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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 A40AMD MI250XNVIDIA GeForce RTX 5080Google TPU v6e (Trillium)
ArchitectureAmpereCDNA 2BlackwellTrillium
Form FactorPCIeOAMPCIeCustom
VRAM48 GB128 GB16 GB32 GB
Memory Bandwidth696 GB/s3,277 GB/s960 GB/s1,600 GB/s
TFLOPs (FP32)37.447.956.28459
TFLOPs (FP16)150383112.6918
TFLOPs150383112.6918
TFLOPs (FP8)————
TDP300 W560 W360 W200 W
Launch DateOct 2020Nov 2021Jan 2025May 2024

Efficiency Metrics

MetricA40MI250XGeForce RTX 5080TPU v6e (Trillium)
TFLOPs per Watt (FP32-eq)0.250.340.162.29
Memory Bandwidth per GB14.5 GB/s25.6 GB/s60.0 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 A40

AMD MI250X
Compute (FP32-eq)
0.39x
MI250X is 2.55x faster
FP32 Compute
0.78x
MI250X is 1.28x faster
VRAM
0.38x
MI250X has 2.67x more
Memory Bandwidth
0.21x
MI250X has 4.71x more
NVIDIA GeForce RTX 5080
Compute (FP32-eq)
1.33x
Need 1.33x GeForce RTX 5080
FP32 Compute
0.66x
GeForce RTX 5080 is 1.50x faster
VRAM
3.00x
Need 3.00x GeForce RTX 5080
Memory Bandwidth
0.72x
GeForce RTX 5080 has 1.38x 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 MI250X

NVIDIA A40
Compute (FP32-eq)
2.55x
Need 2.55x A40
FP32 Compute
1.28x
Need 1.28x A40
VRAM
2.67x
Need 2.67x A40
Memory Bandwidth
4.71x
Need 4.71x A40
NVIDIA GeForce RTX 5080
Compute (FP32-eq)
3.40x
Need 3.40x GeForce RTX 5080
FP32 Compute
0.85x
GeForce RTX 5080 is 1.17x faster
VRAM
8.00x
Need 8.00x GeForce RTX 5080
Memory Bandwidth
3.41x
Need 3.41x GeForce RTX 5080
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 NVIDIA GeForce RTX 5080

NVIDIA A40
Compute (FP32-eq)
0.75x
A40 is 1.33x faster
FP32 Compute
1.50x
Need 1.50x A40
VRAM
0.33x
A40 has 3.00x more
Memory Bandwidth
1.38x
Need 1.38x A40
AMD MI250X
Compute (FP32-eq)
0.29x
MI250X is 3.40x faster
FP32 Compute
1.17x
Need 1.17x MI250X
VRAM
0.13x
MI250X has 8.00x more
Memory Bandwidth
0.29x
MI250X has 3.41x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.12x
TPU v6e (Trillium) is 8.15x faster
FP32 Compute
0.12x
TPU v6e (Trillium) is 8.16x faster
VRAM
0.50x
TPU v6e (Trillium) has 2.00x more
Memory Bandwidth
0.60x
TPU v6e (Trillium) has 1.67x more

To match 1x Google TPU v6e (Trillium)

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 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
NVIDIA GeForce RTX 5080
Compute (FP32-eq)
8.15x
Need 8.15x GeForce RTX 5080
FP32 Compute
8.16x
Need 8.16x GeForce RTX 5080
VRAM
2.00x
Need 2.00x GeForce RTX 5080
Memory Bandwidth
1.67x
Need 1.67x GeForce RTX 5080

Pricing

Price TypeA40MI250XGeForce RTX 5080TPU v6e (Trillium)
CAPEX (Street Price)—$12,000——
OPEX (per hour)—$2.00/hr——
Price per TFLOPs (FP32-eq)—$63——