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 L40SNVIDIA L4Microsoft Maia 100AMD MI300XHuawei Ascend 910B
ArchitectureAda LovelaceAda LovelaceMaiaCDNA 3Da Vinci
Form FactorPCIePCIe—OAM—
VRAM48 GB24 GB64 GB192 GB64 GB
Memory Bandwidth864 GB/s300 GB/s—5,300 GB/s—
TFLOPs (FP32)91.630.3—163—
TFLOPs (FP16)733242—1,307640
TFLOPs7331217001,307—
TFLOPs (FP8)1,466485—2,614—
TDP350 W72 W500 W750 W400 W
Launch DateOct 2023Mar 2023Nov 2023Dec 2023Aug 2023

Efficiency Metrics

MetricL40SL4Maia 100MI300XAscend 910B
TFLOPs per Watt (FP32-eq)1.050.840.700.87—
Memory Bandwidth per GB18.0 GB/s12.5 GB/s—27.6 GB/s—

Performance Equivalence

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

To match 1x NVIDIA L40S

NVIDIA L4
Compute (FP32-eq)
6.06x
Need 6.06x L4
FP32 Compute
3.02x
Need 3.02x L4
VRAM
2.00x
Need 2.00x L4
Memory Bandwidth
2.88x
Need 2.88x L4
Microsoft Maia 100
Compute (FP32-eq)
1.05x
Need 1.05x Maia 100
VRAM
0.75x
Maia 100 has 1.33x more
AMD MI300X
Compute (FP32-eq)
0.56x
MI300X is 1.78x faster
FP32 Compute
0.56x
MI300X is 1.78x faster
VRAM
0.25x
MI300X has 4.00x more
Memory Bandwidth
0.16x
MI300X has 6.13x more
Huawei Ascend 910B
VRAM
0.75x
Ascend 910B has 1.33x more

To match 1x NVIDIA L4

NVIDIA L40S
Compute (FP32-eq)
0.17x
L40S is 6.06x faster
FP32 Compute
0.33x
L40S is 3.02x faster
VRAM
0.50x
L40S has 2.00x more
Memory Bandwidth
0.35x
L40S has 2.88x more
Microsoft Maia 100
Compute (FP32-eq)
0.17x
Maia 100 is 5.79x faster
VRAM
0.38x
Maia 100 has 2.67x more
AMD MI300X
Compute (FP32-eq)
0.09x
MI300X is 10.80x faster
FP32 Compute
0.19x
MI300X is 5.38x faster
VRAM
0.13x
MI300X has 8.00x more
Memory Bandwidth
0.06x
MI300X has 17.67x more
Huawei Ascend 910B
VRAM
0.38x
Ascend 910B has 2.67x more

To match 1x Microsoft Maia 100

NVIDIA L40S
Compute (FP32-eq)
0.95x
L40S is 1.05x faster
VRAM
1.33x
Need 1.33x L40S
NVIDIA L4
Compute (FP32-eq)
5.79x
Need 5.79x L4
VRAM
2.67x
Need 2.67x L4
AMD MI300X
Compute (FP32-eq)
0.54x
MI300X is 1.87x faster
VRAM
0.33x
MI300X has 3.00x more
Huawei Ascend 910B
VRAM
1.00x
Ascend 910B has 1.00x more

To match 1x AMD MI300X

NVIDIA L40S
Compute (FP32-eq)
1.78x
Need 1.78x L40S
FP32 Compute
1.78x
Need 1.78x L40S
VRAM
4.00x
Need 4.00x L40S
Memory Bandwidth
6.13x
Need 6.13x L40S
NVIDIA L4
Compute (FP32-eq)
10.80x
Need 10.80x L4
FP32 Compute
5.38x
Need 5.38x L4
VRAM
8.00x
Need 8.00x L4
Memory Bandwidth
17.67x
Need 17.67x L4
Microsoft Maia 100
Compute (FP32-eq)
1.87x
Need 1.87x Maia 100
VRAM
3.00x
Need 3.00x Maia 100
Huawei Ascend 910B
VRAM
3.00x
Need 3.00x Ascend 910B

To match 1x Huawei Ascend 910B

NVIDIA L40S
VRAM
1.33x
Need 1.33x L40S
NVIDIA L4
VRAM
2.67x
Need 2.67x L4
Microsoft Maia 100
VRAM
1.00x
Maia 100 has 1.00x more
AMD MI300X
VRAM
0.33x
MI300X has 3.00x more

Pricing

Price TypeL40SL4Maia 100MI300XAscend 910B
CAPEX (Street Price)$10,000$4,000—$35,000—
OPEX (per hour)$1.50/hr$0.80/hr—$10.40/hr—
Price per TFLOPs (FP32-eq)$27$66—$54—