All funding news

Hardware — funding news

7 recent Hardware rounds across our tracked sources.

墨
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墨芯

AI Chip/Hardware

墨芯 builds cost-effective AI chips and hardware to reduce computational expenses for AI workloads.

$140MSeries C
Investor undisclosed
A $140M Series C for a Chinese AI chip startup signals that inference cost reduction is still table stakes—not a solved problem despite all the GPU competition. If you're building AI applications, this matters: the economics of your product depend heavily on whether inference costs keep dropping or plateau, and this round suggests the market still believes there's 2-3x efficiency gains left to capture. Watch whether they're targeting specific workloads (vision, language, etc.) or going broad—that'll tell you if specialized chips are winning or if general-purpose efficiency is the real moat.
蓝
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蓝点触控

Touch Control Technology

蓝点触控 builds touch control technology solutions for hardware manufacturers.

UndisclosedSeries C+
Investor undisclosed
Hark logo
🇺🇸HarkAI Hardware Infrastructure

Hark builds next-generation GPU infrastructure and AI hardware for enterprises scaling large language models.

$700MSeries A
P
Parkway Venture Capital
NVIDIA logoAI
A $700M Series A with chip makers as co-investors signals the GPU shortage narrative has shifted from scarcity to *specialization*—enterprises need custom inference hardware, not just more H100s. If you're building any LLM application layer, this validates that your unit economics depend on hardware partnerships you probably can't negotiate alone yet, so either plan for that dependency or start thinking about how to abstract it away.
Hark logo
🇺🇸HarkAI Hardware Infrastructure

Hark builds next-generation GPU infrastructure and AI hardware for enterprises scaling large language models.

$700M
Investor undisclosed
A $700M raise for GPU infrastructure in May 2026 signals the market still believes there's room for non-NVIDIA players in enterprise LLM deployment—but the co-investment from NVIDIA, AMD, and Intel suggests this is less about disruption and more about carving out a managed-services layer on top of commodity chips. If you're building anything that touches model serving, inference optimization, or enterprise GPU orchestration, this validates that customers will pay for abstraction layers that hide hardware complexity, even if they're not buying the silicon itself.
CircuitHub logo
🇬🇧CircuitHubElectronics Manufacturing

CircuitHub connects electronics designers with manufacturers to streamline PCB and circuit board production.

$28M
Investor undisclosed
A $28M raise for PCB manufacturing logistics signals that hardware supply chain friction is finally worth solving at scale—likely driven by AI chip demand and reshoring trends making lead times unpredictable. CircuitHub is probably using this to expand manufacturing partnerships and build out their matching/fulfillment infrastructure, not just the marketplace. If you're building any hardware-adjacent SaaS (design tools, inventory management, supplier finance), this validates that manufacturers are willing to integrate with new platforms when it saves them sourcing time.
XTEINK logo
🇨🇳XTEINKHardware

Ultra-portable e-paper secondary display devices that attach magnetically to smartphones, featuring AI-enabled capabilities.

$140K
Investor undisclosed
ELEGOO logo
🇨🇳ELEGOO3D Printing & Robotics

ELEGOO is a manufacturer of 3D printers, robotics kits, and electronic learning products.

UndisclosedSeries B+
Investor undisclosed