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Nvidia Teams With Menlo Micro to Speed Up AI Chip Testing and Escape a Production Crunch

MarketDash Editorial Team
18 days ago
As Nvidia prepares to report earnings with half a trillion dollars in future orders on the books, a partnership with startup Menlo Micro is cutting AI chip testing time by up to 90%, helping ease a critical production bottleneck that's been slowing down the chip giant's ability to meet surging demand.

All eyes are on Nvidia Corp. (NVDA) this week as the AI chip powerhouse prepares to report earnings. But behind the headline numbers sits an interesting story about how even the most advanced technology companies can get tripped up by unglamorous bottlenecks—and how they fix them.

Here's the problem: Every Nvidia AI chip needs rigorous testing on specialized circuit boards before shipping to customers. You're checking power consumption, speed, performance standards—the whole works. But while Nvidia's graphics processing units represent bleeding-edge technology, many components on those test boards rely on designs from decades ago. It's like trying to quality-check a Ferrari using tools from a 1980s garage.

That's where Menlo Micro comes in. Nvidia announced Wednesday that partnering with this startup has dramatically accelerated chip testing, cutting testing time between 30% and 90% depending on the specific test, according to a newly published research paper from engineers at both companies.

Old Problems, New Solutions

Menlo Micro is a spinoff from GE founded in 2016, and it's raised $227.5 million from backers including Corning Inc (GLW) and the venture fund led by Apple Inc (AAPL) iPhone co-creator Tony Fadell. The company makes metal-based microswitch chips using micro-electromechanical systems (MEMS) technology—basically tiny mechanical switches built at microscopic scale that can handle the high power and speed requirements of modern AI chip testing.

Why does this matter? Because Nvidia has been scrambling to streamline manufacturing processes to keep up with orders. CEO Jensen Huang said in October that the company has "half a trillion dollars" in orders scheduled for 2025 and 2026. That's not a typo. Half a trillion dollars.

Analysts expect revenue to jump 56% to $56.9 billion when Nvidia reports quarterly earnings after Wednesday's market close. Because the company sits at the center of the AI boom alongside OpenAI, any hint of slower-than-expected growth could hit the stock hard.

Market Jitters and Year-End Optimism

The market showed some nerves Monday. The Nasdaq Composite fell 0.84% as investors sold off major technology stocks. Apple, Meta Platforms Inc (META), and Oracle Corp (ORCL) each slid more than 1%. Nvidia performed even worse, dropping nearly 2%.

Investors remain laser-focused on what Nvidia will say about future demand. "If they offer even slightly muted guidance or forecast for chip demand, the market would take that poorly," Ross Mayfield, investment strategist at Baird, explained.

Still, despite recent profit-taking over steep valuations and high spending concerns, several analysts expect stocks to rally into December. Michael Graham at Canaccord Genuity wrote Monday that while bullish and bearish forces remain balanced, he still predicts a year-end upswing. HSBC's chief multi-asset strategist Max Kettner went further, saying the chances of a late-year "melt-up"—especially in equities—outweigh the risk of an AI bubble bursting anytime soon.

The argument goes something like this: Yes, tech stocks look expensive. Yes, AI spending is enormous. But with Nvidia holding half a trillion dollars in future orders and companies still racing to build out AI infrastructure, the momentum could carry markets higher before any reckoning arrives.

Testing Matters More Than You'd Think

Back to the Menlo Micro partnership, which might seem like inside baseball but actually matters quite a bit. When you're trying to ship enough AI chips to fill half a trillion dollars in orders, shaving 30% to 90% off testing time isn't trivial. It directly translates to how quickly Nvidia can get products out the door and revenue on the books.

It's also a reminder that even at the frontier of technology, you're only as fast as your slowest component. Nvidia can design the world's most advanced GPUs, but if the testing infrastructure can't keep pace, you've got a problem. Partnering with a specialized startup to swap out antiquated relay technology for modern MEMS switches solved that problem.

Nvidia shares were up 2.13% at $185.22 at the time of publication Wednesday, recovering some of Monday's losses as investors awaited the earnings report.

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Nvidia Teams With Menlo Micro to Speed Up AI Chip Testing and Escape a Production Crunch

MarketDash Editorial Team
18 days ago
As Nvidia prepares to report earnings with half a trillion dollars in future orders on the books, a partnership with startup Menlo Micro is cutting AI chip testing time by up to 90%, helping ease a critical production bottleneck that's been slowing down the chip giant's ability to meet surging demand.

All eyes are on Nvidia Corp. (NVDA) this week as the AI chip powerhouse prepares to report earnings. But behind the headline numbers sits an interesting story about how even the most advanced technology companies can get tripped up by unglamorous bottlenecks—and how they fix them.

Here's the problem: Every Nvidia AI chip needs rigorous testing on specialized circuit boards before shipping to customers. You're checking power consumption, speed, performance standards—the whole works. But while Nvidia's graphics processing units represent bleeding-edge technology, many components on those test boards rely on designs from decades ago. It's like trying to quality-check a Ferrari using tools from a 1980s garage.

That's where Menlo Micro comes in. Nvidia announced Wednesday that partnering with this startup has dramatically accelerated chip testing, cutting testing time between 30% and 90% depending on the specific test, according to a newly published research paper from engineers at both companies.

Old Problems, New Solutions

Menlo Micro is a spinoff from GE founded in 2016, and it's raised $227.5 million from backers including Corning Inc (GLW) and the venture fund led by Apple Inc (AAPL) iPhone co-creator Tony Fadell. The company makes metal-based microswitch chips using micro-electromechanical systems (MEMS) technology—basically tiny mechanical switches built at microscopic scale that can handle the high power and speed requirements of modern AI chip testing.

Why does this matter? Because Nvidia has been scrambling to streamline manufacturing processes to keep up with orders. CEO Jensen Huang said in October that the company has "half a trillion dollars" in orders scheduled for 2025 and 2026. That's not a typo. Half a trillion dollars.

Analysts expect revenue to jump 56% to $56.9 billion when Nvidia reports quarterly earnings after Wednesday's market close. Because the company sits at the center of the AI boom alongside OpenAI, any hint of slower-than-expected growth could hit the stock hard.

Market Jitters and Year-End Optimism

The market showed some nerves Monday. The Nasdaq Composite fell 0.84% as investors sold off major technology stocks. Apple, Meta Platforms Inc (META), and Oracle Corp (ORCL) each slid more than 1%. Nvidia performed even worse, dropping nearly 2%.

Investors remain laser-focused on what Nvidia will say about future demand. "If they offer even slightly muted guidance or forecast for chip demand, the market would take that poorly," Ross Mayfield, investment strategist at Baird, explained.

Still, despite recent profit-taking over steep valuations and high spending concerns, several analysts expect stocks to rally into December. Michael Graham at Canaccord Genuity wrote Monday that while bullish and bearish forces remain balanced, he still predicts a year-end upswing. HSBC's chief multi-asset strategist Max Kettner went further, saying the chances of a late-year "melt-up"—especially in equities—outweigh the risk of an AI bubble bursting anytime soon.

The argument goes something like this: Yes, tech stocks look expensive. Yes, AI spending is enormous. But with Nvidia holding half a trillion dollars in future orders and companies still racing to build out AI infrastructure, the momentum could carry markets higher before any reckoning arrives.

Testing Matters More Than You'd Think

Back to the Menlo Micro partnership, which might seem like inside baseball but actually matters quite a bit. When you're trying to ship enough AI chips to fill half a trillion dollars in orders, shaving 30% to 90% off testing time isn't trivial. It directly translates to how quickly Nvidia can get products out the door and revenue on the books.

It's also a reminder that even at the frontier of technology, you're only as fast as your slowest component. Nvidia can design the world's most advanced GPUs, but if the testing infrastructure can't keep pace, you've got a problem. Partnering with a specialized startup to swap out antiquated relay technology for modern MEMS switches solved that problem.

Nvidia shares were up 2.13% at $185.22 at the time of publication Wednesday, recovering some of Monday's losses as investors awaited the earnings report.

    Nvidia Teams With Menlo Micro to Speed Up AI Chip Testing and Escape a Production Crunch - MarketDash News