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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 H100 SXMAMD MI300XNVIDIA GeForce RTX 4080 Super
ArchitectureCDNA 2HopperCDNA 3Ada Lovelace
Form FactorOAMSXMOAMPCIe
VRAM128 GB80 GB192 GB16 GB
Memory Bandwidth3,277 GB/s3,350 GB/s5,300 GB/s736 GB/s
TFLOPs (FP32)47.96716352.2
TFLOPs (FP16)3831,9791,307104.4
TFLOPs3831,9791,307104.4
TFLOPs (FP8)—3,9582,614—
TDP560 W700 W750 W320 W
Launch DateNov 2021Sep 2022Dec 2023Jan 2024

Efficiency Metrics

MetricMI250XH100 SXMMI300XGeForce RTX 4080 Super
TFLOPs per Watt (FP32-eq)0.341.410.870.16
Memory Bandwidth per GB25.6 GB/s41.9 GB/s27.6 GB/s46.0 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 H100 SXM
Compute (FP32-eq)
0.19x
H100 SXM is 5.17x faster
FP32 Compute
0.71x
H100 SXM is 1.40x faster
VRAM
1.60x
Need 1.60x H100 SXM
Memory Bandwidth
0.98x
H100 SXM has 1.02x more
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 Super
Compute (FP32-eq)
3.67x
Need 3.67x GeForce RTX 4080 Super
FP32 Compute
0.92x
GeForce RTX 4080 Super is 1.09x faster
VRAM
8.00x
Need 8.00x GeForce RTX 4080 Super
Memory Bandwidth
4.45x
Need 4.45x GeForce RTX 4080 Super

To match 1x NVIDIA H100 SXM

AMD MI250X
Compute (FP32-eq)
5.17x
Need 5.17x MI250X
FP32 Compute
1.40x
Need 1.40x MI250X
VRAM
0.63x
MI250X has 1.60x more
Memory Bandwidth
1.02x
Need 1.02x MI250X
AMD MI300X
Compute (FP32-eq)
1.51x
Need 1.51x MI300X
FP32 Compute
0.41x
MI300X is 2.43x faster
VRAM
0.42x
MI300X has 2.40x more
Memory Bandwidth
0.63x
MI300X has 1.58x more
NVIDIA GeForce RTX 4080 Super
Compute (FP32-eq)
18.96x
Need 18.96x GeForce RTX 4080 Super
FP32 Compute
1.28x
Need 1.28x GeForce RTX 4080 Super
VRAM
5.00x
Need 5.00x GeForce RTX 4080 Super
Memory Bandwidth
4.55x
Need 4.55x GeForce RTX 4080 Super

To match 1x AMD MI300X

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 H100 SXM
Compute (FP32-eq)
0.66x
H100 SXM is 1.51x faster
FP32 Compute
2.43x
Need 2.43x H100 SXM
VRAM
2.40x
Need 2.40x H100 SXM
Memory Bandwidth
1.58x
Need 1.58x H100 SXM
NVIDIA GeForce RTX 4080 Super
Compute (FP32-eq)
12.52x
Need 12.52x GeForce RTX 4080 Super
FP32 Compute
3.12x
Need 3.12x GeForce RTX 4080 Super
VRAM
12.00x
Need 12.00x GeForce RTX 4080 Super
Memory Bandwidth
7.20x
Need 7.20x GeForce RTX 4080 Super

To match 1x NVIDIA GeForce RTX 4080 Super

AMD MI250X
Compute (FP32-eq)
0.27x
MI250X is 3.67x faster
FP32 Compute
1.09x
Need 1.09x MI250X
VRAM
0.13x
MI250X has 8.00x more
Memory Bandwidth
0.22x
MI250X has 4.45x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.05x
H100 SXM is 18.96x faster
FP32 Compute
0.78x
H100 SXM is 1.28x faster
VRAM
0.20x
H100 SXM has 5.00x more
Memory Bandwidth
0.22x
H100 SXM has 4.55x more
AMD MI300X
Compute (FP32-eq)
0.08x
MI300X is 12.52x faster
FP32 Compute
0.32x
MI300X is 3.12x faster
VRAM
0.08x
MI300X has 12.00x more
Memory Bandwidth
0.14x
MI300X has 7.20x more

Pricing

Price TypeMI250XH100 SXMMI300XGeForce RTX 4080 Super
CAPEX (Street Price)$12,000$30,000$35,000—
OPEX (per hour)$2.00/hr$3.50/hr$10.40/hr—
Price per TFLOPs (FP32-eq)$63$30$54—