SMCI reported among the top 3 pain points for Shorts

SMCI reported among the top 3 pain points for Shorts

Palantir was the the worst pain point for Shorts, but SMCI came in as number 3 with Shorts losing an estimated $1.3 Billion on paper. SMCI squeeze score is listed at 100, the max level.

Short Sellers Are Losing Big on Palantir — Here's the Data

BENZINGA 12:30 PM ET 8/19/2026

Palantir Technologies Inc. (PLTR) has become the single biggest pain point for short sellers in a market rally that is squeezing bears across the board, according to new data from S3 Partners. 

The firm tracks a basket of stocks that score 70 or higher on its 0-100 squeeze scale, meaning conditions are ripe for shorts to get forced out of their positions. Twenty-four names currently qualify for that basket, and the cohort has climbed 13.4% month-to-date, pressuring short sellers across the board.

Palantir’s Outlier Position

Short interest in Palantir(PLTR) now totals $12 billion. That’s the largest dollar short in the basket and well above its $3.37 billion average. The stock is also the group’s biggest gainer, up 41.4% month-to-date. It carries the largest mark-to-market loss for shorts at $5 billion. 

Read Also: Moderna's Cancer Vaccine Win Is Merck's Story Too

Benzinga’s short-interest tracker shows bets against Palantir(PLTR) have generally kept growing even as the stock climbs, adding to those unrealized losses. Yet the position covers just 3% of float, leaving the stock with the lowest crowded score in the basket at 32.5. 

Few short sellers are involved, but those involved picked the wrong side.

Mark-To-Market Losses Mount

Recent mark-to-market losses across the basket total roughly $15 billion, and close to two-thirds of that sits in just three names. Palantir(PLTR) accounts for $5 billion, followed by Lumentum Holdings Inc.(LITE) at $3.1 billion and Super Micro Computer Inc.(SMCI) at $1.3 billion. 

All three are also the basket’s biggest movers, each up more than 34%.

The Squeeze Score

S3 Partners builds its squeeze score on top of a separate crowded score, which grades how tightly packed a short position is using short-dollar size, stock loan liquidity, trading volume and short interest. The squeeze score then layers on rising stock-borrow costs and mark-to-market losses, since those factors typically force short sellers to cover.

Palantir’s pain fits a broader pattern across the basket, where the average squeeze score now sits at 80.8. 

Fox Corp. (FOXA) , Workday Inc.(WDAY) and Super Micro all hit the maximum reading of 100. 

Leon Gross , S3 Partners’ director of research, summed up the dynamic: a rising market acts like the tide, lifting all boats — and every squeeze score with them.

The Most Crowded Shorts

Charter Communications Inc. (CHTR) and Fox carry the heaviest crowding scores, at 85 and 80, followed by **EchoStar Corp.(ECHO)**and **Skyworks Solutions Inc.(SWKS)**at 77.5 each, against a 62.0 average. 

Benzinga’s tracking shows Charter Communications’ short interest at 50.40% of its float, the heaviest in the basket.

u/Busy-Delivery4250 — 14 hours ago

SMCI CEO decided to quickly double revenue with additional financing

Cash flow projections can vary greatly depending on the initial assumptions, but the path chosen gives Charles Liang the best chance of achieving his $110 stock price Performance Award Target. I've constructed an FY27 framework to compare against actual performance as the year unfolds.

Parabolic growth scenario after dilutive financing (economy of scale, best leverage from robotics and automation, potential for re-rating, and most importantly fastest Time to Online (TTO) :

Scenario Revenue GM Net Income EPS Fair Value (7.8×) Re-rated (12×) Re-rated (15×)
Bear $65B 13% $5.53B $8.01 $63/share $96/share $120/share
Base $72B 15% $7.56B $10.96 $86/share $131/share $164/share
Bull $80B 17% $10.00B $14.49 $114/share $174/share $217/share

Strong growth scenario without dilutive financing (path not chosen):

Scenario Revenue GM Net Margin Net Income EBITDA/share Fair Value/share
Bear $50B 11% 6.5% $3.25B $6.33 $45–50/share
Base $55B 12% 7.5% $4.13B $7.67 $55–60/share
Bull $60B 13% 8.5% $5.10B $9.00 $65–70/share
u/Busy-Delivery4250 — 4 days ago

SMCI is gaining traction with Enterprise customers creating durable margin gains

Supermicro announces Fiscal Year 2026 Q4 financial results.

Highlights:
▸Net sales of $11.1 billion versus $10.2 billion in Q3'26 and $5.8 billion in Q4'25.
▸Gross margin of 17.5% versus 9.9% in Q3'26 and 9.5% in Q4'25.
Net income of $1,178 million versus $483 million in Q3'26 and $195 million in Q4'25.

"Our Total AI/IT Solutions strategy continues to deliver strong results, we added several hundred enterprise and other customers in the past year, generated more than $60 billion in new orders, and booked record backlog entering fiscal 2027," said Charles Liang Founder, President and CEO of Supermicro. "As demand accelerates, we are improving profitability through a richer enterprise customer mix and broader adoption of our optimized Data Center Building Block Solutions® (DCBBS) architecture. Combined with continued investment in technology leadership, manufacturing scale, and global compliance, we are enabling customers to deploy AI infrastructure faster and more efficiently."

Thanks to our customers, partners, and the Supermicro team for making this quarter an extraordinary success!

I expected the DCBBS margin contribution but the Enterprise strength was a nice surprise. They've strengthened the Sales organization to help support and grow the Enterprise market.

u/Busy-Delivery4250 — 6 days ago

SMCI Tamil Nadu Sovereign AI expansion win in India in addition to Gorilla/Yotta

CHENNAI, Aug 13 (Reuters) - India's Tamil Nadu state said it signed agreements worth 150.5 billion rupees ($1.58 billion) for 16 new projects by overseas investors, including France's Saint-Gobain and U.S. server maker Super Micro Computer(SMCI), as part of a broader investment push...

https://www.reuters.com/world/india/indias-tamil-nadu-sign-pacts-158-billion-new-projects-by-overseas-firms-source-2026-08-13/

SMCI has an earlier Sovereign AI project win in India:

https://investors.gorilla-technology.com/gorilla-technology-announces-2-billion-ai-infrastructure-deal-in-india-with-supermicro-expanding-strategic-collaboration-across-asia-pacific/

Vik Malyala, CBO was in India earlier in the year developing the SMCI Sovereign AI India strategy:

https://www.linkedin.com/posts/malyala_dcbbs-indiaai-aiinfrastructure-activity-7431183182047338497-gw-o/

u/Busy-Delivery4250 — 7 days ago

SMCI CEO saw this coming: Nvidia will partner with Wall Street asset managers on a $500 billion AI infrastructure push.

Jensen Huang just dropped a $500 Billion dollar pebble into the funding pool and the ripples will potentially amplify 10x+ into trillions of AI infrastructure spend.

https://www.cnbc.com/2026/08/10/cnbc-exclusive-transcript-cnbcs-becky-quick-speaks-with-nvidias-jensen-huang-wall-street-leaders-on-500b-ai-infrastructure-push-on-closing-bell-overtime-today.html

Charles Liang saw this coming and has positioned SMCI to grow exponentially with the expected resurgence of AI infrastructure funding. Elon Musk saw it too, calling AI a supersonic tsunami. The funding tsunami has been triggered.

u/Busy-Delivery4250 — 9 days ago

SMCI’s $60B Q4 orders, Dell downgrade, and SpaceX synergies

SMCI’s $60B Q4 orders, Dell downgrade, and SpaceX synergies

Failsafe Coolant Reveal (June 1)
Liang’s COMPUTEX keynote introduced SMCI’s proprietary Failsafe non‑conductive coolant. This wasn’t a minor product update — it expanded the DLC‑2 moat in a way analysts still haven’t priced in. Leak anxiety is real in liquid‑cooled deployments; Paul Mah’s LinkedIn post about coolant leaks wiping out entire racks and the cleanup aftermath shows why. SMCI wouldn’t likely announce a breakthrough coolant like this unless customers under NDA, NVIDIA and AMD had already run long test cycles validating materials compatibility, electrical behavior, thermal stability, and long‑duration reliability. That kind of testing happens quietly over months, not days.

$39B Orders Announced (June)
Right after the coolant reveal, SMCI disclosed $39B in new orders and dilutive financing. The dilution dominated the news cycle, but strong demand visible to Charles Liang has been building under NDA.

Q4 Intake Clarified at $60B+ (July)
In July, SMCI clarified that the total Q4 intake was $60B+. The June number was only part of the quarter. One quarter’s orders exceeded Dell’s entire $43B AI backlog. That’s when it became obvious the competitive landscape had shifted.

GF Securities Reacts (August)
GF Securities had already upgraded SMCI in May (PT $48), before any of these numbers were public. After SMCI’s $39B and $60B disclosures, GF downgraded Dell in August, citing server share pressure.

Early August: DataVolt Says NEOM Oxagon Will Break Ground Within Months
In early August, DataVolt said the 1.5GW AI data‑center campus at NEOM Oxagon is expected to break ground “within the next two to three months.” This matters for SMCI because sovereign AI customers don’t just buy racks; they buy full‑stack consulting, hardened facility design, cooling architecture, and integration services. These projects involve high‑margin engineering work: designing power centers, hardened rooms, liquid‑cooling layouts, and secure compute zones. Oxagon is explicitly planned as a net‑zero, high‑density AI campus with advanced cooling and energy‑efficient architectures. That’s exactly the kind of environment where SMCI’s DLC‑2 coolant, rack‑level integration, and “AI factory” model shine. As more sovereign AI customers follow Saudi Arabia’s lead, SMCI’s consulting and hardened‑facility revenue becomes a meaningful margin lever.

SMCI’s Long Term Growth Strategy
Liang isn’t a typical CEO. He’s a founder, major shareholder, takes a $1 salary, and has long‑term performance incentives ($110 PT). When he said in May that SMCI could grow with existing financing but would need more capital if revenue doubled, he likely already had visibility into large projects under NDA. The financing move fits the parabolic‑growth playbook: take dilution early to expand manufacturing capacity, then shift toward debt once EBITDA and backlog stabilize.

SpaceX/xAI Compute Economics
SpaceX/xAI recently said their compute deployments have less than one‑year payback and that they’re on track for $100B annualized revenue. When compute economics look like that, the company offering the best AI Factory TTO grows parabolically. Charles Liang is excited to work with SpaceX/xAI and has talked about future collaboration on TeraFab and Space based compute.

Bear Talking Points
SMCI already said Financials remediation is ongoing, and will likely run into FY2027 given the record setting revenue growth. An adverse opinion on internal controls doesn’t mean the financials are wrong — it means the systems need modernization and enhancement to match the scale of the business. That’s normal for companies growing faster than their accounting infrastructure. DOJ rumor‑based fearmongering pops up every quarter and has never been backed by any filing, disclosure, or action against SMCI.

What August 11 Earnings Will Clarify
FY2027 guidance will show how durable this demand cycle is. But the combination of SMCI’s $60B Q4 orders, GF’s upgrade SMCI/downgrade Dell sequence, the June 1 coolant reveal, SpaceX/xAI compute economics, and now DataVolt’s early‑August confirmation that NEOM Oxagon is moving into construction — all point toward structural demand rather than a temporary spike.

u/Busy-Delivery4250 — 10 days ago

Will SMCI provide an update? DataVolt NEOM Oxagon 1.5 GW AI Factory scheduled for groundbreaking Q2FY27.

DataVolt put out an update saying the NEOM Oxagon 1.5GW AI campus is expected to break ground in the next couple of months.

https://www.agbi.com/tech/2026/08/neom-to-start-constructing-oxagon-ai-data-centre-in-months/

In hindsight, announcing the DataVolt partnership 15 months ago allowed fear, uncertainty and doubt to grow after the initial positive response.

https://data-volt.com/media/breaking-news/datavolt-announces-landmark-deal-with-supermicro-to-accelerate-adoption-of-rack-scale-total-liquid-cooling-it-solutions-for-future-ready-ai-data-centers/

Investors would welcome an update from SMCI. The AI Factory architect doing the design consulting work for these Giga Watt Sovereign AI Factories would be receiving substantial high margin fees from the concept stage right up to final implementation.

What if the $20+ Billion SMCI DataVolt partnership announcement were made now this week instead of 15 months ago?

u/Busy-Delivery4250 — 10 days ago
▲ 42 r/SMCIDiscussion+1 crossposts

SMCI Customer Elon Musk says AI is a Supersonic Tsunami

SpaceX/xAI earnings call

SpaceX CFO Says Current Economics Have Translated Into A Less Than One-Year Payback On Our New Capital Deployments For Compute; Sees $100B Annualized Revenue Run Rate By End Of This Year

With these numbers, SMCI should consider spinning off a Neo-Cloud subsidiary.

u/Busy-Delivery4250 — 16 days ago

Construction continues to progress for Supermicro's new state-of-the-art Silicon Valley campus.

The facilities will support a full range of operations, including advanced system design, domestic manufacturing, testing, service, and global distribution of the company’s Data Center Building Block Solutions ® (DCBBS) for AI infrastructure. Expect productivity, quality and margin gains from state of the art robotics and automation used in manufacturing and testing.

This physical footprint is the ultimate operational counterweight to the market's current fear, uncertainty and doubt loop. While armchair critics focus on short-term regulatory timelines, SMCI has successfully built an infrastructure moat that competitors cannot easily copy.

Yesterday, Vertiv earnings reported weakness in the EMEA region. SMCI is reporting strength in the EMEA region and has strategically located support resources:

The Netherlands (The EMEA Gateway)

  • The Scale: Strategically positioned European tech hub.
  • The Operational Focus: Handles localized system integration, logistics, customization, and deployment services for European cloud providers and Middle Eastern sovereign AI data centers.

By locking down millions of square feet of live factory space and backing it with up to 6000 racks per month (up to 2000-3000 liquid cooled and advanced liquid cool racks) of worldwide delivery capacity, the physical engine is fully primed. They possess the floor space, the active power connections, and the geographic distribution required to turn their $100 billion visible pipeline into revenue—mathematically clearing the path toward the $110 long-term CEO share price award target.

u/Busy-Delivery4250 — 21 days ago

SMCI BOD set a performance award price target of $110 for CEO

SMCI’s CEO effectively had two paths: pursue solid FY2027 growth in the $50B–60B range with no new financing, or push for much faster, parabolic growth above $100B even if that required dilutive funding. He chose the higher-growth path, and it could push the stock above the board’s $110 performance-award threshold by the time the fear, uncertainty and doubt about DOJ and adverse opinions fade.

Today, SMCI is a substantially larger company with valuable DCBBS/DLC2 IP on trajectory to enter the elite Fortune 100 ranks. Billionaire shareholder CEO is tasked with growing the market cap against a substantial short interest headwind. Anyone that has grown a business understands the need to invest in establishing the product sales pipeline that leads to EBITDA and market cap growth.

The SMCI BOD believes $110 stock price and $21 billion in sales is an attainable goal. In fact, SMCI is on pace to achieve $21 billion in sales in one quarter, not one year.

I'm hoping they stay conservative with guidance on Aug. 11 earnings, but based on the manufacturing capacity growth and announced reserve capacity SMCI is expecting parabolic business growth.

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u/Busy-Delivery4250 — 22 days ago

Supermicro Introduces New Server Portfolio with 6th Gen AMD EPYC™ 9006 Series CPUs, Delivering 1.7x Generational Performance Improvements

https://preview.redd.it/668x9pz041fh1.jpg?width=399&format=pjpg&auto=webp&s=4c43abf421325fab4efa21f50886dbce8b387fc7

PR NEWSWIRE 2:35 PM ET 7/23/2026

  • 33% more cores, 2X PCIe Bandwidth and 2.6X higher memory bandwidth supercharge high-performance workloads
  • Powered by 6 ^(th) Gen AMD EPYC CPUs and AMD Instinct™ GPUs, comprehensive rack-scale systems, built on DCBBS architecture, are optimized for Cloud, Enterprise, Storage, HPC and AI workloads
  • Industry's broadest portfolio also includes the 72-GPU AMD Helios Platform, designed for large-scale AI training and high-throughput inference

SAN JOSE, Calif. , July 23, 2026 /PRNewswire/ -- Super Micro Computer, Inc.(SMCI) , an AI, Enterprise, Storage, and 5G/Edge Total IT Solution Provider featuring Data Center Building Block Solutions^(®) (DCBBS), today announced its next-generation H15 server portfolio powered by 6^(th) Gen AMD EPYC™ 9006 Series CPUs, optimized for next generation GPUs including AMD Instinct™, and connected by AMD Pensando™ networking. With up to 256 cores and 512 threads, H15 systems meet the growing compute demands of cloud, enterprise, storage, high-performance computing (HPC), and agentic AI workloads. With breakthrough 1.7x generational CPU performance improvement^(1), expanded memory and I/O bandwidth, and industry-leading compute density, customers are now able to run more concurrent AI agents, accelerate enterprise applications, and maximize host-node performance while operating within existing power envelopes.

"The latest AMD powered additions to our DCBBS family deliver the next generation of AI infrastructure, optimized for high performance, rapid scalability, and peak efficiency," said Vik Malyala, Chief Business Officer at Supermicro. "Backed by our global services team, resilient U.S. supply chain, and consistent investment in US AI innovation, we continue to help customers deploy and scale AI with confidence."

Learn more about Supermicro's portfolio of AMD servers here, and in this video summary. 

"As enterprises scale agentic AI, they need infrastructure that delivers exceptional performance, efficiency, and flexibility," said Dan McNamara, senior vice president and general manager, Compute and Enterprise AI, AMD. "By combining the latest AMD EPYC CPUs, Instinct GPUs, and AMD Pensando networking with Supermicro's modular server and rack-scale designs, customers can deploy AI infrastructure faster while improving utilization, reducing energy consumption, and lowering total cost of ownership."  

H15 Portfolio Delivers Optimized Infrastructure for Every Workload

The new H15 portfolio includes purpose-built systems optimized for a broad range of enterprise and AI infrastructure deployments:

Hyper – The flagship dual-socket platform engineered for enterprise applications, AI inference, virtualization, and cloud workloads, with advanced thermal design to support the highest-performance AMD EPYC processors. 

CloudDC – A single-socket or dual socket server designed for cloud-scale environments and built on the Open Compute Project (OCP) Data Center Modular Hardware System (DC-MHS) specification for compatibility with open data center standards.

GrandTwin® – A high-density 2U, four-node architecture designed for scale-out environments including object storage, virtualization, cloud services, and high-performance computing.

FlexTwin™ – A 1OU, two-node, high-performance, high-density dual CPU compute system that maximizes compute density and power efficiency for cloud-native and hyperscale deployments using liquid cooling.

Petascale Storage – 1U and 2U high-capacity all-flash storage platforms optimized for software-defined storage-based AI data lakes, large-scale analytics, and HPC environments supporting up to 4.8 PB per system.

SuperBlade® - H15 8U 10 SuperBlade represents next-generation, rack-scale breakthrough architecture for HPC, AI inference, agentic AI, and enterprise-class compute workloads with CPU and GPU. The platform supports both single-socket and dual-socket blade configurations - with both air and liquid-cooled versions optimized for maximum density, high performance, and efficiency, across a wide range of infrastructure deployments.

Expanding AMD GPU-Powered AI Infrastructure

Complementing the H15 server portfolio, Supermicro continues to expand its AMD GPU-powered AI infrastructure with new PCIe GPU servers and the rack-scale Supermicro AMD Helios Platform. As shown at Computex 2026, these solutions provide organizations with flexible deployment options ranging from enterprise AI inference to large-scale AI training.

5U PCIe GPU Servers Powered by AMD Instinct™ MI350P GPUs

The Supermicro AS -5126GS-TNRT and AS -5126GS-TNRT2 are designed to maximize the performance of AMD Instinct MI350P PCIe GPUs. Supporting up to ten GPUs in a standard 5U air-cooled platform, these systems deliver exceptional AI acceleration while operating within existing data center power and cooling infrastructures.

By combining Supermicro's high-density PCIe architecture with AMD Instinct MI350P GPUs featuring up to 144GB of HBM3e memory and support for low-precision AI formats, organizations can accelerate AI inference and training while improving infrastructure efficiency, reducing data center footprint, and lowering total cost of ownership.

Open Ethernet Networking with AMD Pensando™ Pollara 400 AI NIC

The AMD Pensando Pollara 400 AI NIC provides high-performance, open Ethernet networking for AI infrastructure, enabling front-end, storage, and scale-out connectivity for AMD Instinct MI350P-based systems with the high bandwidth, low latency, and efficiency required for AI training and inference. Together, AMD Instinct MI350P GPUs and the AMD Pensando Pollara 400 AI NIC enable customers to build open, high-performance AI clusters that scale from a single server to large multi-rack deployments using standard Ethernet infrastructure.

Supermicro AMD Helios Platform 

For organizations deploying frontier AI models, Supermicro is collaborating with AMD to deliver the Supermicro AMD Helios Platform, a 72-GPU rack-scale solution designed for large-scale AI training and high-throughput inference.

The liquid-cooled platform combines AMD Instinct MI455X GPUs, 6^(th) Gen AMD EPYC processors, AMD Pensando networking technologies, and the AMD ROCm™ software stack to create an open, high-performance AI infrastructure. Supporting deployments of every size, the platform enables customers to scale efficiently while maximizing performance, energy efficiency, and operational flexibility.

Supermicro's DCBBS brings these technologies together as complete, validated AI infrastructure, enabling organizations to deploy solutions ranging from individual servers to fully integrated rack-scale and data center-level systems. With industry-leading design, manufacturing, liquid cooling, networking, software, and global support services, Supermicro continues to help customers accelerate AI adoption while reducing deployment time, improving energy efficiency, and lowering total cost of ownership.

For a detailed product demonstration led by Supermicro experts, be sure to stop by the Supermicro booth at AMD Advancing AI Day 2026, July 22–23, 2026, at Moscone West in San Francisco. Supermicro will also be displaying the densest EPYC 9006 rack implementation with 96 EPYC 9006 CPUs in a 42U rack using the FlexTwin system which will be shown in the AMD display area.

^(1)1.7X performance improvement based on SPECInt Rate 2017 results published by AMD.

AMD just announced a partnership with Cerebras Wafer-scale engine and Helios today at Advancing AI event. SMCI and Cerebras racks are both hosted at DGXX site.

reddit.com
u/Busy-Delivery4250 — 28 days ago

Supermicro Provides Fourth Quarter of Fiscal Year 2026 Preliminary Business Update

7/17/26 "I see a future Fortune 100 company that is worth $100 being offered for less than $25."

7/21/26 I see a future Fortune 100 company that is worth $100 being offered for less than $30

Supermicro Provides Fourth Quarter of Fiscal Year 2026 Preliminary Business Update

BUSINESS WIRE 4:05 PM ET 7/21/2026

SAN JOSE, Calif.--(BUSINESS WIRE)-- Super Micro Computer, Inc.(SMCI) (“Supermicro” or the “Company”), an AI, Enterprise, Storage, and 5G/Edge IT Total Solution Provider, featuring Data Center Building Block Solutions® (DCBBS), today is providing a preliminary business update for the fourth quarter of fiscal year 2026 (Q4’26), ended June 30, 2026, and schedules earnings call for August 11th at 5pm EDT.

  • Revenues for the fourth quarter of fiscal year 2026 are estimated to be near the low end of our guidance of $11.0 billion to $12.5 billion.
  • GAAP and non-GAAP gross margins are estimated to be in the range of 15% to 17% which is significantly higher than our guidance of 8.2% to 8.4%, primarily due to a favorable customer and product mix.
  • Backlog rose to record levels at the end of fiscal 2026 with total new orders in excess of $60 billion received during the fourth quarter of fiscal 2026. These new orders are expected to be delivered over future quarters.

This unaudited financial information is based on preliminary results and management's estimates and is inherently uncertain and subject to revision in connection with the Company's financial closing procedures and finalization of the Company's financial statements for its fourth quarter of fiscal year 2026. Actual results for the fourth quarter of fiscal year 2026 may differ materially from these preliminary unaudited financial results.

Conference Call and Webcast Information

Supermicro will present a live audio webcast of our conference call to review its fourth quarter and full-year fiscal 2026 financial results on Tuesday, August 11, 2026, at 5:00 p.m. ET / 2:00 p.m. PT. The webcast will be available at https://ir.supermicro.com.

reddit.com
u/Busy-Delivery4250 — 30 days ago

SMCI customer CoreWeave publishes benchmark for Vera Rubin. Shows 10x more tokens per megawatt than Blackwell

SMCI customer CoreWeave publishes benchmark for Vera Rubin. Shows 10x more tokens per megawatt than Blackwell. Vera Rubin racks are estimated to cost 2-5x as much as Blackwell racks depending on version. Compute energy efficiency could become paramount where datacenter power consumption is coming under scrutiny.

If the customer has access to cheap energy, Blackwell could offer the best value. If the customer is constrained by space or high energy costs, Vera Rubin becomes compelling.

u/Busy-Delivery4250 — 30 days ago

SMCI expanded DLC-2 Moat with Fail-Safe Coolant

SMCI climbed to $48 after this Moat expansion was announced. I think it was part of the catalyst for the $39 Billion in new orders which was announced a week later.

Supermicro Debuts High-Impedance Coolant for Nvidia Vera Rubin NVL72 Racks at Computex

Jun 2, 2026·6:31 PM
Key points
  • Supermicro's SMC PG25-A coolant claims 1,000x higher electrical impedance than standard liquid-cooling fluids, reducing short-circuit risk from minor leaks [1]
  • The coolant is integrated into Supermicro's DLC-2 stack for Vera Rubin NVL72 racks, which unify 72 Rubin GPUs and 36 Vera CPUs per rack [2]
  • DCBBS blueprints scale from 5MW to 1GW, with deployments scheduled for H2 2026 aligned with Nvidia Vera Rubin general availability [3]
  • Each DLC-2 pod includes 5MW cooling towers, four 1.8MW CDUs, 576 direct-to-chip copper cold plates, and the new PG25-A coolant [3]
  • SMCI shares are up 75% over the past month, trading at $47.50; NVDA closed at $221.74, up 5% on the day [4]

Supermicro introduced its proprietary SMC PG25-A coolant at Computex 2026 in Taipei, claiming the fluid delivers up to 1,000 times higher electrical impedance than standard liquid-cooling mixtures used in direct-to-chip systems. CEO Charles Liang said the higher impedance means that "in case there are small leaks, when you have a high electrical impedance, the system will not shut down and will keep running" [1].

The coolant is a core component of Supermicro's DLC-2 direct liquid cooling stack, which the company is packaging into its Data Center Building Block Solutions (DCBBS) blueprints for Nvidia's Vera Rubin NVL72 platform. Each Vera Rubin NVL72 rack unifies 72 Rubin GPUs and 36 Vera CPUs with NVLink 6, delivering up to 3.6 exaflops of FP4 inference performance with 75 TB of fast memory [2][3].

https://mlq.ai/news/supermicro-debuts-high-impedance-coolant-for-nvidia-vera-rubin-nvl72-racks-at-computex/

Hypothesis:

  • Current and potential customers under NDA were evaluating the new Failsafe coolant around the time of the last Earnings call on May 5. CEO discusses two possible scenarios during call for either strong or parabolic growth.
  • On June 1 during CEO Keynote speech at Computex the new proprietary coolant is revealed and showcased in his speech.
  • Between May 5 and June 9, a catalyst emerged and SMCI announces $39 Billion in new orders from 20 customers and the parabolic growth path is set for FY2027.

Most people are talking about SMCI’s dilution and ignoring the innovation and growing intellectual property resulting from capital investment. I'm speculating the Failsafe coolant evaluation results motivated customers to lock in access to the SMCI innovation.

Datacenter developers are focused on Leak Anxiety.

PG25‑A and DLC-2, which are arguably the most important reliability innovations in high‑voltage AI datacenters this cycle.

PG25‑A is a proprietary Failsafe coolant, and DLC2 is the rack‑level cooling architecture built around it. Together they eliminate the catastrophic failure mode of 700–800VDC AI racks.

This is not a cosmetic upgrade.
This is a risk‑elimination technology.

Why PG25‑A matters

Traditional water‑glycol coolants (used by Dell, HPE, Lenovo, Inspur, Foxconn) are conductive.
If they leak inside a high‑voltage rack:

  • you can short the bus
  • destroy GPUs
  • blow power shelves
  • shut down the rack
  • create human safety hazards

PG25‑A is non‑conductive — with electrical impedance reportedly ~1000× higher than legacy PG25.

Leak → no short
Leak → no rack destruction
Leak → no GPU blowout
Leak → no human hazard

This is a fundamental reliability and market advantage.

Imagine being an executive that has to explain why he didn't select SMCI's Failsafe coolant when faced with multi-million dollar liabilities in repairs and downtime from recurring leaks over the multi-year life cycle of a Datacenter.

u/Busy-Delivery4250 — 1 month ago
▲ 47 r/SMCIDiscussion+1 crossposts

SMCI announces expansion to support US production, test and service to meet increased customer demand

Supermicro is expanding its footprint with a 4th Silicon Valley Campus to accommodate increased demand for its AI solutions, with approximately 4,000,000 total square feet of office, warehouse, and manufacturing space.

https://www.supermicro.com/en/about/us-manufacturing-expansion?utm_campaign=43213709-Campus%20Expansion&utm_content=382712752&utm_medium=social&utm_source=twitter&hss_channel=tw-374598930

u/Busy-Delivery4250 — 1 month ago

Bullish for SMCI: BlackRock CEO Larry Fink emphasizes the need for massive investment in data centers and compute capacity.

7/15

BlackRock CEO Larry Fink discusses his bullish outlook on the markets for the coming year, driven by technological revolutions and the role of US capital markets.

Key takeaways from the discussion:

  • The AI Infrastructure Boom: Fink emphasizes the need for massive investment in data centers and compute capacity. He notes that while hyperscalers are spending trillions on capex, the primary challenge is not demand, but rather the speed at which the US can build the necessary power grid infrastructure to support AI (1:45-2:30).
  • The Power Challenge: Fink warns that the US must become "power agnostic" and accelerate energy production—whether from hydrocarbons or renewables—to avoid supply shortages that could drive up electricity prices and hinder the AI revolution compared to competitors like China (4:30-5:30).

SMCI is likely receiving Blackrock investment dollars through Saudi PIF/DataVolt/Neom Oxagon partnership

Thanks to u/Littl3_Midnight

BlackRock’s Ranked List of AI's 30 Most Critical Companies

  1. Micron
  2. AMD
  3. TSM
  4. NVIDIA
  5. Marvell
  6. Broadcom
  7. CoreWeave
  8. Oracle
  9. Super Micro Computer
  10. Western Digital
  11. Seagate Technology
  12. IBM
  13. Microsoft
  14. Arista Networks
  15. Palantir
  16. Constellation Energy
  17. Snowflake
  18. Bloom Energy
  19. Astera Labs
  20. Accenture
  21. Credo Technology
  22. Entegris
  23. Onto Innovation
  24. Celestica
  25. Amkor Technology
  26. MongoDB
  27. Tempus AI
  28. Workday
  29. CoStar Group
  30. Rambus

Skeptics argue AI investment is overdone. Tempus AI being on the list is a reminder that SMCI AI infrastructure innovation also enables medical research into new diagnostics and therapeutics for cancer and chronic diseases which affect every family. Other companies on the list support the weather modeling tools that might help us understand the weather extremes that seem to be affecting our planet.

Pioneers in AI are in the investment and growth phase. Critics try to frame the investment as a waste of money and ignore the financial and societal benefit coming in the near future.

youtu.be
u/Busy-Delivery4250 — 1 month ago

A discussion between Dylan Patel, SemiAnalysis and Vik Malyala, SMCI about exciting developments in the product pipeline.

Bullish, entertaining and informative. Intriguing mention of working with many stealth startups, accelerators, asics, liquid cooling for storage systems, novel network topologies...

>A conversation with Dylan Patel, one of the most influential voices on AI infrastructure with Supermicro CBO (Chief Business Officer), Vik Malyala discussing what’s next for AI infrastructure, what it really takes to build for AI at scale. Looking ahead with AMD on Helios and NVIDIA on Vera Rubin and AI Factory, as well as Supermicro liquid cooling.

https://www.supermicro.com/en/featured/cbo-interview-dylan-patel?utm_campaign=25656070-Dylan%20Patel&utm_content=382475290&utm_medium=social&utm_source=twitter&hss_channel=tw-374598930#interview

Jul 15, 2026

BlackRock Chairman and CEO Larry Fink joins 'Squawk on the Street' to discuss the company's quarterly earnings results, latest market trends, impact of AI and technological advancements, benefits of long-term investing, and more.

https://youtu.be/f8FrvkJt4nk?si=bMuTBP2sn6e2-MvE

Starts off with a bullish segment on needing more AI datacenter compute at a faster build rate. He is confident in his investments in AI Datacenters. SMCI is likely receiving Blackrock investment dollars through Saudi PIF/Neom Oxagon.

u/Busy-Delivery4250 — 1 month ago

IBM cites weak quarter due to competition from companies like SMCI

IBM’s weak quarter is exactly what you’d expect if spend is pivoting into SMCI’s wheelhouse.

IBM’s CEO explicitly said the miss was due to customers reprioritizing capex toward AI hardware.

https://invezz.com/news/2026/07/14/ibm-shares-fall-23-ceo-says-q2-earnings-fell-short-as-customers-spent-more-on-ai/?utm_source=copilot.com

Meanwhile SMCI is growing in:

  • GPU‑dense, AI‑optimized x86 servers
  • High‑efficiency, liquid‑cooled platforms
  • Large AI infrastructure backlogs, where performance, TCO, and deployment speed drive buying decisions.

So when IBM says its infrastructure is struggling, the commonsense read‑through is that budget is rotating toward AI‑first hardware vendors like SMCI, not disappearing.

u/Busy-Delivery4250 — 1 month ago

SPEC CPU 2026 Benchmark Suites Released: See Supermicro's Strong Results

Read the blog for more information: https://hubs.la/Q04plW1d0

2:13 PM · Jul 13, 2026

SPEC CPU 2026 Benchmark Suites Released: See Supermicro's Strong Results

The Standard Performance Evaluation Corporation (SPEC) officially released the SPEC CPU 2026 benchmark suites, representing the largest update to industry-standard CPU testing in almost a decade. Stepping up from the previous CPU 2017 suite, the 2026 version expands the benchmark count from 43 to 52. It more than doubles the number of lines of code and heavily incorporates modern open-source workloads. Crucially, it broadens testing domains to cover AI orchestration, electronic design automation (EDA), complex databases, and deep graph analytics.

The SPEC benchmark suite for CPU results shows both the performance of the CPU for:

  • Integer Speed (INT Speed): Measures the time it takes for a system to execute a single, sequential task that relies heavily on integer math. It consists of 13 benchmark testing tasks, such as compilation, cryptography, and compression.
  • Integer Rate (INT Rate): Measures the total amount of integer workloads a system can process simultaneously. It contains 14 benchmarks designed to test multiprogramming capabilities and the performance of heavily parallelized, multithreaded integer operations.
  • FP Speed (Floating-Point Speed): Measures single-task performance for complex mathematical calculations, such as physics simulations and fluid dynamics. It features 13 benchmarks stressing computing throughput and DRAM/cache performance.
  • FP Rate (Floating-Point Throughput): Measures aggregate throughput for simultaneous, heavy mathematical calculations. It contains 12 benchmarks pushing multi-core and multi-threaded floating-point hardware.

Each of these benchmarks can be run with different numbers of CPUs, but here we will focus only on the 1-socket and 2-socket results.

Integer Speed:

  • 1-socket results – Supermicro holds the top two spots using the CloudDC Server with AMD EPYC™ 9755 (128 cores) and 9965 (192 cores) CPUs, respectively^(1).
  • 2-socket results – Supermicro holds the top spot and 4 of the top 6 positions. The highest-performing result is a Hyper system with AMD EPYC 9755 CPUs (256 cores)^(2).

Integer Rate:

  • 1-socket results – Supermicro holds the top 2 results using aSupermicro SuperBlade® using a single Intel® Xeon® 6990E+ (288 cores) CPU. The second-place score also uses the Intel Xeon 6990E+ processor in a Hyper server^(3).
  • 2-socket results – Supermicro holds the top spot using a Hyper server with the Intel Xeon 6990E+ (total of 576 cores) CPU. The Peak Result is 14+ % faster than the 2^(nd) place result^(4).

Floating Point Speed:

  • 1-socket results – Supermicro holds two of the top three positions using a CloudDC server with the AMD EPYC 9965 (192 cores) and 9755 (128 cores) CPUs, respectively^(5).
  • 2-socket results – A Supermicro Hyper server with the AMD EPYC 9755 CPU (total of 256 cores) was within 5% of the fastest system^(6).

Floating Point Rate:

  • 1-socket results - Supermicro owns the top three positions for this benchmark. The fastest system is a Hyper system using the Intel Xeon 6990E+ (288 cores) CPU, and the 2nd-place result is the same processor on the SuperBlade system. The 3^(rd) place result is also a SuperBlade system with the Intel Xeon 6980E+ (264 cores) CPU^(7).
  • 2-socket results – Supermicro has the highest performance among the top two server vendors, based on the Q4 CY25 IDC results*. Using a Hyper server with two Intel Xeon 6980P processors, totaling 576 cores, Supermicro attained the top position^(8).

Visit www.spec.org for more information.

reddit.com
u/Busy-Delivery4250 — 1 month ago

SMCI strong FY2026 just closed. BDO is hard at work on the annual 10-K, but what does the adverse opinion mean.

For a Fortune 100 company, BDO would normally rely on reports from ERP systems like SAP S/4HAN or Oracle Fusion to complete the 10-K. That option didn't exist at SMCI. The adverse opinion says SMCI's hypergrowth outgrew their existing Enterprise Resource Planning(ERP) systems. BDO had to go old school, "open the shoe box of receipts" and audit raw data to do the last 10-K. This is the type of work EY was unwilling or incapable of doing.

The resulting audit was accurate, but time consuming and expensive. SMCI and BDO have been working on improving and testing an updated ERP system, but SMCI's continued parabolic growth and TAM diversification likely invalidated the testing that has been done to date. Testing is a process that normally takes several quarters or even a complete Fiscal cycle. Consequently, my expectation is that the next 10-K will again contain an accurate audit, but I would not be surprised if the adverse opinion remained.

reddit.com
u/Busy-Delivery4250 — 1 month ago