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WireSift Research · AI Adoption Tracker · Q1 2026

SMCISuper Micro Computer, Inc.

AI revenue and adoption · Q1 2026 earnings call

Information TechnologyMonetizing
AI mentions
16
extracted from this call
Max specificity
5 / 5
financialized — dollar / segment level
AI revenue
Disclosed
qualitative only
AI infrastructure demand is the dominant revenue driver for SMCI, with AI GPU-related platforms contributing over 80% of Q3 revenue. Management frames the company as evolving from a server manufacturer into a total AI data center solution provider, with its Data Center Building Block Solutions (DCBBS) business — encompassing liquid cooling, networking, software, and services — as the key margin-expansion vehicle. Charles Liang expressed strong bullishness about AI and data center growth, citing record backlog and targeting $40B in full-year FY26 revenue. Specific AI product lines mentioned include NVIDIA GB300 NVL72, AMD MI350/MI400, and Arm AGI GPU-based solutions optimized for agentic AI workloads.
AI Revenue Disclosure
% of total
80
Method: qualitative only
AI GPU-related platforms contributing over 80% of revenue.
Public Company AI Adoption Index
Beneficiary
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Composite
75/ 100
#45 overall · #35 in Information Technology
Depth · 40%
100
stage: monetizing · max spec: 5
Disclosure · 40%
55
rev: qualitative_only · 3 quant outcomes
Breadth · 20%
65
2 scopes
Adoption scopes:product_standaloneinfrastructure_build
Every claim, sourced

16 AI mentions from this call.

Extracted verbatim from the SMCI Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.

  • T5Prepared remarks· CEO· Standalone AI product
    The revenue from this new software product line is finally growing at a tremendous pace, increasing from less than $10 million per quarter just a few quarters ago to $34 million last quarter, and more than $46 million booked for this quarter.
    Charles Liang, SMCI earnings call
    ProductsSuperCloud Composer
  • T5Prepared remarks· CFO· Vendor supply
    Orders and backlog remains strong across our customer base, driven by AI infrastructure demand with AI GPU-related platforms contributing over 80% of revenue.
    David Weigand, SMCI earnings call
  • T4Q&A· CEO· Vendor supply
    Analyst questionparaphrased· JPMorgan· Manmohanpreet Singh
    in your last call, you mentioned DCBBS contributions to profits during first half of about 4%. Can you please update how did it track during the quarter? And how much of a driver was that relative to gross margin improvement that you saw during the quarter?
    In next 2 years, I personally expect at least 20% of our net income will be from DCBBS, including the management software.
    Charles Liang, SMCI earnings call
    ProductsDCBBS, SuperCloud Composer
  • T4Prepared remarks· CEO· Vendor supply
    And I believe our DCBBS will soon contribute more than 25% of our total profit in the coming few years.
    Charles Liang, SMCI earnings call
    ProductsDCBBS
  • T4Prepared remarks· CEO· Infrastructure build
    we are on track to produce more than 6,000 of the world's most powerful [ AOR ] rack per month.
    Charles Liang, SMCI earnings call
  • T3Prepared remarks· CEO· Vendor supply
    Our data center end-to-end management software. We see significant demand for the Super Micro data center and cloud software suite. including our SuperCloud Composer that manage tens of thousands of systems or racks in real time. It provides comprehensive control over system and rack level power usage, cooling status, safety condition and device utilization alongside many other critical features. Our management software feature also include advanced CPU and GPU workload orchestration, which is a critical function for today's AI data center.
    Charles Liang, SMCI earnings call
    ProductsSuperCloud Composer
  • T3Prepared remarks· CEO· Vendor supply
    Super Micro is evolving from a U.S.-based server designer and manufacturer into a total data center solution provider. We expand our business to help customer planning, building, deploying and servicing data center infrastructure for global enterprise and NeoCloud provider, especially. Our DCBBS business is essential to this transformation, providing almost everything a customer needs to build an AI factory, including cooling units, networking, power cell, battery backup, management software and many other data center subsystems.
    Charles Liang, SMCI earnings call
    ProductsDCBBS
  • T3Prepared remarks· CEO· Vendor supply
    we are currently shipping many SKUs of the latest rack scale systems, including GB300 NVL72, [ MNB-300 HGXQ ], B200 NVL4 and inferencing application optimized RTX product lines. And we are preparing to be among the first to market with the new Vera Rubin systems, including the NVL72 SuperCluster.
    Charles Liang, SMCI earnings call
    PartnersNVIDIA
    ProductsGB300 NVL72, B200 NVL4, RTX, NVL72 SuperCluster
  • T3Prepared remarks· CEO· Vendor supply
    we are working closely with Intel and Arm on the development of upcoming Xeon 6+ platforms and a new addition to our portfolio, including Arm AGI GPU-based solutions. This system will deliver exceptional performance per watt, specifically optimized for the growing demand of agentic AI workloads.
    Charles Liang, SMCI earnings call
    PartnersIntel, Arm
    ProductsXeon 6+, Arm AGI GPU
  • T3Prepared remarks· CEO· Vendor supply
    We continue to build on strong momentum of our AMD MI350 platform as we prepare for the next generation of AMD Helios solutions, featuring EPYC Venice and MI400 series of products.
    Charles Liang, SMCI earnings call
    PartnersAMD
    ProductsMI350, MI400, EPYC Venice
  • T2Q&A· CEO· Vendor supply
    Analyst questionparaphrased· Northland Capital Markets· Nehal Chokshi
    thinking about the significant improvement in gross margin, would you bucket that more towards DCBBS ramp or more towards a reduction in your 10% customer going from 63% to 27%?
    we have more and more partnership that we not just build the AI server, not just the storage, but we have customer deployment and build a whole data center with DCBBS total solution.
    Charles Liang, SMCI earnings call
    ProductsDCBBS
  • T2Prepared remarks· CEO· Vendor supply
    Our focus remains on delivering the fastest time to online, TTO, in the industry, ensuring our customers can scale their AI factories quickly and most efficiently.
    Charles Liang, SMCI earnings call
  • T2Q&A· CEO· Vendor supply
    Analyst questionparaphrased· Northland Capital Markets· Nehal Chokshi
    thinking about the significant improvement in gross margin, would you bucket that more towards DCBBS ramp or more towards a reduction in your 10% customer going from 63% to 27%?
    We start to grow many more enterprise customer, and we will continue that direction. So that will improve our gross margin and net margin as well.
    Charles Liang, SMCI earnings call
  • T2Q&A· CEO· Customer demand signal
    Analyst questionparaphrased· Bernstein· Mark Newman
    within enterprise, is that AI server? Or is this more traditional server?
    for AI enterprise, I mean, a lot of gen AI kind of inferencing application. So we see a very strong demand there.
    Charles Liang, SMCI earnings call
  • T2Prepared remarks· CEO· Customer demand signal
    Business remains very strong in the NeoCloud, sovereign AI and Agent AI segment.
    Charles Liang, SMCI earnings call
  • T1Prepared remarks· CEO· Vendor supply
    keeping Super Micro at the center of our AI revolution. With that, I remain very bullish about our growth in the AI and data center market.
    Charles Liang, SMCI earnings call
Q&A Dynamics

What management wouldn’t quantify.

Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.

  1. DCBBS gross profit percentage or dollar contribution not disclosed for Q3; management indicated they will provide this metric 'when the percentage continues to grow.'
  2. Backlog dollar amount not disclosed despite multiple analyst questions; management only confirmed it is at a 'record high.'
  3. Sovereign AI revenue contribution not quantified despite being named as a key growth segment.
  4. Agentic AI workload demand not quantified; mentioned only directionally.
  5. No explicit disclosure of GPU allocation volumes or NVIDIA supply agreement terms.
  6. DCBBS revenue as a percentage of total revenue not disclosed for Q3.
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Sourced from primary documents · See the methodology for the extraction approach.