI100
FP32 Compute
0.84x
MI100 is 1.18x faster
VRAM
2.50x
Need 2.50x MI100
Memory Bandwidth
1.66x
Need 1.66x MI100
AMD MI350X
Compute (FP32-eq)
0.15x
MI350X is 6.73x faster
VRAM
0.28x
MI350X has 3.60x more
Etched Sohu
Compute (FP32-eq)
0.02x
Sohu is 64.10x faster
FP32 Compute
0.00x
Sohu is 512.82x faster
VRAM
0.56x
Sohu has 1.80x more
Memory Bandwidth
0.42x
Sohu has 2.35x more

To match 1x NVIDIA A40

NVIDIA A100 SXM
Compute (FP32-eq)
0.48x
A100 SXM is 2.08x faster
FP32 Compute
1.92x
Need 1.92x A100 SXM
VRAM
0.60x
A100 SXM has 1.67x more
Memory Bandwidth
0.34x
A100 SXM has 2.93x more
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
AMD MI350X
Compute (FP32-eq)
0.07x
MI350X is 14.00x faster
VRAM
0.17x
MI350X has 6.00x 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 AMD MI100

NVIDIA A100 SXM
Compute (FP32-eq)
0.15x
A100 SXM is 6.75x faster
FP32 Compute
1.18x
Need 1.18x A100 SXM
VRAM
0.40x
A100 SXM has 2.50x more
Memory Bandwidth
0.60x
A100 SXM has 1.66x more
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
AMD MI350X
Compute (FP32-eq)
0.02x
MI350X is 45.45x faster
VRAM
0.11x
MI350X has 9.00x more
Etched Sohu
Compute (FP32-eq)
0.00x
Sohu is 432.90x faster
FP32 Compute
0.00x
Sohu is 432.90x faster
VRAM
0.22x
Sohu has 4.50x more
Memory Bandwidth
0.26x
Sohu has 3.91x more

To match 1x AMD MI350X

NVIDIA A100 SXM
Compute (FP32-eq)
6.73x
Need 6.73x A100 SXM
VRAM
3.60x
Need 3.60x A100 SXM
NVIDIA A40
Compute (FP32-eq)
14.00x
Need 14.00x A40
VRAM
6.00x
Need 6.00x A40
AMD MI100
Compute (FP32-eq)
45.45x
Need 45.45x MI100
VRAM
9.00x
Need 9.00x MI100
Etched Sohu
Compute (FP32-eq)
0.10x
Sohu is 9.52x faster
VRAM
2.00x
Need 2.00x Sohu

To match 1x Etched Sohu

NVIDIA A100 SXM
Compute (FP32-eq)
64.10x
Need 64.10x A100 SXM
FP32 Compute
512.82x
Need 512.82x A100 SXM
VRAM
1.80x
Need 1.80x A100 SXM
Memory Bandwidth
2.35x
Need 2.35x A100 SXM
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
AMD MI100
Compute (FP32-eq)
432.90x
Need 432.90x MI100
FP32 Compute
432.90x
Need 432.90x MI100
VRAM
4.50x
Need 4.50x MI100
Memory Bandwidth
3.91x
Need 3.91x MI100
AMD MI350X
Compute (FP32-eq)
9.52x
Need 9.52x MI350X
VRAM
0.50x
MI350X has 2.00x more

Pricing

Price TypeA100 SXMA40MI100MI350XSohu
CAPEX (Street Price)$15,000
OPEX (per hour)$4.05/hr
Price per TFLOPs (FP32-eq)$96