Compare XPUs

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

Select XPUs to Compare

Showing 72 XPUs5 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

Maximum of 5 XPUs can be compared at once. Deselect one to add another.

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 L40SAMD MI250XNVIDIA B200Tenstorrent WormholeGoogle TPU v6e (Trillium)
ArchitectureAda LovelaceCDNA 2BlackwellTensix CoreTrillium
Form FactorPCIeOAMSXMCustom
VRAM48 GB128 GB192 GB24 GB32 GB
Memory Bandwidth864 GB/s3,277 GB/s8,000 GB/s1,600 GB/s
TFLOPs (FP32)91.647.990459
TFLOPs (FP16)7333832,250918
TFLOPs7333832,250364918
TFLOPs (FP8)1,4664,500
TDP350 W560 W1000 W160 W200 W
Launch DateOct 2023Nov 2021Mar 2024Oct 2023May 2024

Efficiency Metrics

MetricL40SMI250XB200WormholeTPU v6e (Trillium)
TFLOPs per Watt (FP32-eq)1.050.341.131.142.29
Memory Bandwidth per GB18.0 GB/s25.6 GB/s41.7 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 L40S

AMD MI250X
Compute (FP32-eq)
1.91x
Need 1.91x MI250X
FP32 Compute
1.91x
Need 1.91x MI250X
VRAM
0.38x
MI250X has 2.67x more
Memory Bandwidth
0.26x
MI250X has 3.79x more
NVIDIA B200
Compute (FP32-eq)
0.33x
B200 is 3.07x faster
FP32 Compute
1.02x
Need 1.02x B200
VRAM
0.25x
B200 has 4.00x more
Memory Bandwidth
0.11x
B200 has 9.26x more
Tenstorrent Wormhole
Compute (FP32-eq)
2.01x
Need 2.01x Wormhole
VRAM
2.00x
Need 2.00x Wormhole
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 AMD MI250X

NVIDIA L40S
Compute (FP32-eq)
0.52x
L40S is 1.91x faster
FP32 Compute
0.52x
L40S is 1.91x faster
VRAM
2.67x
Need 2.67x L40S
Memory Bandwidth
3.79x
Need 3.79x L40S
NVIDIA B200
Compute (FP32-eq)
0.17x
B200 is 5.87x faster
FP32 Compute
0.53x
B200 is 1.88x faster
VRAM
0.67x
B200 has 1.50x more
Memory Bandwidth
0.41x
B200 has 2.44x more
Tenstorrent Wormhole
Compute (FP32-eq)
1.05x
Need 1.05x Wormhole
VRAM
5.33x
Need 5.33x Wormhole
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.42x
TPU v6e (Trillium) is 2.40x faster
FP32 Compute
0.10x
TPU v6e (Trillium) is 9.58x faster
VRAM
4.00x
Need 4.00x TPU v6e (Trillium)
Memory Bandwidth
2.05x
Need 2.05x TPU v6e (Trillium)

To match 1x NVIDIA B200

NVIDIA L40S
Compute (FP32-eq)
3.07x
Need 3.07x L40S
FP32 Compute
0.98x
L40S is 1.02x faster
VRAM
4.00x
Need 4.00x L40S
Memory Bandwidth
9.26x
Need 9.26x L40S
AMD MI250X
Compute (FP32-eq)
5.87x
Need 5.87x MI250X
FP32 Compute
1.88x
Need 1.88x MI250X
VRAM
1.50x
Need 1.50x MI250X
Memory Bandwidth
2.44x
Need 2.44x MI250X
Tenstorrent Wormhole
Compute (FP32-eq)
6.18x
Need 6.18x Wormhole
VRAM
8.00x
Need 8.00x Wormhole
Google TPU v6e (Trillium)
Compute (FP32-eq)
2.45x
Need 2.45x TPU v6e (Trillium)
FP32 Compute
0.20x
TPU v6e (Trillium) is 5.10x faster
VRAM
6.00x
Need 6.00x TPU v6e (Trillium)
Memory Bandwidth
5.00x
Need 5.00x TPU v6e (Trillium)

To match 1x Tenstorrent Wormhole

NVIDIA L40S
Compute (FP32-eq)
0.50x
L40S is 2.01x faster
VRAM
0.50x
L40S has 2.00x more
AMD MI250X
Compute (FP32-eq)
0.95x
MI250X is 1.05x faster
VRAM
0.19x
MI250X has 5.33x more
NVIDIA B200
Compute (FP32-eq)
0.16x
B200 is 6.18x faster
VRAM
0.13x
B200 has 8.00x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.40x
TPU v6e (Trillium) is 2.52x faster
VRAM
0.75x
TPU v6e (Trillium) has 1.33x more

To match 1x Google TPU v6e (Trillium)

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
AMD MI250X
Compute (FP32-eq)
2.40x
Need 2.40x MI250X
FP32 Compute
9.58x
Need 9.58x MI250X
VRAM
0.25x
MI250X has 4.00x more
Memory Bandwidth
0.49x
MI250X has 2.05x more
NVIDIA B200
Compute (FP32-eq)
0.41x
B200 is 2.45x faster
FP32 Compute
5.10x
Need 5.10x B200
VRAM
0.17x
B200 has 6.00x more
Memory Bandwidth
0.20x
B200 has 5.00x more
Tenstorrent Wormhole
Compute (FP32-eq)
2.52x
Need 2.52x Wormhole
VRAM
1.33x
Need 1.33x Wormhole

Pricing

Price TypeL40SMI250XB200WormholeTPU v6e (Trillium)
CAPEX (Street Price)$10,000$12,000$70,000
OPEX (per hour)$1.50/hr$2.00/hr
Price per TFLOPs (FP32-eq)$27$63$62