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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

SpecificationNVIDIA L4NVIDIA A40AMD Radeon PRO W7900Google TPU v6e (Trillium)
ArchitectureAda LovelaceAmpereRDNA 3Trillium
Form FactorPCIePCIePCIeCustom
VRAM24 GB48 GB48 GB32 GB
Memory Bandwidth300 GB/s696 GB/s864 GB/s1,600 GB/s
TFLOPs (FP32)30.337.461459
TFLOPs (FP16)242150122918
TFLOPs121150122918
TFLOPs (FP8)485———
TDP72 W300 W295 W200 W
Launch DateMar 2023Oct 2020Apr 2023May 2024

Efficiency Metrics

MetricL4A40Radeon PRO W7900TPU v6e (Trillium)
TFLOPs per Watt (FP32-eq)0.840.250.212.29
Memory Bandwidth per GB12.5 GB/s14.5 GB/s18.0 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 L4

NVIDIA A40
Compute (FP32-eq)
0.81x
A40 is 1.24x faster
FP32 Compute
0.81x
A40 is 1.23x faster
VRAM
0.50x
A40 has 2.00x more
Memory Bandwidth
0.43x
A40 has 2.32x more
AMD Radeon PRO W7900
Compute (FP32-eq)
0.99x
Radeon PRO W7900 is 1.01x faster
FP32 Compute
0.50x
Radeon PRO W7900 is 2.01x faster
VRAM
0.50x
Radeon PRO W7900 has 2.00x more
Memory Bandwidth
0.35x
Radeon PRO W7900 has 2.88x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.13x
TPU v6e (Trillium) is 7.59x faster
FP32 Compute
0.07x
TPU v6e (Trillium) is 15.15x faster
VRAM
0.75x
TPU v6e (Trillium) has 1.33x more
Memory Bandwidth
0.19x
TPU v6e (Trillium) has 5.33x more

To match 1x NVIDIA A40

NVIDIA L4
Compute (FP32-eq)
1.24x
Need 1.24x L4
FP32 Compute
1.23x
Need 1.23x L4
VRAM
2.00x
Need 2.00x L4
Memory Bandwidth
2.32x
Need 2.32x L4
AMD Radeon PRO W7900
Compute (FP32-eq)
1.23x
Need 1.23x Radeon PRO W7900
FP32 Compute
0.61x
Radeon PRO W7900 is 1.63x faster
VRAM
1.00x
Radeon PRO W7900 has 1.00x more
Memory Bandwidth
0.81x
Radeon PRO W7900 has 1.24x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.16x
TPU v6e (Trillium) is 6.12x faster
FP32 Compute
0.08x
TPU v6e (Trillium) is 12.27x faster
VRAM
1.50x
Need 1.50x TPU v6e (Trillium)
Memory Bandwidth
0.43x
TPU v6e (Trillium) has 2.30x more

To match 1x AMD Radeon PRO W7900

NVIDIA L4
Compute (FP32-eq)
1.01x
Need 1.01x L4
FP32 Compute
2.01x
Need 2.01x L4
VRAM
2.00x
Need 2.00x L4
Memory Bandwidth
2.88x
Need 2.88x L4
NVIDIA A40
Compute (FP32-eq)
0.81x
A40 is 1.23x faster
FP32 Compute
1.63x
Need 1.63x A40
VRAM
1.00x
A40 has 1.00x more
Memory Bandwidth
1.24x
Need 1.24x A40
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.13x
TPU v6e (Trillium) is 7.52x faster
FP32 Compute
0.13x
TPU v6e (Trillium) is 7.52x faster
VRAM
1.50x
Need 1.50x TPU v6e (Trillium)
Memory Bandwidth
0.54x
TPU v6e (Trillium) has 1.85x more

To match 1x Google TPU v6e (Trillium)

NVIDIA L4
Compute (FP32-eq)
7.59x
Need 7.59x L4
FP32 Compute
15.15x
Need 15.15x L4
VRAM
1.33x
Need 1.33x L4
Memory Bandwidth
5.33x
Need 5.33x L4
NVIDIA A40
Compute (FP32-eq)
6.12x
Need 6.12x A40
FP32 Compute
12.27x
Need 12.27x A40
VRAM
0.67x
A40 has 1.50x more
Memory Bandwidth
2.30x
Need 2.30x A40
AMD Radeon PRO W7900
Compute (FP32-eq)
7.52x
Need 7.52x Radeon PRO W7900
FP32 Compute
7.52x
Need 7.52x Radeon PRO W7900
VRAM
0.67x
Radeon PRO W7900 has 1.50x more
Memory Bandwidth
1.85x
Need 1.85x Radeon PRO W7900

Pricing

Price TypeL4A40Radeon PRO W7900TPU v6e (Trillium)
CAPEX (Street Price)$4,000———
OPEX (per hour)$0.80/hr———
Price per TFLOPs (FP32-eq)$66———