Nvidia Invests $2B in CoreWeave, Price Target Raised to $110

Written by Emily J. Thompson, Senior Investment Analyst

NVDA-0.64%

CRWV+5.73%

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Catch up on the top artificial intelligence news and commentary by Wall Street analysts on publicly traded companies in the space with this daily recap compiled by The Fly.INVESTMENT:Nvidiaand CoreWeaveannounced an expansion of their relationship to enable CoreWeave to accelerate the buildout of more than five gigawatts of AI factories by 2030. In addition, Nvidia has invested $2B in CoreWeave Class A common stock at a purchase price of $87.20 per share. The companies intend to: build AI factories developed and operated by CoreWeave using Nvidia's computing platform technology to meet customer demand; accelerate CoreWeave's procurement of land, power and shell to build AI factories; test and validate CoreWeave's AI-native software and reference architecture, including SUNK and CoreWeave Mission Control; deploy multiple generations of Nvidia infrastructure across CoreWeave's platform through early adoption of Nvidia computing architectures, including the Rubin platform, Vera CPUs and Bluefield storage systems.COMPUTE DEMAND:DA Davidson upgraded CoreWeave to Buy from Neutral with a price target of $110, up from $68, after assuming coverage of the name. The firm cites strengthening compute demand for the upgrade. CoreWeave has "multiple de-risking pathways" in 2026 with favorable upside potential relative to the downside risk that is already priced into the shares, the analyst tells investors in a research note. DA believes CoreWeave shares are unlikely to sustainably move higher without a "de-risking event that would significantly reduce" its "perceived counterparty risk and capital-structure overhang." The probability of these events "increases materially" in 2026, contends the firm.PREMIUM PRICES:OpenAI is targeting about $60 per 1,000 views for ChatGPT ads, on par with live NFL broadcasts and above Meta's sub-$20 cost-per-thousand impressions, while offering little conversion data, The Information's Ann Gehan and Catherine Perloff.MAIA 200:Microsoft'sScott Guthrie, Executive Vice President, Cloud + AI, stated in a blog, "Today, we're proud to introduce Maia 200, a breakthrough inference accelerator engineered to dramatically improve the economics of AI token generation. Maia 200 is an AI inference powerhouse: an accelerator built on TSMC's 3nm process with native FP8/FP4 tensor cores, a redesigned memory system with 216GB HBM3e at 7 TB/s and 272MB of on-chip SRAM, plus data movement engines that keep massive models fed, fast and highly utilized. This makes Maia 200 the most performant, first-party silicon from any hyperscaler, with three times the FP4 performance of the third generation Amazon Trainium, and FP8 performance above Google's seventh generation TPU. Maia 200 is also the most efficient inference system Microsoft has ever deployed, with 30% better performance per dollar than the latest generation hardware in our fleet today. Maia 200 is part of our heterogenous AI infrastructure and will serve multiple models, including the latest GPT-5.2 models from OpenAI, bringing performance per dollar advantage to Microsoft Foundry and Microsoft 365 Copilot. The Microsoft Superintelligence team will use Maia 200 for synthetic data generation and reinforcement learning to improve next-generation in-house models... Maia 200 is deployed in our US Central datacenter region near Des Moines, Iowa, with the US West 3 datacenter region near Phoenix, Arizona, coming next and future regions to follow. Maia 200 integrates seamlessly with Azure, and we are previewing the Maia SDK with a complete set of tools to build and optimize models for Maia 200."AI USED IN TRIALS:AI has begun helping drug companies progress through trials and regulatory submissions, Maggie Fick and Michael Erman of Reuters. AI is assisting with finding participants and clinical trial sites as well as drafting documents for regulators. Many drugmakers, including Eli Lillyhave entered partnerships with Nvidia, hoping AI will also improve the success rate of new drugs. Other drug companies in the space also using AI include Novartis, GSK, Genmab, and Teva Pharmaceutical.

NVDA

$186.47+Infinity%1D

Analyst Views on NVDA

Wall Street analysts forecast NVDA stock price to rise over the next 12 months. According to Wall Street analysts, the average 1-year price target for NVDA is 264.97 USD with a low forecast of 200.00 USD and a high forecast of 352.00 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.

41 Analyst Rating

39 Buy

1 Hold

1 Sell

Strong Buy

Current: 187.670

Low

200.00

Averages

264.97

High

352.00

Current: 187.670

Low

200.00

Averages

264.97

High

352.00

Goldman Sachs

James Schneider

Buy

maintain

$280 -> $320

2026-01-09

Reason

Goldman Sachs

James Schneider

Price Target

$280 -> $320

AI Analysis

2026-01-09

maintain

Buy

Reason

Goldman Sachs analyst James Schneider raised the firm's price target on SanDisk (SNDK) to $320 from $280 and keeps a Buy rating on the shares. Sentiment remains very positive, driven by eSSD qualification progress, strong pricing momentum, and Nvidia's (NVDA) recent memory controller announcement, the analyst tells investors in a research note.

Mizuho

Vijay Rakesh

Outperform

maintain

$245 -> $275

2026-01-09

Reason

Mizuho

Vijay Rakesh

Price Target

$245 -> $275

2026-01-09

maintain

Outperform

Reason

Mizuho analyst Vijay Rakesh raised the firm's price target on Nvidia to $275 from $245 and keeps an Outperform rating on the shares. The firm adjusted targets in the semiconductors and semiconductor capital equipment group as part of its 2026 outlook. Mizuho sees continued upside for the group in 2026 due to "attractive valuations," but more modest than 2025. The analyst' top sectors in 2026 are AI accelerators and wafter fab equipment, Optical, and memory, while the firm remains cautious on electric vehicles, autos and analog as well as computers and handsets. Mizuho's top picks for 2026 are Nvidia, Lumentum and Broadcom.

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BofA

Buy

maintain

$300 -> $390

2026-01-07

Reason

BofA

Price Target

$300 -> $390

2026-01-07

maintain

Buy

Reason

BofA raised the firm's price target on SanDisk (SNDK) to $390 from $300 and keeps a Buy rating on the shares after Nvidia (NVDA) CEO Jensen Huang presented "Vera Rubin" and co-developed chips that will drive significant improvement in performance for AI workloads at the Consumer Electronics Show in Las Vegas. Part of the performance increase coming from the ability to handle larger context windows for AI models through a dedicated storage tier connected via a Bluefeld-4 chip elevates NAND to a more prominent tier in AI workloads and allows for significant performance improvements, the analyst tells investors. Separately, demand remains strong and pricing robust, which should drive significant positive estimate revisions for SanDisk, the analyst added.

BofA

Buy

maintain

$119

2026-01-06

Reason

BofA

Price Target

$119

2026-01-06

maintain

Buy

Reason

BofA reiterated a Buy rating and $119 price target on Uber (UBER) stock. The firm continues to see Nvidia's (NVDA) autonomous vehicle initiatives as "critical" for Uber as it helps accelerate the adoption of L4 technology. Uber has a better opportunity to both purchase and lease autonomous vehicles for its network and offer consumers opportunities to monetize their autonomous vehicle on Uber's network, BofA told investors in a research note. Uber's valuation is only two to three turns higher than last year's low of around 12.5 times 2026 free cash flow, according to the firm. BofA added that it sees potential for multiple to expand to over 20 times free cash flow.

About NVDA

NVIDIA Corporation is a full-stack computing infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. The Company’s segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing platforms and artificial intelligence (AI) solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms, and DGX Cloud computing services. The Graphics segment includes GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems, and Omniverse Enterprise software for building and operating industrial AI and digital twin applications.

About the author

Emily J. Thompson

Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.