Montreal, Friday August 21, 2026. Some weeks in technology are about announcements. This one has been about physics finally shipping. Three separate stories crossed our desk in the last few days that, on the surface, have nothing to do with each other — a new class of television backlight going on sale in North America, a generation of Arm-based Windows laptops crossing a psychological performance threshold, and one of the largest Patch Tuesdays Microsoft has ever published. Look a little closer and they are all the same story told three ways: the industry is running out of easy gains, so it is going back to first principles and re-engineering layers that had been considered settled for a decade or more.

That is what this daily column is for. We are a Montreal computer and display reseller, not a rumour blog, so our interest is narrow and practical: when a piece of engineering changes, does it change what you should buy, and when? Below you will find our radar of the ten most significant stories we tracked this week, followed by three deep dives where the underlying science is genuinely worth understanding — because in each case the science tells you something the spec sheet does not.

Today's Tech Radar

Deep Dive 1 — Micro RGB: the year the colour filter finally became optional

The large-format living-room screen is where the new backlight science lands first — but the same physics governs signage and conference-room displays. Photo: Prydumano Design / Unsplash.

Samsung's 2026 Micro RGB televisions are now on sale in the United States, in 65-, 75- and 85-inch sizes at $3,199.99, $4,499.99 and $6,499.99 respectively, with a 100-inch model signalled for later in the year. Samsung, LG, Hisense and TCL all showed Micro RGB or Micro-RGB-adjacent sets at CES 2026 in January; this is the point where the category stops being a trade-show demo and starts being something a customer can order.

The pricing is interesting, but the engineering is the actual news, and it is worth explaining properly, because "Micro RGB" sounds like a marketing suffix and is not.

Why LCD needed a colour filter in the first place

A liquid crystal display does not make light. It gates light. Behind the panel sits a backlight; in front of it sits a layer of liquid crystal molecules sandwiched between two polarisers. Apply a voltage across a cell and the crystals twist, changing how much of the polarised light passes through. That is the entire mechanism: a stack of microscopic shutters, each one opening and closing by degrees.

But a shutter is colour-blind. To get a red subpixel, you have to put a red dye filter in front of a white-ish shutter and throw away everything that is not red. Same for green, same for blue. This is a thermodynamically wasteful arrangement, and the waste is not marginal. A conventional colour filter array typically discards the large majority of the light that reaches it — you are generating broad-spectrum photons at the back of the set and then absorbing most of them one centimetre later, as heat, in a dye layer.

There is a second, subtler cost. Dye filters have soft spectral edges. A "red" filter does not pass a clean, narrow band of red; it passes a broad hump that leaks some orange and some deep magenta. That leakage is exactly what limits colour purity. When a display engineer talks about a screen that cannot reach the far corners of a wide gamut, they usually mean the filters are not selective enough to isolate the primaries.

The industry's first serious answer to this was quantum dots. Instead of subtracting colour with a dye, you use nanocrystals to convert blue light into extremely narrow-band red and green by photoluminescence. Because a quantum dot's emission wavelength is set by its physical diameter, you can tune it precisely, and the emitted peaks are narrow. That is why QD-LCD sets took a real step up in colour volume. But quantum dots are still a conversion layer sitting in front of a blue backlight, and conversion is never free — there are Stokes losses, there is re-absorption, and in most implementations there is still a colour filter downstream cleaning up the result.

What Micro RGB actually changes

Micro RGB attacks the problem at the source. Instead of a white or blue backlight that gets filtered or converted, the backlight itself is built from separate red, green and blue LEDs, each smaller than 100 micrometres, arranged in a dense array. Each LED emits its target colour directly, from the physics of its semiconductor bandgap, rather than having that colour carved out of a broader spectrum downstream.

Two consequences follow, and they compound.

The first is spectral purity. An LED's emission is inherently narrow-band — a red InGaAlP or a green InGaN emitter produces a relatively tight peak. If your backlight already emits close to the primaries you want, the colour filter becomes redundant or drastically simplified. Samsung's claim for the resulting colour coverage is 100% of the Rec.2020 gamut, which is a genuinely demanding target; Rec.2020 is defined with monochromatic primaries, and until recently essentially nothing in consumer electronics came near full coverage of it.

The second is spatial control, and this is the one that changes what you actually see in a dark room. Mini-LED sets already divide the backlight into dimming zones, so dark regions of the image can be dimmed independently of bright ones. The limitation has always been zone count relative to emitter size: when a small bright object sits on a black field, the zone containing it lights up an area far larger than the object, and you get blooming — a soft halo. Sub-100-micrometre emitters let you pack far more of them into the same area, which means finer-grained dimming, which means the halo shrinks toward the object. Add the fact that each zone is now independently colour-controllable rather than merely brightness-controllable, and you can suppress the desaturated grey wash that afflicts near-black scenes on conventional LCD.

Why this is not simply "MicroLED, cheaper"

It is easy to conflate the two, and the naming does not help. True MicroLED is an emissive technology: there is no liquid crystal layer at all, and each subpixel is its own microscopic LED. It is spectacular and, at consumer scale, still brutally difficult to manufacture — the mass-transfer problem of placing tens of millions of individual dies with near-zero defect rate has been the industry's white whale for a decade. Coverage this month has been fairly blunt that MicroLED televisions are being displaced in the 2026 lineup by exactly this RGB-backlight approach, which reaches much of the perceptual benefit using a manufacturing process the industry already knows how to run at volume.

Micro RGB, by contrast, keeps the LCD sandwich — liquid crystal, polarisers, thin-film transistor backplane — and replaces only the light source. That is a far more tractable industrial problem, which is precisely why it is shipping at $3,199 for 65 inches rather than at the price of a car.

What this means for what you should actually buy

Here is the part where we resist the temptation to tell you to spend six thousand dollars. For the overwhelming majority of real deployments — a boardroom, a classroom, a retail window, a home office — the constraint that determines whether a large display looks good is not gamut coverage. It is ambient light, panel brightness, and duty cycle. A 100% Rec.2020 panel in a room with an unshaded south-facing window will still look washed out, because you are adding a large, uncontrolled white-light term to every pixel.

So the honest advice for 2026 is this. If you are buying a reference-grade screen for colour-critical work or a flagship home cinema, Micro RGB is now a real option and worth auditioning against OLED with your own content. If you are buying a large screen to be looked at by many people, in a lit room, for many hours a day, the specifications that matter are sustained brightness, rated operating hours, panel uniformity and thermal design — and commercial-grade panels win that comparison decisively over consumer televisions, regardless of backlight generation.

On that basis, the large-format displays we currently have in stock are built for exactly that duty cycle. The LG 86-inch commercial 4K display (3840×2160, 350 cd/m²) is a commercial-lite panel intended for continuous operation rather than evening viewing, which is a different engineering brief from a living-room TV even when the resolution matches. For presentation rooms, the ViewSonic 75-inch 4K UHD wireless presentation display, rated for 24/7 operation, is the workhorse — the 24/7 rating is a statement about thermal headroom and backlight lifetime, not a marketing number. And the Samsung 75-inch Professional Display, QET series sits in the same category with Samsung's commercial panel stack behind it.

For desk work, the calculus is different again: at 60 to 80 centimetres of viewing distance, pixel density and panel uniformity dominate perceived quality far more than backlight architecture. A 32-inch 4K UHD monitor with an ultra-slim frameless design delivers roughly 140 pixels per inch, which is the point at which most people stop being able to resolve individual pixels at a normal desk distance. If your work is colour-dependent, the ViewSonic 32-inch 4K UHD professional graphic design monitor with 90W USB-C adds factory colour work and single-cable docking, which matters more day to day than an extra few percent of gamut you will never assign a colour value to.

If you are not sure which of those fits your room, tell us the dimensions, the ambient light and the hours per day, and we will size it properly — you can request a free quote from our team and we will do the arithmetic with you.

Deep Dive 2 — Silicon in 2026: what "2nm" means, why 80 TOPS is the number to watch, and where the real bottleneck moved

Process node names stopped describing physical dimensions years ago. What they describe now is a package of transistor architecture, density and power characteristics. Photo: Bermix Studio / Unsplash.

Three silicon stories landed in the same window this month, and they are best read together: TSMC scaling its 2nm-class family toward roughly 100,000 wafers per month by year end with N2P entering mass production in the second half; reports of a 1.6nm-class process targeting production around Q4 2026 with roughly 10% more performance or ~15% better power efficiency than 2nm; and HBM4 memory moving into volume production, with SK hynix starting in Q2 2026 and Samsung supplying Broadcom's AI accelerators.

First, a necessary correction: "2nm" is not a measurement

This trips up almost everyone, including people who write about it professionally. There is no feature on a 2nm chip that is two nanometres across. A silicon atom has a covalent radius of roughly 0.11 nanometres; a two-nanometre gate would be about eighteen atoms wide, and the transistor would leak so badly through quantum tunnelling that it would not function as a switch.

Node names decoupled from physical dimensions somewhere around the 22nm generation and are now essentially marketing labels for a package of characteristics: transistor density (in millions of transistors per square millimetre), the drive current available at a given voltage, and the leakage floor. When a foundry says "2nm", the useful translation is "the generation that follows 3nm, using gate-all-around nanosheet transistors, at roughly 1.15× to 1.3× the density."

Gate-all-around: the actual physical change

The genuine engineering shift at this node is structural. For roughly a decade, leading-edge logic used FinFET transistors: the conducting channel is a vertical fin of silicon, and the gate wraps around it on three sides. More gate contact means better electrostatic control — the gate can more decisively shut the channel off, which limits the leakage current that flows when the transistor is supposed to be closed.

Gate-all-around, or nanosheet, transistors take the obvious next step: stack several thin horizontal silicon sheets and wrap the gate around all four sides of each one. The gate now controls the channel from every direction. Practically, this buys two things. It reduces sub-threshold leakage, which is what dominates static power consumption in a modern chip — the power a laptop burns doing nothing. And it makes the effective channel width a design variable: because you choose the sheet width, you can trade drive current against area on a per-circuit basis, rather than being quantised to a whole number of fins.

That second property is why the power-efficiency claims at these nodes tend to be more credible than the raw performance claims. Leakage reduction and channel tuning show up directly in battery life. Peak clock speed is still limited by thermals and by the interconnect, which has not been scaling nearly as well as the transistors themselves.

The 1.6nm question, and why the gains are shrinking

Note the size of the reported improvement for the 1.6nm-class process: on the order of 10% more performance or about 15% better power efficiency versus 2nm. Read that number carefully, because it is the story of contemporary semiconductor manufacturing in a single figure.

In the era of classical Dennard scaling — roughly 1975 to 2005 — shrinking a transistor made it simultaneously smaller, faster and lower-power, and you got all three for free with each node. That relationship broke down when supply voltages stopped scaling, because you cannot reduce the threshold voltage without leakage rising exponentially. Since then, each node has been an increasingly expensive negotiation: extreme ultraviolet lithography at 13.5nm wavelength, multi-patterning, new channel materials, new transistor architectures — all to buy percentage-point improvements rather than doublings.

This is why the interesting engineering has migrated. If you cannot get much more out of the transistor, you get it out of architecture — specialised accelerators instead of general-purpose cores — and out of packaging, moving memory physically closer to compute. Which brings us to the third story.

HBM4 and the memory wall

The dirty secret of AI compute is that the arithmetic units are usually idle. A large language model's inner loop is dominated by moving weight matrices from memory into the multiply-accumulate arrays; the multiplication itself is comparatively cheap. Compute throughput has grown far faster than memory bandwidth for thirty years, and the gap — the "memory wall" — is now the binding constraint on most AI workloads.

High Bandwidth Memory is the structural answer. Instead of placing DRAM chips on a motherboard and running signals over centimetres of trace, HBM stacks DRAM dies vertically, connects them with through-silicon vias — vertical copper columns punched straight through the silicon — and mounts the stack on the same interposer as the processor, millimetres away. The result is a very wide, relatively slow bus rather than a narrow fast one, which is a much better trade when what you need is aggregate bytes per second at tolerable power. HBM4 widens that interface again over HBM3E.

SK hynix beginning HBM4 mass production in Q2 2026 and Samsung landing a Broadcom supply arrangement are not abstract industry news. HBM capacity is currently the rate-limiter on how many AI accelerators can physically be built, which propagates into datacentre buildout schedules, into cloud inference pricing, and eventually into what your software subscriptions cost.

The NPU arms race: 45 TOPS to 80 TOPS in one generation

The neural processing unit has gone from a checkbox to the component that determines whether AI features run locally or in someone else's datacentre. Photo: Matthew Fournier / Unsplash.

Qualcomm's Snapdragon X2 Elite generation carries an 80 TOPS Hexagon NPU, roughly doubling the 45 TOPS of the first-generation X Elite, with HP's X2E-90-100 variant quoted at 85 TOPS. Independent testing reported by Windows Central has the X2 Elite Extreme leading Intel's flagship by a wide margin in multi-threaded rendering, and battery figures in reviews range from a conservative 10–12 hours under mixed workloads up to nearly 20 hours of display-on time in standardised rundown tests — a spread that tells you, correctly, that battery life is workload-dependent and that you should treat any single headline number with suspicion.

What is a TOPS, and should you care? It is trillions of operations per second, and on its own it is a nearly useless number — it does not specify numeric precision, and an operation at INT4 is not comparable to one at FP16. What the figure does usefully indicate is the size of model that will run acceptably on the device instead of in the cloud. Microsoft's Copilot+ tier was drawn at 40+ TOPS precisely because that is roughly where useful small language models, real-time transcription, live translation and semantic search over local files become responsive rather than sluggish. Doubling to 80 TOPS moves the ceiling up to larger models and to running several of them concurrently.

The architectural reason NPUs exist at all is efficiency, not raw speed. A CPU core is a general-purpose machine carrying enormous overhead — branch prediction, out-of-order scheduling, speculative execution — that is pure waste for a workload consisting of predictable, dense matrix multiplication. An NPU strips that out and builds a systolic array: a grid of simple multiply-accumulate units through which data flows rhythmically, each unit passing partial results to its neighbour. Per operation, it can be one to two orders of magnitude more energy-efficient than a CPU. On a laptop running on a battery, energy per operation is the whole game.

Practical buying advice: Arm or x86 in late 2026?

The Arm-versus-x86 question on Windows is no longer about whether it works. It is about what you run. Arm laptops are the stronger choice when your workload is browser-, Office- and communications-heavy, when you travel, and when on-device AI features matter. They remain the weaker choice for legacy line-of-business applications with native drivers, for specialised engineering software, and for anything with a hardware dongle or a kernel-mode agent that has not been recompiled.

We stock both sides of that decision. On the Arm side, the Dell Latitude 7455 with Snapdragon X Elite X1E-80-100, 32 GB and a QHD+ touchscreen is the premium configuration, and the Dell Latitude 5455 with Snapdragon X Plus X1P-42-100 and 16 GB is the volume-deployment version of the same idea. Both are Copilot+ class, so the on-device AI features are available today rather than pending.

On the x86 side, where compatibility is non-negotiable, the Intel Core Ultra Series 2 machines are the sensible default: the Dell Pro 16 Plus with Core Ultra 7 268V, vPro and 32 GB for people who want screen area, or the Dell Pro 13 Premium with Core Ultra 5 236V and vPro for people who want the bag to be light. The Lunar Lake generation put the memory on the processor package — the same physical-proximity logic as HBM, applied at laptop scale — which is a large part of why its idle power is so low.

One note on memory that we repeat often because it keeps mattering: on machines with on-package memory, RAM is not upgradeable. Ever. If a machine is going to live five years and you expect to run local AI models on it, buy 32 GB now rather than regretting 16 GB in 2029. And if your workload is genuinely heavy — rendering, simulation, large local models — a workstation is still the right answer; the Lenovo ThinkPad P16 Gen 2 mobile workstation and the HP Z2 G9 tower with Core i9-14900K, 32 GB and 1 TB exist because thermal envelope, not instruction set, is what limits sustained performance.

For tablets, the same NPU logic applies one tier down. The Samsung Galaxy Tab S10+ with a 12.4-inch WQXGA+ display, Dimensity 9300+ and 12 GB is the capable end, while the Samsung Galaxy Tab A9+ with an 11-inch WUXGA panel covers kiosk, signage-companion and field-data roles where the job is a browser and a form.

Deep Dive 3 — A very large Patch Tuesday, a kernel use-after-free, and a firewall you cannot work around

Two of this month's most consequential flaws are in code most users never think about: a Windows socket driver and a VPN appliance. Photo: FlyD / Unsplash.

August's Patch Tuesday was enormous. SecurityWeek reports 421 CVEs; Tenable's count for the same release is 398. That discrepancy is not an error by either — vendors and trackers differ on whether to count republished CVEs, Chromium-derived Edge issues and third-party components rolled into Microsoft's bulletin. Either way, it is one of the largest single releases Microsoft has published, and the distribution is roughly 236 in Windows, 98 in Office, 30 in SharePoint Server, 26 in developer tools, 17 in Azure and 7 in Exchange Server.

Volume, though, is the least important thing about it. One flaw in that pile — CVE-2026-68820 — was already being exploited before the patch existed.

Use-after-free, explained without a computer science degree

CVE-2026-68820 is a use-after-free in afd.sys, the Ancillary Function Driver for WinSock — the kernel-mode driver that underpins the Windows Sockets API. Microsoft states it has been used to elevate privileges to SYSTEM.

Here is the bug class in plain terms. A running program requests memory from the operating system, uses it, and eventually releases it. Releasing memory does not erase it; it simply marks the region as available for reallocation. The danger arises when the program keeps a stale pointer to that released region and later dereferences it. The memory may now belong to something else entirely.

Think of it as a hotel room key. You check out; the front desk marks the room available; a new guest checks in. Your key card was never physically destroyed. If the lock is not rekeyed, you can walk back into a room that is now someone else's — and everything in it is now yours to read or modify.

An attacker who can trigger a use-after-free reliably does something clever with this: they arrange to have the freed memory reallocated with data they control, before the stale pointer is used. If that memory contained a structure with a function pointer in it, and the attacker now controls the contents, the program will call whatever address the attacker wrote there. In user space that is bad. In kernel space it is catastrophic, because kernel code runs at the highest privilege level on the machine — it can read any process's memory, disable security tooling, and install persistence beneath the level at which most endpoint agents can see.

Why the socket driver specifically

afd.sys is an unusually attractive target, and the reason is architectural. It is reachable from unprivileged user code — any process that opens a network socket touches it — and it runs in the kernel. That combination, low barrier to reach plus high privilege on arrival, is exactly what makes a local privilege escalation primitive valuable. Historically, flaws in this driver have appeared in the toolkits of well-resourced actors, and reporting on this month's flaw notes that the tradecraft pattern is consistent with nation-state use.

It is also worth understanding where such a bug fits in an intrusion. On its own, a local privilege escalation does not get an attacker into your network. It is the second stage. The first stage — a phished credential, a malicious document, a compromised software update — gets code running as an ordinary user. The privilege escalation is what converts that foothold into control of the machine, and from there into lateral movement. This is why "it requires local access" is a much weaker reassurance than it sounds: by the time it matters, the attacker already has local access.

The same release also fixed CVE-2026-62878, a critical Windows DNS Server flaw permitting remote unauthenticated code execution with elevated privileges and no user interaction. If you run DNS on Windows Server, that one deserves your attention independently.

CVE-2026-20349: when "only a denial of service" is a business outage

Cisco's advisory of August 11 describes CVE-2026-20349, a flaw in the Remote Access SSL VPN service of ASA and Secure FTD software, rated CVSS 8.6. The mechanism is insufficient error checking when processing HTTP requests: a crafted request causes the device to reload. No authentication. No user interaction. Cisco's PSIRT confirmed active exploitation, and CISA added it to the Known Exploited Vulnerabilities catalog with an August 14 remediation deadline for US federal agencies. There are no workarounds — the only fix is a fixed software release, and Cisco has published hot fixes across ASA 9.16 through 9.24 and FTD 7.0 through 10.0.

Security people are sometimes dismissive of denial-of-service bugs because nothing is stolen. That instinct is wrong here, for three reasons worth spelling out.

First, the target is the concentrator through which remote staff reach everything. When it reloads, every VPN session drops. For a distributed organisation, that is not degraded service; it is a full stop.

Second, availability attacks are frequently used as cover. A security team occupied with a firewall that keeps rebooting is a security team not reading authentication logs.

Third — and this is the structural point — the class of bug matters as much as its stated impact. Insufficient error checking on unauthenticated input in a network-facing parser is the same soil from which memory-corruption bugs grow. A crash today means an attacker reached a code path they should not have reached. That the consequence this time is a reload rather than code execution is a matter of the specific memory layout, not of design.

Meanwhile, Samsung's August Galaxy update remediated 56 vulnerabilities — 38 from Google's Android bulletin plus 18 Samsung-specific — including eight critical Android flaws. Mobile devices sit on the same networks, hold the same credentials and read the same mail as laptops. They belong on the same patch calendar.

What to do about it, in order

The practical hierarchy has not changed in years, which is itself informative:

Patch the exploited things first. CVE-2026-68820 and CVE-2026-20349 are both confirmed exploited. Confirmed exploitation is the single strongest prioritisation signal that exists — far stronger than CVSS score, which describes theoretical severity rather than observed activity. CISA's KEV catalog is a free, public feed of exactly this signal, and it is worth wiring into your process even if you are not a federal agency.

Assume privilege escalation will succeed and design accordingly. Kernel bugs will keep appearing. The defences that hold up regardless are the boring ones: users who are not local administrators, hardware-backed credential isolation, and Secure Boot with a measured boot chain — the mechanisms that make a compromised kernel harder to hide and easier to detect. Business-class hardware with a discrete TPM and firmware-level management is doing real work here, not just filling a compliance checkbox.

Make patching cheap enough that it actually happens. Most organisations that fall behind on updates do so because updating is disruptive, not because they disagree with the principle. Remote management — Intel vPro's out-of-band capability, or an equivalent — is what turns a Saturday of desk visits into a scheduled task.

That last point is where hardware choice becomes a security decision. Machines like the HP EliteBook 840 G11 with Core Ultra 5 125U and vPro, and desktops like the HP Elite 800 G9 small-form-factor with vPro and the Lenovo ThinkCentre M70q Gen 5 tiny desktop, ship with the management and attestation features that make a large fleet patchable on a schedule rather than on a scramble. They are also, not incidentally, still receiving firmware updates — which the ten-year-old machine in the corner is not.

If you are unsure which of your devices are still receiving firmware and driver support, or you want a straightforward inventory of what is out of support and what should be replaced first, that is a conversation we have most weeks. Request a free quote from our team and we will go through it with you — there is no charge for the assessment.

Glossary of the Week

Setup at a Glance

Sources & Further Reading

Displays: Samsung Newsroom — Micro RGB TV lineup; SamMobile — 2026 Micro RGB TVs on sale in the US; ecoustics — 2026 Micro RGB pricing and availability; TechRadar — how RGB mini-LED changes the premium TV landscape; Notebookcheck — Micro RGB lineup pricing and specs.

Silicon and AI hardware: Wccftech — TSMC 2nm toward 100k wafers per month; TrendForce — TSMC scales 2nm capacity; Samsung–Broadcom HBM4; Android Central — reports of 1.6nm production in Q4; SK hynix Newsroom — 2026 HBM-led memory outlook; Windows Central — Snapdragon X2 Elite Extreme lab testing; Tom's Guide — Snapdragon X2 Elite key features.

Security: SecurityWeek — August 2026 Patch Tuesday, 421 CVEs and one exploited zero-day; Tenable — August 2026 Patch Tuesday analysis (CVE-2026-68820); Security Affairs — zero-day and wormable RCE; BleepingComputer — Cisco ASA and FTD VPN flaw exploited; The Hacker News — CVE-2026-20349 exploited in the wild; eSecurity Planet — weekly roundup, including Samsung's 56 Galaxy fixes.

General technology news: Tech Startups — Top tech news, August 21, 2026; TechTarget — weekly news roundup.

Photos: Unsplash (free commercial licence) — Prydumano Design, Bermix Studio, Matthew Fournier and FlyD.

The Bottom Line

Three stories, one underlying pattern. Micro RGB is the display industry admitting that the colour filter — a component nobody questioned for twenty years — was the bottleneck all along, and rebuilding the light source rather than optimising around it. The silicon story is the same admission at a different scale: transistor scaling now yields ten or fifteen percent per generation, so the gains have moved into architecture and packaging, into NPUs and stacked memory. And the security story is what happens when a layer that everyone assumed was solved, a socket driver and a VPN appliance, turns out to have been carrying assumptions that no longer hold.

The practical lesson for a buyer is reassuringly unglamorous. Ignore the headline number and ask what constrains your actual situation. If it is a bright room, buy brightness before gamut. If it is battery life on the road, the NPU and the memory architecture matter more than the peak clock. If it is a fleet you have to keep patched, buy manageability, because the machine you can update remotely at 8pm on a Tuesday is worth more than the one that is marginally faster.

We do this arithmetic every day, for rooms and fleets of every size, across Montreal and the rest of Canada. If you would like us to do it for yours — a display sized to the room and its light, a laptop matched to the software you actually run, or a straightforward look at which of your devices are past firmware support — request a free quote from our team. We will tell you honestly if the answer is that you do not need to buy anything yet.

Tech Science Daily is published each weekday by PcHybrid, Montreal. We report only what we can verify against at least two independent sources, and we name them all above. Product availability is checked against live inventory on the day of publication and can change without notice.