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

SpecificationAMD MI350XAWS TrainiumNVIDIA GeForce RTX 4070AMD MI300AEtched Sohu
ArchitectureCDNA 4Inferentia/TrainiumAda LovelaceCDNA 3Transformer ASIC
Form FactorOAMPCIeOAMPCIe
VRAM288 GB32 GB12 GB128 GB144 GB
Memory Bandwidth504 GB/s5,300 GB/s4,800 GB/s
TFLOPs (FP32)29.1122.610,000
TFLOPs (FP16)58.2980.6
TFLOPs2,10019058.2980.610,000
TFLOPs (FP8)
TDP850 W200 W200 W760 W700 W
Launch DateJun 2025Nov 2021Apr 2023Dec 2023Jun 2024

Efficiency Metrics

MetricMI350XTrainiumGeForce RTX 4070MI300ASohu
TFLOPs per Watt (FP32-eq)1.240.470.150.6514.29
Memory Bandwidth per GB42.0 GB/s41.4 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 AMD MI350X

AWS Trainium
Compute (FP32-eq)
11.05x
Need 11.05x Trainium
VRAM
9.00x
Need 9.00x Trainium
NVIDIA GeForce RTX 4070
Compute (FP32-eq)
36.08x
Need 36.08x GeForce RTX 4070
VRAM
24.00x
Need 24.00x GeForce RTX 4070
AMD MI300A
Compute (FP32-eq)
2.14x
Need 2.14x MI300A
VRAM
2.25x
Need 2.25x MI300A
Etched Sohu
Compute (FP32-eq)
0.10x
Sohu is 9.52x faster
VRAM
2.00x
Need 2.00x Sohu

To match 1x AWS Trainium

AMD MI350X
Compute (FP32-eq)
0.09x
MI350X is 11.05x faster
VRAM
0.11x
MI350X has 9.00x more
NVIDIA GeForce RTX 4070
Compute (FP32-eq)
3.26x
Need 3.26x GeForce RTX 4070
VRAM
2.67x
Need 2.67x GeForce RTX 4070
AMD MI300A
Compute (FP32-eq)
0.19x
MI300A is 5.16x faster
VRAM
0.25x
MI300A has 4.00x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 105.26x faster
VRAM
0.22x
Sohu has 4.50x more

To match 1x NVIDIA GeForce RTX 4070

AMD MI350X
Compute (FP32-eq)
0.03x
MI350X is 36.08x faster
VRAM
0.04x
MI350X has 24.00x more
AWS Trainium
Compute (FP32-eq)
0.31x
Trainium is 3.26x faster
VRAM
0.38x
Trainium has 2.67x more
AMD MI300A
Compute (FP32-eq)
0.06x
MI300A is 16.85x faster
FP32 Compute
0.24x
MI300A is 4.21x faster
VRAM
0.09x
MI300A has 10.67x more
Memory Bandwidth
0.10x
MI300A has 10.52x 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 AMD MI300A

AMD MI350X
Compute (FP32-eq)
0.47x
MI350X is 2.14x faster
VRAM
0.44x
MI350X has 2.25x more
AWS Trainium
Compute (FP32-eq)
5.16x
Need 5.16x Trainium
VRAM
4.00x
Need 4.00x Trainium
NVIDIA GeForce RTX 4070
Compute (FP32-eq)
16.85x
Need 16.85x GeForce RTX 4070
FP32 Compute
4.21x
Need 4.21x GeForce RTX 4070
VRAM
10.67x
Need 10.67x GeForce RTX 4070
Memory Bandwidth
10.52x
Need 10.52x GeForce RTX 4070
Etched Sohu
Compute (FP32-eq)
0.05x
Sohu is 20.40x faster
FP32 Compute
0.01x
Sohu is 81.57x faster
VRAM
0.89x
Sohu has 1.13x more
Memory Bandwidth
1.10x
Need 1.10x Sohu

To match 1x Etched Sohu

AMD MI350X
Compute (FP32-eq)
9.52x
Need 9.52x MI350X
VRAM
0.50x
MI350X has 2.00x more
AWS Trainium
Compute (FP32-eq)
105.26x
Need 105.26x Trainium
VRAM
4.50x
Need 4.50x Trainium
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
AMD MI300A
Compute (FP32-eq)
20.40x
Need 20.40x MI300A
FP32 Compute
81.57x
Need 81.57x MI300A
VRAM
1.13x
Need 1.13x MI300A
Memory Bandwidth
0.91x
MI300A has 1.10x more

Pricing

Price TypeMI350XTrainiumGeForce RTX 4070MI300ASohu
CAPEX (Street Price)
OPEX (per hour)
Price per TFLOPs (FP32-eq)