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

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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 MI250XAMD MI100AWS Inferentia2Rebellions ATOMGoogle TPU v6e (Trillium)
ArchitectureCDNA 2CDNAInferentia Gen2Rebellions NPUTrillium
Form FactorOAMPCIeCustom
VRAM128 GB32 GB32 GB32 GB
Memory Bandwidth3,277 GB/s1,228 GB/s1,600 GB/s
TFLOPs (FP32)47.923.1459
TFLOPs (FP16)383184.6918
TFLOPs38323.1190918
TFLOPs (FP8)
TDP560 W300 W150 W200 W200 W
Launch DateNov 2021Nov 2020Nov 2022Jun 2023May 2024

Efficiency Metrics

MetricMI250XMI100Inferentia2ATOMTPU v6e (Trillium)
TFLOPs per Watt (FP32-eq)0.340.080.632.29
Memory Bandwidth per GB25.6 GB/s38.4 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 AMD MI250X

AMD MI100
Compute (FP32-eq)
8.29x
Need 8.29x MI100
FP32 Compute
2.07x
Need 2.07x MI100
VRAM
4.00x
Need 4.00x MI100
Memory Bandwidth
2.67x
Need 2.67x MI100
AWS Inferentia2
Compute (FP32-eq)
2.02x
Need 2.02x Inferentia2
VRAM
4.00x
Need 4.00x Inferentia2
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 AMD MI100

AMD MI250X
Compute (FP32-eq)
0.12x
MI250X is 8.29x faster
FP32 Compute
0.48x
MI250X is 2.07x faster
VRAM
0.25x
MI250X has 4.00x more
Memory Bandwidth
0.37x
MI250X has 2.67x more
AWS Inferentia2
Compute (FP32-eq)
0.24x
Inferentia2 is 4.11x faster
VRAM
1.00x
Inferentia2 has 1.00x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.05x
TPU v6e (Trillium) is 19.87x faster
FP32 Compute
0.05x
TPU v6e (Trillium) is 19.87x faster
VRAM
1.00x
TPU v6e (Trillium) has 1.00x more
Memory Bandwidth
0.77x
TPU v6e (Trillium) has 1.30x more

To match 1x AWS Inferentia2

AMD MI250X
Compute (FP32-eq)
0.50x
MI250X is 2.02x faster
VRAM
0.25x
MI250X has 4.00x more
AMD MI100
Compute (FP32-eq)
4.11x
Need 4.11x MI100
VRAM
1.00x
MI100 has 1.00x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.21x
TPU v6e (Trillium) is 4.83x faster
VRAM
1.00x
TPU v6e (Trillium) has 1.00x more

To match 1x Google TPU v6e (Trillium)

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
AMD MI100
Compute (FP32-eq)
19.87x
Need 19.87x MI100
FP32 Compute
19.87x
Need 19.87x MI100
VRAM
1.00x
MI100 has 1.00x more
Memory Bandwidth
1.30x
Need 1.30x MI100
AWS Inferentia2
Compute (FP32-eq)
4.83x
Need 4.83x Inferentia2
VRAM
1.00x
Inferentia2 has 1.00x more

Pricing

Price TypeMI250XMI100Inferentia2ATOMTPU v6e (Trillium)
CAPEX (Street Price)$12,000
OPEX (per hour)$2.00/hr
Price per TFLOPs (FP32-eq)$63