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

SpecificationNVIDIA A100 SXMNVIDIA GB200 SuperchipGoogle TPU v6e (Trillium)Etched Sohu
ArchitectureAmpereBlackwellTrilliumTransformer ASIC
Form FactorSXMSXMCustomPCIe
VRAM80 GB384 GB32 GB144 GB
Memory Bandwidth2,039 GB/s8,000 GB/s1,600 GB/s4,800 GB/s
TFLOPs (FP32)19.59045910,000
TFLOPs (FP16)3125,000918
TFLOPs3125,00091810,000
TFLOPs (FP8)
TDP400 W2700 W200 W700 W
Launch DateMay 2020Mar 2024May 2024Jun 2024

Efficiency Metrics

MetricA100 SXMGB200 SuperchipTPU v6e (Trillium)Sohu
TFLOPs per Watt (FP32-eq)0.390.932.2914.29
Memory Bandwidth per GB25.5 GB/s20.8 GB/s50.0 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 A100 SXM

NVIDIA GB200 Superchip
Compute (FP32-eq)
0.06x
GB200 Superchip is 16.03x faster
FP32 Compute
0.22x
GB200 Superchip is 4.62x faster
VRAM
0.21x
GB200 Superchip has 4.80x more
Memory Bandwidth
0.25x
GB200 Superchip has 3.92x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.34x
TPU v6e (Trillium) is 2.94x faster
FP32 Compute
0.04x
TPU v6e (Trillium) is 23.54x faster
VRAM
2.50x
Need 2.50x TPU v6e (Trillium)
Memory Bandwidth
1.27x
Need 1.27x TPU v6e (Trillium)
Etched Sohu
Compute (FP32-eq)
0.02x
Sohu is 64.10x faster
FP32 Compute
0.00x
Sohu is 512.82x faster
VRAM
0.56x
Sohu has 1.80x more
Memory Bandwidth
0.42x
Sohu has 2.35x more

To match 1x NVIDIA GB200 Superchip

NVIDIA A100 SXM
Compute (FP32-eq)
16.03x
Need 16.03x A100 SXM
FP32 Compute
4.62x
Need 4.62x A100 SXM
VRAM
4.80x
Need 4.80x A100 SXM
Memory Bandwidth
3.92x
Need 3.92x A100 SXM
Google TPU v6e (Trillium)
Compute (FP32-eq)
5.45x
Need 5.45x TPU v6e (Trillium)
FP32 Compute
0.20x
TPU v6e (Trillium) is 5.10x faster
VRAM
12.00x
Need 12.00x TPU v6e (Trillium)
Memory Bandwidth
5.00x
Need 5.00x TPU v6e (Trillium)
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 Google TPU v6e (Trillium)

NVIDIA A100 SXM
Compute (FP32-eq)
2.94x
Need 2.94x A100 SXM
FP32 Compute
23.54x
Need 23.54x A100 SXM
VRAM
0.40x
A100 SXM has 2.50x more
Memory Bandwidth
0.78x
A100 SXM has 1.27x more
NVIDIA GB200 Superchip
Compute (FP32-eq)
0.18x
GB200 Superchip is 5.45x faster
FP32 Compute
5.10x
Need 5.10x GB200 Superchip
VRAM
0.08x
GB200 Superchip has 12.00x more
Memory Bandwidth
0.20x
GB200 Superchip has 5.00x more
Etched Sohu
Compute (FP32-eq)
0.05x
Sohu is 21.79x faster
FP32 Compute
0.05x
Sohu is 21.79x faster
VRAM
0.22x
Sohu has 4.50x more
Memory Bandwidth
0.33x
Sohu has 3.00x more

To match 1x Etched Sohu

NVIDIA A100 SXM
Compute (FP32-eq)
64.10x
Need 64.10x A100 SXM
FP32 Compute
512.82x
Need 512.82x A100 SXM
VRAM
1.80x
Need 1.80x A100 SXM
Memory Bandwidth
2.35x
Need 2.35x A100 SXM
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
Google TPU v6e (Trillium)
Compute (FP32-eq)
21.79x
Need 21.79x TPU v6e (Trillium)
FP32 Compute
21.79x
Need 21.79x TPU v6e (Trillium)
VRAM
4.50x
Need 4.50x TPU v6e (Trillium)
Memory Bandwidth
3.00x
Need 3.00x TPU v6e (Trillium)

Pricing

Price TypeA100 SXMGB200 SuperchipTPU v6e (Trillium)Sohu
CAPEX (Street Price)$15,000
OPEX (per hour)$4.05/hr
Price per TFLOPs (FP32-eq)$96