Windows Latest is back with yet another Lenovo leak, and this time it’s all about the company’s Windows on ARM laptops for CES 2026. We obtained the full specifications of Lenovo laptops running Qualcomm’s newly announced Snapdragon X2 series SoCs.
The company has four new Copilot+ PCs with ARM, including the Lenovo Yoga Slim 7x, IdeaPad 5x 2-in-1, IdeaPad Slim 5x 13”, and 15”. All fit the thin and light moniker that ARM laptops are known for, and support touch screens as well.
According to our sources, these upcoming Lenovo devices will run on Snapdragon X2 Elite and Snapdragon X2 Plus processors. Interestingly, we didn’t see the flagship X2 Elite Xtreme chip in the mix, and it’s the yet-to-be announced X2 Plus that’s getting all the love from Lenovo, with three models from the popular IdeaPad series.
Note that Lenovo’s ThinkPad series for 2026, leaked by Windows Latest, shows no sign of Snapdragon chipsets, and as expected, the Legion gaming series for 2026 also doesn’t have any variants powered by the ARM chipset.
Based on the information shared with Windows Latest, the Lenovo Yoga Slim 7x (14”, 11) is positioned as the most premium Snapdragon-powered laptop in Lenovo’s CES 2026 Windows on ARM lineup.
It runs on up to the Snapdragon X2 Elite series processor, specifically the 18-core X2E88100 variant, and is clearly aimed at users who want maximum performance without sacrificing portability.
Our sources describe the Yoga Slim 7x as a true thin-and-light machine, weighing just 1.17kg and measuring 13.9mm thick. Despite the slim profile, it’s said to handle demanding workloads like multitasking, AI modeling, and sustained productivity both on battery and while plugged in, which is a highlight of Windows on ARM laptops.
In fact, battery life is one of the headline claims here, with up to 29 hours on a single charge listed in the specifications we received.
Display and camera hardware also stand out in this model. The Yoga Slim 7x features up to a 2.8K PureSight Pro OLED panel with HDR peak brightness reaching 1100 nits, which, although not as impressive as the Yoga Pro 9i Aura Edition, is still suitable for both indoor work and outdoor visibility.
There’s a 9MP MIPI IR webcam, which is unusually high-resolution for a thin laptop, especially since the top-of-the-line Yoga series for CES 2026 comes with a 5MP web camera. However, it’s still lower resolution than the ThinkPad series for 2026, which will rock 10MP cameras on most models, as we leaked earlier.
Pricing for the Yoga Slim 7x for 2026 is estimated to start at $949.99 USD, with availability expected from Q2 2026.
Note: The specifications mentioned here are just one of the configurations we obtained, likely to be the top spec variant, and there might be other configurations that we are unaware of.
| Dimensions & Weight | 12.28″ x 8.70″ x 0.55″ 312 x 221 x as thin as 13.9mm Starting at 2.58 lbs. |
|---|---|
| Display | Up to 14″ 2.8K (2880 x 1800) 120Hz VRR, 16:10, PureSight Pro OLED 1100 nits peak brightness 100% sRGB, 100% P3, 99% Adobe RGB Delta E < 1, Dolby Vision®, VESA DisplayHDR True Black 1000 TÜV Low Blue Light, Eyesafe®, TÜV Flicker-free Touch optional |
| Processor | Snapdragon® X2 Elite X2E88100 Processor 18C |
| Graphics | UMA |
| AI Definition | Copilot+ PC |
| Memory | Up to 32GB LPDDR5X Dual Channel, 9600MT/s |
| Storage | Up to 2TB PCIe Gen 4 M.2 SSD |
| Operating System | Windows 11 |
| Battery | 70WHr Rapid Charge Boost: 15 minutes = 2 hours LVP ~30 hours (target) |
| Power Adapter | 65W Type-C |
| Keyboard & Touchpad | 1.5mm key travel + 0.3mm dish Backlit keyboard 135 x 80mm glass touchpad |
| Camera | 9MP MIPI webcam IR camera, E-camera shutter 4 Voice ID microphones |
| Ports | Left: 2 x USB4 Right: 1 x USB4 |
| Audio | 4 stereo speakers (2x2W woofers + 2x2W tweeters) Dolby Atmos®, Smart AMP |
| Connectivity | Wi-Fi 7, Bluetooth 5.4 |
| Colors | Cosmic Blue |
From what our sources say, the Lenovo IdeaPad 5x 2-in-1 (14”, 11) Snapdragon-powered Copilot+ PC for CES 2026 also has an AMD-powered sibling (up to the Ryzen AI 7 445 processor), as we leaked earlier.
However, the ARM device, although being a convertible, is positioned as a more mainstream and flexible device, especially since the device has dual-slot RAM and an upgradable SSD, which is interesting for a Snapdragon laptop.
Our sources say the IdeaPad 5x 2-in-1 will run on Qualcomm’s Snapdragon X2 Plus platform rather than the Elite tier, which explains its placement in Lenovo’s IdeaPad lineup instead of Yoga or ThinkPad.
The 360-degree hinge allows it to switch between laptop and tablet modes, for typing, productivity, watching content, drawing, or writing notes, using the included Lenovo Linear Pen 2 (AES 3.0), which has both tilt and pressure sensitivity.
From the specifications we obtained, the 14-inch touchscreen display sits in the everyday premium category with up to WUXGA (1920 x 1200) OLED, 400 nits, and VESA Certified HDR. Camera hardware is the basic FHD unit with an IR setup for Windows Hello.
Interestingly, the next-gen Ryzen-powered IdeaPad 5a 2-in-1 with a battery capacity of up to 84Wh, unlike the 60Wh of the X2 Plus-powered IdeaPad 5X 2-in-1.
We do not have information about the pricing of the IdeaPad 5x 2-in-1, but it will likely undercut the Yoga Slim 7x, as we already know that the AMD version will start at $799 USD. However, we are not sure when this convertible ARM laptop will be available for sale.
Note: The specifications mentioned here are just one of the configurations we obtained, likely to be the top spec variant, and there might be other configurations that we are unaware of.
| Dimensions & Weight | 12.27″ x 8.86″ x as thin as 0.69″ 311.6 x 224.9 x as thin as 17.4mm Starting at 3.13 lbs. (1.42kg) |
|---|---|
| Display | Up to 14″ WUXGA (1920 x 1200) OLED 16:10, 400 nits, 60Hz 100% DCI-P3 VESA DisplayHDR TrueBlack 500 TÜV low blue light 10-finger touch |
| Processor | Snapdragon X2 Plus Series Platform |
| Graphics | UMA |
| AI Definition | Copilot+ PC |
| Memory | Up to 32GB LPDDR5X 9523MT/s (Dual Channel) |
| Storage | Up to 1TB PCIe Gen 4 M.2 Expandable second slot (2242/2280) |
| Operating System | Windows 11 Pro / Home |
| Battery | 60Whr |
| Power Adapter | 65W Type-C |
| Keyboard & Touchpad | 1.3mm key travel White backlight (2-level) 120 x 75mm Mylar touchpad Lenovo Pen Gen 2 (AES 3.0) |
| Camera | FHD IR camera with privacy shutter |
| Ports | Right: Power button, 2x USB-A 5Gb/s, Micro SD Card reader Left: 2x USB-C Gen 2 (DP1.4 + PD3.0 + USB) 10Gb/s, 1x HDMI 2.1 TMDS, 1x Audio combo jack |
| Audio | 2 x 2W SLS speakers, Dolby Audio™ |
| Connectivity | Up to Wi-Fi 7, Bluetooth 5.4 |
| Colors | Luna Grey |
It seems like the Lenovo IdeaPad Slim 5x lineup is the company’s most straightforward path to make Snapdragon-powered Windows laptops feel normal and accessible in 2026.
Our sources revealed that both the 13-inch and 15-inch models run on Qualcomm’s Snapdragon X2 Plus platform, and as expected, the focus is on thin-and-light portability, all-day battery life, and an all-metal design.
Battery life is one of the main talking points here, with up to 21 hours listed for the Slim 5x models. Rapid Charge Boost is also supported, allowing up to two hours of usage from just 15 minutes of charging, which is a practical touch for people constantly on the move.
The IdeaPad Slim 5x (13”, 11) is the more travel-friendly option, starting at around 1.2kg and measuring just 14mm thick, making it one of the lightest Snapdragon X2 laptops Lenovo plans to ship for CES 2026. However, our sources say this model will only be available in select markets, and pricing details are unclear for now.
The larger IdeaPad Slim 5x (15”, 11) trades some portability for a bigger screen and richer visuals. It can be configured with up to a 2.5K OLED display, which is notable for a non-Yoga, non-ThinkPad ARM laptop. That alone makes it stand out as a more media-friendly Snapdragon option. Pricing for the 15-inch model is estimated to start at $899 USD, with availability expected from Q2 2026.
Note: The specifications mentioned here are just one of the configurations we obtained, likely to be the top spec variant, and there might be other configurations that we are unaware of.
| Dimensions & Weight | 11.64″ x 8.15″ x as thin as 0.56″ 295.58 x 206.95 x as thin as 14.3mm Starting at 2.62 lbs. (1.19kg) |
|---|---|
| Display | 13.3″ WUXGA (1920 x 1200) LCD 16:10, 400 nits, 60Hz 100% sRGB TÜV low blue light, Eyesafe 10-finger touch |
| Processor | Snapdragon X2 Plus Series Platform |
| Graphics | UMA |
| AI Definition | Copilot+ PC |
| Memory | Up to 32GB LPDDR5X 9600MT/s Dual Channel |
| Storage | Up to 1TB Gen 4 2242 |
| Operating System | Windows 11 Home / Pro |
| Battery | Up to 54WHr |
| Power Adapter | 65W Type-C |
| Keyboard & Touchpad | 1.3mm key travel Backlit keyboard 120 x 75mm Mylar touchpad |
| Camera | FHD IR camera with privacy shutter |
| Ports | Right: Power button, Micro SD, 1x USB3.2-Type A (Always on) Gen 1, 1x USB3.2-Type A Gen 1 Left: HDMI 2.1 TMDS, 2x USB-C DP1.4 + PD3.0 10GB/s, Audio jack, One Key Recovery |
| Audio | 2 x 2W speakers, Dolby Audio™ |
| Connectivity | Wi-Fi 7, Bluetooth 5.4 |
| Colors | Cloud Grey |
| Dimensions & Weight | 13.36″ x 9.29″ x as thin as 0.61″ 339.33 x 236 x as thin as 15.6mm Starting at 3.11 lbs. (1.41kg) |
|---|---|
| Display | Up to 15.3″ 2.5K (2560 x 1600) OLED 16:10, 500 nits, 165Hz 100% DCI-P3 VESA DisplayHDR TrueBlack 500 TÜV low blue light 10-finger touch |
| Processor | Snapdragon X2 Plus Series Platform |
| Graphics | UMA |
| AI Definition | Copilot+ PC |
| Memory | Up to 32GB LPDDR5X 9600MT/s Dual Channel |
| Storage | Up to 1TB Gen 4 2242 |
| Operating System | Windows 11 Home / Pro |
| Battery | Up to 70WHr |
| Power Adapter | 65W Type-C |
| Keyboard & Touchpad | 1.3mm key travel Backlit keyboard 135 x 80mm glass touchpad |
| Camera | FHD IR camera with privacy shutter |
| Ports | Right: Power button, Micro SD, 2x USB-A Gen 1 (one always-on) Left: HDMI 2.1 TMDS, 2x USB-C DP1.4 + PD3.0, Audio jack, One Key Recovery |
| Audio | 2 x 2W speakers, Dolby Audio™ |
| Connectivity | Wi-Fi 7, Bluetooth 5.4 |
| Colors | Cloud Grey |
With this Snapdragon X2-powered lineup, Lenovo looks to be doubling down on Windows on ARM for everyday thin-and-light notebooks, but it’s sad how the company continues to steer its more experimental and performance-oriented hardware toward Intel instead. We’re glad to see AMD Ryzen AI 400 series getting to power some Legion gaming series for 2026.
Recent leaks from Windows Latest showed that Lenovo’s Legion Pro Rollable gaming laptop, with a horizontally expanding display and an Intel Core Ultra processor, is targeting a radically different segment of the market compared to these Snapdragon models.
Likewise, the ThinkPad lineup for 2026, including devices like the ThinkBook Plus Gen 7 Auto Twist Concept and other Aura Edition flagships, all get Intel Core Ultra Series 3 chips.
In that context, it’s a bit disappointing not to see something like a Yoga Pro 9i-class transition to Snapdragon X2 Elite Xtreme, especially given how important premium performance is for Lenovo’s flagships.
That being said, Qualcomm’s X2 chips were only announced late last year, and OEM product cycles lag behind chip releases, so there’s room for announcements later in 2026.
For now, Lenovo’s Snapdragon X2 devices for CES seem focused on practical, mainstream notebooks with good battery life, rather than cutting-edge performance. We’ll continue tracking any further Snapdragon laptop leaks as they surface.
The post Exclusive: Lenovo has Snapdragon X2 Elite (X2-E88-100) and X2 Plus PCs up its sleeve for CES 2026 appeared first on Windows Latest
Beta 27 is a landmark release. With 13 new features, 16 bug fixes, and foundational refactoring for SSR and AOT compilation, this update touches nearly every corner of Aurelia 2. Whether you’re managing complex state, building virtualized lists, or waiting for server-side rendering support, there’s something substantial here for you.
Fred ( @fkleuver ) has been laying the groundwork for server-side rendering and ahead-of-time compilation. Beta 27 includes several internal refactors that pave the way for these features: AST nodes converted to interfaces for easier serialization ( #2309 ), numeric instruction discriminants for smaller payloads ( #2329 ), and a simplified template compiler ( #2310 ).
Sharding is the technique of splitting a large dataset horizontally across multiple independent databases—called shards. Every shard contains the same schema but holds only a subset of the data. This approach allows an application to scale out nearly indefinitely because storage, compute load, and network demand are distributed across multiple database nodes rather than centralized in one.
Azure SQL Database is an excellent fit for sharding due to its ability to rapidly provision databases, near-zero administration, built‑in resilience, and compatibility with modern client‑side sharding libraries such as the Azure Elastic Scale APIs.
When an application’s dataset becomes too large for a single database—either for storage or throughput—sharding makes it possible to scale horizontally. Each new shard adds additional compute and storage capacity.
Since each shard holds a smaller portion of the overall data, queries run faster due to reduced dataset size per shard. Applications can direct queries to the correct shard based on the shard key, bypassing unnecessary scanning.
Through proper shard key selection, load is distributed evenly. Hash‑based or lookup-based strategies prevent one database from receiving a disproportionate amount of traffic.
Sharding makes it easy to locate data geographically close to users—essential for global applications that require compliance with data residency regulations or low-latency access.
A failure in one shard does not bring down the entire application. Each shard operates independently, improving system resilience and uptime.
Instead of scaling up to high‑end hardware, you scale out using the cloud’s consumption model—pay only for the shards you need.
Common Sharding Strategies in Azure SQL
Data is distributed using a hash of a shard key (e.g., customer ID), ensuring even spread.
✔️ Great for load balancing
❌ Harder to rebalance data later
Data partitions are defined by ordered ranges—for example, user IDs 1–10000 go to Shard 1, 10001–20000 to Shard 2.
✔️ Useful for time-series and range queries
❌ Risk of hotspots
An external shard map stores which shard holds which data key.
✔️ Supports flexible movement of data
✔️ Foundation of Azure Elastic Scale
Azure provides tooling known as Elastic Database Tools (Elastic Scale)—a client library that simplifies shard management, shard maps, and routing queries to the correct shard. This ensures that your application doesn’t need custom routing logic for every query.
This stores metadata mapping shard keys → shard databases.
-- Example: create shard map database CREATE DATABASE ShardMapManagerDB;Each shard is a separate Azure SQL DB instance:
Each shard contains identical schema.
A common choice is CustomerID.
You can use your application’s routing layer or Azure’s Elastic Scale APIs:
// C# example from Microsoft Elastic Scale documentation int shardKey = customer.Id; using (SqlConnection conn = await shardMap.OpenConnectionForKeyAsync(shardKey, ConnectionString)) { SqlCommand cmd = conn.CreateCommand(); cmd.CommandText = @"INSERT INTO Customers (CustomerId, Name) VALUES (@id, Name)"; cmd.Parameters.AddWithValue("@id", customer.Id); cmd.Parameters.AddWithValue("@name", customer.Name); await cmd.ExecuteNonQueryAsync(); }Elastic Scale supports multi‑shard queries. The library automatically:
This is helpful for dashboards, reporting, and analytics.
Monitor shard sizes to prevent imbalances.
Avoid cross-shard transactions; design your model so most queries use a single shard.
Use Elastic Scale split/merge tools when rebalancing becomes necessary.
Use Azure Functions or background jobs to orchestrate shard maintenance.
When Should You Use Sharding?
Sharding is recommended when:
If vertical scaling alone can’t meet performance needs, sharding becomes a strategic necessity rather than an optimization.
Conclusion
Azure SQL Database sharding is a powerful, cloud‑native strategy that unlocks near‑infinite scalability, high availability, and improved performance for large-scale applications. With the help of Azure Elastic Scale tools, implementing sharding becomes far more manageable, enabling developers and architects to focus on application logic rather than complex routing infrastructure.
Whether you’re building a SaaS platform with thousands of tenants or a global consumer app with millions of users, sharding is your gateway to true horizontal scale.