Snowflake (Nasdaq:SNOW) has introduced a new multi-modal data ingestion service — Openflow — designed to help enterprises solve challenges around data integration and engineering in the wake of demand for generative AI and agen

Coolers News Noctua's Next Big Thing: Liquid Cooling and Thermosiphons | Technical Deep-DiveJune 2, 2025Last Updated: 2025-06-02Noctua's Computex 2025 showcase includes engineering and design information on their new Thermosiphon cooler and CPU liquid coolerThe HighlightsNoctua shows off its upcoming AIO liquid coolerThe company also shows off its new NF-A12 G2 fanNoctua also discusses its Antec Flux Pro Noctua Edition PC caseTable of ContentsAutoTOC Grab a GN15 Large Anti-Static Modmat to celebrate our 15th Anniversary and for a high-quality PC building work surface. The Modmat features useful PC building diagrams and is anti-static conductive. Purchases directly fund our work! (or consider a direct donation or a Patreon contribution!)IntroWe visited Noctua’s booth at Computex, where the company showed off its upcoming liquid cooler, which is set to launch in Q1 2026. Once again, we have to give Noctua an award for least RGB LED BS we’ve seen at a trade show as we couldn’t find any in their booth.Editor's note: This was originally published on May 20, 2025 as a video. This content has been adapted to written format for this article and is unchanged from the original publication.CreditsHostSteve BurkeCamera, Video EditingMike GaglioneVitalii MakhnovetsWriting, Web EditingJimmy ThangThe company showed off its AIO liquid cooler prototype, which consisted of 3D printed pieces that are intended to go into the pump block to reduce some of the most annoying aspects of liquid coolers with pumps as opposed to thermosiphons. The fan that goes on top of the pump block is an existing Noctua fan that they’ve reshaped the frame for. And it’s optional to mount on top and it projects the air out towards the memory and VRM components. We also looked at the company’s thermosiphon, which was briefly shown at Computex last year. It is a 2-phase thermosiphon, which means that it does a phase change. This makes it comparable to a heat-pipe in a way. We also got to see a bunch of different types of cold plate designs.We also got another look at the Noctua x Antec Flux Pro case, which we previously covered at Antec’s booth.G2 FansNoctua showed off its 120mm G2 fan, which also appears in the shroud top of the Antec Flux Pro case. A couple things have changed about the fan, which include the RPM offset being a little different.Grab a GN Soldering & Project Mat for a high-quality work surface with extreme heat resistance. These purchases directly fund our operation, including our build-out of the hemi-anechoic chamber for our acoustic testing! (or consider a direct donation or a Patreon contribution!)When we reviewed the NH-D15 G2, the RPM offset between the 2 fans was about 25, but the fans we saw at Computex are about plus or minus 50.  Noctua provided some first-party data and stated that on a 120x49mm water cooler radiator comparing the G2 fan versus the company’s NF-A12x25 fan under a 200W heat-loud, the G2 fan performed roughly 3 degrees cooler, which is really good.    Paired with an air cooler, there was about a 1 degree difference between the 2 fans, which is a lot for an air cooler. Noctua Liquid CoolerFor its liquid cooler, Noctua is working with Asetek, using the company’s Gen 8 V2 platform.  Asetek has been around for a long time and they’re one of the biggest suppliers. In the old days, they worked with Corsair, NZXT, and basically everyone’s stuff.The landscape has diversified a bit. Apaltek has gotten really big as a supplier. For as much s*** we’ve given Asetek over the years, in our experience, they’ve had fewer widespread failures of gunk buildup compared to competing solutions. Noctua MouseWe don’t cover mice, but Noctua also showed off a mouse with a small fan built into it. Noctua's Jakob Dellinger Interview Visit our Patreon page to contribute a few dollars toward this website's operation (or consider a direct donation or buying something from our GN Store!) Additionally, when you purchase through links to retailers on our site, we may earn a small affiliate commission.We wrapped up our Noctua coverage by interviewing Noctua’s Jakob Dellinger. Make sure to watch our Computex video where we do a deeper dive into the company’s upcoming liquid cooler, how a thermosiphon works, and more.

Build EngineerSharkmobMalmö Sweden 211 22 SE5 minutes agoApplyWe are looking for a Build Engineer to make sure we can deliver a world-class game on a world-class build and release pipeline.Working as part of our Engineering team, a multidisciplinary group spanning all things technology, you will play a pivotal role in enabling our teams to quickly iterate on features and content – a cornerstone in shaping a world class gaming experience. You will be supported by passionate technologists who thrive on engineering excellence and pushing the boundaries of what is possible with new technologies and innovative solutions. Together, you will make it quicker and easier to make our game better, and in the end, you’ll contribute to a better experience for gamers across the world.ResponsibilitiesWorking closely with project lead engineers to design and maintain appropriate pipelines for build (CI/CD), release and automated testing.Ensuring that the build, packaging and publishing process is as frictionless and stable as possible for all our teams.Developing your engineering skills.Selecting the appropriate tools for the job, whether that’s creating custom tooling and solutions, extending existing Unreal Engine 5 functionality, or using an off-the-shelf utility.Collaborating effectively within a AAA game development team – being service-minded, organized, and a great team player.RequirementsProven track record as a Build/Release Engineer or similar and strong understanding of Continuous Integration.Several years of programming experience (preferably C# or Python).Strong knowledge of a source control system (e.g., Perforce, Git).Several years of experience with CI/CD frameworks such as Jenkins.Passionate about improving build pipelines and reducing developer friction.An effective communicator who loves to work both independently and in collaboration with others.Bonus pointsGames industry experience.Experience using Unreal Engine.Interest in or experience with solutions for monitoring, like Datadog.Experience with configuration management systems such as Ansible.Who we areSharkmob was founded in 2017 and is headquartered in Malmö, Sweden. We are currently working on Exoborne – a Sharkmob original game. We have previously released Bloodhunt – a battle royale shooter set in the Vampire: The Masquerade universe. We develop games for PC and console, using Unreal 5 to power our vision and ambition.At Sharkmob, we are committed to building an inclusive team that represents diverse backgrounds, perspectives, and skillsets – because we believe that helps us create great games. We welcome all candidates who are aligned with our core values of shared ownership, great games, and, last but not least – having fun! We hope you want to join us on our adventure and become a part of our crew. You can find more great perks of being a crew member. If you want to know more about Sharkmob and our projects, visit our homepage.Create Your Profile — Game companies can contact you with their relevant job openings. Apply

Following the breakout success of ‘Your Friends and Neighbors’, which stars Jon Hamm and wrapped its first season last week, Apple has extended its deal with showrunner Jonathan Tropper, Deadline reports. Three-time Apple signee Apple TV+ first partnered with Tropper back in 2019, when he served as executive producer and showrunner for See, one of the platform’s launch titles. Since then he’s quietly become one of the most prolific creators on Apple TV+, with two active series and two high-profile films currently in the pipeline. Under the terms of this latest multi-year extension, he’ll continue developing and producing original content for Apple through his production company, Tropper Ink. Here’s Tropper: “Working with the entire team at Apple continues to be the single most creatively fulfilling collaboration of my career, and I’m looking forward to bringing Lucky and other new projects to the platform, while making more seasons of Your Friends & Neighbors” Breakout success According to Nielsen sampling data, Your Friends and Neighbors is the most-watched new Apple drama series of the year, based on first-month viewership across U.S. households. It’s also on track to break into the Nielsen Streaming Top 10 for the first time, a rare feat for a newer Apple TV+ original. Notably, Apple had already seen the breakout coming: the show was renewed for a second season back in November, months before it even premiered. Season 2 is currently in production. Up next Coming up next from Tropper: Lucky, a limited series starring Anya Taylor-Joy (The Gorge, Furiosa: A Mad Max Saga) and based on Marissa Stapley’s bestselling novel, is expected to debut later this year. On the film side, Tropper is writing and producing The Corsair Code, a sci-fi mystery adventure starring Chris Hemsworth (Thor: Ragnarok), and Matchbox, an action-comedy based on the iconic toy brand, featuring John Cena (Peacemaker), Jessica Biel (The Illusionist), and Sam Richardson (Veep). Outside of Apple, Tropper is also writing an upcoming Star Wars film for director Shawn Levy. Not bad. Apple TV+ is available for $9.99 per month and features hit TV shows and movies like Ted Lasso, Severance, The Studio, The Morning Show, Shrinking and Silo. Add 9to5Mac to your Google News feed.  FTC: We use income earning auto affiliate links. More.You’re reading 9to5Mac — experts who break news about Apple and its surrounding ecosystem, day after day. Be sure to check out our homepage for all the latest news, and follow 9to5Mac on Twitter, Facebook, and LinkedIn to stay in the loop. Don’t know where to start? Check out our exclusive stories, reviews, how-tos, and subscribe to our YouTube channel

Editor’s note: This blog, originally published on October 28, 2024, has been updated. Financial losses from worldwide credit card transaction fraud are projected to reach more than $403 billion over the next decade. The new NVIDIA AI Blueprint for financial fraud detection can help combat this burgeoning epidemic — using accelerated data processing and advanced algorithms to improve AI’s ability to detect and prevent credit card transaction fraud. Launched this week at the Money20/20 financial services conference, the blueprint provides a reference example for financial institutions to identify subtle patterns and anomalies in transaction data based on user behavior to improve accuracy and reduce false positives compared with traditional methods. It shows developers how to build a financial fraud detection workflow by providing reference code, deployment tools and a reference architecture. Companies can streamline the migration of their fraud detection workflows from traditional compute to accelerated compute using the NVIDIA AI Enterprise software platform and NVIDIA accelerated computing. The NVIDIA AI Blueprint is available for customers to run on Amazon Web Services, with availability coming soon on Dell Technologies and Hewlett Packard Enterprise. Customers can also use the blueprint through service offerings from NVIDIA partners including Cloudera, EXL, Infosys and SHI International. Businesses embracing comprehensive machine learning (ML) tools and strategies can observe up to an estimated 40% improvement in fraud detection accuracy, boosting their ability to identify and stop fraudsters faster and mitigate harm. As such, leading financial organizations like American Express and Capital One have been using AI to build proprietary solutions that mitigate fraud and enhance customer protection. The new AI Blueprint accelerates model training and inference, and demonstrates how these components can be wrapped into a single, easy-to-use software offering, powered by NVIDIA AI. Currently optimized for credit card transaction fraud, the blueprint could be adapted for use cases such as new account fraud, account takeover and money laundering. Using Accelerated Computing and Graph Neural Networks for Fraud Detection Traditional data science pipelines lack the compute acceleration to handle the massive data volumes required for effective fraud detection. ML models like XGBoost are effective for detecting anomalies in individual transactions but fall short when fraud involves complex networks of linked accounts and devices. Helping address these gaps, NVIDIA RAPIDS — part of the NVIDIA CUDA-X collection of microservices, libraries, tools and technologies — enables payment companies to speed up data processing and transform raw data into powerful features at scale. These companies can fuel their AI models and integrate them with graph neural networks (GNNs) to uncover hidden, large-scale fraud patterns by analyzing relationships across different transactions, users and devices. The use of gradient-boosted decision trees — a type of ML algorithm — tapping into libraries such as XGBoost, has long been the standard for fraud detection. The new AI Blueprint for financial fraud detection enhances the XGBoost ML model with NVIDIA CUDA-X Data Science libraries including GNNs to generate embeddings that can be used as additional features to help reduce false positives. The GNN embeddings are fed into XGBoost to create and train a model that can then be orchestrated. In addition, NVIDIA Dynamo-Triton, formerly NVIDIA Triton Inference Server, boosts real-time inferencing while optimizing AI model throughput, latency and utilization. NVIDIA CUDA-X Data Science and Dynamo-Triton are included with NVIDIA AI Enterprise. Leading Financial Services Organizations Adopt AI During a time when many large North American financial institutions are reporting online or mobile fraud losses continue to increase, AI is helping to combat this trend. American Express, which began using AI to fight fraud in 2010, leverages fraud detection algorithms to monitor all customer transactions globally in real time, generating fraud decisions in just milliseconds. Using a combination of advanced algorithms, one of which tapped into the NVIDIA AI platform, American Express enhanced model accuracy, advancing the company’s ability to better fight fraud. European digital bank bunq uses generative AI and large language models to help detect fraud and money laundering. Its AI-powered transaction-monitoring system achieved nearly 100x faster model training speeds with NVIDIA accelerated computing. BNY announced in March 2024 that it became the first major bank to deploy an NVIDIA DGX SuperPOD with DGX H100 systems, which will help build solutions that support fraud detection and other use cases. And now, systems integrators, software vendors and cloud service providers can integrate the new NVIDIA blueprint for fraud detection to boost their financial services applications and help keep customers’ money, identities and digital accounts safe. Explore the NVIDIA AI Blueprint for financial fraud detection and read this NVIDIA Technical Blog on supercharging fraud detection with GNNs. Learn more about AI for fraud detection by visiting the AI Summit at Money20/20, running this week in Amsterdam. See notice regarding software product information.

Earlier this year, Apple launched the iPhone 16e. While in many ways it was an iPhone SE successor, the naming scheme changes things up a bit compared to the iPhone SE. Now that it’s part of the mainline iPhone lineup, many have wondered – will this be an annual refresh? Today, we’ll be recapping the rumors. iPhone 17e: Annual refresh? According to leaker Instant Digital on Weibo, Apple is already preparing trial production of an iPhone 17e, suggesting that it’s almost definitely on the way: The setup of the 17e production line is being planned. This answers the question: There will be a 17e next year, and now it is almost in the trial production stage. It’s unclear what would change in an iPhone 17e. Dynamic Island would certainly be a welcome upgrade. It’ll also likely adopt the A19 chipset found in the upcoming iPhone 17 models. It might also debut the C2 modem, though that’s just a personal guess. One way or another, it seems quite plausible that the new ‘e’ iPhone will be an annual refresh, unlike the iPhone SE that came before it. Reputable analyst Ming-Chi Kuo also anticipates an iPhone 17e launching in the first half of 2026. Beyond iPhone 17e Earlier this month, The Information reported that Apple will be transitioning to a split iPhone launch strategy, with iPhone 18 Air, Pro, Pro Max, and the foldable launching in fall 2026, and iPhone 18 and 18e launching in spring 2027. While this detail in itself doesn’t confirm an annual refresh for the ‘e’ iPhone, it does at least indicate that new entry-level iPhones will launch more regularly than iPhone SE models, which launched in 2016, 2020, and 2022, leaving an average refresh cycle of 3 years. Wrap up Overall, it’s too early to say for sure. However, I’d lean towards the answer being yes: Apple will probably launch an iPhone 17e in early 2026. I do personally hope that Apple diversifies their offerings a little bit. With the entry-level iPhone being $599 now, I think it could potentially be really cool if we saw an iPhone mini renaissance. It could potentially start at $499, making it a much more appealing purchase than the iPhone 12 mini and iPhone 13 mini at $699. That’s more of a pipe dream, though. What do you think about iPhone 16e and the possibility of there being more regular ‘e’ iPhone launches? Let us know in the comments. My favorite Apple accessory recommendations: Follow Michael: X/Twitter, Bluesky, Instagram Add 9to5Mac to your Google News feed.  FTC: We use income earning auto affiliate links. More.You’re reading 9to5Mac — experts who break news about Apple and its surrounding ecosystem, day after day. Be sure to check out our homepage for all the latest news, and follow 9to5Mac on Twitter, Facebook, and LinkedIn to stay in the loop. Don’t know where to start? Check out our exclusive stories, reviews, how-tos, and subscribe to our YouTube channel

In a chilling sign of how far law enforcement surveillance has encroached on personal liberties, that a sheriff’s office in Texas searched data from more than 83,000 automated license plate reader (ALPR) cameras to track down a woman suspected of self-managing an abortion. The officer searched 6,809 different camera networks maintained by surveillance tech company Flock Safety, including states where abortion access is protected by law, such as Washington and Illinois. The search record listed the reason plainly: “had an abortion, search for female.” Screenshot of data After the U.S. Supreme Court’s 2022 Dobbs v. Jackson Women’s Health Organization decision overturned Roe v. Wade, states were given sweeping authority to ban and even criminalize abortion. In Texas—where the officer who conducted this search is based—abortion is now almost entirely banned. But in Washington and Illinois, where many of the searched Flock cameras are located, abortion remains legal and protected as a fundamental right up to fetal viability. The post-Dobbs legal landscape has also opened the door for law enforcement to exploit virtually any form of data—license plates, phone records, geolocation data—to pursue individuals across state lines. has documented more than 1,800 agencies have deployed ALPRs, but at least 4,000 agencies are able to run searches through some agencies in Flock's network. Many agencies share the data freely with other agencies across the country, with little oversight, restriction, or even standards for accessing data.  While this particular data point explicitly mentioned an abortion, scores of others in the audit logs released through public records requests simply list "investigation" as the reason for the plate search, with no indication of the alleged offense. That means other searches targeting someone for abortion, or another protected right in that jurisdiction, could be effectively invisible. This case underscores our growing concern: that the mass surveillance infrastructure—originally sold as a tool to find stolen cars or missing persons—is now being used to target people seeking reproductive healthcare. This unchecked, warrant-less access that allows law enforcement to surveil across state lines blurs the line between “protection” and persecution. From Missing Cars to Monitoring Bodies EFF has long warned about the dangers of ALPRs, which scan license plates, log time and location data, and build a detailed picture of people's movements. Companies like Flock Safety and Motorola Solutions offer law enforcement agencies access to nationwide databases of these readers, and in some cases, allow them to stake out locations like abortion clinics, or create “hot lists” of license plates to track in real time. Flock's technology also allows officers to search for a vehicle based on attributes like color, make and model, even without a plate number. The threat is compounded by how investigations often begin. A report published by If/When/How on the criminalization of self-managed abortion found that about a quarter of adult cases (26%) were reported to law enforcement by acquaintances entrusted with information, such as “friends, parents, or intimate partners” and another 18% through “other” means. This means that with ALPR tech, a tip from anyone can instantly escalate into a nationwide manhunt. And as Kate Bertash of the Digital Defense Fund explained to 404 Media, anti-abortion activists have long been documenting the plates of patients and providers who visit reproductive health facilities—data that can now be easily cross-referenced with ALPR databases. The 404 Media report proves that this isn’t a hypothetical concern. In 2023, a months-long EFF investigation involving hundreds of public records requests uncovered that many California police departments were sharing records containing detailed driving profiles of local residents with out-of-state agencies, despite state laws explicitly prohibiting this. This means that even in so-called “safe” states, your data might end up helping law enforcement in Texas or Idaho prosecute you—or your doctor.  That’s why we demanded that 75 California police departments stop sharing ALPR data with anti-abortion states, an effort that has largely been successful. Surveillance and Reproductive Freedom Cannot Coexist We’ve said it before, and we’ll say it again: Lawmakers who support reproductive rights must recognize that abortion access and mass surveillance are incompatible.  The systems built to track stolen cars and issue parking tickets have become tools to enforce the most personal and politically charged laws in the country. What began as a local concern over privacy has escalated into a national civil liberties crisis. Yesterday’s license plate readers have morphed into today’s reproductive dragnet. Now, it’s time for decisive action. Our leaders must roll back the dangerous surveillance systems they've enabled. We must enact strong, enforceable state laws to limit data sharing, ensure proper oversight, and dismantle these surveillance pipelines before they become the new normal–or even just eliminate the systems altogether.

Large Reasoning Models (LRMs), trained from LLMs using reinforcement learning (RL), demonstrated great performance in complex reasoning tasks, including mathematics, STEM, and coding. However, existing LRMs face challenges in completing various puzzle tasks that require purely logical reasoning skills, which are easy and obvious for humans. Current methods targeting puzzles focus only on designing benchmarks for evaluation, lacking the training methods and resources for modern LLMs to tackle this challenge. Current puzzle datasets lack diversity and scalability, covering limited puzzle types with little control over generation or difficulty. Moreover, due to the success of the “LLM+RLVR” paradigm, it has become crucial to obtain large, diverse, and challenging sets of verifiable puzzle prompts for training agents. Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a key method for improving models’ reasoning capabilities, removing the need for reward models by directly assigning rewards based on objectively verifiable answers. Puzzles are particularly well-suited for RLVR. However, most prior RLVR research has overlooked the puzzles’ potential for delivering effective reward signals. In puzzle reasoning of LLMs, existing benchmarks evaluate different types of reasoning, including abstract, deductive, and compositional reasoning. Few benchmarks support scalable generation and difficulty control but lack puzzle diversity. Moreover, the improvement of LLMs’ puzzle-solving abilities mainly falls into two categories: tool integration and RLVR. Researchers from ByteDance Seed, Fudan University, Tsinghua University, Nanjing University, and Shanghai Jiao Tong University have proposed Enigmata, the first comprehensive toolkit designed for improving LLMs with puzzle reasoning skills. It contains 36 tasks across seven categories, each featuring a generator that produces unlimited examples with controllable difficulty and a rule-based verifier for automatic evaluation. The researchers further developed Enigmata-Eval as a rigorous benchmark and created optimized multi-task RLVR strategies. Puzzle data from Enigmata enhances SoTA performance on advanced math and STEM reasoning tasks like AIME, BeyondAIME, and GPQA when trained on larger models like Seed1.5-Thinking. This shows the generalization benefits of Enigmata. The Enigmata-Data comprises 36 puzzle tasks organized into 7 primary categories, including Crypto, Arithmetic, Logic, Grid, Graph, Search, and Sequential Puzzle, making it the only dataset having multiple task categories with scalability, automatic verification, and public availability. The data construction follows a three-phase pipeline: Tasks Collection and Design, Auto-Generator and Verifier Development, and Sliding Difficulty Control. Moreover, the Enigmata-Eval is developed by systematically sampling from the broader dataset, aiming to extract 50 instances per difficulty level for each task. The final evaluation set contains 4,758 puzzle instances rather than the theoretical maximum of 5,400, due to inherent constraints, where some tasks generate fewer instances per difficulty level. The proposed model outperforms most public models on Enigmata-Eval with 32B parameters, showing the effectiveness of the dataset and training recipe. The model stands out on the challenging ARC-AGI benchmark, surpassing strong reasoning models such as Gemini 2.5 Pro, o3-mini, and o1. The Qwen2.5-32B-Enigmata shows outstanding performance in structured reasoning categories, outperforming in Crypto, Arithmetic, and Logic tasks, suggesting effective development of rule-based reasoning capabilities. The model shows competitive performance in search tasks that require strategic exploration and planning capabilities. Moreover, Crypto and Arithmetic tasks tend to provide the highest accuracy, while spatial and sequential tasks remain more difficult. In this paper, researchers introduced Enigmata, a comprehensive suite for equipping LLMs with advanced puzzle reasoning that integrates seamlessly with RL using verifiable rule-based rewards. The trained Enigmata-Model shows superior performance and robust generalization skills through RLVR training. Experiments reveal that when applied to larger models such as Seed1.5-Thinking (20B/200B parameters), synthetic puzzle data brings additional benefits in other domains, including mathematics and STEM reasoning over state-of-the-art models. Enigmata provides a solid foundation for the research community to advance reasoning model development, offering a unified framework that effectively bridges logical puzzle-solving with broader reasoning capabilities in LLMs. Check out the Paper, GitHub Page and Project Page. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. Sajjad AnsariSajjad Ansari is a final year undergraduate from IIT Kharagpur. As a Tech enthusiast, he delves into the practical applications of AI with a focus on understanding the impact of AI technologies and their real-world implications. He aims to articulate complex AI concepts in a clear and accessible manner.Sajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Multimodal Foundation Models Fall Short on Physical Reasoning: PHYX Benchmark Highlights Key Limitations in Visual and Symbolic IntegrationSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large Language ModelsSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/Can LLMs Really Judge with Reasoning? Microsoft and Tsinghua Researchers Introduce Reward Reasoning Models to Dynamically Scale Test-Time Compute for Better AlignmentSajjad Ansarihttps://www.marktechpost.com/author/sajjadansari/NVIDIA AI Introduces AceReason-Nemotron for Advancing Math and Code Reasoning through Reinforcement Learning

After the Nintendo Switch, the Steam Deck might be the most impressive gaming handheld of the last decade. It brings Steam games—most of which were initially designed to run on Windows PCs—to a remarkably designed portable device. The only problem? Battery life can be rough on some games. If you're struggling to stay charged, here are some tips to help you out.When it comes to your Steam Deck's battery life, you're going to notice a lot of variability, even from one game to another. AAA games that rely on high-end GPUs will typically guzzle power. On laptops or desktops, that's usually not as much of a concern, but on the Steam Deck—when those games run at all—they can burn through the battery quickly.So, while we have plenty of tips to get the best battery life, it's important to keep in mind some games will simply burn through your power no matter what. Fortunately, SteamOS is already pretty power efficient (at least compared to other operating systems), and there are several handy tools to help.First, learn what, exactly, is draining your batteryThere are a few common culprits for battery drain in games, and it's helpful to understand them before diving into solutions. This is because what works for one game with minimal performance impact, could make another game unplayable. With that in mind, here are a few key things that drain your battery:Your hardware settings. The display on your Steam Deck is always a pretty big battery drain, and turning down the brightness can help. Wireless radios like wifi or Bluetooth are always sipping power, even if you're not using them, so you can sometimes turn these off if you don't need them.Your refresh rate and FPS. Your Steam Deck has to update the screen dozens of times every second, and for some games it might be way more than necessary. 60 to 90 frames per second might be necessary for a fast-paced game like Doom Eternal, but it's overkill for Stardew Valley.Your processor's TDP. Thermal Design Power (or TDP) is a complicated metric, but it serves as a shorthand for how much power your processor is using. On the Steam Deck, you can limit this directly, which is a blunt way of saving battery, but it can help sometimes.The most useful tool to help you diagnose your biggest battery drains is the Performance Overlay. Press the three-dot menu button while in a game and navigate to the Performance section and you'll see an option to enable this overlay. There are several levels of detail, ranging from a simple frame rate counter, to real-time power consumption and temperature readouts. The Performance tab is also where you'll find several useful features we'll discuss (under Advanced View), so it's good to make friends with this tab.Dive into your game's display settingsWhile the Steam Deck has a lot of useful features for managing battery life, you're still going to find some of your best options in your game's settings. Most games have presets to lower graphics settings with one quick toggle—like switching from Ultra to Medium—and some have even more advanced settings.This is particularly important to keep in mind if you play Steam games on multiple devices. Some games will try to sync settings between them, which can lead to your game rendering at a higher resolution or frame rate than the Steam Deck is even capable of displaying.In general, here are a few settings you should take a look at:Resolution: The Steam Deck has a 1280x800 resolution, so unless you're using an external monitor, there's no reason to set your game to a higher resolution. Most games won't let you go higher anyway, but it's worth it to double check. You can also go lower for some games, if you don't need as much detail.Frame rate: Many games offer the ability to cap how many frames the game generates, even if your display is capable of showing more. This can have a substantial impact on your battery life, especially for games that need to perform a lot of complex calculations (like graphics-heavy shooters) for every new frame.Graphical presets: If your game has a preset slider, try starting on the lowest preset and working your way up to see how the game performs. The Performance Overlay can be a huge help here, to see how much power your system is drawing on different presets. If your eye can't tell the difference, but your battery can, drop the settings.You can play around to find the right balance for you, and it will vary greatly by game. In some games, you might want more graphical detail, but fewer frames per second, while others would benefit from the exact opposite. Try a few options to see what works best.Adjust your refresh rate and FPS in tandem with the Frame Limit sliderAs mentioned above, the number of times your game updates the screen per second can be a huge factor in battery drain. This is affected by both the screen's refresh rate (how many times the display physically updates the pixel you see) and your game's frames per second (or FPS, the number of times the GPU generates a new frame per second). To complicate matters further, your refresh rate can have an effect on your input latency, meaning it's important to strike a delicate balance.To simplify this, the Steam Deck has a slider called Frame Limit that can impose a limit on how many frames your game displays and strike that balance for you. It automatically adjusts your refresh rate to be evenly divisible by the FPS limit, avoiding unnecessary (and asynchronous) refreshes, while still maintaining the highest refresh rate possible to reduce input lag.It's a workaround that's placed somewhat late in the pipeline, and it's sometimes better to adjust your game's settings directly, but it simplifies a complicated process. If you'd rather adjust your display's refresh rate directly, you can toggle Disable Frame Limit and adjust the refresh rate from 45Hz to 90Hz directly. Keep in mind, though, you might still need to adjust some game settings to avoid generating frames your display will just throw out.Put a cap on your Thermal Design Power (TDP), if you mustTweaking your game's graphics settings can adjust your power consumption with scalpel-like precision. By comparison, the TDP limit is a hammer. But even hammers have their uses. By design, the TDP slider on the Steam Deck will put a hard limit on how much power the CPU/GPU can draw from the battery. You can't get much more direct battery savings than that.The problem is that games typically, you know, need power. And even games with really fine-grain settings don't generally ask the user to decide how much electricity to draw. For some, especially graphics-heavy games, putting a hard limit on TDP can cause massive performance drops or even game crashes.Less demanding games, though, can benefit from playing with this setting. A useful rule of thumb is that if the game you're playing is already struggling to maintain a consistent frame rate, try something else before touching TDP. But for games like Stardew Valley, where you're never really concerned with frame rate, you can experiment with lowering the TDP limit to 10W or even 5W to see how well the game performs.Of course, setting a TDP limit only matters if it's below what your game was using in the first place. This is another area where the performance overlay comes in handy. You can get a sense of how much power your system is drawing during your games, and use that to gauge how low you want your TDP limit to be.Don't forget per-game battery setting profilesOn top of all these settings, you can also set game-specific profiles to change your battery settings automatically based on the title you're playing. I can't recommend this feature enough, especially if you tend to play games with very different power demands. Few things are more annoying than forgetting you set a low TDP limit for a simple game, then launching a more demanding game that strains against that limit.To use this, it's one simple toggle on the Performance tab. Enable "Use per-game profile" and the Steam Deck will automatically create a profile for every game you use. You can disable this toggle to switch back to the default, if you ever decide you prefer one consistent profile.Keep in mind the profiles only account for the Steam Deck's settings itself, not any game-specific settings. But it's still a handy tool. It can be overwhelming to keep track of all the different buttons and knobs you can fiddle with to get extra battery life, but the Steam Deck manages to balance a ton of customization options with the simplicity of straight-forward, user-friendly tools so you can game longer.