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 A40NVIDIA GB200 SuperchipAMD MI300AEtched SohuBaidu Kunlun II
ArchitectureAmpereBlackwellCDNA 3Transformer ASICKunlun Core
Form FactorPCIeSXMOAMPCIe
VRAM48 GB384 GB128 GB144 GB32 GB
Memory Bandwidth696 GB/s8,000 GB/s5,300 GB/s4,800 GB/s
TFLOPs (FP32)37.490122.610,000
TFLOPs (FP16)1505,000980.6256
TFLOPs1505,000980.610,000
TFLOPs (FP8)
TDP300 W2700 W760 W700 W200 W
Launch DateOct 2020Mar 2024Dec 2023Jun 2024Aug 2021

Efficiency Metrics

MetricA40GB200 SuperchipMI300ASohuKunlun II
TFLOPs per Watt (FP32-eq)0.250.930.6514.29
Memory Bandwidth per GB14.5 GB/s20.8 GB/s41.4 GB/s33.3 GB/s

Performance Equivalence

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

To match 1x NVIDIA A40

NVIDIA GB200 Superchip
Compute (FP32-eq)
0.03x
GB200 Superchip is 33.33x faster
FP32 Compute
0.42x
GB200 Superchip is 2.41x faster
VRAM
0.13x
GB200 Superchip has 8.00x more
Memory Bandwidth
0.09x
GB200 Superchip has 11.49x more
AMD MI300A
Compute (FP32-eq)
0.15x
MI300A is 6.54x faster
FP32 Compute
0.31x
MI300A is 3.28x faster
VRAM
0.38x
MI300A has 2.67x more
Memory Bandwidth
0.13x
MI300A has 7.61x more
Etched Sohu
Compute (FP32-eq)
0.01x
Sohu is 133.33x faster
FP32 Compute
0.00x
Sohu is 267.38x faster
VRAM
0.33x
Sohu has 3.00x more
Memory Bandwidth
0.14x
Sohu has 6.90x more
Baidu Kunlun II
VRAM
1.50x
Need 1.50x Kunlun II

To match 1x NVIDIA GB200 Superchip

NVIDIA A40
Compute (FP32-eq)
33.33x
Need 33.33x A40
FP32 Compute
2.41x
Need 2.41x A40
VRAM
8.00x
Need 8.00x A40
Memory Bandwidth
11.49x
Need 11.49x A40
AMD MI300A
Compute (FP32-eq)
5.10x
Need 5.10x MI300A
FP32 Compute
0.73x
MI300A is 1.36x faster
VRAM
3.00x
Need 3.00x MI300A
Memory Bandwidth
1.51x
Need 1.51x MI300A
Etched Sohu
Compute (FP32-eq)
0.25x
Sohu is 4.00x faster
FP32 Compute
0.01x
Sohu is 111.11x faster
VRAM
2.67x
Need 2.67x Sohu
Memory Bandwidth
1.67x
Need 1.67x Sohu
Baidu Kunlun II
VRAM
12.00x
Need 12.00x Kunlun II

To match 1x AMD MI300A

NVIDIA A40
Compute (FP32-eq)
6.54x
Need 6.54x A40
FP32 Compute
3.28x
Need 3.28x A40
VRAM
2.67x
Need 2.67x A40
Memory Bandwidth
7.61x
Need 7.61x A40
NVIDIA GB200 Superchip
Compute (FP32-eq)
0.20x
GB200 Superchip is 5.10x faster
FP32 Compute
1.36x
Need 1.36x GB200 Superchip
VRAM
0.33x
GB200 Superchip has 3.00x more
Memory Bandwidth
0.66x
GB200 Superchip has 1.51x more
Etched Sohu
Compute (FP32-eq)
0.05x
Sohu is 20.40x faster
FP32 Compute
0.01x
Sohu is 81.57x faster
VRAM
0.89x
Sohu has 1.13x more
Memory Bandwidth
1.10x
Need 1.10x Sohu
Baidu Kunlun II
VRAM
4.00x
Need 4.00x Kunlun II

To match 1x Etched Sohu

NVIDIA A40
Compute (FP32-eq)
133.33x
Need 133.33x A40
FP32 Compute
267.38x
Need 267.38x A40
VRAM
3.00x
Need 3.00x A40
Memory Bandwidth
6.90x
Need 6.90x A40
NVIDIA GB200 Superchip
Compute (FP32-eq)
4.00x
Need 4.00x GB200 Superchip
FP32 Compute
111.11x
Need 111.11x GB200 Superchip
VRAM
0.38x
GB200 Superchip has 2.67x more
Memory Bandwidth
0.60x
GB200 Superchip has 1.67x more
AMD MI300A
Compute (FP32-eq)
20.40x
Need 20.40x MI300A
FP32 Compute
81.57x
Need 81.57x MI300A
VRAM
1.13x
Need 1.13x MI300A
Memory Bandwidth
0.91x
MI300A has 1.10x more
Baidu Kunlun II
VRAM
4.50x
Need 4.50x Kunlun II

To match 1x Baidu Kunlun II

NVIDIA A40
VRAM
0.67x
A40 has 1.50x more
NVIDIA GB200 Superchip
VRAM
0.08x
GB200 Superchip has 12.00x more
AMD MI300A
VRAM
0.25x
MI300A has 4.00x more
Etched Sohu
VRAM
0.22x
Sohu has 4.50x more

Pricing

Price TypeA40GB200 SuperchipMI300ASohuKunlun II
CAPEX (Street Price)
OPEX (per hour)
Price per TFLOPs (FP32-eq)