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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 A100 SXMNVIDIA H100 SXMAMD MI300AQualcomm Cloud AI 100
ArchitectureAmpereHopperCDNA 3Qualcomm AI
Form FactorSXMSXMOAMPCIe
VRAM80 GB80 GB128 GB16 GB
Memory Bandwidth2,039 GB/s3,350 GB/s5,300 GB/s134 GB/s
TFLOPs (FP32)19.567122.650
TFLOPs (FP16)3121,979980.6400
TFLOPs3121,979980.650
TFLOPs (FP8)—3,958——
TDP400 W700 W760 W75 W
Launch DateMay 2020Sep 2022Dec 2023Sep 2020

Efficiency Metrics

MetricA100 SXMH100 SXMMI300ACloud AI 100
TFLOPs per Watt (FP32-eq)0.391.410.650.67
Memory Bandwidth per GB25.5 GB/s41.9 GB/s41.4 GB/s8.4 GB/s

Performance Equivalence

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

To match 1x NVIDIA A100 SXM

NVIDIA H100 SXM
Compute (FP32-eq)
0.16x
H100 SXM is 6.34x faster
FP32 Compute
0.29x
H100 SXM is 3.44x faster
VRAM
1.00x
H100 SXM has 1.00x more
Memory Bandwidth
0.61x
H100 SXM has 1.64x more
AMD MI300A
Compute (FP32-eq)
0.32x
MI300A is 3.14x faster
FP32 Compute
0.16x
MI300A is 6.29x faster
VRAM
0.63x
MI300A has 1.60x more
Memory Bandwidth
0.38x
MI300A has 2.60x more
Qualcomm Cloud AI 100
Compute (FP32-eq)
3.12x
Need 3.12x Cloud AI 100
FP32 Compute
0.39x
Cloud AI 100 is 2.56x faster
VRAM
5.00x
Need 5.00x Cloud AI 100
Memory Bandwidth
15.22x
Need 15.22x Cloud AI 100

To match 1x NVIDIA H100 SXM

NVIDIA A100 SXM
Compute (FP32-eq)
6.34x
Need 6.34x A100 SXM
FP32 Compute
3.44x
Need 3.44x A100 SXM
VRAM
1.00x
A100 SXM has 1.00x more
Memory Bandwidth
1.64x
Need 1.64x A100 SXM
AMD MI300A
Compute (FP32-eq)
2.02x
Need 2.02x MI300A
FP32 Compute
0.55x
MI300A is 1.83x faster
VRAM
0.63x
MI300A has 1.60x more
Memory Bandwidth
0.63x
MI300A has 1.58x more
Qualcomm Cloud AI 100
Compute (FP32-eq)
19.79x
Need 19.79x Cloud AI 100
FP32 Compute
1.34x
Need 1.34x Cloud AI 100
VRAM
5.00x
Need 5.00x Cloud AI 100
Memory Bandwidth
25.00x
Need 25.00x Cloud AI 100

To match 1x AMD MI300A

NVIDIA A100 SXM
Compute (FP32-eq)
3.14x
Need 3.14x A100 SXM
FP32 Compute
6.29x
Need 6.29x A100 SXM
VRAM
1.60x
Need 1.60x A100 SXM
Memory Bandwidth
2.60x
Need 2.60x A100 SXM
NVIDIA H100 SXM
Compute (FP32-eq)
0.50x
H100 SXM is 2.02x faster
FP32 Compute
1.83x
Need 1.83x H100 SXM
VRAM
1.60x
Need 1.60x H100 SXM
Memory Bandwidth
1.58x
Need 1.58x H100 SXM
Qualcomm Cloud AI 100
Compute (FP32-eq)
9.81x
Need 9.81x Cloud AI 100
FP32 Compute
2.45x
Need 2.45x Cloud AI 100
VRAM
8.00x
Need 8.00x Cloud AI 100
Memory Bandwidth
39.55x
Need 39.55x Cloud AI 100

To match 1x Qualcomm Cloud AI 100

NVIDIA A100 SXM
Compute (FP32-eq)
0.32x
A100 SXM is 3.12x faster
FP32 Compute
2.56x
Need 2.56x A100 SXM
VRAM
0.20x
A100 SXM has 5.00x more
Memory Bandwidth
0.07x
A100 SXM has 15.22x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.05x
H100 SXM is 19.79x faster
FP32 Compute
0.75x
H100 SXM is 1.34x faster
VRAM
0.20x
H100 SXM has 5.00x more
Memory Bandwidth
0.04x
H100 SXM has 25.00x more
AMD MI300A
Compute (FP32-eq)
0.10x
MI300A is 9.81x faster
FP32 Compute
0.41x
MI300A is 2.45x faster
VRAM
0.13x
MI300A has 8.00x more
Memory Bandwidth
0.03x
MI300A has 39.55x more

Pricing

Price TypeA100 SXMH100 SXMMI300ACloud AI 100
CAPEX (Street Price)$15,000$30,000——
OPEX (per hour)$4.05/hr$3.50/hr——
Price per TFLOPs (FP32-eq)$96$30——