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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 MI250XAMD MI300XNVIDIA GeForce RTX 4080
ArchitectureAmpereCDNA 2CDNA 3Ada Lovelace
Form FactorPCIeOAMOAMPCIe
VRAM24 GB128 GB192 GB16 GB
Memory Bandwidth600 GB/s3,277 GB/s5,300 GB/s717 GB/s
TFLOPs (FP32)31.247.916348.7
TFLOPs (FP16)1253831,30797.5
TFLOPs1253831,30797.5
TFLOPs (FP8)——2,614—
TDP150 W560 W750 W320 W
Launch DateApr 2021Nov 2021Dec 2023Nov 2022

Efficiency Metrics

MetricA10MI250XMI300XGeForce RTX 4080
TFLOPs per Watt (FP32-eq)0.420.340.870.15
Memory Bandwidth per GB25.0 GB/s25.6 GB/s27.6 GB/s44.8 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 MI250X
Compute (FP32-eq)
0.33x
MI250X is 3.06x faster
FP32 Compute
0.65x
MI250X is 1.54x faster
VRAM
0.19x
MI250X has 5.33x more
Memory Bandwidth
0.18x
MI250X has 5.46x more
AMD MI300X
Compute (FP32-eq)
0.10x
MI300X is 10.46x faster
FP32 Compute
0.19x
MI300X is 5.22x faster
VRAM
0.13x
MI300X has 8.00x more
Memory Bandwidth
0.11x
MI300X has 8.83x 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

To match 1x AMD MI250X

NVIDIA A10
Compute (FP32-eq)
3.06x
Need 3.06x A10
FP32 Compute
1.54x
Need 1.54x A10
VRAM
5.33x
Need 5.33x A10
Memory Bandwidth
5.46x
Need 5.46x A10
AMD MI300X
Compute (FP32-eq)
0.29x
MI300X is 3.41x faster
FP32 Compute
0.29x
MI300X is 3.40x faster
VRAM
0.67x
MI300X has 1.50x more
Memory Bandwidth
0.62x
MI300X has 1.62x more
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
3.93x
Need 3.93x GeForce RTX 4080
FP32 Compute
0.98x
GeForce RTX 4080 is 1.02x faster
VRAM
8.00x
Need 8.00x GeForce RTX 4080
Memory Bandwidth
4.57x
Need 4.57x GeForce RTX 4080

To match 1x AMD MI300X

NVIDIA A10
Compute (FP32-eq)
10.46x
Need 10.46x A10
FP32 Compute
5.22x
Need 5.22x A10
VRAM
8.00x
Need 8.00x A10
Memory Bandwidth
8.83x
Need 8.83x A10
AMD MI250X
Compute (FP32-eq)
3.41x
Need 3.41x MI250X
FP32 Compute
3.40x
Need 3.40x MI250X
VRAM
1.50x
Need 1.50x MI250X
Memory Bandwidth
1.62x
Need 1.62x MI250X
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
13.41x
Need 13.41x GeForce RTX 4080
FP32 Compute
3.35x
Need 3.35x GeForce RTX 4080
VRAM
12.00x
Need 12.00x GeForce RTX 4080
Memory Bandwidth
7.39x
Need 7.39x GeForce RTX 4080

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 MI250X
Compute (FP32-eq)
0.25x
MI250X is 3.93x faster
FP32 Compute
1.02x
Need 1.02x MI250X
VRAM
0.13x
MI250X has 8.00x more
Memory Bandwidth
0.22x
MI250X has 4.57x more
AMD MI300X
Compute (FP32-eq)
0.07x
MI300X is 13.41x faster
FP32 Compute
0.30x
MI300X is 3.35x faster
VRAM
0.08x
MI300X has 12.00x more
Memory Bandwidth
0.14x
MI300X has 7.39x more

Pricing

Price TypeA10MI250XMI300XGeForce RTX 4080
CAPEX (Street Price)—$12,000$35,000—
OPEX (per hour)—$2.00/hr$10.40/hr—
Price per TFLOPs (FP32-eq)—$63$54—