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 H200 SXMNVIDIA A40NVIDIA A10AMD MI350XCerebras WSE-3
ArchitectureHopperAmpereAmpereCDNA 4Wafer Scale Engine
Form FactorSXMPCIePCIeOAM—
VRAM141 GB48 GB24 GB288 GB44 GB
Memory Bandwidth4,800 GB/s696 GB/s600 GB/s——
TFLOPs (FP32)6737.431.2——
TFLOPs (FP16)1,979150125——
TFLOPs1,9791501252,100—
TFLOPs (FP8)3,958————
TDP700 W300 W150 W850 W23000 W
Launch DateNov 2023Oct 2020Apr 2021Jun 2025Mar 2024

Efficiency Metrics

MetricH200 SXMA40A10MI350XWSE-3
TFLOPs per Watt (FP32-eq)1.410.250.421.24—
Memory Bandwidth per GB34.0 GB/s14.5 GB/s25.0 GB/s——

Performance Equivalence

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

To match 1x NVIDIA H200 SXM

NVIDIA A40
Compute (FP32-eq)
13.19x
Need 13.19x A40
FP32 Compute
1.79x
Need 1.79x A40
VRAM
2.94x
Need 2.94x A40
Memory Bandwidth
6.90x
Need 6.90x A40
NVIDIA A10
Compute (FP32-eq)
15.83x
Need 15.83x A10
FP32 Compute
2.15x
Need 2.15x A10
VRAM
5.88x
Need 5.88x A10
Memory Bandwidth
8.00x
Need 8.00x A10
AMD MI350X
Compute (FP32-eq)
0.94x
MI350X is 1.06x faster
VRAM
0.49x
MI350X has 2.04x more
Cerebras WSE-3
VRAM
3.20x
Need 3.20x WSE-3

To match 1x NVIDIA A40

NVIDIA H200 SXM
Compute (FP32-eq)
0.08x
H200 SXM is 13.19x faster
FP32 Compute
0.56x
H200 SXM is 1.79x faster
VRAM
0.34x
H200 SXM has 2.94x more
Memory Bandwidth
0.14x
H200 SXM has 6.90x more
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
AMD MI350X
Compute (FP32-eq)
0.07x
MI350X is 14.00x faster
VRAM
0.17x
MI350X has 6.00x more
Cerebras WSE-3
VRAM
1.09x
Need 1.09x WSE-3

To match 1x NVIDIA A10

NVIDIA H200 SXM
Compute (FP32-eq)
0.06x
H200 SXM is 15.83x faster
FP32 Compute
0.47x
H200 SXM is 2.15x faster
VRAM
0.17x
H200 SXM has 5.88x more
Memory Bandwidth
0.13x
H200 SXM has 8.00x more
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
AMD MI350X
Compute (FP32-eq)
0.06x
MI350X is 16.80x faster
VRAM
0.08x
MI350X has 12.00x more
Cerebras WSE-3
VRAM
0.55x
WSE-3 has 1.83x more

To match 1x AMD MI350X

NVIDIA H200 SXM
Compute (FP32-eq)
1.06x
Need 1.06x H200 SXM
VRAM
2.04x
Need 2.04x H200 SXM
NVIDIA A40
Compute (FP32-eq)
14.00x
Need 14.00x A40
VRAM
6.00x
Need 6.00x A40
NVIDIA A10
Compute (FP32-eq)
16.80x
Need 16.80x A10
VRAM
12.00x
Need 12.00x A10
Cerebras WSE-3
VRAM
6.55x
Need 6.55x WSE-3

To match 1x Cerebras WSE-3

NVIDIA H200 SXM
VRAM
0.31x
H200 SXM has 3.20x more
NVIDIA A40
VRAM
0.92x
A40 has 1.09x more
NVIDIA A10
VRAM
1.83x
Need 1.83x A10
AMD MI350X
VRAM
0.15x
MI350X has 6.55x more

Pricing

Price TypeH200 SXMA40A10MI350XWSE-3
CAPEX (Street Price)$40,000————
OPEX (per hour)—————
Price per TFLOPs (FP32-eq)$40————