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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 A10AMD MI100AMD MI325XGoogle TPU v6e (Trillium)
ArchitectureAmpereCDNACDNA 3.5Trillium
Form FactorPCIePCIeOAMCustom
VRAM24 GB32 GB256 GB32 GB
Memory Bandwidth600 GB/s1,228 GB/s6,000 GB/s1,600 GB/s
TFLOPs (FP32)31.223.1175459
TFLOPs (FP16)125184.61,400918
TFLOPs12523.11,400918
TFLOPs (FP8)——2,800—
TDP150 W300 W800 W200 W
Launch DateApr 2021Nov 2020Oct 2024May 2024

Efficiency Metrics

MetricA10MI100MI325XTPU v6e (Trillium)
TFLOPs per Watt (FP32-eq)0.420.080.882.29
Memory Bandwidth per GB25.0 GB/s38.4 GB/s23.4 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 A10

AMD MI100
Compute (FP32-eq)
2.71x
Need 2.71x MI100
FP32 Compute
1.35x
Need 1.35x MI100
VRAM
0.75x
MI100 has 1.33x more
Memory Bandwidth
0.49x
MI100 has 2.05x more
AMD MI325X
Compute (FP32-eq)
0.09x
MI325X is 11.20x faster
FP32 Compute
0.18x
MI325X is 5.61x faster
VRAM
0.09x
MI325X has 10.67x more
Memory Bandwidth
0.10x
MI325X has 10.00x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.14x
TPU v6e (Trillium) is 7.34x faster
FP32 Compute
0.07x
TPU v6e (Trillium) is 14.71x faster
VRAM
0.75x
TPU v6e (Trillium) has 1.33x more
Memory Bandwidth
0.38x
TPU v6e (Trillium) has 2.67x more

To match 1x AMD MI100

NVIDIA A10
Compute (FP32-eq)
0.37x
A10 is 2.71x faster
FP32 Compute
0.74x
A10 is 1.35x faster
VRAM
1.33x
Need 1.33x A10
Memory Bandwidth
2.05x
Need 2.05x A10
AMD MI325X
Compute (FP32-eq)
0.03x
MI325X is 30.30x faster
FP32 Compute
0.13x
MI325X is 7.58x faster
VRAM
0.13x
MI325X has 8.00x more
Memory Bandwidth
0.20x
MI325X has 4.89x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
0.05x
TPU v6e (Trillium) is 19.87x faster
FP32 Compute
0.05x
TPU v6e (Trillium) is 19.87x faster
VRAM
1.00x
TPU v6e (Trillium) has 1.00x more
Memory Bandwidth
0.77x
TPU v6e (Trillium) has 1.30x more

To match 1x AMD MI325X

NVIDIA A10
Compute (FP32-eq)
11.20x
Need 11.20x A10
FP32 Compute
5.61x
Need 5.61x A10
VRAM
10.67x
Need 10.67x A10
Memory Bandwidth
10.00x
Need 10.00x A10
AMD MI100
Compute (FP32-eq)
30.30x
Need 30.30x MI100
FP32 Compute
7.58x
Need 7.58x MI100
VRAM
8.00x
Need 8.00x MI100
Memory Bandwidth
4.89x
Need 4.89x MI100
Google TPU v6e (Trillium)
Compute (FP32-eq)
1.53x
Need 1.53x TPU v6e (Trillium)
FP32 Compute
0.38x
TPU v6e (Trillium) is 2.62x faster
VRAM
8.00x
Need 8.00x TPU v6e (Trillium)
Memory Bandwidth
3.75x
Need 3.75x TPU v6e (Trillium)

To match 1x Google TPU v6e (Trillium)

NVIDIA A10
Compute (FP32-eq)
7.34x
Need 7.34x A10
FP32 Compute
14.71x
Need 14.71x A10
VRAM
1.33x
Need 1.33x A10
Memory Bandwidth
2.67x
Need 2.67x A10
AMD MI100
Compute (FP32-eq)
19.87x
Need 19.87x MI100
FP32 Compute
19.87x
Need 19.87x MI100
VRAM
1.00x
MI100 has 1.00x more
Memory Bandwidth
1.30x
Need 1.30x MI100
AMD MI325X
Compute (FP32-eq)
0.66x
MI325X is 1.53x faster
FP32 Compute
2.62x
Need 2.62x MI325X
VRAM
0.13x
MI325X has 8.00x more
Memory Bandwidth
0.27x
MI325X has 3.75x more

Pricing

Price TypeA10MI100MI325XTPU v6e (Trillium)
CAPEX (Street Price)——$45,000—
OPEX (per hour)————
Price per TFLOPs (FP32-eq)——$64—