Meta Delays Avocado AI Launch to May
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.AVOCADO AI DELAYED:Metahas delayed the launch of its Avocado AI model to at least May over performance concerns and has discussed temporarily licensing Gemini to power its products, The New York Times' Eli Tan. While Avocado outperformed Meta's previous AI model and did better from Google'sGemini 2.5 model from March, it has not performed as strongly as Gemini 3.0 from November, people familiar with the matter say.NVIDIA CHIPS:ByteDance is working with Aolani Cloud to use 500 NvidiaBlackwell computing systems in Malaysia, totaling around 36,000 B200 chips, in an effort to become a global AI leader, Jon Emont and Liza Lin of The Wall Street Journal, people familiar with the matter told the Journal. ByteDance intends to use the computing power for AI research and development outside of China, the sources added.AI CONSULTING JV:Anthropic is in talks with Blackstoneand other private equity firms to form a joint venture selling consulting services for integrating Claude into portfolio companies, The Information's Anissa Gardizy, Valida Pau, and Stephanie Palazzolo.CLAUDE PARTNER NETWORK:Anthropic said it is launching the Claude Partner Network, a program for partner organizations helping enterprises adopt Claude. The company is committing an initial $100M to support its partners with training courses, dedicated technical support, and joint market development. Partners who join from today will get immediate access to a new technical certification and be eligible for investment, says Anthropic. Alongside the network, the company is introducing the first Claude technical certification: Claude Certified Architect, Foundations, available today for partners. This is a technical exam for solution architects building production applications with Claude. Later this year, the company says it will introduce additional certifications for sellers, architects, and developers. Partners who join the network now will get priority access to new certifications as they roll out. Finally, Anthropic is launching a Code Modernization starter kit, which gives its partners a straightforward starting point for migrating legacy codebases and remediating enterprises' technical debt. "This is one of the highest-demand enterprise workloads, and one where Claude's agentic coding capabilities most directly translate into client outcomes," the company adds.MORE NEWS FOR META AI:In a blog, Metaannounced it is partnering with a variety of news outlets, including News Corp, Le Figaro, Prisa and Sueddeutsche Zeitung, to integrate real-time news stories into Meta AI responses. "We're committed to making Meta AI more responsive, accurate, and balanced," the Facebook parent said. "Real-time events can be challenging for current AI systems to keep up with, but by integrating more and different types of news sources, our aim is to improve Meta AI's ability to deliver timely and relevant content and information with a wide variety of viewpoints and content types. We have consistently emphasized that our business decisions are driven by the goal of providing valuable experiences for people who use our technologies. We are excited about the ways people are using Meta AI, whether it's to spark new ideas, edit and animate media, dive deeper into topics of interest, find creative inspiration, and more. As our products evolve, we continue to experiment with different Meta AI experiences for everyone using our services."AI INFERENCE SOLUTIONS:Amazon Web Servicesand Cerebras Systems announced a collaboration that will, in the coming months, deliver the "fastest AI inference solutions available for generative AI applications and LLM workloads." The solution, to be deployed on Amazon Bedrock in AWS data centers, combines AWS Trainium-powered servers, Cerebras CS-3 systems, and Elastic Fabric Adapter networking. Later this year, AWS will also offer leading open-source LLMs and Amazon Nova using Cerebras hardware. "Inference is where AI delivers real value to customers, but speed remains a critical bottleneck for demanding workloads like real-time coding assistance and interactive applications," said David Brown, Vice President, Compute & ML Services, AWS. "What we're building with Cerebras solves that: by splitting the inference workload across Trainium and CS-3, and connecting them with Amazon's Elastic Fabric Adapter, each system does what it's best at. The result will be inference that's an order of magnitude faster and higher performance than what's available today."
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- Earnings Forecast: Nvidia anticipates Q1 2027 sales of $78 billion, representing a 77% increase year-over-year, with a projected gross margin of 74.9%, indicating robust market demand and profitability.
- Competitive Advantage: Despite increasing external competition, Nvidia's GPUs maintain clear advantages in computational power, and persistent GPU scarcity allows the company to sell hardware at premium prices, solidifying its market position in enterprise data centers.
- Stock Volatility: Historical data shows that Nvidia's stock typically declines after earnings releases, with five out of the last seven quarters experiencing a drop, averaging a 3% loss, reflecting overly optimistic market expectations.
- Investor Caution: While Nvidia's results often exceed analyst forecasts, the optimistic sentiment surrounding AI technology may pose bubble risks, prompting investors to carefully consider their investment decisions following the earnings report.
- Fundraising Plans: AI startup Cursor is in discussions to raise a $2 billion funding round, with an expected valuation exceeding $50 billion, which will further propel its market expansion and technological innovation.
- Investor Lineup: Andreessen Horowitz is set to co-lead this funding round, with Nvidia and Thrive Capital also expected to participate, reflecting strong confidence in Cursor's future growth from these previously involved investors.
- Historical Funding Review: Last November, Cursor raised approximately $2.3 billion in a Series D funding round, achieving a post-money valuation of $29.3 billion, attracting existing investors like Accel, Thrive, and Andreessen Horowitz, along with new partners such as Coatue, Nvidia, and Alphabet.
- Technology Updates: In February, Cursor released various updates aimed at assisting software developers, including enabling AI agents to test coding changes and record their actions through videos, logs, and screenshots, thereby enhancing development efficiency.
- Significant Stock Surge: POET Technologies saw an 18.3% increase in stock price on Monday, marking its strongest intraday gain in nearly five months, reflecting strong market interest in its potential collaborations with Nvidia and Marvell.
- Social Media Buzz: Commentary from former Sivers Semiconductors CEO Anders Storm on social media regarding POET's potential role as a supplier to Marvell has sparked widespread investor discussion, further driving the stock's rise.
- Short Squeeze Risk: POET's short interest has climbed from 6.1% in early February to 8.6%, nearing historic highs, with expectations of a short squeeze potentially exacerbating stock volatility and attracting more traders' attention.
- Expansive Collaboration Outlook: POET is co-developing optical 'light engines' with Sivers and has a partnership with Celestial AI, which was recently acquired by Marvell, establishing a solid foundation for POET's future growth in the AI server market.
- Industry Leadership: Fluor boasts over 100 years of experience in data center construction and was named the top construction company by Data Centre Magazine in 2025, highlighting its leadership in global data center megaprojects.
- Major Project Collaboration: Fluor signed an agreement with TeraWulf to build a 480-megawatt data center, with project estimates ranging from $3 billion to $4 billion, further solidifying its role in AI infrastructure development.
- Revenue Growth Potential: The data center business is part of Fluor's urban solutions segment, which accounted for over 59% of the company's revenue in 2025, indicating significant growth opportunities recognized by management.
- Market Investment Trends: Research indicates that global spending on data centers reached $1 trillion last year, projected to rise to $4 trillion by 2030, positioning Fluor to benefit as a key player in infrastructure development.
- Market Growth Potential: Global data center spending is projected to reach $4 trillion by 2030, indicating robust market demand, and Fluor, as an industry leader, is actively engaging in this growth trend to enhance its market share.
- Major Project Collaboration: Fluor has signed an agreement with TeraWulf to build a 480-megawatt data center, with project estimates ranging from $3 billion to $4 billion, which not only strengthens Fluor's influence in the AI infrastructure sector but also lays the groundwork for future revenue growth.
- Financial Performance Analysis: Despite facing a net loss of $51 million in 2025, Fluor's $25.5 billion backlog indicates strong future profitability potential, and management's focus on data center projects further boosts investor confidence.
- Industry Competitive Landscape: Fluor was named the top data center construction company in 2025, showcasing its expertise in sophisticated engineering and construction solutions, and despite competition from other tech firms, Fluor remains a focal point for investors.
- Quantum Stock Surge: Following Nvidia's launch of the Ising open-source models, quantum computing stocks like IonQ and D-Wave Quantum surged by 60% and 47%, respectively, indicating strong market interest and increased investor confidence in quantum technology.
- Technical Milestone: IonQ announced it achieved a foundational milestone by photonic interconnecting two independent trapped-ion quantum systems, marking a key step towards scaling quantum computing, which is expected to attract more government and corporate investments.
- Software Ecosystem Development: Nvidia's CUDA-Q platform acts as middleware for quantum computing, facilitating collaboration among GPUs, CPUs, and quantum processing units, enhancing the complexity and efficiency of quantum applications, thereby solidifying its leadership in the quantum computing space.
- Strategic Investment Opportunity: Nvidia's quantum computing strategy mirrors its success in AI, and is expected to provide stable returns for investors, positioning it as a











