Demystifying New Intel CPUs: What IT Teams Need to Know
Intel’s new CPU names can look intimidating. This guide breaks down the processor naming system without the jargon.
Introduction: Why do Intel CPU names look like a password?
If you’ve looked at a laptop or spec sheet recently and thought:
“What on earth does Intel® Core™ Ultra 7 155H or Intel® Core™ 5 150U even mean?”
You’re not alone.
Intel has changed its processor naming system, retired the familiar i5 / i7 format, and introduced Core, Core Ultra, and new generation indicators — all at once.
This means faster chips, better battery life, built‑in AI… and a lot of confused buyers.
The good news is that once you understand the pattern, these Intel CPU names actually tell you a lot.
Let’s decode them step by step.
Intel® Core™ Ultra Processors
Think of these as Intel’s “new‑era” CPUs.
Intel Core Ultra processors are the most modern and premium processors in Intel’s lineup. They’re built for how people actually work today — multitasking, video calls, creative apps, and increasingly, AI‑powered tools.
Example: Intel® Core™ Ultra 7 155H
Intel® – Corporate brand – This simply tells you who makes the processor.
Core™ Ultra – Product brand – This is the processor family.
7 – Performance tier.
This replaces the old i5 / i7 / i9 naming system.
Intel Core Ultra processors come in these performance tiers:
Ultra 5
Ultra 7
Ultra 9
Higher‑end variants like Core Ultra X7 and X9 – higher numbers indicate higher overall performance within the Core Ultra range.
155 – SKU and generation indicator – This is where Intel now hides what used to be the “generation” label.
The first digit (1) indicates the Core Ultra generation.
1 = first generation of Core Ultra processors.
The remaining digits (55) are the SKU, which position the processor within the Ultra 7 tier.
These numbers only make sense within the same processor family and tier. Bigger numbers don’t automatically mean better if you’re comparing across ranges.
H – Suffix – The final letter tells you how the processor is designed to behave.
H = a high‑performance laptop processor.
Best for: Power users, developers, engineers, creatives, leadership laptops.
V‑Suffix Core™ Processors (Copilot+ PCs)
You may also see some Intel Core Ultra processors ending in a V.
The V suffix is important because it identifies Intel’s most AI‑focused mobile processors — and these are the chips powering Copilot+ PCs today.
Example: Intel® Core™ Ultra 7 268V
In plain English, this is:
A high‑end, power‑efficient mobile processor
Designed for thin‑and‑light laptops and tablets
Part of Intel’s Lunar Lake platform
Built specifically to handle AI workloads on‑device
Equipped with a 48‑TOPS NPU and built‑in memory for efficiency
Intel® Core™ Processors
The sensible, reliable middle ground.
Intel Core processors are the mainstream option. They use the same logic as Core Ultra, just with a shorter, simpler name.
120 – Processor number – Intel Core processors use a three‑digit processor number.
The first digit (1) indicates the processor series. The remaining digits position it within the Core 5 range.
You don’t need to overthink this — higher numbers generally sit higher within the same tier, but comparisons should stay within the Core family.
U – Suffix (what it’s built for) U = power‑efficient laptop processor.
Best for: The majority of office users — finance, HR, sales, operations, admin.
Intel® Core™ Processors N‑Series
Designed to sip power, not sprint.
The N‑Series is Intel’s efficiency‑first Core range, aimed at simple, well‑defined workloads.
These processors prioritise:
Low power usage
Quiet operation
Affordable devices
Example: Intel® Core™ 3 Processor N355
3 – Entry‑level performance tier within the Core family.
N – Identifies the processor as part of the N‑Series (efficiency‑focused, entry‑level Core).
355 – SKU that positions the processor within the N‑Series
Higher numbers generally sit higher within the N‑Series only.
Best for: Kiosk machines, education, front‑of‑house systems, shared or task‑specific devices.
Suffixes for Intel Core Ultra and Intel Core Processors
If there’s one thing to pay attention to in an Intel CPU name, it’s the letter at the end.
That suffix tells you how the processor is tuned and it can make a bigger difference than the tier number.
Common suffixes explained
Suffix
What it really means
Typical use
U
Power‑efficient
Everyday business laptops
P
Balanced
Thin & light professional devices
H
High performance
Power users
HX
Maximum performance
Mobile workstations
V
AI‑optimised, ultra‑efficient (Copilot+ ready)
Thin‑and‑light AI laptops / Copilot+ PCs
K
Unlocked (desktop)
High‑end desktops
T
Power‑optimised (desktop)
Small form factor PCs
A Core Ultra 7 U‑series chip will feel very different to a Core Ultra 7 H‑series chip, even though the name looks similar.
A good example of an H-suffix workhorse is the HP ZBook X mobile workstation, which pairs Core Ultra 9 H-series performance with pro-grade graphics for sustained creative and engineering workloads — exactly where the H suffix earns its keep.
The Intel Processor family sits below Core. These processors are all about keeping costs down while still delivering reliable performance for everyday, lightweight tasks.
Example: Intel® Processor N200
N – Identifies the processor type.
Intel Processor prefixes typically start with N (or U in some variants).
200 – SKU that positions the processor within the Intel Processor range.
There’s no generation indicator, no performance tiers, and no suffix letters to decode.
Best for: Basic admin tasks, shared devices, very light workloads.
Pentium® Silver and Pentium® Gold Processors
Budget‑friendly, with a bit more headroom.
Pentium processors sit above Intel Processor and below Core. They’re often used where cost control is important, but you still want a bit of responsiveness.
What’s the difference?
Pentium Silver – More efficiency‑focused
Pentium Gold – Slightly higher performance
Example: Intel® Pentium® Gold G7400 Processor
Gold – Higher‑end Pentium
G – Integrated graphics tier
Best for: Education, light business tasks, budget‑conscious deployments.
Intel® Celeron® Processors
The entry‑level of entry‑level.
Celeron processors are Intel’s most basic CPUs. They’re built for very simple computing and nothing more.
Celeron processors use a few different naming formats, depending on the model:
Some include a four‑digit number
Some use a prefix, a suffix, or both
Example: Intel® Celeron® Processor N4500
Straightforward naming
Minimal performance
Efficiency‑first design
Higher numbers within the Celeron family generally indicate incremental improvements, such as:
Slightly higher clock speeds
More cache
Minor platform updates
Best for: Single‑purpose devices and ultra‑light workloads.
Why This Actually Matters for IT Teams
Confusing CPU names don’t just cause headaches, they cause bad decisions.
We regularly see organisations dealing with:
Over‑spec’d laptops that push up lease costs
Under‑powered devices that frustrate users
Mixed estates with inconsistent performance
At HardSoft, we help IT teams cut through the noise by:
Matching processor ranges to actual job roles
Standardising device performance
Offering flexible leasing that lets you refresh, upgrade, or change mid‑term
Supporting the full lifecycle through services like Boomerang
The Business Guide to On-Device AI: How to Cut the Cloud Cord in 2026
Cloud AI bills are spiraling. New laptops and desktops now run powerful AI right on your team’s machines — cutting costs, locking down data and killing the monthly meter. Here’s how to build the right AI setup for your business.
Quick Summary
If you’ve spent the last two years watching your team test-drive AI tools, you’ve probably noticed two things: it’s incredibly powerful, and your cloud bills are becoming weirdly expensive.
In 2026, businesses are realising that sending every single prompt to a distant data centre is slow, pricey and a compliance minefield. That’s why the tide is turning toward AI independence — running powerful AI models directly on the laptops and desktops your team uses every day.
This guide pulls together everything you need to know: why businesses are switching, who’s building the best AI hardware right now (Apple, NVIDIA and AMD have all thrown their hats in), and exactly which setup fits your team.
We’ve been kitting out UK businesses for 40 years, so these aren’t generic picks — they’re the machines we actually put on people’s desks.
Let’s clear up the jargon, because three very different things get lumped together.
Consumer cloud AI is opening a browser to ask ChatGPT or Gemini a quick question. Handy, but a standalone service — not part of your core IT.
Enterprise cloud AI is the corporate platforms and background automations that rent processing power from distant data centres. This is where the costs live.
True on-device AI means the actual language models are installed and executed entirely within your physical hardware. If a tool needs an active internet connection to function, it isn’t on-device.
That last one is the game-changer — and it’s finally practical for everyday business machines.
The “Cloud Hangover”: Why Businesses Are Switching
The honeymoon period with cloud-based AI is ending. According to recent market data, a staggering 91% of enterprise IT leaders report significant issues with their cloud AI partnerships — citing data security, cost and disappointing performance. A pivot toward on-device AI tackles three headaches:
The “experimentation tax.” In the cloud, every time you ask AI to “summarise this report” or “fix this code,” a meter runs. These are inference costs — the price of the AI actually doing the work — and they’re wildly unpredictable as more staff pile in.
The privacy paradox. To use cloud AI, you send your data to a third party. Even with “enterprise” protections, 76% of organisations worry about data leakage. If you handle proprietary designs or sensitive client info, risk mitigation isn’t enough — you need risk elimination.
The visibility gap. It’s easy to track a monthly SaaS bill. It’s much harder to see the hidden costs — the hours your technical teams burn on security reviews and compliance paperwork just to get a project over the line.
Local AI also simply feels faster. There’s no internet round trip to a remote data centre, so responses often begin almost immediately.
The Privacy Advantage
At HardSoft, we talk a lot about architectural privacy. It sounds technical, but it’s dead simple: data that never leaves your computer cannot be leaked.
Run AI locally and your customer data, codebases and internal research stay behind your firewall. You can pull the internet cable out of the wall and everything still works — because all the capability and data is on your machine. No 20-page Data Processing Agreement required, because the data isn’t going anywhere.
In regulated sectors like healthcare, finance and law, where data sovereignty is a legal requirement rather than a nice-to-have, that’s enormous.
Understanding the “10 Billion Rule”
“Surely my laptop isn’t powerful enough to run a ‘real’ AI?” In 2024, you’d have been right. In 2026, you’re likely wrong.
One of the biggest myths is that you need a massive, trillion-parameter cloud model for everyday tasks. In reality, 57% of the AI tasks businesses run rely on lightweight models with fewer than 10 billion parameters — the ones handling routine data formatting, file indexing and document summaries.
Here’s the catch: most companies are still renting cloud space to run these lightweight models, racking up needless API bills. You’re paying for the big daddy but getting a (more than capable) minnow to do the work.
A 10-billion-parameter model doesn’t need a data centre. It only needs around 12GB of memory to run well, because modern AI formats shrink big models so they run locally without a noticeable drop in quality (it’s called quantisation, if you’re curious). Most high-end business laptops today handle this with ease.
Jargon alert — “parameters.” Think of these as the brain cells of an AI. The headline-grabbing models have trillions, but an AI with 10 billion cells is more than smart enough for conversational AI, complex summarisation and even advanced coding assistance.
The Contenders: Apple vs NVIDIA vs AMD
The best news for business? This is no longer a one-horse race. In just eight short months the market has completely transformed, and there’s now an AI-ready machine tailored to every role in your company.
Apple: the unified memory long game
It’s a common misconception that Apple jumped on the AI bandwagon. In fact, the company started baking “neural engines” — parts dedicated purely to AI — into its chips back in 2017. Every lesson learned went into the M-series processors that power today’s MacBooks, where the CPU, GPU and Neural Engine all work together.
Apple’s secret weapon is Unified Memory Architecture (UMA). In a traditional PC, the processor and the graphics card have separate pools of memory, and shuttling data between them creates a bottleneck. Apple gave the whole chip one massive, shared, high-speed reservoir instead. That’s why a 128GB MacBook Pro can run a 70-billion-parameter model with ease — no cloud required. Need to go bigger? The Mac Studio, with up to 512GB of unified memory, chews through models over 100 billion parameters right at your desk.
This isn’t “toy model” territory, either. Forward-thinking firms are now running massive open-weight models locally with output quality practically indistinguishable from top-tier cloud models — at zero per-token cost and with absolute privacy.
The Mac mini as a 24/7 “AI agent hub”
One of the most interesting trends of 2026 is the humble Mac mini as an “AI agent hub” — a small, quiet, low-power machine running background AI 24/7, organising files and monitoring data while you sleep. Under the latest macOS you can even daisy-chain several together into a private AI supercomputer in the corner of the office. For some firms, moving routine tasks off the cloud and onto local minis has cut total cost of ownership by more than 50%.
Bonus: Apple’s Private Cloud Compute handles the occasional oversized task on secure Apple Silicon servers without retaining your data afterwards — and it’s included natively in Apple Intelligence, no extra token fees.
NVIDIA: raw power and universal compatibility
NVIDIA took the early crown by dropping powerful discrete GPUs straight into Windows workstations, letting businesses stop paying per-token cloud fees and start running models in-house. And it isn’t backing down.
Interestingly, 56% of organisations using Macs for local AI also deploy NVIDIA hardware — they’re not switching teams, they’re building hybrid fleets to get the best of both.
NVIDIA’s real trump card is compatibility: because most of the world’s AI software is built for its tech, technical teams prefer it for heavy-duty projects. It’s also pushed into mobile with the RTX Spark platform, powering AI-ready Windows laptops like the Surface Laptop Ultra.
The biggest surprise of 2026 has been the rapid rise of AMD. Rather than chase the biggest, most power-hungry chip, AMD built a brilliant middle ground: significantly more AI performance than a standard office laptop, but without the heat, noise and eye-watering energy bills of a top-tier rig.
Its new Halo chip lineup launches at roughly 20% cheaper than competing NVIDIA options — which makes AMD-powered devices ideal for wide-scale company rollouts, not just a treat for the developers.
It lets whole teams effortlessly run the 57% of everyday AI tasks that don’t need a massive, expensive tech stack.
Cloud vs Local: Where Do Your Tools Actually Run?
To build a smart hardware strategy, you need to know which tools need the internet and which run entirely offline.
The full model files sit on your hardware and process data entirely offline, behind your firewall, with total privacy.
The 2026 rule of thumb: use cloud platforms for massive, creative or web-scale research where data sensitivity isn’t a barrier. For routine automation, private company data and 24/7 background agents, run open-weight models locally on your leased hardware to kill subscription costs and guarantee privacy.
Jargon alert — “open-weight model.” Standard cloud AI keeps its system locked away behind an internet wall. An open-weight model hands you the finished, fully trained settings so you can run it 100% offline with total privacy.
Match the Hardware to Your Team
The smartest businesses right now aren’t just buying “faster computers” — they’re building targeted technology portfolios. Think of the switch you made to Netflix: you didn’t rip the aerial off the roof, you kept the BBC and ITV too.
Here, the cloud is Netflix and your local machines are the trusty aerial. Whatever your team size, the goal is identical: absolute privacy, predictable costs and flawless performance.
Business Type
Recommended Hardware
Why It Works
Cloud Use?
Agile team of 10 — creative, marketing, consulting
Sovereign, high-memory local processing for sensitive R&D
Definitely — for ultra-massive, multi-layered workloads
The strategy today is never about buying the most expensive machine available — it’s about matching the right tool to the job. For raw memory capacity, the Mac Studio and MacBook Pro are hard to beat. For specialist engineering, NVIDIA workstations offer industry-standard software support. For a mobile workforce, AMD ultra-portables and Copilot+ Windows laptops deliver local AI speed with all-day battery.
Is on-device AI really as good as the cloud? For what most businesses do day-to-day, yes — and it’s often faster, because you’re not waiting on a busy cloud server to respond.
Does “on-device” mean we can’t use the cloud at all? Not at all. The future is hybrid. Modern operating systems are smart enough to process everyday tasks locally for free, then tap secure cloud infrastructure only when you need the extra muscle. You get local privacy and infinite cloud scale.
Isn’t the upfront hardware cost too high? You’re trading a never-ending monthly bill for a fixed cost you can manage. Buying outright is a big CapEx hit, though — which is exactly why leasing is so popular (more below).
What about data security? This is the single biggest win. What never leaves your computer cannot be leaked to third-party servers. No complex data agreements, no exposure.
So the future is hybrid? That’s where we’d put our money. On-device AI brings speed, security and savings; cloud AI is your super-sub for when things get heavy.
Leasing AI Supercomputers With HardSoft
Here’s the honest bit: the hardware that makes on-device AI possible isn’t cheap to buy outright. A capable AI workstation runs anywhere from £2,000 to £7,000+, and buying a fleet of them is a serious capital hit. That’s why the shift to local AI and the shift to leasing go hand in hand — you swap unpredictable cloud fees for one fixed, predictable monthly cost.
We’ve spent 40 years helping businesses get the right tech at the right time — from global brands like LG and Levi’s to hundreds of fast-growing smaller firms. It’s IT leasing, reinvented.
Whether you’re kitting out a creative team of ten or building a private AI supercomputer cluster, the question is no longer if your business should run AI locally — it’s where. Explore the full range of NVIDIA-powered supercomputers, Copilot+ PCs and Apple Intelligence machines ready to lease today, and cut the cloud cord for good.
Samsung Galaxy Book6 Compared for Business: Book6 vs Book6 Pro vs Book6 Ultra
This guide compares the three Intel-powered Galaxy Book6 models — the Book6, Book6 Pro and Book6 Ultra — and helps you work out which one is right for your team.
Quick Summary
Samsung has become one of the most interesting Windows laptop brands for business, and the Galaxy Book6 range highlights why.
All three models share a processor generation but differ in screen, ports and headroom: the standard Book6 pairs an IPS panel with 16GB of RAM you can’t upgrade after purchase, the Pro doubles that ceiling to 32GB and adds Wi-Fi 7 and single-cable Thunderbolt 4 docking, and the Ultra adds an RTX GPU for teams requiring dedicated graphics (video, design and 3D work.)
Our pick: the Samsung Galaxy Book6 Pro 14” is the right device for most business teams. Enjoy a 1,000-nit AMOLED touchscreen and 30-hour battery at 1.24kg — leasing from £10.53 per week with a free dock!
What All Three Galaxy Book6 Models Share
Every Galaxy Book6 runs Intel’s latest Core Ultra (Series 3) “Panther Lake” silicon, with an NPU fast enough to qualify all three as Copilot+ PCs — 49 TOPS on the Book6, 50 TOPS on the Pro and Ultra.
On-device AI features run locally rather than sending your data off to the cloud. If your team handles sensitive information, that’s reassuring.
They also share the same dependable basics: a solid aluminium body, a comfortable full-size keyboard, a sharp webcam for video calls, and a fingerprint reader to log in. Plus, multi control lets you work across your phone and tablet from one keyboard.
Best for: admin, reception, field staff — anyone living in Outlook, Teams and a browser.
Processor: Intel Core Ultra 5 325 or Ultra 7 355, with 16GB RAM, a 512GB or 1TB SSD and Intel integrated graphics.
Display: a 14″ or 16″ anti-glare display that’s bright and easy on the eyes in an office. It’s a standard LCD, though — not the richer, more colourful AMOLED screen you get on the Pro.
Ports: 2× USB-C, 2× USB-A, HDMI, microSD, combo jack, Kensington slot and Gigabit Ethernet — one up on the Pro. That RJ45 is worth having for fixed-desk staff or sites with patchy Wi-Fi. Wireless is Wi-Fi 6E, not Wi-Fi 7.
Battery: 24 hours on Samsung’s video playback test. At 14.9mm and 1.74kg, it’s the chunkiest of the three despite being the least powerful.
Trackpad: a mechanical clickpad rather than the Pro’s haptic pad — stiffer near the top edge, less consistent across the surface.
The catch: 16GB is the ceiling, and memory can’t be upgraded after purchase.
Best for: almost everyone. Managers, consultants, developers, sales, finance, hybrid workers.
Processor: Intel Core Ultra 7 356H or Ultra X7 358H with Intel Arc graphics, 16GB or 32GB LPDDR5X RAM and a fast PCIe SSD. Samsung quotes 60% more CPU and 70% more GPU power than the last generation — enough for large datasets, heavy multitasking and light video work, without paying workstation prices.
Display: A 14″ or 16″ AMOLED touchscreen — the same bright, punchy screen technology Samsung puts in its top phones. It’s sharp, colourful and glare-resistant, so it stays clear and readable on a train, in a sunny meeting room, or out at a client’s office.
Battery: 30 hours on Samsung’s video playback test. It’s light too — the 16″ is 11.9mm and 1.59kg, the 14″ 11.6mm and 1.24kg.
Cooling & trackpad: it runs cooler and quieter than the standard Book6, so the fan stays quiet on calls, and the trackpad is the smooth, pressure-sensitive kind that clicks evenly wherever you press.
Ports: 2× Thunderbolt 4, USB-A 3.2, HDMI 2.1, a card reader and a combo jack, plus Wi-Fi 7 and Bluetooth 5.4. HDMI 2.1 drives 8K at 60Hz or 5K at 120Hz, so one cable handles most meeting-room displays without an adapter — and Thunderbolt 4 carries displays, data, network and power to a dock over a single connection.
Both share the same processors, RAM options, AMOLED resolution and ports — so the choice is about how your people work.
Pick the 14″ for anyone on the move. At 1.24kg it’s the lighter travel machine, its battery stretches furthest, it’s cheaper to lease — and it comes with the free i-tec dock, so it turns into a full desk setup the moment it’s back at base.
Pick the 16″ for desk-based staff who value screen space. The larger panel suits spreadsheets, side-by-side windows and long document work, and it steps up to quad speakers (the 14″ runs dual) for clearer conference calls.
Best for: video editors, 3D and CAD users, data scientists, developers compiling large builds.
Processor & graphics: everything the Pro has, plus a powerful dedicated NVIDIA graphics card — the sort video editors and 3D designers rely on — with 32GB of memory and a 1TB drive as standard, on a 16″ AMOLED screen.
Cooling & charging: beefed-up cooling to handle the extra power, better speakers, and the fastest charging in the range — around 65% in half an hour.
Ports: the same as the Pro, with one addition — a full-size SD card slot that photographers and videographers will use every day.
Weight: still slim, but heavier at 1.89kg because of that RTX GPU. An Intel Arc variant drops that to 1.79kg.
The catch: unless your team genuinely edits 4K video, renders 3D or runs heavy AI work, that expensive graphics card mostly sits there unused. Ideal for a handful of specialists; overkill for a whole team.
Buying a fleet of Galaxy Book6 Pros outright is a five-figure capital hit before you’ve even configured a single device. Leasing turns that into a predictable weekly operating cost with no upfront outlay, and lease payments are typically fully tax-deductible — unlike a purchase, where you’re working through capital allowances.
It also solves the awkward question of what to do with ageing kit. Buy it, and it’s yours to deal with for years. Lease it, and there’s a clean way out at the end:
Flexi-Lease — our most popular option. Switch devices, cancel, or own the kit for £1 at the end of term (from just 12 months).
Pure Rental — around 30% cheaper. Switch, cancel, or return and refresh onto new hardware at expiry (after 3 or 5 years).
Devices for Teams — our most flexible option for 50+ users, ideal for fast-growing teams with headcount changes.
For most UK businesses, the Galaxy Book6 Pro is the right device. Professional performance, an outstanding display, Thunderbolt 4 and Wi-Fi 7, all-day battery and Windows 11 Pro security — in a machine light enough that people can work on the go. With the free dock on the 14″, it’s a complete desk-and-travel setup for £10.53 a week per user.
Surface 13″ vs 13.8″: Does 0.8 Inches Actually Matter?
Two Copilot+ PCs, 0.8 inches apart on paper — but very different machines underneath. Here’s how the Surface Laptop 13″ and Surface Laptop 13.8″ compare for IT teams leasing across a business, and which model belongs with which role.
Quick Summary
On paper, the Microsoft Surface Laptop 13″ and the Surface Laptop 13.8″ (8th Edition) sit a fraction of an inch apart. Both are Copilot+ PCs, both run Intel Core Ultra (Series 3) silicon, and both have a 3:2 PixelSense touchscreen.
But when you look closer 0.8 inches turns into a meaningful fork in the road: different displays, different specs and different features.
For IT teams and business owners about to lease these across a team, those differences shape who gets which device.
Both panels are 3:2, touch-enabled, and individually colour-calibrated. That’s where the similarity ends.
Display
Surface 13″
Surface 13.8″
Resolution
1920 × 1280 (178 PPI)
2304 × 1536 (201 PPI)
Refresh rate
Up to 60 Hz
Up to 120 Hz
Brightness
500 nits
600 nits
Contrast
1000:1
1300:1
HDR / Dolby Vision IQ
No
Yes
For email, documents, and Teams, the 13″ panel is genuinely good. For anyone working with images, video, dashboards, or design tools all day, the 13.8″ is a different class of display — sharper, brighter, smoother, and HDR-accurate.
The 13″‘s Intel Core Ultra 5 handles typical office workloads comfortably. What it can’t do is scale as far: 24GB of RAM is the maximum. For finance teams, analysts, developers, and anyone running large datasets, the 13.8″ is the only one of the two that has the headroom — up to 64GB with options up to Intel Core Ultra 7 and X7.
Both deliver the same 50 TOPS NPU (Intel AI Boost), so all Copilot+ features (Recall, Click to Do, Studio Effects, AI-powered search) run identically on either.
Models and Configurations
Both laptops come in the same core build options — your choice of processor, 256GB / 512GB / 1TB storage, and (on the 13.8″) up to 64GB RAM — all on a removable Gen 4 SSD.
Where they differ is the security hardware you can add at order. The 13″ comes in standard configurations only. The 13.8″ can be ordered as standard, or specced with two business-grade extras:
Integrated privacy screen — a built-in filter that narrows the viewing angle so on-screen content stays unreadable to anyone beside or behind the user. Ideal for finance, legal, HR, or anyone working with sensitive data in open-plan offices, on trains, or in client sites.
Smart Card Reader — a built-in reader for physical smart-card authentication, often a requirement in government, healthcare, and other regulated or high-security environments.
Both share the same USB-A 3.2 port and DisplayPort 2.1 over USB-C.
Two things to flag here. First, the 13″ charges over USB-C and ships with a 45W USB-C wall charger (in select markets and configs); for faster charging you’ll want a 60W+ USB-C PD charger.
Second, the 13″ has no Surface Connect port. If your business is already standardised on Surface Dock infrastructure, the 13″ won’t slot in — you’d be looking at USB-C docks instead.
USB4 on the 13.8″ runs at four times the bandwidth of the 13″‘s USB 3.2, and supports a third external 4K display.
Security and Biometrics
Both are Windows 11 Secured-core PCs with Microsoft Pluton TPM 2.0 and full Microsoft Defender support, so they’re equally manageable from an IT fleet perspective.
Biometrics is where they differ:
Surface 13″: Windows Hello fingerprint reader built into the power button
Surface 13.8″: Windows Hello facial recognition with Enhanced Sign-in Security
For hot-desking, frequent docking and undocking, or regulated environments where face authentication is preferred for compliance, the 13.8″ has the edge.
Neither model supports pen input. Teams that need pen-and-touch should look at the Surface Pro instead.
Which Should You Lease, and for Whom?
For most teams, the Surface Laptop 13″ is the smart default. It’s lighter, cheaper, and shares the things that actually matter day-to-day with its bigger sibling: the same 50 TOPS Copilot+ NPU, the same removable Gen 4 SSD, Windows 11 Pro, and Secured-core management. So the AI features, the security posture, and the IT manageability are identical.
Reserve the Surface Laptop 13.8″ for the roles that really need more: anyone scaling past 24GB of RAM, driving a triple-4K dock, leaning on the sharper 120Hz HDR display for design or data work, or where face-unlock is a compliance requirement. For those people the premium is money well spent. For everyone else, it isn’t.
Microsoft Surface Laptop Leasing for Your Business
The Microsoft Surface Laptop combines sleek design, powerful performance, and enterprise-grade security to deliver a premium Windows experience. Built for today’s fast-paced workplaces, it seamlessly supports productivity, collaboration, and AI-powered workflows—whether in the office, at home, or on the move.
Work securely with advanced, built-in enterprise security
What's the difference between a Surface Laptop and a Surface Pro?
The Surface laptop is a traditional clamshell laptop with a built-in keyboard, while the Surface Pro is a detachable 2-in-1 tablet that becomes a laptop with an optional keyboard cover. The Pro offers more flexibility for touch and pen input, while the laptop suits users who want a conventional laptop experience.
How long does a Surface Laptop last?
Surface laptops are generally built for longevity, though how long yours actually lasts in practice depends on the model, usage, and how well it’s maintained. Battery efficiency has also improved notably on newer Copilot+ PC models compared to older generations. See why battery life is better on Copilot+ PCs for more detail.
Will AI features affect battery life on a Surface Laptop?
AI features (Copilot+ capabilities) run on a dedicated Neural Processing Unit, so they’re designed to have minimal impact on battery life compared with running the same tasks on the CPU. However, heavy and sustained AI workloads will still draw more power than light everyday use
Is the Surface Pro suitable for remote and hybrid workers?
Yes, the Surface Pro’s portability, detachable design and long battery life make it well suited to hybrid workers who move between home, office and travel. It’s tablet mode is also useful for presentations and note-taking in meetings.
What types of work is the Microsoft Surface Pro best suited for?
The Surface Pro suits client-facing and mobile roles like sales and real-estate, thanks to its 2-in-1 design. The optional pen is useful for drawing and precise input, and built-in 5G support staff working on the go. It’s less suited to heavy creative or resource-intensive work, where other devices perform better.
Dell Pro Devices Compared: Choosing the Right Fit for Your Team
This guide walks you through the Dell Pro family so you can confidently choose the right device for your organisation.
What Makes Dell Pro Different?
The Dell Pro series is all about making work feel smoother, faster, and more secure, without overcomplicating things.
They’re built to last. Each device comes in a modern, sturdy design that passes MIL‑STD durability testing.
They’re ready for AI‑powered work. With Intel® Core™ Ultra processors and dedicated NPUs, the Pro series is designed to run on‑device AI tasks efficiently.
Security is baked in. You get commercial‑grade protections like hardware‑assisted security, plus optional additions such as smartcard readers and IR cameras for secure sign‑ins.
There’s a size and style for everyone. Whether your team prefers lightweight 13‑inch devices or bigger 16‑inch laptops with full numeric keypads, the range covers a variety of needs and working styles.
The Dell Pro 14 is one of the best all‑rounder devices in the 2026 lineup. With up to Intel® Core™ Ultra processors, optional built‑in AI, and a business‑friendly 14″ 16:10 display, it’s ideal for hybrid work and general productivity.
Why choose it?
A lightweight, durable chassis that still meets MIL‑STD testing.
Strong everyday performance for multitasking, video calls, and office apps.
ExpressCharge options let users top up quickly between meetings.
Ideal for employees who split time between home, office, and travel.
For users who benefit from more screen real estate, or simply prefer a full‑size workstation feel, the Dell Pro 16 is a fantastic choice. It features a spacious 16″ 16:10 display, optional AI capabilities, and a numeric keypad for those who work heavily in spreadsheets or data entry.
Why choose it?
Extra display space boosts productivity for multitasking and document‑heavy work.
Business‑ready durability and commercial‑grade security.
Configuration options to meet a wide range of performance needs.
If your users are constantly travelling or prefer a slim and lightweight device without compromising power, the Dell Pro 13 Premium is purpose‑built for mobility.
Why choose it?
Dell’s lightest and slimmest Pro laptop—perfect for on‑the‑go professionals.
AI‑ready CPU with NPU for accelerated workloads.
High‑quality FHD+ or QHD+ display options.
Excellent for executives, consultants, and frequent travellers.
AI‑enabled laptops are quickly becoming the norm, and the Dell Pro range is already ahead of the curve.
With integrated NPUs and Windows 11 Pro, your team can tap into smarter everyday features, like real‑time transcription, clearer AI‑enhanced video calls, and faster on‑device Copilot actions that don’t have to wait for the cloud.
Dell also highlights that its Copilot+ models deliver 40+ TOPS of AI performance, which basically means they can handle more advanced AI experiences locally and more efficiently than traditional laptops.
Security is at the heart of the Dell Pro range. Each device comes with built‑in hardware protections like Dell SafeID and SafeBIOS, plus optional extras such as smartcard readers and IR cameras for secure authentication.
From an IT standpoint, Dell Pro devices are also designed to be easy to look after. They’re simple to deploy, manage, and maintain across a growing fleet, and Dell positions them as the most manageable commercial PCs.
The Dell Pro range makes choosing the right business laptop refreshingly straightforward. Instead of navigating complicated model names or second‑guessing performance levels, you get a clear, modern lineup designed around what today’s teams actually need: reliability, security, and the power to handle both everyday work and emerging AI‑driven tasks.
If you’re looking for a laptop that won’t just keep up with your business but help it move forward, the Dell Pro range is a strong place to start.
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