Compare XPUs

Select up to 5 XPUs to compare side-by-side

Select XPUs to Compare

Showing 72 XPUs4 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

SpecificationGoogle TPU v4SambaNova SN40LNVIDIA H100 SXMNVIDIA H200 PCIe
ArchitectureTPU v4Reconfigurable Dataflow Unit (RDU)HopperHopper
Form FactorMezzanineSXMPCIe
VRAM640 GB80 GB141 GB
Memory Bandwidth3,350 GB/s4,800 GB/s
TFLOPs (FP32)6751
TFLOPs (FP16)1,9791,513
TFLOPs2751,9791,513
TFLOPs (FP8)3,958
TDP300 W700 W700 W350 W
Launch DateMay 2021Jan 2024Sep 2022Mar 2024

Efficiency Metrics

MetricTPU v4SN40LH100 SXMH200 PCIe
TFLOPs per Watt (FP32-eq)0.461.412.16
Memory Bandwidth per GB41.9 GB/s34.0 GB/s

Performance Equivalence

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

To match 1x Google TPU v4

NVIDIA H100 SXM
Compute (FP32-eq)
0.14x
H100 SXM is 7.20x faster
NVIDIA H200 PCIe
Compute (FP32-eq)
0.18x
H200 PCIe is 5.50x faster

To match 1x SambaNova SN40L

NVIDIA H100 SXM
VRAM
8.00x
Need 8.00x H100 SXM
NVIDIA H200 PCIe
VRAM
4.54x
Need 4.54x H200 PCIe

To match 1x NVIDIA H100 SXM

Google TPU v4
Compute (FP32-eq)
7.20x
Need 7.20x TPU v4
SambaNova SN40L
VRAM
0.13x
SN40L has 8.00x more
NVIDIA H200 PCIe
Compute (FP32-eq)
1.31x
Need 1.31x H200 PCIe
FP32 Compute
1.31x
Need 1.31x H200 PCIe
VRAM
0.57x
H200 PCIe has 1.76x more
Memory Bandwidth
0.70x
H200 PCIe has 1.43x more

To match 1x NVIDIA H200 PCIe

Google TPU v4
Compute (FP32-eq)
5.50x
Need 5.50x TPU v4
SambaNova SN40L
VRAM
0.22x
SN40L has 4.54x more
NVIDIA H100 SXM
Compute (FP32-eq)
0.76x
H100 SXM is 1.31x faster
FP32 Compute
0.76x
H100 SXM is 1.31x faster
VRAM
1.76x
Need 1.76x H100 SXM
Memory Bandwidth
1.43x
Need 1.43x H100 SXM

Pricing

Price TypeTPU v4SN40LH100 SXMH200 PCIe
CAPEX (Street Price)$30,000
OPEX (per hour)$3.00/hr$3.50/hr
Price per TFLOPs (FP32-eq)$30