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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 L4AMD MI250XNVIDIA GeForce RTX 4080AMD MI300A
ArchitectureAda LovelaceCDNA 2Ada LovelaceCDNA 3
Form FactorPCIeOAMPCIeOAM
VRAM24 GB128 GB16 GB128 GB
Memory Bandwidth300 GB/s3,277 GB/s717 GB/s5,300 GB/s
TFLOPs (FP32)30.347.948.7122.6
TFLOPs (FP16)24238397.5980.6
TFLOPs12138397.5980.6
TFLOPs (FP8)485———
TDP72 W560 W320 W760 W
Launch DateMar 2023Nov 2021Nov 2022Dec 2023

Efficiency Metrics

MetricL4MI250XGeForce RTX 4080MI300A
TFLOPs per Watt (FP32-eq)0.840.340.150.65
Memory Bandwidth per GB12.5 GB/s25.6 GB/s44.8 GB/s41.4 GB/s

Performance Equivalence

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

To match 1x NVIDIA L4

AMD MI250X
Compute (FP32-eq)
0.32x
MI250X is 3.17x faster
FP32 Compute
0.63x
MI250X is 1.58x faster
VRAM
0.19x
MI250X has 5.33x more
Memory Bandwidth
0.09x
MI250X has 10.92x more
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
1.24x
Need 1.24x GeForce RTX 4080
FP32 Compute
0.62x
GeForce RTX 4080 is 1.61x faster
VRAM
1.50x
Need 1.50x GeForce RTX 4080
Memory Bandwidth
0.42x
GeForce RTX 4080 has 2.39x more
AMD MI300A
Compute (FP32-eq)
0.12x
MI300A is 8.10x faster
FP32 Compute
0.25x
MI300A is 4.05x faster
VRAM
0.19x
MI300A has 5.33x more
Memory Bandwidth
0.06x
MI300A has 17.67x more

To match 1x AMD MI250X

NVIDIA L4
Compute (FP32-eq)
3.17x
Need 3.17x L4
FP32 Compute
1.58x
Need 1.58x L4
VRAM
5.33x
Need 5.33x L4
Memory Bandwidth
10.92x
Need 10.92x L4
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
AMD MI300A
Compute (FP32-eq)
0.39x
MI300A is 2.56x faster
FP32 Compute
0.39x
MI300A is 2.56x faster
VRAM
1.00x
MI300A has 1.00x more
Memory Bandwidth
0.62x
MI300A has 1.62x more

To match 1x NVIDIA GeForce RTX 4080

NVIDIA L4
Compute (FP32-eq)
0.81x
L4 is 1.24x faster
FP32 Compute
1.61x
Need 1.61x L4
VRAM
0.67x
L4 has 1.50x more
Memory Bandwidth
2.39x
Need 2.39x L4
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 MI300A
Compute (FP32-eq)
0.10x
MI300A is 10.06x faster
FP32 Compute
0.40x
MI300A is 2.52x faster
VRAM
0.13x
MI300A has 8.00x more
Memory Bandwidth
0.14x
MI300A has 7.39x more

To match 1x AMD MI300A

NVIDIA L4
Compute (FP32-eq)
8.10x
Need 8.10x L4
FP32 Compute
4.05x
Need 4.05x L4
VRAM
5.33x
Need 5.33x L4
Memory Bandwidth
17.67x
Need 17.67x L4
AMD MI250X
Compute (FP32-eq)
2.56x
Need 2.56x MI250X
FP32 Compute
2.56x
Need 2.56x MI250X
VRAM
1.00x
MI250X has 1.00x more
Memory Bandwidth
1.62x
Need 1.62x MI250X
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
10.06x
Need 10.06x GeForce RTX 4080
FP32 Compute
2.52x
Need 2.52x GeForce RTX 4080
VRAM
8.00x
Need 8.00x GeForce RTX 4080
Memory Bandwidth
7.39x
Need 7.39x GeForce RTX 4080

Pricing

Price TypeL4MI250XGeForce RTX 4080MI300A
CAPEX (Street Price)$4,000$12,000——
OPEX (per hour)$0.80/hr$2.00/hr——
Price per TFLOPs (FP32-eq)$66$63——