$ALAB

@investmentguru_May 17, 2026 · 2:41 PM

$NVDA EARNINGS INCOMING Next week is not just a print — it’s a macro event for the entire AI trade. → Blackwell demand visibility is the #1 watch item → Data center revenue guide will set the tone for hyperscaler capex narratives → Any commentary on CoWoS/HBM supply constraints moves $MU, $SK Hynix proxies → Gross margin trajectory = the bull/bear fulcrum heading into H2 → China export exposure still an overhang — watch management tone carefully → Beat + raise keeps the AI supercycle thesis intact. Miss or soft guide = sector-wide reset Every name in AI infra — $AMD, $MRVL, $CRDO, $ALAB, $AVGO, $ARM — trades off this print. This isn’t just $NVDA earnings. It’s a referendum on the entire AI capital cycle. I am bullish for this. Not financial advice.

@blackpanthercapMay 16, 2026 · 1:53 PM

5/6. Three wildcard picks that fits his frameworks for the next AI bottleneck: Wildcard 1: $CRDO Build the cables and chips that move data between GPUs inside AI clusters. revenue up 272% year over year. 88% market share in active electrical cables. the plumbing of every large-scale AI cluster running today. market still treats it as a niche semi name. Risk: copper faces long-term pressure from optical. customer concentration is real. Wildcard 2: $ALAB Builds the silicon that connects GPUs, CPUs, and memory so they can talk to each other at scale. Q1 2026 revenue up 93%. CXL memory controllers shipping to hyperscalers now. As agentic AI runs continuous multi-step workflows, memory-sharing becomes structural. astera built the controller for it first. Risk: valuation leaves no margin for error. any hyperscaler moving in-house re-rates it hard. Wildcard 3: $PENG 40 years of memory expertise. now building CXL-based servers that store AI agent context so inference doesn’t restart from scratch every step. Integrated memory revenue up 53% YoY. AI business now 60% of sales. A tier 1 bank is already running their product. Risk: Advanced computing revenue dropped 42%. Thin margins. Smaller operator in a space.

@investmentguru_May 6, 2026 · 10:20 AM

Capital rotation is getting louder in semis and AI infrastructure. Money is flowing into names like $MU, $SNDK, $AMD, $ARM, $CRDO, $MRVL, $INTC, $AAOI, $ALAB, and $TSEM. The market is rewarding memory, networking, packaging, and AI compute plays right now

@investmentguru_May 6, 2026 · 12:03 AM

AI Infrastructure Earnings Sweep Big after-hours strength across AI infrastructure names and the theme remains the same: demand is still accelerating. $AMD Strong beat across the board with data center leading the charge. AI GPU ramp and enterprise demand continue to build, and guidance confirms momentum is far from slowing. $SMCI Revenue came in light, but EPS beat big. Market is looking through temporary delays because demand remains intact and future deployments are still on track. $ALAB Quietly putting up monster growth. Nearly doubling revenue YoY and guiding higher again. AI connectivity and PCIe demand are becoming critical pieces of the infrastructure stack. AI is no longer just chips. It’s the full ecosystem — compute, servers, memory, networking, photonics, and cloud infrastructure. Capital keeps rotating into the AI buildout, and the market is rewarding execution. This trend still looks early. Not financial advice. Do your own research.

@thevalueistMay 5, 2026 · 8:08 PM

$ALAB (Bloomberg) -- Astera Labs reported revenue for the first quarter that beat the average analyst estimate. FIRST QUARTER RESULTS Revenue $308.4 million, estimate $292.2 million (Bloomberg Consensus) EPS 44c

@investmentguru_May 4, 2026 · 11:18 AM

Earnings watchlist for the week: 𝗠𝗼𝗻𝗱𝗮𝘆 After Hours: $PLTR $FN $BWXT $AEIS $FLY $ADEA $ON 𝗧𝘂𝗲𝘀𝗱𝗮𝘆 Pre-Market: $SHOP $PYPL $ENLT $ETN After Hours: $AMD $ANET $LITE $ALAB $NVTS $NRGV $SU $WOLF 𝗪𝗲𝗱𝗻𝗲𝘀𝗱𝗮𝘆 Pre-Market: $UBER $FLEX $SOLS $NRG $HUT After Hours: $ARM $COHR $UUUU $FSLY $SEZL $AOSL $APP $IONQ $SNAP 𝗧𝗵𝘂𝗿𝘀𝗱𝗮𝘆 Pre-Market: $DAVE $HWM $VST $DDOG $BSKY After Hours: $NET $CRWV $RKLB $IREN $LASR $PDFS $OPEN 𝗙𝗿𝗶𝗱𝗮𝘆 Pre-Market: $WULF $UI

@investmentguru_Apr 30, 2026 · 10:33 AM

Here’s my 15-stock AI infrastructure watchlist AI INFRASTRUCTURE CORE $MRVL → Custom AI silicon for hyperscalers like Google and AWS → Data center now the core growth engine → Strong XPU positioning in AI compute $CRDO → Critical connectivity layer inside AI clusters → Expanding into silicon photonics and optical transceivers → Direct beneficiary of hyperscaler GPU scaling $ALAB → PCIe/CXL connectivity solving AI server bottlenecks → Key enabler for GPU communication efficiency → Strong execution and AI infrastructure leverage $AAOI → Riding the 800G and 1.6T optical upgrade cycle → Vertical integration gives margin and supply edge → Hyperscaler demand remains strong $MXL → Emerging optical DSP player in AI infrastructure → Pivoted from broadband into data center growth → Early in hyperscaler qualification cycle MEGA-CAP AI COMPOUNDERS $MSFT → Enterprise AI leader via Copilot and Azure → Massive distribution advantage through software ecosystem → AI monetization still in early innings $GOOG → Search funds AI innovation and cloud expansion → Strong custom silicon and AI infrastructure strategy → Multiple growth engines beyond search $AMZN → AWS remains the AI cloud backbone → Aggressive AI infrastructure spending → Retail and ads fuel long-term AI investment SEMICONDUCTOR CYCLE PLAYS $AMD → Leading Nvidia alternative in AI compute → Enterprise traction growing with MI300 → Multiple cycle tailwinds in AI and PCs $MU → HBM memory is essential for AI GPUs → Direct play on AI compute demand → Strong AI-driven memory cycle setup $INTC → Foundry turnaround with strategic US importance → Big upside if execution improves → High risk, high reward setup $ARM → Royalty model across global chip ecosystem → Expanding into AI edge and data center → Benefits from industry-wide chip growth CONNECTIVITY, POWER & INFRA $SIMO → Storage controllers powering AI data growth → NAND cycle recovery adds tailwind → Undervalued storage infrastructure play $NOK → Optical and fiber backbone for data traffic growth → Beneficiary of telecom and hyperscaler upgrades → Defensive infrastructure exposure $BE → On-site energy for power-hungry AI data centers → Solves grid bottleneck challenges → Direct energy infrastructure AI play AI is not one stock. It’s chips, memory, optics, networking, storage, and power. Follow the infrastructure. That’s where the real compounding happens. Not financial advice.

@investmentguru_Apr 30, 2026 · 2:28 AM

The full CPU stack: understands each layer, you can find many play Architecture - $ARM Design- $AMD $INTC $QCOM Foundry- $TSM $GFS Memory- $MU Storage- $SIMO Connectivity- $ALAB $TMBS Custom silicon- $AVGO $MRVL Future Architecture (RISC-V via Tenstorrent, $CAN)

@investmentguru_Apr 27, 2026 · 10:48 AM

The full CPU stack: check for details in post Architecture - $ARM Design- $AMD $INTC $QCOM Foundry- $TSM $GFS Memory- $MU Storage- $SIMO Connectivity- $ALAB $TMBS Custom silicon- $AVGO $MRVL Future Architecture (RISC-V via Tenstorrent, $CAN)

@investmentguru_Apr 26, 2026 · 12:11 PM

The full CPU stack: Architecture - $ARM Design- $AMD $INTC $QCOM Foundry- $TSM $GFS Memory- $MU Storage- $SIMO Connectivity- $ALAB $TMBS Custom silicon- $AVGO $MRVL Future Architecture (RISC-V via Tenstorrent, $CAN)

@investmentguru_Apr 26, 2026 · 11:35 AM

CPU ecosystem map across every tier: TIER 1 — Pure CPU Giants $INTC — Intel. The turnaround is real. Q1 2026: revenue $13.58B, EPS $0.29 crushed $0.01 consensus. Data Center revenue +22% YoY. Stock surged nearly 25% in a single session. CEO Lip-Bu Tan declared: “The next wave of AI will bring intelligence closer to the end user — from foundational models to inference to agentic.”  Up 80%+ YTD before that gap. $AMD — EPYC CPU order book nearly sold out for 2026. Q4 2025 revenue $10.27B, up 34% YoY, with record Data Center revenue of $5.38B.  MI400 platform coming. 1-year return: +269%. The share-gainer. $ARM — The toll road of CPUs. Used in 99% of the world’s smartphone CPU cores.  In 2026, ARM announced the launch of its own CPU products on top of its existing royalty business.  Up +87% YTD before Intel’s earnings day gap. Capital-light, royalty compounder. TIER 2 — CPU-ADJACENT INFRASTRUCTURE $QCOM — Snapdragon X Elite attacking PC CPU market with ARM-based Oryon cores. Edge AI CPU momentum building across enterprise. Automotive + IoT CPU exposure via Snapdragon Cockpit Elite. $MRVL — Custom XPU + CPU silicon. 18+ socket wins. $75B design pipeline. Data center CPU-adjacent workloads = direct tailwind. $AVGO — Custom ASICs + CPU workload accelerators for hyperscalers. AI business grew 106% YoY to $8.4B last quarter. Projects $100B+ business by 2027.  The ASIC answer to x86. $TSM — Makes every CPU on the planet. TSMC fabs AMD EPYC, Apple silicon, Qualcomm Snapdragon. ~70% foundry market share. Trading 14% below Morningstar fair value of $428.  You can’t build a CPU without TSMC. TIER 3 — CPU ENABLERS & PICKS/SHOVELS $MU — Every CPU needs memory. Micron can only fulfill half-to-two-thirds of current medium-term demand. Revenue was $13.6B two quarters ago, $23.9B last quarter, guiding $33.5B next quarter.  Memory is the bottleneck. $SIMO — SSD controllers feeding CPU storage layers in AI data centers. 46% YoY revenue growth. PCIe Gen5 controllers showcased at NVIDIA GTC 2026. The quiet CPU enabler. $ALAB — PCIe + CXL connectivity silicon — the bus that CPUs talk to everything else on. 75%+ gross margins. Zero debt. Every AI CPU cluster needs Astera Labs. $RMBS — Rambus. Memory interface IP. LPDDR5X SOCAMM2 server memory chipset for AI CPUs. ~80% gross margins. Capital-light IP model — gets paid every time a CPU ships with their interface. $GFS — GlobalFoundries. Specialty foundry for RF, automotive, aerospace, and IoT CPUs. The mature-node CPU manufacturer for defense + industrial. TIER 4 — RISC-V REVOLUTION (THE FUTURE CPU WAR) Tenstorrent (private — Jim Keller’s company) — First-gen RISC-V CPU “Ascalon” delivers 10-20 SPECint2006/GHz, competing directly with ARM’s Neoverse V2.  IP licensees already include LG and Hyundai.  Backed by Hyundai, Kia, Samsung. Watch for IPO. $CAN — Canaan Creative. Launched the world’s first commercial edge AI chip based on RISC-V.  Public, listed, speculative. RISC-V + AI edge play in one ticker. SiFive (private) — The ARM of RISC-V. Intel tried to acquire for $2B. CPU IP licensing model. IPO candidate to watch. TIER 5 — HYPERSCALER CUSTOM CPUs (Own The CPU, Own The Cloud) $AMZN — Graviton ARM-based CPUs + Trainium AI chips. Trainium 2 and 3 at max capacity. Nearly all Gen 4 capacity already pre-sold 18 months out.  AWS custom CPU = lowest cloud compute cost. $GOOGL — TPU + custom ARM CPU for Google Cloud. Fastest-growing cloud CPU fleet. $MSFT — Azure custom ARM silicon + Cobalt CPU. AI inference at edge + cloud. Azure fastest-growing hyperscaler by AI workload. The GPU era is maturing. The CPU supercycle is just loading up. Every layer of this stack is a potential winner. Not financial advice.

@investmentguru_Apr 25, 2026 · 10:29 PM

10 Stocks Built for LT Returns - $MU — The HBM supercycle play. Entire 2026 HBM output already sold out. Forecasts 40% CAGR in HBM market to ~$100B, surpassing all of 2024 DRAM. Q1: 57% YoY sales growth, 56.8% gross margins, EPS up 167%. This is the memory backbone of AI. $MRVL — AI data center powerhouse. 74% of revenue now from data centers. 18+ XPU socket wins, $75B design pipeline, targeting 20% of a $94B TAM by 2028. Acquiring Celestial AI for photonic fabric tech. Custom silicon + optics = long runway. $CRDO — The picks & shovels play on AI networking. Stock up 1,700% since 2022 IPO. Active Electrical Cables dominating hyperscaler deployments. $10B+ TAM across 5 product pillars. AEC adoption still early innings — long growth runway ahead. $ARM — The architecture that runs everything. Every smartphone, AI edge device, and custom chip from Apple to NVIDIA to AWS runs on ARM IP. Royalty + licensing model = recurring revenue with zero fab risk. As custom silicon proliferates, ARM gets paid more per chip. The toll road of semiconductors. $ALAB — Elite AI connectivity pure play. 75.7% gross margins, 25.7% profit margins, $1.1B+ cash, zero debt. PCIe + CXL connectivity for hyperscalers. 17 of 19 analysts rate Buy with median PT of $205. Premium valuation but premium business. $RMBS — The memory IP kingpin. ~80% gross margins, ~40% EBIT margins. Just launched SOCAMM2 LPDDR5X server memory chipset targeting AI data centers. Capital-light, IP-driven model = durable cash flows. Underrated in the AI memory stack conversation. $AAOI — AI optical networking rocket ship. Up 1,200%+ in one year. Supplying 800G and 1.6T fiber-optic modules to hyperscalers. 97% revenue concentration with top customers — high risk but massive growth. Earnings May 7. Valuation stretched at 180x+ forward. $APH — Amphenol. The quiet compounder. Makes connectors, sensors & cables used in AI data centers, EVs, defense, aerospace. Boring product, extraordinary execution. Long-term hold for diversified tech infrastructure exposure. $MXL — Just surged 80% in a day on Q1 earnings beat. Optical data center business tied directly to AI infrastructure. Needham upgraded to Buy, peers it with MRVL/CRDO/ALAB on valuation multiples. Increased 2026 outlook. The laggard that caught up fast. $GFS — GlobalFoundries. Specialty foundry with focus on mature nodes — RF chips, automotive, aerospace, IoT. Less exposure to bleeding-edge AI race but massive structural demand from defense + auto electrification. Stable, strategic, long-duration play. all positioned at the intersection of AI infrastructure, high-speed connectivity, and semiconductor supply chain. This is where capital is flowing for the next decade. Time in market > timing the market. Not financial advice.

@investmentguru_Apr 21, 2026 · 10:27 AM

$ALAB is a pure-play AI infrastructure compounder. The thesis is revenue acceleration + operating leverage unlocking in H2 2026 as Scorpio X ramps. The pullback from ~$262 to current levels creates an interesting entry — but this is a conviction, hold-through-volatility name, not a quick trade. Not financial advice. DYOR.

@aleabitoredditApr 19, 2026 · 2:05 AM

@PhotonCap Basically every time $AMZN has these warrant agreements like $ALAB 2024, $AAOI 2026, volume orders go brrr

@investmentguru_Apr 12, 2026 · 2:00 PM

PHOTONICS / OPTICAL STACK — THE FULL VALUE CHAIN “The layer below the chips” — AI’s real bottleneck Layer 1 — Materials Foundation of everything (InP, fiber, wafers) $AXTI $GLW $COHR Layer 2 — SiPh Foundries Where photonic chips are fabricated $TSMC $GFS $TSEM Layer 3 — Lasers (Bottleneck) EML + CW lasers — tightest supply in the chain $LITE $COHR $AAOI $FN Layer 4 — PICs (Optical Chips) Integration layer replacing discrete components $POET $LWLG $MRVL $AVGO Layer 5 — Transceivers 400G → 800G → 1.6T data movement $CIEN $AAOI $LITE $COHR Layer 6 — Co-Packaged Optics (CPO) Next-gen architecture — optics + silicon combined $NVDA $AVGO $MRVL $COHR $LITE $ALAB Layer 7 — Optical Switching (OCS) Routing light without electrical conversion $CIEN $COHR $LITE Layer 8 — Networking Systems DCI, long-haul, metro infrastructure $CIEN $ANET $NOK Layer 9 — Test & EDA Hidden backbone enabling scale $KEYS $FORM $ANSS Layer 10 — Demand Drivers Hyperscalers pulling the entire chain $NVDA $META $GOOGL $MSFT $AMZN THE BIG PICTURE (2026–2027) - AI demand is exponential - Electrical interconnects are hitting limits - Optical = the only scalable solution Key Constraint: Laser supply (InP → EML/CW) → Bottleneck today = pricing power tomorrow This isn’t a single stock trade. It’s a full-stack infrastructure shift — like semis in the early 2000s. The winners won’t just be chipmakers… They’ll be the ones enabling light-speed data movement. Not financial advice. DYOR. Bookmark this, retweet for others

@kaizen_investorApr 10, 2026 · 2:08 PM

As I'm 20% cash, I'm going to do some extra research this weekend. Companies I’m going to look into this weekend: $ALAB $CRDO $VRT $GEV $NEE $BWXT $VIAV $AXTI $SPIR $DRAM $AMKR $VPG Here is my method 👇

@kaizen_investorApr 5, 2026 · 8:13 PM

War-driven energy inflation is inevitable, but companies solving the AI bottleneck are uniquely positioned to protect their margins. Their critical role gives them the pricing power to simply pass costs onto customers. As a result, these bottleneck companies could emerge as prime investment opportunities during market corrections. - Memory and HBM: SK Hynix, Samsung Electronics, $MU - Packaging and OSAT: ASE Technology, $AMKR, JCET Group - Server and Rack Integration: $SMCI, $DELL, $HPE, Foxconn - Networking Silicon: $AVGO, $MRVL, $CSCO, $ANET - Photonics and Optical Components: Ayar Labs, $ALAB, $CRDO, $COHR, $LITE - Power, Thermal management and Grid: $VRT, $MOD, $NVT, $SU.PA, $IREN, $CIFR

@jasonl_capitalMar 30, 2026 · 3:26 PM

These stocks may be worth buying on future dips: AI Compute: $NVDA $AMD $AVGO AI Memory: $MU AI Infrastructure: $IREN $NBIS $VRT Networking: $MRVL $ANET $ALAB Photonics: $AAOI $LITE $COHR Power / Energy: $CEG $OKLO $VST $BE Robotics / Autonomy: $TSLA $AMZN Drones / Defense: $ONDS $KTOS $AVAV Satellites / Space: $ASTS $RKLB $LUNR $PL Digital Finance: $HOOD $CRCL $SOFI The market is giving you discounts on the next decade of growth. Take advantage.

@kaizen_investorMar 14, 2026 · 9:23 PM

Big companies are announcing huge layoffs. $AMZN to cut 30,000 jobs, $META potentially 15,000 jobs. $ORCL, $XYZ, $CRM, $ASML,… all announced cuts as well. It’s not that those companies are doing badly financially, they report record earnings with growing margins. They all expect a lot from AI. What we saw from perplexity yesterday is a first glimpse of what AI will be able to do in the near future. With jobs being cut, more and more money will flow towards R&D and more importantly the CapEx. Everyone is investing in AI and those numbers will only increase. We are still in the early stages of AI and the supply chain is still evolving. There are some major bottlenecks forming that are slowing down the progress of AI. The most profitable companies are spending billions to make sure they can control these bottlenecks. This creates possibilities for investors. The major bottlenecks at the moment: - Memory and HBM: SK Hynix, Samsung Electronics, $MU - Packaging and OSAT: ASE Technology, $AMKR, JCET Group - Server and Rack Integration: $SMCI, $DELL, $HPE, Foxconn - Networking Silicon: $AVGO, $MRVL, $CSCO, $ANET - Photonics and Optical Components: Ayar Labs, $ALAB, $CRDO, $COHR, $LITE - Power, Thermal management and Grid: $VRT, $MOD, $NVT, $SU.PA, $IREN, $NBIS, $CIFR No financial advice

@kaizen_investorMar 4, 2026 · 4:47 PM

I have written a full article on the AI chip supply chain. The supply chain is structured into 4 different phases with 13 layers: 1. Raw Materials: $SHECY, $SUOPY, GlobalWafers, $WAF.DE, $SHWDF, $AXTI, $IQE 2. Manufacturing Equipment: $ASML, $ASM.AS, $AMAT, $LRCX, $KLAC 3. EDA & Core Intellectual Property: $SNPS, $CDNS, $ARM, $RMBS 4. Chip Design: $NVDA, $AMD, $INTC, $QCOM 5. Foundries: $TSM, Samsung Semiconductor, $SMIC 6. Memory and HBM: SK Hynix, Samsung Electronics, $MU 7. Packaging and OSAT: ASE Technology, $AMKR, JCET Group 8. Server and Rack Integration: $SMCI, $DELL, $HPE, Foxconn 9. Networking Silicon: $AVGO, $MRVL, $CSCO, $ANET 10. Photonics and Optical Components: Ayar Labs, $ALAB, $CRDO, $COHR, $LITE 11. Power, Thermal management and Grid: $VRT, $MOD, $NVT, $SU.PA, $IREN, $CIFR 12. Hyperscalers: $AMZN, $GOOGL, $MSFT, $META 13. AI Storage, platforms and Data: VAST data, Weka, NetAPP, $PLTR, Blue Yonder, $KXSCF The article covers it all.

@rwang07Nov 5, 2025 · 1:01 PM

$ALAB expects scale-up optics to begin contributing meaningfully to revenue around 2028–2029 — a reasonable timeline in my view. The 800G rev impact is expected to start in 2026 based on management's comment. https://t.co/9YcLQQCzxn

@rwang07Nov 5, 2025 · 12:52 PM

Good technical explanation on UALink and Scorpio by $ALAB. https://t.co/iw6Vdxg1rX

@rwang07Nov 5, 2025 · 12:52 PM

Good technical explanation on UALink and Scorpio by $ALAB. https://t.co/TT5UP6seAr

@rwang07Nov 5, 2025 · 12:43 PM

3) Too lazy to make a freakingly long post (like what I did for Hynix) on $ALAB's transcript this Q, but there are a lot of good stuff worth a read. Recommend it. https://t.co/dmyuwUV6ci

@rwang07Nov 5, 2025 · 12:43 PM

2) Personally, I’m not a fan of UALink, but $ALAB core businesses — switches, PCIe, and retimers — are performing well. Management also seemed to hint at a potential inflection point in 2026 (at least that’s how I interpreted it). https://t.co/VKDPvr6qgZ

@rwang07Nov 5, 2025 · 12:43 PM

1) Interesting that $ALAB is down AH yesterday. Went through the transcript of the call on Tuesday, which I personally think is quite positive. https://t.co/JZ3hZ0K8SF

@rwang07Oct 20, 2025 · 11:48 AM

$AVGO leading the push for SUE as an open infrastructure standard, with support from partners such as $AMD, $ANET, $CSCO, and $CRDO — while UALink-related companies like $ALAB may face increased competitive pressure. Note from GF Securities's observation in OCP.

@rwang07Oct 14, 2025 · 4:52 PM

Landed SF, open Robinhood, $ALAB down 13%😂

@rwang07Oct 14, 2025 · 3:20 AM

@KreizJordy UALink. If AMD keep doing UALink and works well in the end, it should benefit $ALAB (obviously

@rwang07Oct 6, 2025 · 10:39 PM

Switches are the real key here. $ALAB should take a W here. If $AMD ultimately uses $AVGO scale-up solutions will be FUNNY.

@rwang07Sep 24, 2025 · 1:31 PM

$ALAB?

@rwang07Sep 22, 2025 · 4:59 PM

Reading through the statement: "OpenAI will work with NVIDIA as a preferred strategic compute and networking partner for its AI factory growth plans." $ALAB $NVDA $AVGO https://t.co/qDOyKIGCOk

@rwang07Sep 22, 2025 · 9:57 AM

Promise this is my last self-promotion on this piece (should be a good Monday read tho). $INTC $ALAB $NVDA $ARM $LRCX $SNPS $AMAT $TSM

@semianalysis_Aug 24, 2025 · 11:23 PM

This morning at hotchips, NVIDIA presented their MGX "open" compute tray architecture, in the front of the tray, they have designed slot for hyperscalers to customize the design such as putting in custom NICs. Instead of using four cx-7/8 backend NICs, AWS uses this space to put nine 200GbE k2v5 NICs. 1 for the frontend and the other 8 are for the backend for the 4 gb200 GPUs in the tray. They r connected to the GPU via $ALAB switches. Due to AWS being the only hyperscaler to customize their gb200 nvl72 backend NICs, their time to market (TTM) is significantly slower.