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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

SpecificationAMD MI250XNVIDIA GeForce RTX 4070Etched SohuNVIDIA GeForce RTX 5090
ArchitectureCDNA 2Ada LovelaceTransformer ASICBlackwell
Form FactorOAMPCIePCIePCIe
VRAM128 GB12 GB144 GB32 GB
Memory Bandwidth3,277 GB/s504 GB/s4,800 GB/s1,792 GB/s
TFLOPs (FP32)47.929.110,000104.8
TFLOPs (FP16)38358.2—209.5
TFLOPs38358.210,000209.5
TFLOPs (FP8)————
TDP560 W200 W700 W575 W
Launch DateNov 2021Apr 2023Jun 2024Jan 2025

Efficiency Metrics

MetricMI250XGeForce RTX 4070SohuGeForce RTX 5090
TFLOPs per Watt (FP32-eq)0.340.1514.290.18
Memory Bandwidth per GB25.6 GB/s42.0 GB/s33.3 GB/s56.0 GB/s

Performance Equivalence

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

To match 1x AMD MI250X

NVIDIA GeForce RTX 4070
Compute (FP32-eq)
6.58x
Need 6.58x GeForce RTX 4070
FP32 Compute
1.65x
Need 1.65x GeForce RTX 4070
VRAM
10.67x
Need 10.67x GeForce RTX 4070
Memory Bandwidth
6.50x
Need 6.50x GeForce RTX 4070
Etched Sohu
Compute (FP32-eq)
0.02x
Sohu is 52.22x faster
FP32 Compute
0.00x
Sohu is 208.77x faster
VRAM
0.89x
Sohu has 1.13x more
Memory Bandwidth
0.68x
Sohu has 1.46x more
NVIDIA GeForce RTX 5090
Compute (FP32-eq)
1.83x
Need 1.83x GeForce RTX 5090
FP32 Compute
0.46x
GeForce RTX 5090 is 2.19x faster
VRAM
4.00x
Need 4.00x GeForce RTX 5090
Memory Bandwidth
1.83x
Need 1.83x GeForce RTX 5090

To match 1x NVIDIA GeForce RTX 4070

AMD MI250X
Compute (FP32-eq)
0.15x
MI250X is 6.58x faster
FP32 Compute
0.61x
MI250X is 1.65x faster
VRAM
0.09x
MI250X has 10.67x more
Memory Bandwidth
0.15x
MI250X has 6.50x 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
NVIDIA GeForce RTX 5090
Compute (FP32-eq)
0.28x
GeForce RTX 5090 is 3.60x faster
FP32 Compute
0.28x
GeForce RTX 5090 is 3.60x faster
VRAM
0.38x
GeForce RTX 5090 has 2.67x more
Memory Bandwidth
0.28x
GeForce RTX 5090 has 3.56x more

To match 1x Etched Sohu

AMD MI250X
Compute (FP32-eq)
52.22x
Need 52.22x MI250X
FP32 Compute
208.77x
Need 208.77x MI250X
VRAM
1.13x
Need 1.13x MI250X
Memory Bandwidth
1.46x
Need 1.46x MI250X
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
NVIDIA GeForce RTX 5090
Compute (FP32-eq)
95.47x
Need 95.47x GeForce RTX 5090
FP32 Compute
95.42x
Need 95.42x GeForce RTX 5090
VRAM
4.50x
Need 4.50x GeForce RTX 5090
Memory Bandwidth
2.68x
Need 2.68x GeForce RTX 5090

To match 1x NVIDIA GeForce RTX 5090

AMD MI250X
Compute (FP32-eq)
0.55x
MI250X is 1.83x faster
FP32 Compute
2.19x
Need 2.19x MI250X
VRAM
0.25x
MI250X has 4.00x more
Memory Bandwidth
0.55x
MI250X has 1.83x more
NVIDIA GeForce RTX 4070
Compute (FP32-eq)
3.60x
Need 3.60x GeForce RTX 4070
FP32 Compute
3.60x
Need 3.60x GeForce RTX 4070
VRAM
2.67x
Need 2.67x GeForce RTX 4070
Memory Bandwidth
3.56x
Need 3.56x GeForce RTX 4070
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 95.47x faster
FP32 Compute
0.01x
Sohu is 95.42x faster
VRAM
0.22x
Sohu has 4.50x more
Memory Bandwidth
0.37x
Sohu has 2.68x more

Pricing

Price TypeMI250XGeForce RTX 4070SohuGeForce RTX 5090
CAPEX (Street Price)$12,000———
OPEX (per hour)$2.00/hr———
Price per TFLOPs (FP32-eq)$63———