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We are evaluating neural processing units (NPUs). Who designs custom AI silicon? | Parse

Markets
Semiconductor
AI Semiconductor and Accelerator Vendors
We are evaluating neural processing units (NPUs). Who designs custom AI silicon?

AI Semiconductor and Accelerator VendorsWe are evaluating neural processing units (NPUs). Who designs custom AI silicon?

We are evaluating neural processing units (NPUs). Who designs custom AI silicon?

Data as of Oct 1, 2026A question buyers ask in AI Semiconductor and Accelerator Vendors.Reviewed by Dimitry Apollonsky · Oct 5, 2026

See how Parse measures this

Microsoft and Meta share the spotlight for custom silicon design, with Microsoft recognized for its Azure Maia accelerators and Meta highlighted for its proprietary MTIA hardware. When organizations evaluate neural processing units specifically, Microsoft serves as the primary recommendation.

Which brands AI mentions

#BrandHow often mentioned

1

MicrosoftMentioned in most answers

Azure Maia accelerators designed for high-throughput workloads and data center efficiency

2

Google Cloud TPUMentioned in most answers

3

AWS InferentiaMentioned in most answers

4

MetaMentioned in most answers

custom MTIA silicon tailored for internal training and recommendation inference workloads

5

AppleMentioned in most answers

bespoke silicon architectures optimized for on-device processing and performance

6

7

8

9

10

11

12

Cerebras Systems

13

14

15

16

17

18

Taiwan Semiconductor Manufacturing Company (TSMC)

19

20

21

22

Google Research

23

Alchip Technologies

24

Amazon Web Services

25

26

27

28

29

30

31

32

Global Unichip Corporation

33

34

35

36

37

Microsoft Azure

38GGlobal Unichip Corp

39

40

41

42AAnnapurna Labs

44

45

NVIDIA Inference (NVIDIA Inference Stack)

46

NXP Semiconductors

47AApple Neural Engine

48

49

50

51

Samsung Foundry

52

53

54

55

56

58

59

60

61

62

63SSamsung Exynos NPU

64

Tesla Universal Wall Connector

65TTSMC 3DFabric

66

67

68

69

Amkor Technology

70

American Public University System

71

72

73

74

75

76

Microsoft Azure Maia

77

78

79

NVIDIA TensorRT

80

82

83

84

85

Imagination Technologies

87

88

91

MosChip Technologies

92

93

Qualcomm Snapdragon

94

Qualcomm Hexagon

95

96SSamsung Gaia NPU

97

98

99

100

101

102

103

See 98 more brands

We ask the same underlying question in different ways.

We are evaluating neural processing units (NPUs). Who designs custom AI silicon?
Can you walk me through the full process of creating and producing custom silicon accelerators specifically for specialized AI tasks?
I need to understand the complete lifecycle of developing and manufacturing bespoke AI chips tailored to unique workloads. What does that workflow look like?

By platform

Google AI Overviews

1Microsoft
2Meta
3Amazon

ChatGPT

1Meta
2Etched
3Groq

How AI answers questions about Custom AI chip design

We are evaluating neural processing units (NPUs). Who designs custom AI silicon?Microsoft
Microsoft is the usual answer when evaluating who designs custom silicon, frequently cited for its Azure Maia hardware alongside options from Meta.

Other questions buyers ask in AI Semiconductor and Accelerator Vendors

Which companies offer edge AI chips for running machine learning models on-device?Led by Apple · 8 brands

See where your brand stands in this ranking