$NET 0.51 Developing

Notable posts

• @StockSavvyShay neutral 1587 eng

  THE NEW AI INFRASTRUCTURE STACK Piper Sandler mapped the new AI infrastructure stack across 8 layers from the power grid all the way to the agent as AI scaling creates bottlenecks across power, cooling, networking, storage, cloud & inference: Layer 1 | Power, Grid & Real Estate • $NEE building renewable power backbone hyperscalers need to scale AI • $CEG monetizing 24/7 nuclear power AI data centers increasingly require • $TLN building behind the meter nuclear power model for AI campuses • $IREN turning scarce power & interconnects into hyperscale AI capacity • $DLR owning physical real estate underneath global AI infrastructure • $EQIX owning interconnection layer where AI networks & clouds meet Layer 2 | Physical Datacenter, Shell & Cooling • $VRT building 800V DC powertrain needed for next jump in AI rack density • $SMCI assembling liquid cooled rack systems that turn GPUs into usable compute Layer 3 | Silicon & Hardware • $NVDA building compute platform underneath AI economy • $AMD building second full stack accelerator platform at hyperscale • $AVGO designing custom AI silicon behind Google TPUs & Meta MTIA as hyperscalers move deeper into proprietary compute • $GOOGL turning TPUs from an internal advantage into a hardware business sold directly into customer data centers • $INTC turning 14A into a real external foundry business with $TSLA as an anchor customer and its largest reported foundry deal yet • $ARM moving into full server CPUs & capturing the full value of the chip instead of dollars per core Layer 4 | Scale Up & Scale Out Networking • $ANET building Ethernet backbone connecting hyperscale AI clusters • $CSCO extending enterprise networking into AI data center fabric • $CLS manufacturing physical networking hardware connecting AI clusters Layer 5 | High Performance Storage • $PSTG using DirectFlash to reclaim power & rack space for AI infrastructure • $DELL bundling servers & storage into an integrated enterprise AI stack • $NTAP connecting enterprise data estates to cloud AI workloads • $HPE bringing enterprise storage into an infrastructure as a service model Layer 6 | Orchestration & Workloads • $IBM turning Red Hat OpenShift into enterprise control plane for private & hybrid AI deployments • $NTNX bringing AI infrastructure stack into private & on prem environments Layer 7 | GPUaaS & Cloud • $CRWV proving GPU residual value with fully priced A100 capacity contracted through 2029 • $NBIS building an AI cloud around 5GW of contracted power with customers prepaying 50% of capex • $DOCN bringing AI compute & inference below hyperscale cloud layer • $MSFT turning Azure into one of largest distribution layers for AI compute • $AKAM pushing AI inference closer to where users consume it • $AMZN monetizing AI through hyperscale cloud infrastructure & its own silicon • $ORCL building AI cloud capacity against a heavily concentrated backlog of large customer commitments Layer 8 | Model Execution, Tokens & Agents • $NET becoming distribution layer between AI agents and the internet as non human traffic crosses more than 50% of its network • $FSLY moving inference closer to the end user through edge compute

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• @StockSavvyShay bullish 1116 eng

  NEXT WEEK’S EARNINGS ARE MASSIVE FOR GROWTH • Monday | $PLTR, $CLPT, $ON, $GRAB, $SNAP, $WGS, $VOYG • Tuesday | $AMD, $SPCX, $CIFR, $ZETA, $ANET, $ALAB, $TMDX, $KTOS, $DOCN, $HUT, $OPEN, $PRCT • Wednesday | $SNDK, $APP, $IONQ, $MELI, $UBER, $SHOP, $EOSE, $OSS, $VPG, $DUOL, $FIG, $SYM, $RDW, $FLNC, $VIAV • Thursday | $CELH, $DDOG, $OSCR, $NET, $TTD, $U, $QBTS, $AAOI, $RCAT, $TEAM, $OUST, $SHAZ • Friday | $OKLO, $VST

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• @StockSavvyShay neutral 908 eng

  UPDATED SOFTWARE COMP SHEET Rule of 40 breakdown: • Best-in-class (60%+) | $PLTR, $APP • Elite (50–59%) | $NOW, $CRWD, $PANW, $SNOW • Great (40–49%) | $DDOG, $ADBE, $SHOP, $NET, $RBRK, $CRM, $ZS • Good (30–39%) | $MDB, $TEAM, $FIG, $MNDY, $HUBS, $PATH, $ZETA https://t.co/bNieiJzPt6

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• @StockSavvyShay neutral 753 eng

  15 OF THE MOST IMPRESSIVE FOUNDER LED COMPANIES IN PUBLIC MARKETS 1. $NVDA | Nvidia 2. $RKLB | Rocket Lab 3. $ASTS | AST SpaceMobile 4. $PLTR | Palantir 5. $META | Meta 6. $CRWD | CrowdStrike 7. $TSLA | Tesla 8. $NBIS | Nebius 9. $NET | Cloudfare 10. $SHOP | Shopify 11. $AXON | Axon 12. $HOOD | Robinhood 13. $IREN | IREN Limited 14. $HIMS | Hims & Hers 15. $ZETA | Zeta

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• @StockSavvyShay neutral 650 eng

  SOFTWARE GROWTH LEADERS 3-year growth CAGR breakdown: • Best-in-class (40%+) | $PLTR • Elite (25–29%) | $NET, $SNOW • Strong (20–24%) | $DDOG, $APP, $RBRK, $CRWD, $SHOP • Solid (10–19%) | $NOW, $FIG, $MDB, $ZS, $MNDY, $ZETA, $TEAM, $HUBS, $PANW • Slow (<10%) | $CRM, $ADBE, $PATH

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• @StockSavvyShay neutral 390 eng

  AGENTIC AI SECURITY STACK • $ZS Zero Trust access layer for agent-to-app activity • $NET edge security & AI Gateway for internet-facing agent calls • $RBRK immutable backup & cyber recovery for the AI data layer • $FTNT firewall inspection for machine-to-machine AI traffic at scale • $S endpoint & identity defense for AI-driven attacks in the midmarket • $OKTA identity governance for humans, agents & non-human identities • $CRWD endpoint, identity & cloud telemetry for autonomous workflows • $CHKP prevention-first security against autonomous & AI-generated threats • $PANW full-stack AI enterprise security across cloud, SOC & privileged access • $DT observability & security visibility for agent behavior across distributed systems

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• @StockSavvyShay neutral 335 eng

  10 NAMES MAPPING THE AI CLOUD LANDSCAPE 1. $CRWV combines deep $NVDA integration with software designed to keep massive AI training clusters running efficiently 2. $NBIS combines in-house hardware + software with control over infrastructure and power creating more opportunities to improve efficiency 3. $DOCN makes AI inference and agent development accessible to smaller businesses through a managed cloud platform 4. $IREN combines owned land with a large secured power pipeline giving it a foundation for expanding AI capacity 5. $SHAZ combines regional partnerships with sovereign cloud capabilities to serve customers needing local infrastructure and data control 6. $NET combines AI inference with developer tools, storage and security making it easier to build applications across its edge network 7. Crusoe builds its campuses around available energy aligning data center development with power needed to operate them 8. Lambda specializes in dense GPU clusters with managed software that simplifies training and running AI models 9. $AKAM brings computing, security and content delivery together across an established global network close to customers 10. $FSLY uses lightweight WebAssembly execution to start applications quickly and handle requests close to users

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• @Venu_7_ bullish 312 eng

  The index has gone sideways for three months. Most people see that as dead money. William O'Neil saw it as the most important research window of the cycle. While the market chops, the next leaders are quietly building bases. When the market turns, they are the first stocks out. Here is what to look for: - The stock is holding above its 50-day line while the index struggles - Its relative strength line is at or near new highs, meaning it is outperforming a flat market - It is forming a recognizable base near its highs: cup with handle, flat base, or double bottom - Volume dries up inside the base. The sellers are running out. - Earnings and sales growth are still accelerating underneath That is your watchlist for the next leg: $NBIS $SMTC $INTC $BE $GLW $CRM $NOW $PLTR $ABNB $FIVN $TEAM $CRWD $NET $TWLO $FROG $FTNT $PANW $RBRK $HPE $DELL $HPQ $ANET $APH $COHU $MRVL $AMD $NVDA $MU $SNDK $U $NTAP $FORM You do not need to predict when the market turns. You need to have the list ready for when it does. The index tells you when. The stocks holding up best tell you what.

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