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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 L40SNVIDIA H200 SXMGoogle TPU v6e (Trillium)
ArchitectureAmpereAda LovelaceHopperTrillium
Form FactorSXMPCIeSXMCustom
VRAM80 GB48 GB141 GB32 GB
Memory Bandwidth2,039 GB/s864 GB/s4,800 GB/s1,600 GB/s
TFLOPs (FP32)19.591.667459
TFLOPs (FP16)3127331,979918
TFLOPs3127331,979918
TFLOPs (FP8)—1,4663,958—
TDP400 W350 W700 W200 W
Launch DateMay 2020Oct 2023Nov 2023May 2024

Efficiency Metrics

MetricA100 SXML40SH200 SXMTPU v6e (Trillium)
TFLOPs per Watt (FP32-eq)0.391.051.412.29
Memory Bandwidth per GB25.5 GB/s18.0 GB/s34.0 GB/s50.0 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 L40S
Compute (FP32-eq)
0.43x
L40S is 2.35x faster
FP32 Compute
0.21x
L40S is 4.70x faster
VRAM
1.67x
Need 1.67x L40S
Memory Bandwidth
2.36x
Need 2.36x L40S
NVIDIA H200 SXM
Compute (FP32-eq)
0.16x
H200 SXM is 6.34x faster
FP32 Compute
0.29x
H200 SXM is 3.44x faster
VRAM
0.57x
H200 SXM has 1.76x more
Memory Bandwidth
0.42x
H200 SXM has 2.35x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.34x
TPU v6e (Trillium) is 2.94x faster
FP32 Compute
0.04x
TPU v6e (Trillium) is 23.54x faster
VRAM
2.50x
Need 2.50x TPU v6e (Trillium)
Memory Bandwidth
1.27x
Need 1.27x TPU v6e (Trillium)

To match 1x NVIDIA L40S

NVIDIA A100 SXM
Compute (FP32-eq)
2.35x
Need 2.35x A100 SXM
FP32 Compute
4.70x
Need 4.70x A100 SXM
VRAM
0.60x
A100 SXM has 1.67x more
Memory Bandwidth
0.42x
A100 SXM has 2.36x more
NVIDIA H200 SXM
Compute (FP32-eq)
0.37x
H200 SXM is 2.70x faster
FP32 Compute
1.37x
Need 1.37x H200 SXM
VRAM
0.34x
H200 SXM has 2.94x more
Memory Bandwidth
0.18x
H200 SXM has 5.56x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.80x
TPU v6e (Trillium) is 1.25x faster
FP32 Compute
0.20x
TPU v6e (Trillium) is 5.01x faster
VRAM
1.50x
Need 1.50x TPU v6e (Trillium)
Memory Bandwidth
0.54x
TPU v6e (Trillium) has 1.85x more

To match 1x NVIDIA H200 SXM

NVIDIA A100 SXM
Compute (FP32-eq)
6.34x
Need 6.34x A100 SXM
FP32 Compute
3.44x
Need 3.44x A100 SXM
VRAM
1.76x
Need 1.76x A100 SXM
Memory Bandwidth
2.35x
Need 2.35x A100 SXM
NVIDIA L40S
Compute (FP32-eq)
2.70x
Need 2.70x L40S
FP32 Compute
0.73x
L40S is 1.37x faster
VRAM
2.94x
Need 2.94x L40S
Memory Bandwidth
5.56x
Need 5.56x L40S
Google TPU v6e (Trillium)
Compute (FP32-eq)
2.16x
Need 2.16x TPU v6e (Trillium)
FP32 Compute
0.15x
TPU v6e (Trillium) is 6.85x faster
VRAM
4.41x
Need 4.41x TPU v6e (Trillium)
Memory Bandwidth
3.00x
Need 3.00x TPU v6e (Trillium)

To match 1x Google TPU v6e (Trillium)

NVIDIA A100 SXM
Compute (FP32-eq)
2.94x
Need 2.94x A100 SXM
FP32 Compute
23.54x
Need 23.54x A100 SXM
VRAM
0.40x
A100 SXM has 2.50x more
Memory Bandwidth
0.78x
A100 SXM has 1.27x more
NVIDIA L40S
Compute (FP32-eq)
1.25x
Need 1.25x L40S
FP32 Compute
5.01x
Need 5.01x L40S
VRAM
0.67x
L40S has 1.50x more
Memory Bandwidth
1.85x
Need 1.85x L40S
NVIDIA H200 SXM
Compute (FP32-eq)
0.46x
H200 SXM is 2.16x faster
FP32 Compute
6.85x
Need 6.85x H200 SXM
VRAM
0.23x
H200 SXM has 4.41x more
Memory Bandwidth
0.33x
H200 SXM has 3.00x more

Pricing

Price TypeA100 SXML40SH200 SXMTPU v6e (Trillium)
CAPEX (Street Price)$15,000$10,000$40,000—
OPEX (per hour)$4.05/hr$1.50/hr——
Price per TFLOPs (FP32-eq)$96$27$40—