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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

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

Specification	AMD MI100	NVIDIA B200	Rebellions ATOM	NVIDIA GB200 Superchip
Architecture	CDNA	Blackwell	Rebellions NPU	Blackwell
Form Factor	PCIe	SXM	—	SXM
VRAM	32 GB	192 GB	—	384 GB
Memory Bandwidth	1,228 GB/s	8,000 GB/s	—	8,000 GB/s
TFLOPs (FP32)	23.1	90	—	90
TFLOPs (FP16)	184.6	2,250	—	5,000
TFLOPs	23.1	2,250	—	5,000
TFLOPs (FP8)	—	4,500	—	—
TDP	300 W	1000 W	200 W	2700 W
Launch Date	Nov 2020	Mar 2024	Jun 2023	Mar 2024

Efficiency Metrics

Metric	MI100	B200	ATOM	GB200 Superchip
TFLOPs per Watt (FP32-eq)	0.08	1.13	—	0.93
Memory Bandwidth per GB	38.4 GB/s	41.7 GB/s	—	20.8 GB/s

Performance Equivalence

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

To match 1x AMD MI100

NVIDIA B200

Compute (FP32-eq)

0.02x

B200 is 48.70x faster

FP32 Compute

0.26x

B200 is 3.90x faster

VRAM

0.17x

B200 has 6.00x more

Memory Bandwidth

0.15x

B200 has 6.51x more

NVIDIA GB200 Superchip

Compute (FP32-eq)

0.01x

GB200 Superchip is 108.23x faster

FP32 Compute

0.26x

GB200 Superchip is 3.90x faster

VRAM

0.08x

GB200 Superchip has 12.00x more

Memory Bandwidth

0.15x

GB200 Superchip has 6.51x more

To match 1x NVIDIA B200

AMD MI100

Compute (FP32-eq)

48.70x

Need 48.70x MI100

FP32 Compute

3.90x

Need 3.90x MI100

VRAM

6.00x

Need 6.00x MI100

Memory Bandwidth

6.51x

Need 6.51x MI100

NVIDIA GB200 Superchip

Compute (FP32-eq)

0.45x

GB200 Superchip is 2.22x faster

FP32 Compute

1.00x

GB200 Superchip is 1.00x faster

VRAM

0.50x

GB200 Superchip has 2.00x more

Memory Bandwidth

1.00x

GB200 Superchip has 1.00x more

To match 1x NVIDIA GB200 Superchip

AMD MI100

Compute (FP32-eq)

108.23x

Need 108.23x MI100

FP32 Compute

3.90x

Need 3.90x MI100

VRAM

12.00x

Need 12.00x MI100

Memory Bandwidth

6.51x

Need 6.51x MI100

NVIDIA B200

Compute (FP32-eq)

2.22x

Need 2.22x B200

FP32 Compute

1.00x

B200 is 1.00x faster

VRAM

2.00x

Need 2.00x B200

Memory Bandwidth

1.00x

B200 has 1.00x more

Pricing

Price Type	MI100	B200	ATOM	GB200 Superchip
CAPEX (Street Price)	—	$70,000	—	—
OPEX (per hour)	—	—	—	—
Price per TFLOPs (FP32-eq)	—	$62	—	—