$CRDO is becoming an increasingly important bet on the optical side of AI infrastructure.
Credo’s Q1 revenue reached $479M, but the bigger catalyst may be whether its optical business can scale toward the company’s $600M target as its 1.6T DSP portfolio gains traction.
The thesis goes beyond one strong quarter. Credo needs to turn hyperscaler demand for high-speed connectivity into durable revenue, margins and cash flow.
Its September addition to the FTSE All-World Index could also increase exposure from benchmark-tracking funds, potentially making the stock more sensitive to future operating updates.
The biggest risk remains hyperscaler spending. If AI infrastructure budgets slow or orders get pushed out, Credo could face a mismatch between capacity/R&D spending and actual demand.
Analyst assumptions point toward $4.8B revenue and $1.9B earnings by 2029, but those numbers depend heavily on sustained execution.
$ORCL signed a $7B AI compute deal with Tencent covering ~10OK advanced chips across its Southeast Asia data centers.
Also really interest seeing Tencent paying ~30% upfront as it locks in compute early for model training and agents across WeChat and its enterprise products.
$MU : The Supply Story Is More Bullish Than The Earnings.
> 26 long-term supply agreements signed > $32B in customer commitments > 75%+ of FY27 production already contracted > New fabs won't be ready until late 2028, supply ceiling is fixed. > Demand exceeds supply. Customers are being given order limits.
The demand is locked in. The supply can’t keep up.
Flow Engineering raised a $50M Series B at a $750M valuation, co-led by Valor Equity Partners founder Antonio Gracias and Atreides Management Managing Partner Gavin Baker.
The company is building an AI-powered hardware development platform used by teams including Rivian $RIVN , $JOBY.US , Anduril and Stoke Space.
My initial read on why $MU isn't more green is that Q4 was still heavily price driven with DRAM revenue up 27% while bits only grew mid single digits and NAND up 42% with ~30% pricing so the market is still treating these earnings like a peak that fades once supply catches up.
What changed this quarter is management gave us a lot more visibility into why that may not happen anytime soon with 75%+ of next year’s output already committed, SCAs stretching into 2031, margins rising after Q1 and meaningful new cleanroom capacity still not arriving until late 2028.
If Micron can sustain something around $200 of forward EPS and market eventually decide that setup deserves even 10x instead of 6x then you're suddenly looking at $2,000 stock without needing an aggressive multiple.
Notes: Beat the top of its own guidance range by 6% and beat consensus by $3B. Same quarter last year was $11.3B. Q1 guide of $61.5B is another 13% sequential on top of this. I said over $58B confirms the supercycle. This is $3.5B above that.
Core Data Center did $18.0B, up 56% QoQ, at a 90% gross margin. Every segment is above 83% gross margin. Automotive, the weakest, is at 84%.
$73.5B in cash and investments against $5.2B of debt. Customers prepaid $12.7B this year to lock in supply. That's the strategic customer agreements showing up on the balance sheet.
Capex was $10.8B this quarter, $27.4B for the year, and they still generated $62B of free cash flow. They're funding the buildout from cash and still stacking $30B+ a quarter.
$INTC added $NVDA OpenShell to its AI for Enterprise Agent Toolkit, bringing policy-enforced sandboxes that control agent actions, access and credentials.
The integration adds an external security layer around AI agents while continuing to run on Intel Xeon infrastructure and Intel’s existing GenAI gateway.
President Trump and leaders from GOOGL, $NVDA , $META , $SPCX , Anthropic and OpenAI just signed a voluntary White House accord for advanced AI safety.
The companies agreed to internal controls and outside audits creating a self policing framework that could eventually become law.
Calcalist, Israel’s leading financial newspaper, reports that Nebius is exploring the acquisition of an Israeli company in a deal valued at $100M-$150M.
AI voice startup ElevenLabs is now valued at $22B after existing investors and employees sold $300M of stock in a secondary deal led by Wellington and T. Rowe Price.
That’s double its valuation from February, when ElevenLabs raised $500M.
The company says it now has more than 800 employees across 20 countries and counts Deutsche Telekom, Stripe, Revolut, Klarna and the governments of Ukraine and Greece among its customers.
ElevenLabs also develops and trains its own models rather than relying on OpenAI, Google or Anthropic.
The company says it wants to be IPO-ready within the next 2 to 2.5 years.
$NVDA became a strategic investor in ElevenLabs in 2025.
Ennoble Care selected CoreWeave to run clinical AI inference across its home-based care network, using dedicated $NVDA # RTX PRO 6000 Blackwell nodes for workloads including documentation, summarization and clinical decision support.
CoreWeave also said NVIDIA Vera Rubin NVL72 is now available in production, with Cognition as the first customer running live workloads. Cognition measured 3.8x more output tokens versus GB200 NVL72.
Separately, CoreWeave launched a new Partner Network with validated integrations from companies including CrowdStrike, VAST Data, ClickHouse, Reflection, Exa and You .com, all tested on CoreWeave infrastructure under production conditions.
AIB Data Centers signs a contract with $NBIS for 50 MW of AI data center capacity in the U.S.
The contracted capacity is supported by AIB’s previously announced 15-year Electric Service Agreement covering 65 MW of utility load at the site, with no significant additional electrical infrastructure upgrades required.
AIB expects to deliver the capacity across two data halls.
“Time-to-power is the binding constraint on AI infrastructure today, and AIB’s existing power position gave us a clear path to bringing this capacity online on a timeline that works for our customers. This agreement adds dedicated capacity in the southeastern U.S. for training and inference workloads.”
— Andrey Korolenko, Head of Infrastructure at $NBIS