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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

SpecificationMicrosoft Maia 100NVIDIA GB200 SuperchipNVIDIA GeForce RTX 4080Etched Sohu
ArchitectureMaiaBlackwellAda LovelaceTransformer ASIC
Form Factor—SXMPCIePCIe
VRAM64 GB384 GB16 GB144 GB
Memory Bandwidth—8,000 GB/s717 GB/s4,800 GB/s
TFLOPs (FP32)—9048.710,000
TFLOPs (FP16)—5,00097.5—
TFLOPs7005,00097.510,000
TFLOPs (FP8)————
TDP500 W2700 W320 W700 W
Launch DateNov 2023Mar 2024Nov 2022Jun 2024

Efficiency Metrics

MetricMaia 100GB200 SuperchipGeForce RTX 4080Sohu
TFLOPs per Watt (FP32-eq)0.700.930.1514.29
Memory Bandwidth per GB—20.8 GB/s44.8 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 Microsoft Maia 100

NVIDIA GB200 Superchip
Compute (FP32-eq)
0.14x
GB200 Superchip is 7.14x faster
VRAM
0.17x
GB200 Superchip has 6.00x more
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
7.18x
Need 7.18x GeForce RTX 4080
VRAM
4.00x
Need 4.00x GeForce RTX 4080
Etched Sohu
Compute (FP32-eq)
0.04x
Sohu is 28.57x faster
VRAM
0.44x
Sohu has 2.25x more

To match 1x NVIDIA GB200 Superchip

Microsoft Maia 100
Compute (FP32-eq)
7.14x
Need 7.14x Maia 100
VRAM
6.00x
Need 6.00x Maia 100
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
51.28x
Need 51.28x GeForce RTX 4080
FP32 Compute
1.85x
Need 1.85x GeForce RTX 4080
VRAM
24.00x
Need 24.00x GeForce RTX 4080
Memory Bandwidth
11.16x
Need 11.16x GeForce RTX 4080
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

To match 1x NVIDIA GeForce RTX 4080

Microsoft Maia 100
Compute (FP32-eq)
0.14x
Maia 100 is 7.18x faster
VRAM
0.25x
Maia 100 has 4.00x more
NVIDIA GB200 Superchip
Compute (FP32-eq)
0.02x
GB200 Superchip is 51.28x faster
FP32 Compute
0.54x
GB200 Superchip is 1.85x faster
VRAM
0.04x
GB200 Superchip has 24.00x more
Memory Bandwidth
0.09x
GB200 Superchip has 11.16x more
Etched Sohu
Compute (FP32-eq)
0.00x
Sohu is 205.13x faster
FP32 Compute
0.00x
Sohu is 205.34x faster
VRAM
0.11x
Sohu has 9.00x more
Memory Bandwidth
0.15x
Sohu has 6.69x more

To match 1x Etched Sohu

Microsoft Maia 100
Compute (FP32-eq)
28.57x
Need 28.57x Maia 100
VRAM
2.25x
Need 2.25x Maia 100
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
NVIDIA GeForce RTX 4080
Compute (FP32-eq)
205.13x
Need 205.13x GeForce RTX 4080
FP32 Compute
205.34x
Need 205.34x GeForce RTX 4080
VRAM
9.00x
Need 9.00x GeForce RTX 4080
Memory Bandwidth
6.69x
Need 6.69x GeForce RTX 4080

Pricing

Price TypeMaia 100GB200 SuperchipGeForce RTX 4080Sohu
CAPEX (Street Price)————
OPEX (per hour)————
Price per TFLOPs (FP32-eq)————