“The average loan officer in the United States, 65% of the time that borrower, when they go do another loan, they’re going somewhere else,” he said. “And so I think originators need to embrace these products so they can retain their past clients.”
By being able to help these customers now with equity products, the broker now moves back to the front of the line for these past clients, Davis said.
“If I had a restaurant and 65% of my customers that came to my restaurant the second time didn’t come back to my store, they went to another restaurant down the street, the servicer who I sold the loan to,” he said. “The goal should be: how do I keep them coming back to my store and how do I have them become a customer for life.”
When a loan is sold, Davis said, the servicer immediately begins soliciting the borrower, while the broker who originated the loan is often completely absent from that conversation.
“When that loan gets sold, the servicer immediately starts to solicit them,” he said. “They have all the data, they have AI, and they are aggressively marketing to them. And those borrowers, if the loan officer doesn’t stay engaged, they’re going somewhere else.”
Sony Music Entertainment has filed a second copyright infringement lawsuit against Udio, asserting 30,117 sound recordings it says the AI music company copied without permission to train its generative AI models.
The complaint, obtained and first reported by MBW, was filed on Monday (July 20) in the US District Court for the Southern District of New York. You can read it in full here.
It follows a June 29 ruling in which the same court denied Sony‘s bid to add more than 30,000 of those recordings to its existing case against Udio.
The suit is brought by Sony Music Entertainment alongside nine affiliated labels, including Arista Records, LaFace, and others.
Sony and its subsidiaries first sued Udio in June 2024, in litigation coordinated by the RIAA on behalf of the major labels.
Discovery in that original case allowed Sony to inspect Udio’s training data and identify hundreds of thousands of its recordings using audio fingerprinting, according to the new complaint.
The 30,117 works asserted in the new suit are a subset of those matches, which the labels describe as “only a small portion” of the recordings Udio infringed.
In its June 29 ruling, the court denied Sony leave to add the recordings to the original case but recognized that “Plaintiffs have the right to seek to stop infringement of, and recover damages for, all copyrighted works.”
The court held only that “there is no requirement that it be done in [that] lawsuit,” language Sony cites as the basis for filing the new action.
“Udio’s belated embrace of licensing only underscores the unlawfulness of its decision to copy Plaintiffs’ copyrighted sound recordings, without a license, in the first place.”
Sony Music complaint against Udio
In answering the original complaint, Udio admitted that its models were “constructed by showing the program a vast amount of different kinds of sound recordings,” and that those recordings “presumably included recordings whose rights are owned by the Plaintiffs in this case.”
The new complaint also carries claims that Udio obtained many of the recordings by “stream ripping” them from YouTube using the tool YT-DLP, circumventing the platform’s technological protections.
Udio has acknowledged obtaining audio data from YouTube for use as training data, while arguing that its use of copyrighted music amounts to fair use.
Since launching, Udio has struck licensing deals with rightsholders including Universal Music Group, Warner Music Group, Merlin, Kobalt, Believe and the National Music Publishers’ Association, according to the complaint.
Sony is the only major music company yet to reach a licensing agreement with Udio, having declined to settle where Universal and Warner did.
The complaint argues that Udio’s “belated embrace of licensing” underscores what the labels call the unlawfulness of copying their recordings without a license “in the first place.”
The suit brings three claims: infringement of post-1972 recordings, infringement of pre-1972 recordings protected under the Music Modernization Act, and circumvention of technological measures under the Digital Millennium Copyright Act.
Sony is seeking statutory damages of up to $150,000 per work infringed, plus up to $2,500 for each act of circumvention, along with an injunction.
Udio, developed by Uncharted Labs, was founded by former Google DeepMind researchers and launched its service in April 2024, and is led by co-founder and CEO Andrew Sanchez.
The complaint frames Udio’s conduct as “a mad dash to become the dominant AI music generation service,” stating the company has “flouted the rights of copyright owners in the music industry” since the day it launched.
Udio’s rival Suno continues to face parallel copyright infringement claims from Universal Music Group and Sony Music in the US District Court for the District of Massachusetts.
Warner Music Group, a former co-plaintiff, exited that case after settling with Suno in November 2025, leaving Universal and Sony as the remaining major-label plaintiffs.
In the Suno case, Universal and Sony are seeking to add 61,026 recordings, more than double the 30,117 at issue in the Udio complaint.Music Business Worldwide
Editor’s Note: Thanks for reading! As a special offer for our readers, save $100 on your ticket to BPCON2026—BiggerPockets’ annual real estate investing conference—using code MYRE100 at checkout.
Plot twist: Remember when everyone not so long ago declared that short-term rental investing was over because the market was saturated? Well, that appears to have changed, according to new data. High interest rates have been good for one thing as far as existing STR owners are concerned: eliminating the competition.
According to the new midyear outlook from short-term rental analytics site AirDNA, high interest rates have kept potential investors from buying properties, boosting profits for owners who got in before the post-COVID-19 pandemic rate hike, as nightly rates continue to edge up.
From Saturated to Emancipated
The narrative in recent years was that short-term rentals were a bad investment, in part because the market was saturated. Owners who stuck it out must be feeling emancipated as profits rise.
Jamie Lane, AirDNA’s chief economist, said in a press release:
“Investors want clarity on whether STRs remain a strong opportunity. The data points to a clear yes. The STR Premium (how STR earnings stack against investment costs) has climbed to its highest level since 2022, and revenue indicators return to more stable growth. Coastal, mountain/lake destinations, and suburban areas of major U.S. cities show some of the most favorable conditions for investors heading into 2026.”
According to AirDNA’s 2026 Midyear Outlook, the math has definitely shifted, as mortgage rates above 6% have slowed new investment, with expected occupancy expected to rise to a pre-COVID average of 57%.
Bram Gallagher, director of economics and forecasting at AirDNA, said in a press release:
“At the beginning of the year, we expected lower borrowing costs to bring more new supply to market. Instead, renewed inflation driven by the war in Iran and the resulting energy shock pushed mortgage rates back above 6%, delaying investment. That slower supply growth, combined with healthy travel demand, has supported occupancy while creating stronger pricing conditions for established operators. As inflation eases, we expect demand and investment activity to strengthen further in 2027.”
Things Small Investors Need to Consider
For small landlords who can avoid taking out a loan to buy a rental property, it’s a good time to consider a short-term rental.
“First-time booker growth also accelerated to 10%—the highest growth since early 2022,” Airbnb’s leadership told investors in its Q1 call, underscoring that guest demand has remained robust even as the broader housing market cooled.
Can an STR Outperform a 12-Month Lease?
The answer appears to be “yes”—with some caveats.
A recent analysis of 15 U.S. markets by STR analytics firm AirROI found the following:
“Airbnb is profitable in 10 of 15 U.S. markets we analyzed when you account for all costs, including mortgage on a median-priced home. Without a mortgage, every U.S. market produces positive net operating income. The gap between the best and worst markets approaches $50,000 per year—Broken Bow, OK, generates $29,446 in annual net profit, while Denver, CO, loses $19,939. The question is not whether Airbnb is profitable. The question is where.”
The article goes on to state that “the mortgage is the profitability killer in expensive markets” and that “home prices below $500,000, strong leisure demand driven by outdoor recreation, and limited hotel inventory that forces visitors toward vacation rentals” enjoy strong positive cash flow.
Regarding the 12-month lease comparison, the rental price for each side-by-side market would need to be taken into account, with high-performing vacation markets clearing high profit margins in certain cities.
How to Get Into Short-Term Rentals Without Taking on New Loans
Small investors considering switching from long- to short-term leases or purchasing new properties with the express intention of running a vacation rental business should consider these strategies to do it without crippling cash flow by incurring high-interest debt.
Liquidate assets:Although this could also be utilized to buy a 12-month rental, if the STR profits are much higher (because of the location or lack of competition), selling stocks or underperforming rentals might make sense to fund an STR operation.
Convert part of a personal residence into an STR: Options include a garage or basement.
Use a second/vacation home as an STR: This is perhaps one of the easiest methods to take advantage of the lack of competition in the STR space. If you already have a second home for family getaways, using it as an STR will still let you enjoy it with your family while generating income.
Utilize rooms in your personal residence: If you have extra bedrooms, this is another no-brainer if you don’t mind sharing the hallway/living room and possibly a bathroom with your guests.
Convert existing 12-month rentals into STRs: This is not as simple as changing the lease terms. Owning an STR means a considerable investment in furnishings, kitchen/cookware, bedding/linens, security cameras, lighting, entry keypads, and a reliable cleaning crew. You’ll also need a dedicated management company familiar with the labor-intensive nature of STRs, or, if you plan to self-manage, you will need to bring yourself up to speed on what’s expected.
Rental Arbitrage
If the labor intensity of running your own STR rental business doesn’t appeal to you, you might want to consider handing over the reins to a company specialized in rental arbitrage. This is often a controversial undertaking because, despite the social media hype, there are many risks involved for both you as the owner and the renter.
First, under conventional RA procedures, the tenant (rental arbitrage tenant/sublessor) has to invest quite a bit of their own money in furnishing and equipping the property into an STR while paying rent to you, the landlord, so they must have deep pockets and a track record of success.
If they don’t get bookings, they still have to pay the rent. They have to feel confident that the location warrants taking on this risk, with the profit returned in excess of these expenses.
An alternative proposal many RA companies use is a profit-sharing split with the owner. They manage and lease your building to STR guests for a share of the profits. However, many landlords figure they might as well go the regular route with year-round tenants and a management company.
Profit sharing only makes sense in an extremely high-demand neighborhood—such as a World Cup venue—where, even with a split, the property owner would make far more than with a year-round lease.
Final Thoughts
Short-term rentals can be extremely advantageous in some markets where 12-month leases are heavily skewed in the tenant’s favor due to landlord-tenant laws that make evictions difficult. For example, although New York City laws have largely outlawed short-term rentals, they are allowed under certain circumstances.
Because STR tenants pay upfront and are only there for a fixed amount of time, STRs make great sense for landlords in NYC or certain vacation/high-traffic areas. If the competition is stymied by high interest rates, going the extra mile to make your STR work is well worth it.
Tianyu Hou, CFO, sold 15,000 Class A ordinary shares of Sea Limited(SE +1.58%) on July 17, 2026, according to a recent SEC Form 4 filing.
Transaction summary
Metric
Value
Transaction value
$1.5 million
Shares sold
15,000
Post-transaction shares (directly held)
2,428,015
Post-transaction value
$252.63 million
Transaction value based on SEC Form 4 weighted average sale price ($103.26); post-transaction value based on July 17, 2026 market close ($104.05).
Key questions
What was the mechanism for this transaction? The sale was conducted through a Rule 10b5-1 trading plan adopted on March 19, 2026, which allows corporate insiders to sell a predetermined number of shares at set times to manage personal portfolios.
What is the scale of the insider’s remaining equity? Following the sale, Tianyu Hou continues to hold 2,428,015 shares directly, representing a total equity position valued at $252.63 million based on the July 17, 2026 market close.
How does the transaction price compare to recent performance? The shares were sold at $103.26 per share, occurring as the stock’s one-year return reached -38% as of the July 17, 2026 transaction date.
Which entities were involved in the ownership change? The 15,000 shares sold were held through a BVI entity controlled by Tianyu Hou, while all remaining reported shares are held in the insider’s direct name.
Company Overview
Metric
Value
Share Price (as of market close 2026-07-17)
$104.05
Market Capitalization
$62.5 billion
Revenue (TTM)
$25.2 billion
Net Income (TTM)
$1.6 billion
Company Snapshot
Sea Limited operates a diversified digital platform ecosystem spanning digital entertainment through its Garena brand, e-commerce operations, and digital financial services across Southeast Asia, Latin America, and other international markets.
The company generates revenue through multiple channels including in-game monetization and eSports events within its digital entertainment segment, transaction fees and marketplace commissions from e-commerce operations, and financial services offerings including digital payments and lending solutions.
Sea Limited serves a broad consumer base across emerging markets in Southeast Asia and Latin America, targeting mobile and PC gamers, online shoppers, and consumers seeking digital financial services in regions with high growth potential and expanding digital adoption.
Sea Limited is a leading digital platform operator with significant scale, commanding a $62.5 billion market capitalization and generating $25.2 billion in TTM revenue across its integrated ecosystem. The company’s competitive advantage derives from its diversified business model that leverages network effects across gaming, commerce, and fintech segments, combined with deep market penetration in high-growth emerging markets where digital adoption continues to accelerate. Sea Limited has established itself as a critical infrastructure provider in digital commerce and entertainment across Southeast Asia and Latin America.
What this transaction means for investors
Amid a slew of trading plan-driven Sea Limited stock sales this past week, it’s important to note here that Hou is the finance chief, the executive with the clearest view of the books, which makes what he kept more telling than what he sold. His direct position of over 2.4 million shares, worth roughly $253 million, is virtually untouched: He sold just six-tenths of a percent of it.
Meanwhile, the numbers he oversees have been strong, even if the stock has been intensely volatile amid broader uncertainty around e-commerce competition, with first-quarter revenue climbing 47% to $7.1 billion and adjusted EBITDA passing $1 billion. In the firm’s earnings report, CEO Forrest Li noted that the firm is starting to see improved unit economics thanks to strategic investments that have also boosted topline growth. Whether these metrics meaningfully improve and continue will likely determine how Sea’s stock moves forward in the coming quarters.
Southwest Award Sale: Flights from 7,000 Points, Hawaii & International from 10,000
Southwest Airlines has launched a new Rapid Rewards award sale featuring one-way domestic nonstop flights starting at just 7,000 points. The sale also includes Hawaii and international flights starting at 10,000 Rapid Rewards points on select routes.
The promotion is valid on eligible award bookings made by July 20, 2026, at 11:59 PM PT. Most travel within the continental U.S. is valid from August 18 through November 18, 2026, while travel to Hawaii, Puerto Rico, the U.S. Virgin Islands, and international destinations has separate eligible travel periods and blackout dates.
Keep in mind that Southwest award pricing is dynamic and tied to the cash fare, so prices can fluctuate based on demand. Award bookings also require payment of applicable government taxes and fees, which start at $5.60 one-way.
You can see the promotion page here.
Important Terms
Book by July 20, 2026, at 11:59 PM PT.
Domestic nonstop award flights start at 7,000 Rapid Rewards points.
Hawaii and international award flights start at 10,000 Rapid Rewards points.
Most continental U.S. travel is valid August 18 – November 18, 2026.
Separate travel windows and blackout dates apply to Hawaii, Puerto Rico, the U.S. Virgin Islands, and international destinations.
Taxes and government fees start at $5.60 one-way.
Valid on select nonstop flights and subject to availability.
Guru’s Wrap-up
This is a solid opportunity to get more value for your Rapid Rewards points, particularly if you’re planning fall travel. Starting at 7,000 points for domestic flights and 10,000 points for Hawaii and international destinations, there are plenty of deals to be found if your travel dates are flexible.
This is also a good time to check any award flights that you have already booked to see whether the price has dropped.
A duplex. A fourplex. Maybe a single-family rental in a good school district. It feels manageable, the numbers make sense, and honestly it’s kind of exciting to finally put some of that W2 income to work.
And for a while, it works really well.
Then at some point, something shifts. Capital gets tied up. Finding the next deal takes longer. Management starts taking more time than you expected. And the math, the whole reason you got into this, stops moving the needle fast enough to feel worth it.
This is the ceiling almost every physician investor hits at some point. And I want to be clear about something: hitting it isn’t a sign that you did anything wrong. It’s actually a sign that you’ve learned enough to do something bigger.
Disclaimer: This article is for informational and educational purposes only and does not constitute financial, legal, or investment advice. Any investment involves risk, and you should consult your financial advisor, attorney, or CPA before making any investment decisions. Past performance is not indicative of future results. The author and associated entities disclaim any liability for loss incurred as a result of the use of this material or its content.
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Why Small Multifamily Has a Natural Ceiling
There’s nothing wrong with duplexes and fourplexes. They’re genuinely a great starting point. But they have structural limits that become obvious once you’ve been at it for a few years.
The first is a capital problem. Every property ties up a down payment. Once you’ve bought 10 or 12 units across several small properties, you often find yourself out of liquid capital with no clear path to the next deal. You’re not doing anything wrong. You’ve just hit the math ceiling of the strategy.
The second is a management problem. Small multifamily scales linearly. Each new property adds complexity: a new lease, new maintenance issues, new tenant relationships. You add rooftops, but you don’t really add systems. At a certain point you’re just adding to your own workload.
The third is a valuation problem. Small multifamily is priced like residential real estate. The value of what you own is driven by comparable sales in the neighborhood, not by how much income your property generates. That distinction matters a lot when you’re trying to actually build equity over time.
The physicians who break through this ceiling don’t do it by buying more duplexes. They change strategies entirely.
What Changes When You Go Commercial
Moving from 1 to 4 units into 5 units and above puts you in commercial real estate. The rules are different here, and some of those differences genuinely favor physicians.
The biggest shift is in how properties are valued and financed.
In commercial real estate, value is driven by income. Specifically by Net Operating Income, or NOI, which is just the property’s revenue minus its operating expenses. What this means practically is that you have real control over what your asset is worth. Improve the property, raise rents to market rate, reduce vacancy, and you’ve created equity. You’re not just waiting for the neighborhood to appreciate.
Financing works differently too. Commercial loans are underwritten primarily on the property’s income, not on your personal W2. For physicians with complex income situations, practice ownership, 1099 income, multiple income streams, this can actually work in your favor. The property carries more of the argument.
The honest trade-off is that commercial lending is relationship-based. There’s no standard product you fill out online. Lenders want to understand your track record, your plan, and how well you know your market. Building those relationships before you need them is one of the most valuable things you can do as an investor.
Three Ways Physicians Actually Make the Jump
The good news is that the transition doesn’t require starting over. There are three bridge strategies worth understanding.
1031 Exchanges
A 1031 exchange lets you sell a property and defer capital gains taxes by rolling the proceeds into a like-kind investment. For physicians who’ve held small multifamily for a few years and built up some equity, this is often the cleanest path to trading up. You keep your capital working instead of handing a chunk of it to the IRS.
The timing requirements are real: 45 days to identify a replacement property and 180 days to close. You need a qualified intermediary in place before you sell. But if you know your next market, this is one of the most tax-efficient tools available.
TIC Partnerships (Tenants in Common)
A TIC structure lets two or more investors co-own a property with clearly defined ownership percentages. It’s flexible, and it solves a problem a lot of physician investors face: you’ve found a good deal but don’t have enough liquid capital for the full down payment.
With the right partner, you can access deals that neither of you could reach alone. One partner brings capital. The other brings deal flow, market expertise, or operational capacity. The important thing is getting the partnership agreement right before closing. Expectations that aren’t written down tend to become problems later.
Physician-Specific Lending Products
Some banks and credit unions that specialize in physician lending offer business loan products that can be used for bridge capital or down payments on commercial deals. These are unsecured or practice-based loans that treat physician income differently than conventional lenders do.
The rates are typically higher than conventional financing, so this isn’t the right tool for every situation. But for physicians who’ve found a strong deal and need a capital bridge to get to the closing table, knowing these products exist is genuinely useful.
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What Actually Gets You There
Here’s something I think gets missed in a lot of conversations about scaling. Most people assume the jump to commercial is primarily a capital problem. Get enough money together and the deals follow.
In practice, two things matter more than the capital itself.
The first is knowing your market. Not generally knowing it. Knowing it well enough that your underwriting isn’t really a guess. What do rents actually support in this submarket right now? What are vacancy trends doing? What are buyers paying per door? Investors who scale consistently tend to have put in the repetitions on a specific market until the numbers feel second nature.
Conservative underwriting is where that knowledge gets applied. The investors who build durable portfolios almost always stress-test their assumptions: higher vacancy than the seller projects, lower rent growth, higher expense ratios. The goal is to structure a deal so that even in a difficult scenario, you’re still okay. A lot of your protection comes from how you buy, not from what happens after.
The second is lender relationships. This one surprises people. The terms available to a borrower with a real track record and an established relationship are genuinely different from what’s available to someone calling a lender for the first time. Showing up before you have a specific deal in hand, introducing yourself, understanding what a lender looks for, that’s not just networking. It’s infrastructure.
Knowing When You’re Ready
There’s no perfect moment to make this move. But there are some concrete signals worth paying attention to.
You’ve operated a few small multifamily properties long enough to know what the day-to-day actually looks like, not in theory but in practice.
You know a specific market well enough to underwrite a deal without leaning on the seller’s numbers.
You have at least one relationship with a commercial lender or broker who knows you’re a serious investor.
You have a clear picture of what you can fund on your own versus what a partnership or exchange could unlock.
If those things are in place, the move to commercial real estate is closer than it probably feels. The ceiling most investors hit in small multifamily is real, but it’s not the end of the road. For a lot of physicians, it’s just where the next chapter starts.
If you want to hear what this path looks like in practice, I recently sat down with Dr. Larry Daugherty, a radiation oncologist who scaled from his first fourplex to over 200 doors in Alaska. You can listen to that conversation here.
Were these helpful in any way? Make sure to sign up for the newsletter and join the Passive Income Docs Facebook Group for more physician-tailored content.
Peter Kim, MD is the founder of Passive Income MD, the creator of Passive Real Estate Academy, and offers weekly education through his Monday podcast, the Passive Income MD Podcast. Join our community at the Passive Income Doc Facebook Group.
Disclaimer: I am not a CPA, attorney, or financial advisor. The information in this post is for educational purposes only and should not be construed as tax, legal, or financial advice. Please consult a qualified professional about your specific situation before making any decisions.
Every time you enter a short prompt into your enterprise AI tool, behind that pulsing indicator you see on the screen, a flurry of invisible mechanisms and processes goes to work in the infrastructure. As the tool attaches the enterprise policies, session history, retrieved documents, and all the other contextual data it needs to generate a useful and reliable output, the dozen words you’ve typed systematically become a 40,000-token workload.
Now consider that thousands of users and agents may be hitting the system at once, each prompt reaching into a corporate knowledge base that, at the world’s largest companies, can run to 100 petabytes (PB). Serving from that archive generates a second active store, the key-value (KV) cache, that scales not with how much data you have but with how many users are querying it at the same time.
The expensive computation over those tokens becomes a cache worth saving and reusing to prevent redundancies and inefficiencies that bottleneck output. But the tool can only do that if the technical infrastructure has somewhere to keep that cache. And many enterprises don’t consider the need for this storage when they’re building AI infrastructure—until they run out of room.
To ensure enterprise AI tools can scale, the foundations designed to generate AI outputs must have the capability and the capacity to store the calculations of the complex operations that go into creating them.
And traditional options fall short at this scale: Fast but capacity-limited dynamic random access memory (DRAM) is too expensive to hold this data, and hard disk drives (HDDs) are too slow to serve it. Processing enterprise AI at the fleet level depends on high-capacity solid state drives (SSDs), which deliver the capacity to hold it and the speed to serve it—with the energy efficiency and footprint that make returns on AI investment achievable.
The Impact of AI Inference
As enterprises increasingly apply AI to their growth strategy, much of their focus remains on training larger and more capable models and investing in powerful graphics processing units (GPUs). But the bigger challenge now is inference: the process of serving AI responses accurately, reliably, and quickly at scale.
In modern AI systems, every prompt creates a bundle consisting of policy instructions, session history, retrieved documents, tool outputs, and other contextual components. This whole bundle is fed into an AI system where the expensive GPUs make computations. These computations—the KV cache—become reusable assets so the system doesn’t have to recalculate them over and over again. The KV cache represents a “state” within the AI system, and as AI deployments mature, managing that state becomes critical to performance.
The storage challenge only compounds as enterprises lean on retrieval-augmented generation (RAG), agentic workflows, and long-context reasoning over internal knowledge bases. Each of these increases the volume of information the system must store and access at once. And because much of that information has to be retrieved before the AI can respond, storage speed, not just capacity, shapes how fast the system feels to the people using it: the lag before a user sees a first response, known as time to first token (TTFT).
Although organization leaders often assume more GPU capacity powers faster AI, in reality, GPUs and other accelerators frequently sit idly while AI systems retrieve documents, load context, restore cached computations, or wait on data movement and storage bottlenecks.
The math scales quickly. A single long-context request can require 312 gigabytes of KV cache. Multiply that across eight concurrent users and the requirement jumps to 2.5 terabytes (TB). Add agentic workflows and the figure balloons to 10 TB—all of it needing to be stored, accessed, and managed with low latency.
A workload that may have initially appeared to be a manageable per-session memory requirement becomes a massive challenge when multiple users interact with AI simultaneously. Those saved calculations become one of the largest consumers of infrastructure resources.
That’s the “hidden storage tax”: issues that only become obvious when AI systems are put into production at scale. Even a task that appeared workable in pilots becomes unsustainable in practice as the number of users or AI sessions running simultaneously increases exponentially, known as concurrency. The result: slower responses, unforeseen bottlenecks, underused infrastructure, and higher operating costs.
Why Storage Is Critical
Historically, organizations have treated storage as a passive repository for their data—a holding place for data at rest. That approach worked when they were using storage primarily for backup systems, archives, and databases. But in AI environments, SSD storage is an active part of applications, critical to responsiveness, scalability, user experience, and cost efficiency. Enterprises that continue to use traditional benchmark metrics despite this shift are risking AI investments that can’t scale and failure of AI pilots.
These shifts are still emerging in inference, but the underlying principle is already visible wherever AI runs at scale: Storage architecture, not just compute, decides whether the system delivers.
PEAK:AIO, a software-defined storage provider, works with medical institutions using AI to analyze magnetic resonance imaging (MRI) scans to identify signs of cancer. These institutions generate enormous volumes of imaging data, but many lack the infrastructure they need to store, access, and analyze this data efficiently. PEAK:AIO offers its customers high-capacity SSDs so they can store and process large data sets within their own systems and networks.
For its containerized modular data centers, DUG Technology, a provider of high-performance computing and AI infrastructure solutions, uses SSDs to allow its customers to run AI systems in locations where the ability to deploy storage infrastructure is limited, such as industrial sites, energy facilities, and other remote areas.
A Day-Zero AI Decision
The right storage architecture can improve responsiveness, infrastructure efficiency, and scalability for long-context inference, RAG, and agentic AI workflows.
As enterprises expand AI initiatives, it’s becoming increasingly critical for AI architects—as well as leaders in procurement and finance, platform engineers, and other decision makers—to build technical foundations with sufficient high-capacity SSD storage to handle their operations and prevent bottlenecks today and in the years ahead.
And that means storage needs to be a part of the design conversation from the start—so their enterprises can avoid needing to invest in retrofitting their infrastructure later.
Read Solidigm’s “Anatomy of a Prompt” article and technical paper to learn why long-context AI, RAG, and agentic workflows are turning prompt design into an infrastructure decision—and how enterprises can qualify storage before latency, cost, and utilization problems show up in production.
✅ LinkedIn (Parth Sir):
✅ LinkedIn (The Valuation School page):
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00:04 Understanding Excel settings and functions for Financial Modeling
02:17 Learn how to optimize Excel for financial modeling
07:07 Learn about financial modeling in Excel and how to optimize your calculations and save time
09:33 Automate data table updates and use automatic calculation for efficient financial modeling.
14:44 Learn how to use the analysis tool pack in Excel for regression analysis.
18:03 Learn how to set up the analysis tool pack in Excel.
22:30 Learn how to format cells and columns in Excel
25:32 Learn Financial Modelling step-by-step
30:23 Formatting numbers in Financial Modelling
32:25 Understanding the conventions of color coding in financial modeling.
37:56 Learn how to audit and format cells in a financial model
39:55 Learn to avoid hardcoding numbers in financial modelling
45:51 Learn to group and organize data in financial modelling
48:44 Highlight the gross profit and add a border
52:33 Understanding the process of changing and checking formulas in financial modelling.
54:58 Understanding and implementing partial anchoring in revenue calculation.
1:01:29 Understanding and implementing financial modelling techniques
1:04:03 Immediate results from 5% with 100% impact.
1:09:48 Learn about custom formatting and applying it to numbers.
1:12:55 Hard coding and absolute anchoring are important in financial modelling.
1:17:40 The start date for this year is 15th August.
1:20:25 Learn about casting analysis and how to link cells in financial modelling
1:25:57 Min function is used to find the smallest number in a sequence
1:28:48 Learn how to express the condition ‘if less than’ in financial modeling
1:35:36 Learn Financial Modelling – Step by Step – Session 2
It’s a very light week of data with only weekly initial jobless claims on Thursday and flash U.S. services PMI on Friday.
The dearth of reporting means the focus will be on the ongoing conflict in the Middle East, which has ratcheted up lately.
The U.S. just completed a ninth consecutive night of strikes against Iran in a bid to weaken their attack capabilities on ships navigating the Strait of Hormuz.
Despite that, oil prices have eased from their highs, though they have ticked up again recently.
As such, any mortgage rate movement this week will likely be tied to geopolitics.
Limited Economic Data Means the War Will Drive Mortgage Rates This Week
As noted, there’s not much on the economic calendar this week. We get jobless claims every week so that’s a given.
And there’s virtually nothing else until Friday, when we get the flash U.S. services PMI, which provides a snapshot of the economy and whether it’s expanding or contracting.
It’s known as an important report, but pales in comparison to things like CPI, PCE (the Fed’s preferred inflation gauge), and the monthly jobs report.
So that means we’ll be looking at geopolitical developments to determine the direction of mortgage rates this week.
They had a bit of a wild ride last week, with the 30-year fixed climbing to its 2026-high of 6.75% on Monday, before easing thanks to a series of cool inflation reports.
Mortgage rates ran the risk of hitting new-52 week highs, but fortunately both CPI and PPI came in below consensus.
That “saved” mortgage rates, though it only allowed them to ease back down to around 6.625% instead of perhaps climbing to 6.875% and beyond.
Can We Continue to Avoid 7% Mortgage Rates?
One thing I’ve been keeping a close eye on is a return to 7% mortgage rates.
Thus far, despite the surge in oil prices and the threat of even more escalations in the Middle East, mortgage rates have stayed below 7%.
The 30-year fixed has gotten close, but it seems to have a lid that has kept it from reaching those psychologically-challenging heights.
But there are reports that Houthi militants in Yemen have “declared a maritime embargo” against Saudi Arabia, which is apparently effective immediately.
The Saudis have been moving their oil to an export terminal on the Red Sea to bypass the Strait of Hormuz.
Assuming this makes a real impact, it could choke off more oil supplies and lead to another increase in prices, putting more pressure on inflation again.
Bonds (and mortgage rates) suffer when inflation rises, so this will be the key story to watch this week and beyond.
As I said, mortgage rates have done a good job avoiding bigger losses in spite of what’s going on there.
Though on the other side of the coin, they are still up sizably since the Iranian conflict got underway around the end of February.
The 30-year fixed was priced just below 6% at that time, and today is closer to 6.625% to 6.75%.
That’s roughly 75 basis points higher, meaning you could argue a lot of it is baked in already, which is helping us steer clear of 7%.
However, if this conflict continues and/or worsens, it’s possible we go higher. And we aren’t too far from 7% in the grand scheme.
What’s keeping us from that seems to be a belief that negotiations could still be reached to end the conflict.
At which point we ideally get back on track to pre-war levels when rates were closer to 6% and below.
Read on: Try out my mortgage rate calculator that compares rates/payments by eighths of a percent.
Before creating this site, I worked as an account executive for a wholesale mortgage lender in Los Angeles. My hands-on experience in the early 2000s inspired me to begin writing about mortgages 20 years ago to help prospective (and existing) home buyers better navigate the home loan process. Follow me on X for hot takes.
