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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

SpecificationNVIDIA A10AMD MI350XNVIDIA GeForce RTX 4080AMD Radeon PRO W7900
ArchitectureAmpereCDNA 4Ada LovelaceRDNA 3
Form FactorPCIeOAMPCIePCIe
VRAM24 GB288 GB16 GB48 GB
Memory Bandwidth600 GB/s—717 GB/s864 GB/s
TFLOPs (FP32)31.2—48.761
TFLOPs (FP16)125—97.5122
TFLOPs1252,10097.5122
TFLOPs (FP8)————
TDP150 W850 W320 W295 W
Launch DateApr 2021Jun 2025Nov 2022Apr 2023

Efficiency Metrics

MetricA10MI350XGeForce RTX 4080Radeon PRO W7900
TFLOPs per Watt (FP32-eq)0.421.240.150.21
Memory Bandwidth per GB25.0 GB/s—44.8 GB/s18.0 GB/s

Performance Equivalence

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

To match 1x NVIDIA A10

AMD MI350X
Compute (FP32-eq)
0.06x
MI350X is 16.80x faster
VRAM
0.08x
MI350X has 12.00x more
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
1.28x
Need 1.28x GeForce RTX 4080
FP32 Compute
0.64x
GeForce RTX 4080 is 1.56x faster
VRAM
1.50x
Need 1.50x GeForce RTX 4080
Memory Bandwidth
0.84x
GeForce RTX 4080 has 1.20x more
AMD Radeon PRO W7900
Compute (FP32-eq)
1.02x
Need 1.02x Radeon PRO W7900
FP32 Compute
0.51x
Radeon PRO W7900 is 1.96x faster
VRAM
0.50x
Radeon PRO W7900 has 2.00x more
Memory Bandwidth
0.69x
Radeon PRO W7900 has 1.44x more

To match 1x AMD MI350X

NVIDIA A10
Compute (FP32-eq)
16.80x
Need 16.80x A10
VRAM
12.00x
Need 12.00x A10
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
21.54x
Need 21.54x GeForce RTX 4080
VRAM
18.00x
Need 18.00x GeForce RTX 4080
AMD Radeon PRO W7900
Compute (FP32-eq)
17.21x
Need 17.21x Radeon PRO W7900
VRAM
6.00x
Need 6.00x Radeon PRO W7900

To match 1x NVIDIA GeForce RTX 4080

NVIDIA A10
Compute (FP32-eq)
0.78x
A10 is 1.28x faster
FP32 Compute
1.56x
Need 1.56x A10
VRAM
0.67x
A10 has 1.50x more
Memory Bandwidth
1.20x
Need 1.20x A10
AMD MI350X
Compute (FP32-eq)
0.05x
MI350X is 21.54x faster
VRAM
0.06x
MI350X has 18.00x more
AMD Radeon PRO W7900
Compute (FP32-eq)
0.80x
Radeon PRO W7900 is 1.25x faster
FP32 Compute
0.80x
Radeon PRO W7900 is 1.25x faster
VRAM
0.33x
Radeon PRO W7900 has 3.00x more
Memory Bandwidth
0.83x
Radeon PRO W7900 has 1.21x more

To match 1x AMD Radeon PRO W7900

NVIDIA A10
Compute (FP32-eq)
0.98x
A10 is 1.02x faster
FP32 Compute
1.96x
Need 1.96x A10
VRAM
2.00x
Need 2.00x A10
Memory Bandwidth
1.44x
Need 1.44x A10
AMD MI350X
Compute (FP32-eq)
0.06x
MI350X is 17.21x faster
VRAM
0.17x
MI350X has 6.00x more
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
1.25x
Need 1.25x GeForce RTX 4080
FP32 Compute
1.25x
Need 1.25x GeForce RTX 4080
VRAM
3.00x
Need 3.00x GeForce RTX 4080
Memory Bandwidth
1.21x
Need 1.21x GeForce RTX 4080

Pricing

Price TypeA10MI350XGeForce RTX 4080Radeon PRO W7900
CAPEX (Street Price)————
OPEX (per hour)————
Price per TFLOPs (FP32-eq)————