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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 B200AWS Trainium2NVIDIA GeForce RTX 5070 TiAMD MI300A
ArchitectureBlackwellTrainium Gen2BlackwellCDNA 3
Form FactorSXM—PCIeOAM
VRAM192 GB—16 GB128 GB
Memory Bandwidth8,000 GB/s—896 GB/s5,300 GB/s
TFLOPs (FP32)90—44122.6
TFLOPs (FP16)2,250—88980.6
TFLOPs2,25068088980.6
TFLOPs (FP8)4,500———
TDP1000 W300 W300 W760 W
Launch DateMar 2024Nov 2023Feb 2025Dec 2023

Efficiency Metrics

MetricB200Trainium2GeForce RTX 5070 TiMI300A
TFLOPs per Watt (FP32-eq)1.131.130.150.65
Memory Bandwidth per GB41.7 GB/s—56.0 GB/s41.4 GB/s

Performance Equivalence

How many units of each GPU are needed to match the performance of the others?

To match 1x NVIDIA B200

AWS Trainium2
Compute (FP32-eq)
3.31x
Need 3.31x Trainium2
NVIDIA GeForce RTX 5070 Ti
Compute (FP32-eq)
25.57x
Need 25.57x GeForce RTX 5070 Ti
FP32 Compute
2.05x
Need 2.05x GeForce RTX 5070 Ti
VRAM
12.00x
Need 12.00x GeForce RTX 5070 Ti
Memory Bandwidth
8.93x
Need 8.93x GeForce RTX 5070 Ti
AMD MI300A
Compute (FP32-eq)
2.29x
Need 2.29x MI300A
FP32 Compute
0.73x
MI300A is 1.36x faster
VRAM
1.50x
Need 1.50x MI300A
Memory Bandwidth
1.51x
Need 1.51x MI300A

To match 1x AWS Trainium2

NVIDIA B200
Compute (FP32-eq)
0.30x
B200 is 3.31x faster
NVIDIA GeForce RTX 5070 Ti
Compute (FP32-eq)
7.73x
Need 7.73x GeForce RTX 5070 Ti
AMD MI300A
Compute (FP32-eq)
0.69x
MI300A is 1.44x faster

To match 1x NVIDIA GeForce RTX 5070 Ti

NVIDIA B200
Compute (FP32-eq)
0.04x
B200 is 25.57x faster
FP32 Compute
0.49x
B200 is 2.05x faster
VRAM
0.08x
B200 has 12.00x more
Memory Bandwidth
0.11x
B200 has 8.93x more
AWS Trainium2
Compute (FP32-eq)
0.13x
Trainium2 is 7.73x faster
AMD MI300A
Compute (FP32-eq)
0.09x
MI300A is 11.14x faster
FP32 Compute
0.36x
MI300A is 2.79x faster
VRAM
0.13x
MI300A has 8.00x more
Memory Bandwidth
0.17x
MI300A has 5.92x more

To match 1x AMD MI300A

NVIDIA B200
Compute (FP32-eq)
0.44x
B200 is 2.29x faster
FP32 Compute
1.36x
Need 1.36x B200
VRAM
0.67x
B200 has 1.50x more
Memory Bandwidth
0.66x
B200 has 1.51x more
AWS Trainium2
Compute (FP32-eq)
1.44x
Need 1.44x Trainium2
NVIDIA GeForce RTX 5070 Ti
Compute (FP32-eq)
11.14x
Need 11.14x GeForce RTX 5070 Ti
FP32 Compute
2.79x
Need 2.79x GeForce RTX 5070 Ti
VRAM
8.00x
Need 8.00x GeForce RTX 5070 Ti
Memory Bandwidth
5.92x
Need 5.92x GeForce RTX 5070 Ti

Pricing

Price TypeB200Trainium2GeForce RTX 5070 TiMI300A
CAPEX (Street Price)$70,000———
OPEX (per hour)—$1.34/hr——
Price per TFLOPs (FP32-eq)$62———