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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 A100 SXMAMD MI300XNVIDIA H100 PCIeGoogle TPU v6e (Trillium)
ArchitectureAmpereCDNA 3HopperTrillium
Form FactorSXMOAMPCIeCustom
VRAM80 GB192 GB80 GB32 GB
Memory Bandwidth2,039 GB/s5,300 GB/s2,000 GB/s1,600 GB/s
TFLOPs (FP32)19.516351459
TFLOPs (FP16)3121,3071,513918
TFLOPs3121,3071,513918
TFLOPs (FP8)—2,614——
TDP400 W750 W350 W200 W
Launch DateMay 2020Dec 2023Sep 2022May 2024

Efficiency Metrics

MetricA100 SXMMI300XH100 PCIeTPU v6e (Trillium)
TFLOPs per Watt (FP32-eq)0.390.872.162.29
Memory Bandwidth per GB25.5 GB/s27.6 GB/s25.0 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 A100 SXM

AMD MI300X
Compute (FP32-eq)
0.24x
MI300X is 4.19x faster
FP32 Compute
0.12x
MI300X is 8.36x faster
VRAM
0.42x
MI300X has 2.40x more
Memory Bandwidth
0.38x
MI300X has 2.60x more
NVIDIA H100 PCIe
Compute (FP32-eq)
0.21x
H100 PCIe is 4.85x faster
FP32 Compute
0.38x
H100 PCIe is 2.62x faster
VRAM
1.00x
H100 PCIe has 1.00x more
Memory Bandwidth
1.02x
Need 1.02x H100 PCIe
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)

To match 1x AMD MI300X

NVIDIA A100 SXM
Compute (FP32-eq)
4.19x
Need 4.19x A100 SXM
FP32 Compute
8.36x
Need 8.36x A100 SXM
VRAM
2.40x
Need 2.40x A100 SXM
Memory Bandwidth
2.60x
Need 2.60x A100 SXM
NVIDIA H100 PCIe
Compute (FP32-eq)
0.86x
H100 PCIe is 1.16x faster
FP32 Compute
3.20x
Need 3.20x H100 PCIe
VRAM
2.40x
Need 2.40x H100 PCIe
Memory Bandwidth
2.65x
Need 2.65x H100 PCIe
Google TPU v6e (Trillium)
Compute (FP32-eq)
1.42x
Need 1.42x TPU v6e (Trillium)
FP32 Compute
0.36x
TPU v6e (Trillium) is 2.82x faster
VRAM
6.00x
Need 6.00x TPU v6e (Trillium)
Memory Bandwidth
3.31x
Need 3.31x TPU v6e (Trillium)

To match 1x NVIDIA H100 PCIe

NVIDIA A100 SXM
Compute (FP32-eq)
4.85x
Need 4.85x A100 SXM
FP32 Compute
2.62x
Need 2.62x A100 SXM
VRAM
1.00x
A100 SXM has 1.00x more
Memory Bandwidth
0.98x
A100 SXM has 1.02x more
AMD MI300X
Compute (FP32-eq)
1.16x
Need 1.16x MI300X
FP32 Compute
0.31x
MI300X is 3.20x faster
VRAM
0.42x
MI300X has 2.40x more
Memory Bandwidth
0.38x
MI300X has 2.65x more
Google TPU v6e (Trillium)
Compute (FP32-eq)
1.65x
Need 1.65x TPU v6e (Trillium)
FP32 Compute
0.11x
TPU v6e (Trillium) is 9.00x faster
VRAM
2.50x
Need 2.50x TPU v6e (Trillium)
Memory Bandwidth
1.25x
Need 1.25x TPU v6e (Trillium)

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
AMD MI300X
Compute (FP32-eq)
0.70x
MI300X is 1.42x faster
FP32 Compute
2.82x
Need 2.82x MI300X
VRAM
0.17x
MI300X has 6.00x more
Memory Bandwidth
0.30x
MI300X has 3.31x more
NVIDIA H100 PCIe
Compute (FP32-eq)
0.61x
H100 PCIe is 1.65x faster
FP32 Compute
9.00x
Need 9.00x H100 PCIe
VRAM
0.40x
H100 PCIe has 2.50x more
Memory Bandwidth
0.80x
H100 PCIe has 1.25x more

Pricing

Price TypeA100 SXMMI300XH100 PCIeTPU v6e (Trillium)
CAPEX (Street Price)$15,000$35,000——
OPEX (per hour)$4.05/hr$10.40/hr——
Price per TFLOPs (FP32-eq)$96$54——