Marketdash

IBM Doubles Down on AI With NVIDIA, Promising Faster Chips and Smarter Factories

MarketDash
IBM is expanding its partnership with NVIDIA to bring powerful new AI chips to its cloud and Red Hat platforms, aiming to help big companies finally get their AI projects off the ground.

Get Market Alerts

Weekly insights + SMS alerts

Shares of International Business Machines (IBM) got a little boost on Tuesday. The reason? The company announced it's teaming up even more closely with NVIDIA (NVDA) to try and make artificial intelligence actually work for big corporations.

Let's be honest: a lot of companies are talking a big game about AI, but actually deploying it at scale is hard. That's the problem IBM and NVIDIA say they're trying to solve with this expanded collaboration. It's all about "operationalizing AI"—which is corporate-speak for moving from cool demos to stuff that actually runs your business.

The plan centers on two main areas: GPU-powered data analytics and intelligent document processing. In simpler terms, they want to use NVIDIA's super-fast chips to help companies sift through mountains of data and paperwork much more quickly.

And they already have a pretty compelling case study. IBM says its Watsonx.data SQL engine, supercharged by this tech, helped Nestlé cut the query time for its global supply chain data from 15 minutes down to just three. That's an 80% time savings, which translated to an 83% cost savings. When you're a giant like Nestlé, shaving 12 minutes off a data query and saving most of the cost is a very big deal.

The partnership is also looking at how to blend IBM's Sovereign Core offering—which is all about keeping data in specific geographic locations for legal and regulatory reasons—with NVIDIA's infrastructure. This is key for industries like finance and healthcare, where you can't just ship sensitive data anywhere you want, even if you have the world's fastest AI chips.

So, what's the tangible next step? IBM says it will make NVIDIA's next-generation Blackwell Ultra GPUs available on the IBM Cloud starting in the early second quarter of 2026. These chips are designed for the heavy lifting: training massive AI models and running high-volume inference (that's when the trained model makes predictions or decisions).

They'll also be integrated into something called the Red Hat AI Factory with NVIDIA. This offering, which includes virtual private cloud (VPC) servers, is pitched as having enterprise-grade controls for compliance and data residency. It's the full package for cautious corporate IT departments.

What Does the Market Think?

While the news gave the stock a nudge, the broader picture for IBM shares is a bit mixed. Technically, the stock is trading just 0.7% above its 20-day simple moving average, which suggests some recent stability. But it's sitting a full 10.5% below its 100-day average, hinting at longer-term challenges. Over the past year, shares are down about 1.5%, and they're currently hanging out closer to their 52-week lows than their highs.

The Relative Strength Index (RSI) is at 43.48, which is basically neutral—no strong momentum in either direction. Interestingly, the MACD indicator is showing a bullish crossover, as the MACD line has moved above its signal line. Put it all together, and the technical picture says: maybe some upside potential, but definitely not a roaring bull trend right now.

  • Key Resistance: $290.00
  • Key Support: $240.00
Get Market Alerts

Weekly insights + SMS (optional)

The Analyst Take and What's Next

IBM is expected to report its next earnings on April 22, 2026. Analysts are forecasting earnings per share of $1.80, up from $1.60, and revenue of $15.60 billion, up from $14.54 billion. At a P/E ratio of 22.4x, the market seems to think it's fairly valued.

The consensus analyst rating is a Buy, with an average price target of $318.92. But as always, the devil is in the details—and the recent details show analysts aren't exactly in lockstep.

  • Wedbush is bullish, maintaining an Outperform rating and a $340 price target (as of Feb. 25).
  • Morgan Stanley is more cautious, keeping an Equal-Weight rating but lowering its price target to $247 (also Feb. 25).
  • UBS recently upgraded the stock to Neutral from a lower rating, but its target is a modest $236 (again, Feb. 25).

So you've got targets ranging from $236 to $340. That's not a tight consensus; it's a debate. The bulls see the AI and hybrid cloud story gaining steam. The more neutral folks might be waiting to see the financial results from these big partnerships.

In the end, IBM shares closed Tuesday's session up 1.46% at $252.89. The company is making a clear, expensive bet that by combining its enterprise software and cloud expertise with NVIDIA's raw computing power, it can become the go-to partner for corporations that are tired of AI hype and ready for AI reality. The market will be watching closely to see if customers agree.

IBM Doubles Down on AI With NVIDIA, Promising Faster Chips and Smarter Factories

MarketDash
IBM is expanding its partnership with NVIDIA to bring powerful new AI chips to its cloud and Red Hat platforms, aiming to help big companies finally get their AI projects off the ground.

Get Market Alerts

Weekly insights + SMS alerts

Shares of International Business Machines (IBM) got a little boost on Tuesday. The reason? The company announced it's teaming up even more closely with NVIDIA (NVDA) to try and make artificial intelligence actually work for big corporations.

Let's be honest: a lot of companies are talking a big game about AI, but actually deploying it at scale is hard. That's the problem IBM and NVIDIA say they're trying to solve with this expanded collaboration. It's all about "operationalizing AI"—which is corporate-speak for moving from cool demos to stuff that actually runs your business.

The plan centers on two main areas: GPU-powered data analytics and intelligent document processing. In simpler terms, they want to use NVIDIA's super-fast chips to help companies sift through mountains of data and paperwork much more quickly.

And they already have a pretty compelling case study. IBM says its Watsonx.data SQL engine, supercharged by this tech, helped Nestlé cut the query time for its global supply chain data from 15 minutes down to just three. That's an 80% time savings, which translated to an 83% cost savings. When you're a giant like Nestlé, shaving 12 minutes off a data query and saving most of the cost is a very big deal.

The partnership is also looking at how to blend IBM's Sovereign Core offering—which is all about keeping data in specific geographic locations for legal and regulatory reasons—with NVIDIA's infrastructure. This is key for industries like finance and healthcare, where you can't just ship sensitive data anywhere you want, even if you have the world's fastest AI chips.

So, what's the tangible next step? IBM says it will make NVIDIA's next-generation Blackwell Ultra GPUs available on the IBM Cloud starting in the early second quarter of 2026. These chips are designed for the heavy lifting: training massive AI models and running high-volume inference (that's when the trained model makes predictions or decisions).

They'll also be integrated into something called the Red Hat AI Factory with NVIDIA. This offering, which includes virtual private cloud (VPC) servers, is pitched as having enterprise-grade controls for compliance and data residency. It's the full package for cautious corporate IT departments.

What Does the Market Think?

While the news gave the stock a nudge, the broader picture for IBM shares is a bit mixed. Technically, the stock is trading just 0.7% above its 20-day simple moving average, which suggests some recent stability. But it's sitting a full 10.5% below its 100-day average, hinting at longer-term challenges. Over the past year, shares are down about 1.5%, and they're currently hanging out closer to their 52-week lows than their highs.

The Relative Strength Index (RSI) is at 43.48, which is basically neutral—no strong momentum in either direction. Interestingly, the MACD indicator is showing a bullish crossover, as the MACD line has moved above its signal line. Put it all together, and the technical picture says: maybe some upside potential, but definitely not a roaring bull trend right now.

  • Key Resistance: $290.00
  • Key Support: $240.00
Get Market Alerts

Weekly insights + SMS (optional)

The Analyst Take and What's Next

IBM is expected to report its next earnings on April 22, 2026. Analysts are forecasting earnings per share of $1.80, up from $1.60, and revenue of $15.60 billion, up from $14.54 billion. At a P/E ratio of 22.4x, the market seems to think it's fairly valued.

The consensus analyst rating is a Buy, with an average price target of $318.92. But as always, the devil is in the details—and the recent details show analysts aren't exactly in lockstep.

  • Wedbush is bullish, maintaining an Outperform rating and a $340 price target (as of Feb. 25).
  • Morgan Stanley is more cautious, keeping an Equal-Weight rating but lowering its price target to $247 (also Feb. 25).
  • UBS recently upgraded the stock to Neutral from a lower rating, but its target is a modest $236 (again, Feb. 25).

So you've got targets ranging from $236 to $340. That's not a tight consensus; it's a debate. The bulls see the AI and hybrid cloud story gaining steam. The more neutral folks might be waiting to see the financial results from these big partnerships.

In the end, IBM shares closed Tuesday's session up 1.46% at $252.89. The company is making a clear, expensive bet that by combining its enterprise software and cloud expertise with NVIDIA's raw computing power, it can become the go-to partner for corporations that are tired of AI hype and ready for AI reality. The market will be watching closely to see if customers agree.