IREN vs Snowflake

AMD Stands Out as AI Trade Fractures

As the AI trade shows signs of cracking, with recent selloffs in CoreWeave and IREN and growing concerns about AI infrastructure spending, CNBC's Options Action contributor Michael Khouw identifies Advanced Micro Devices (AMD) as a standout investment opportunity. Despite AMD's 8.1% drop following Meta's financing plans and a supply warning from Lam Research, Khouw's quantitative screen highlights AMD as the only major chipmaker meeting all criteria for outperformance. These criteria include price above the 200-day moving average, revenue and EPS growth exceeding S&P 500 benchmarks, rating upgrades, PEG below 3, and strong ROE/ROIC. Consensus estimates for Q3 2026 project EPS of $1.94 on revenue of $13.06 billion, representing year-over-year growth of 62% and 41% respectively. CEO Lisa Su recently announced plans to substantially increase supply in 2027 to meet surging AI demand. The article also discusses an options strategy—a call spread risk reversal—to manage the high implied volatility around earnings.

• AMD's stock dropped 8.1% due to Meta's financing plans and a supply warning from Lam Research.
• Consensus expects AMD Q3 2026 EPS of $1.94 on revenue of $13.06 billion.
• AMD's year-over-year growth is projected at 62% for EPS and 41% for revenue.

10-K Financial Filing Analysis for IREN (2026-08-27)

IREN Limited filed its Form 10-K for the fiscal year ended June 30, 2026, detailing its strategic transition from Bitcoin mining toward high-density AI Cloud Services and data center infrastructure. The company reported substantial business transformation, holding ~40MW of operational AI Cloud capacity alongside 23.2 EH/s (~380MW) of Bitcoin mining capacity earmarked for substantial decommissioning and reallocation to AI workloads by December 31, 2026. For FY 2026, IREN recorded a net loss of $702.6 million, compared to net income of $86.9 million in FY 2025, driven by intensive capital investments, hardware procurement, and expanding debt obligations. The company closed significant capital initiatives, including $3.6 billion in secured GPU debt financing in May 2026, and entered a strategic collaboration with NVIDIA enabling up to 5GW of DSX-aligned AI infrastructure deployments.

• IREN incurred a consolidated net loss of $702.6 million for the fiscal year ended June 30, 2026, compared to a net income of $86.9 million for the prior fiscal year ended June 30, 2025.
• Total outstanding indebtedness as of June 30, 2026, reached $7,976.0 million (comprising $7,705.6 million in debt and $270.4 million in finance leases), supported in part by a $3.6 billion GPU financing program executed in May 2026.
• The company secured grid-connected power capacity representing approximately 5GW across North America, Europe, and Australia, while operating ~40MW of AI Cloud capacity and targeting completion of its Bitcoin mining phase-out by December 31, 2026.

Snowflake Expands Access to Data and AI Education with Free Global Training for Everyone

Snowflake announced free global training for everyone, USA Cycling partnership for LA28 Games, and new product capabilities (CoCo, CoWork, autonomous data engineering, business ontology, AI gateway) at EXPEDITION 2026.

Snowflake to Announce Financial Results for the Third Quarter of Fiscal 2027 on December 2, 2026

Snowflake announced it will release its Q3 FY2027 financial results on December 2, 2026, and will present at upcoming investor conferences in November 2026.

Monte Carlo Launches Bayes AI Teammate for Agent Trust

Monte Carlo, a leader in agent trust, has launched Bayes, an AI teammate that autonomously detects, troubleshoots, and fixes issues across AI agents and their underlying data. Bayes integrates platform capabilities into a single system, allowing customers to control how much it handles. It addresses the challenge of enterprises deploying agents faster than they can maintain reliability, with surveys showing low trust and high rollback rates. Bayes learns the customer's data and AI environment, deploys monitoring strategies, and can execute fixes via draft pull requests. It covers the entire stack from agent outputs to data inputs. Monte Carlo reports that Bayes helps detect 200% more incidents with 80% fewer false positives. The launch extends Monte Carlo's partnership with Snowflake, which named it 2026 Data & AI Governance Partner of the Year, to help joint customers build reliable agents on Snowflake.

• Monte Carlo launched Bayes, an AI teammate for autonomous detection, troubleshooting, and fixing of AI agents and their data.
• Bayes helps enterprises detect 200% more incidents than in-house systems, with over 80% fewer false positives.
• Surveys show 70% of leaders lack trust in their agents, and 74% have rolled back a customer-facing AI agent.