Ahead of Mobile World Congress 2025, Qualcomm Technologies, Inc. and IBM (NYSE: IBM) announced an expanded collaboration to drive enterprise-grade generative artificial intelligence (AI) solutions across edge and cloud devices designed to enable increased immediacy, privacy, reliability, personalization, and reduced cost and energy consumption. Through this collaboration, the companies plan to integrate watsonx.governance for generative AI solutions powered by Qualcomm Technologies' platforms, and enable support for IBM's Granite models through the Qualcomm AI Inference Suite and Qualcomm AI Hub.

"At Qualcomm Technologies, we are excited to join forces with IBM to deliver cutting-edge, enterprise-grade generative AI solutions for devices across the edge and cloud," said Durga Malladi, senior vice president and general manager, technology planning and edge solutions, Qualcomm Technologies, Inc. "This collaboration enables businesses to deploy AI solutions that are not only fast and personalized but also come with robust governance, monitoring, and decision-making capabilities, with the ability to enhance the overall reliability of AI from edge to cloud."

Generative AI is redefining computing, unlocking new ways to build, train and optimize AI models on PCs and workstations. From content creation and large and small language models to software development, AI-powered PCs and workstations are transforming workflows and enhancing productivity. At GTC 2025, running March 17-21 in the San Jose Convention Center, experts from across the AI ecosystem will share insights on deploying AI locally, optimizing models and harnessing cutting-edge hardware and software to enhance AI workloads—highlighting key advancements in RTX AI PCs and workstations.

Develop and Deploy on RTX
RTX GPUs are built with specialized AI hardware called Tensor Cores that provide the compute performance needed to run the latest and most demanding AI models. These high-performance GPUs can help build digital humans, chatbots, AI-generated podcasts and more. With more than 100 million GeForce RTX and NVIDIA RTX GPUs users, developers have a large audience to target when new AI apps and features are deployed. In the session "Build Digital Humans, Chatbots, and AI-Generated Podcasts for RTX PCs and Workstations," Annamalai Chockalingam, senior product manager at NVIDIA, will showcase the end-to-end suite of tools developers can use to streamline development and deploy incredibly fast AI-enabled applications.

The NVIDIA GeForce RTX 5070 Ti graphics cards—built on the NVIDIA Blackwell architecture—are out now, ready to power generative AI content creation and accelerate creative performance. GeForce RTX 5070 Ti GPUs feature fifth-generation Tensor Cores with support for FP4, doubling performance and reducing VRAM requirements to run generative AI models.

In addition, the GPU comes equipped with two ninth-generation encoders and a sixth-generation decoder that add support for the 4:2:2 pro-grade color format and increase encoding quality for HEVC and AV1. This combo accelerates video editing workflows, reducing export times by 8x compared with single encoder GPUs without 4:2:2 support like the GeForce RTX 3090. The GeForce RTX 5070 Ti GPU also includes 16G B of fast GDDR7 memory and 896 GB/sec of total memory bandwidth—a 78% increase over the GeForce RTX 4070 Ti GPU.

In nearly every corner of our lives, the buzz about AI is impossible to ignore. It's destined to revolutionize how we work, learn, and play. For those of us immersed in the world of gaming—whether as players or creators—the question isn't just how AI will change the game, but how it will ignite new possibilities.

At Xbox, we're all about using AI to make things better (and more fun!) for players and game creators. We want to bring more games to more people around the world and always stay true to the creative vision and artistry of game developers. We believe generative AI can boost this creativity and open up new possibilities. We're excited to announce a generative AI breakthrough, published today in the journal Nature and announced by Microsoft Research, that shows this potential to open up new possibilities—including the opportunity to make older games accessible to future generations of players across new devices and in new ways.

The telecom industry's efforts to drive efficiencies with AI are beginning to show fruit. An increasing focus on deploying AI into radio access networks (RANs) was among the key findings of NVIDIA's third annual "State of AI in Telecommunications" survey, as more than a third of respondents indicated they're investing or planning to invest in AI-RAN.

The survey polled more than 450 telecommunications professionals worldwide, revealing continued momentum for AI adoption—including growth in generative AI use cases—and how the technology is helping optimize customer experiences and increase employee productivity. Of the telecommunications professionals surveyed, almost all stated that their company is actively deploying or assessing AI projects.

IBM and Lenovo today announced at LEAP 2025 a planned expansion of their strategic technology partnership designed to help scale the impact of generative AI for clients in the Kingdom of Saudi Arabia. IDC expects annual worldwide spending on AI-centric systems to surpass $300 billion by 2026, with many leading organizations in Saudi Arabia exploring and investing in generative AI use cases as they prepare for the emergence of an "AI everywhere" world.

Building upon their 20-year partnership, IBM and Lenovo will collaborate to deliver AI solutions comprised of technology from the IBM watsonx portfolio of AI products, including the Saudi Data and Artificial Intelligence Authority (SDAIA) open-source Arabic Large Language Model (ALLaM), and Lenovo infrastructure. These solutions are expected to help government and business clients in the Kingdom to accelerate their use of AI to improve public services and make data-driven decisions in areas such as fraud detection, public safety, customer service, code modernization, and IT operations.

Kioxia Corporation, a world leader in memory solutions, today announced the open-source release of its new All-in-Storage ANNS with Product Quantization (AiSAQ) technology. A novel "approximate nearest neighbor" search (ANNS) algorithm optimized for SSDs, KIOXIA AiSAQ software delivers scalable performance for retrieval-augmented generation (RAG) without placing index data in DRAM - and instead searching directly on SSDs.

Generative AI systems demand significant compute, memory and storage resources. While they have the potential to drive transformative breakthroughs across various industries, their deployment often comes with high costs. RAG is a critical phase of AI that refines large language models (LLMs) with data specific to the company or application.

ADLINK Technology Inc., a global leader in edge computing, unveiled its new "DLAP Supreme Series", an edge generative AI platform. By integrating Phison's innovative aiDAPTIV+ AI solution, this series overcomes memory limitations in edge generative AI applications, significantly enhancing AI computing capabilities on edge devices. Without increasing high hardware costs, the DLAP Supreme series achieves notable AI performance improvements, helping enterprises reduce the cost barriers of AI deployment and accelerating the adoption of generative AI across various industries, especially in edge computing.

Lower AI Computing Costs and Significantly Improved Performance
As generative AI continues to penetrate various industries, many edge devices encounter performance bottlenecks due to insufficient DRAM capacity when executing large language models, affecting model operations and even causing issues such as inadequate token length. The DLAP Supreme series, leveraging aiDAPTIV+ technology, effectively overcomes these limitations and significantly enhances computing performance. Additionally, it supports edge devices in conducting generative language model training, enabling them with AI model training capabilities and improving their autonomous learning and adaptability.

MAINGEAR, the leader in premium-quality, high-performance gaming PCs, today announced its lineup of desktops and laptops equipped with NVIDIA GeForce RTX 50 Series GPUs. Powered by the NVIDIA Blackwell architecture, GeForce RTX 50 Series GPUs bring groundbreaking capabilities to gamers and creators. Equipped with a massive level of AI horsepower, the GeForce RTX 50 Series enables new experiences and next-level graphics fidelity. Users can multiply performance with NVIDIA DLSS 4, generate images at unprecedented speed, and unleash creativity with the NVIDIA Studio platform.

Plus, NVIDIA NIM microservices - state-of-the-art AI models that let enthusiasts and developers build AI assistants, agents, and workflows - are available with peak performance on NIM-ready systems.

Over the past year, generative AI has transformed the way people live, work and play, enhancing everything from writing and content creation to gaming, learning and productivity. PC enthusiasts and developers are leading the charge in pushing the boundaries of this groundbreaking technology. Countless times, industry-defining technological breakthroughs have been invented in one place—a garage. This week marks the start of the RTX AI Garage series, which will offer routine content for developers and enthusiasts looking to learn more about NVIDIA NIM microservices and AI Blueprints, and how to build AI agents, creative workflow, digital human, productivity apps and more on AI PCs. Welcome to the RTX AI Garage.

This first installment spotlights announcements made earlier this week at CES, including new AI foundation models available on NVIDIA RTX AI PCs that take digital humans, content creation, productivity and development to the next level. These models—offered as NVIDIA NIM microservices—are powered by new GeForce RTX 50 Series GPUs. Built on the NVIDIA Blackwell architecture, RTX 50 Series GPUs deliver up to 3,352 trillion AI operations per second of performance, 32 GB of VRAM and feature FP4 compute, doubling AI inference performance and enabling generative AI to run locally with a smaller memory footprint.

CyberLink Corp., a leading provider of digital creative editing software and artificial intelligence (AI) solutions, is showcasing the cutting-edge AI capabilities and NPU (Neural Processing Unit) optimizations of their Generative AI digital marketing design software, Promeo, and award-winning video and photo editing software, PowerDirector and PhotoDirector, this week during CES 2025 in Las Vegas.

Cognizant of the expanding adoption from PC makers of the latest Intel LunarLake platform and capabilities for AI, CyberLink's close partnership with Intel is ensuring PC makers releasing LunarLake enabled hardware, from laptops to mini-PCs, will be able to take advantage of CyberLink's creative editing software's AI functionalities.

NVIDIA is taking the wraps off a new compact generative AI supercomputer, offering increased performance at a lower price with a software upgrade. The new NVIDIA Jetson Orin Nano Super Developer Kit, which fits in the palm of a hand, provides everyone from commercial AI developers to hobbyists and students, gains in generative AI capabilities and performance. And the price is now $249, down from $499.

Available today, it delivers as much as a 1.7x leap in generative AI inference performance, a 70% increase in performance to 67 INT8 TOPS, and a 50% increase in memory bandwidth to 102 GB/s compared with its predecessor. Whether creating LLM chatbots based on retrieval-augmented generation, building a visual AI agent, or deploying AI-based robots, the Jetson Orin Nano Super is an ideal solution to fetch.

For better or worse, generative AI has been a disruptive force in many industries, although its reception in video games has been lukewarm at best, with attempts at integrating AI-powered NPCs into games failing to impress most gamers. Now, Google's DeepMind AI has a new model called Genie 2, which can supposedly be used to generate "action-controllable, playable, 3D environments for training and evaluating embodied agents." All the environments generated by Genie 2 can supposedly be interacted with, whether by a human piloting a character with a mouse and keyboard or an AI-controlled NPC, although it's unclear what the behind-the-scenes code and optimizations look like, both aspects of which will be key to any real-world applications of the tech. Google says worlds created by Genie 2 can simulate consequences of actions in addition to the world itself, all in real-time. This means that when a player interacts with a world generated by Genie 2, the AI will respond with what its model suggests is the result of that action (like stepping on a leaf resulting in the destruction of said leaf). This extends to things like lighting, reflections, and physics, with Google showing off some impressively accurate water, volumetric effects, and accurate gravity.

In a demo video, Google showed a number of different AI-generated worlds, each with their own interactive characters, from a spaceship interior being explored by an astronaut to a robot taking a stroll in a futuristic cyberpunk urban environment, and even a sailboat sailing over water and a cowboy riding through some grassy plains on horseback. What's perhaps most interesting about Genie 2's generated environments is that Genie has apparently given each world a different perspective and camera control scheme. Some of the examples shown are first-person, while others are third-person with the camera either locked to the character or free-floating around the character. Of course, being generative AI, there is some weirdness, and Google clearly chose its demo clips carefully to avoid graphical anomalies from taking center stage. What's more, at least a few clips seem to very strongly resemble worlds from popular video games, Assassin's Creed, Red Dead Redemption, Sony's Horizon franchise, and what appears to be a mix of various sci-fi games, including Warframe, Destiny, Mass Effect, and Subnautica. This isn't surprising, since the worlds Google used to showcase the AI are all generated with an image and text prompt as inputs, and, given what Google says it used as training data used, it seems likely that gaming clips from those games made it into the AI model's training data.

Aetina, a subsidiary of the Innodisk Group and an expert in edge AI solutions, is pleased to announce its debut at Supercomputing (SC24) in Atlanta, Georgia, showcasing the innovative SuperEdge NVIDIA MGX short-depth edge AI server, AEX-2UA1. By integrating an enterprise-class on-premises large language model (LLM) with the advanced retrieval-augmented generation (RAG) technique, Aetina NVIDIA MGX short-depth server demonstrates exceptional enterprise edge AI performance, setting a new benchmark in Edge AI innovation. The server is powered by the latest Intel Xeon 6 processor and dual high-end double-width NVIDIA GPUs, delivering ultimate AI computing power in a compact 2U form factor, accelerating Gen AI at the edge.

The SuperEdge NVIDIA MGX server expands Aetina's product portfolio from specialized edge devices to comprehensive AI server solutions, propelling a key milestone in Innodisk Group's AI roadmap, from sensors and storage to AI software, computing platforms, and now AI edge servers.

ASUS today announced its participation in the upcoming IBC 2024, showcasing the theme A Glimpse into Tomorrow's Tech.Visitors to the ASUS booth (Hall 2 Booth #A29 RAI Amsterdam) will be able to enjoy the ProArt Masters' Talks featuring industry experts from renowned companies Adobe, NVIDIA and Scan Computers, as well as professional filmmaker Bas Goossens, professional senior trainer Leon Barnard, and co-founder and CEO of Redshark Media, Matt Gregory.

As well, through the full run of IBC from September 13-16, 2024, ASUS will highlight a range of cutting-edge technology ideal for professionals, including ProArt Display PA32KCX, the world's first 8K Mini LED professional monitor; ProArt Display OLED PA32UCDM, which brings 4K QD-OLED to creators; ProArt Display 5K PA27JCV, featuring a stunning 5120 x 2880 resolution for unparalleled clarity; and ProArt Display PA32UCE and PA27UCGE, the latest 4K monitors with built-in calibration. The latest ASUS AI-powered laptops and workstations will also be on show.

As enterprises race to adopt generative AI and bring new services to market, the demands on data center infrastructure have never been greater. Training large language models is one challenge, but delivering LLM-powered real-time services is another. In the latest round of MLPerf industry benchmarks, Inference v4.1, NVIDIA platforms delivered leading performance across all data center tests. The first-ever submission of the upcoming NVIDIA Blackwell platform revealed up to 4x more performance than the NVIDIA H100 Tensor Core GPU on MLPerf's biggest LLM workload, Llama 2 70B, thanks to its use of a second-generation Transformer Engine and FP4 Tensor Cores.

The NVIDIA H200 Tensor Core GPU delivered outstanding results on every benchmark in the data center category - including the latest addition to the benchmark, the Mixtral 8x7B mixture of experts (MoE) LLM, which features a total of 46.7 billion parameters, with 12.9 billion parameters active per token. MoE models have gained popularity as a way to bring more versatility to LLM deployments, as they're capable of answering a wide variety of questions and performing more diverse tasks in a single deployment. They're also more efficient since they only activate a few experts per inference - meaning they deliver results much faster than dense models of a similar size.

Today, Cerebras Systems, the pioneer in high performance AI compute, announced Cerebras Inference, the fastest AI inference solution in the world. Delivering 1,800 tokens per second for Llama3.1 8B and 450 tokens per second for Llama3.1 70B, Cerebras Inference is 20 times faster than NVIDIA GPU-based solutions in hyperscale clouds. Starting at just 10c per million tokens, Cerebras Inference is priced at a fraction of GPU solutions, providing 100x higher price-performance for AI workloads.

Unlike alternative approaches that compromise accuracy for performance, Cerebras offers the fastest performance while maintaining state of the art accuracy by staying in the 16-bit domain for the entire inference run. Cerebras Inference is priced at a fraction of GPU-based competitors, with pay-as-you-go pricing of 10 cents per million tokens for Llama 3.1 8B and 60 cents per million tokens for Llama 3.1 70B.

NVIDIA today announced major advancements to Universal Scene Description, or OpenUSD, that will expand adoption of the universal 3D data interchange framework to robotics, industrial design and engineering, and accelerate developers' abilities to build highly accurate virtual worlds for the next evolution of AI.

Through new OpenUSD-based generative AI and NVIDIA-accelerated development frameworks built on the NVIDIA Omniverse platform, more industries can now develop applications for visualizing industrial design and engineering projects, and for simulating environments to build the next wave of physical AI and robots.

Intel on Monday rolled out the first public release of AI Playground, an AI productivity suite the company showcased in its 2024 Computex booth. AI Playground is a well-packaged suite of generative AI applications and a chatbot, which are designed to leverage Intel Arc discrete GPUs with at least 8 GB of video memory. All utilities in the suite are designed under the OpenVINO framework, and take advantage of the XMX cores of Arc A-series discrete GPUs. Currently, only three GPU models from the lineup come with 8 GB or higher amounts of video memory, the A770, A750, and A580; and their mobile variants. The company is working on a variant of the suite that can work on Intel Core Ultra-H series processors, where it uses a combination of the NPU and the iGPU for acceleration. AI Playground is open source. Intel put in effort to make the suite as client-friendly as possible, by giving it a packaged installer that looks after installation of all software dependencies.

Intel AI Playground tools include an image generative AI that can turn prompts into standard or HD images, which is based on Stable Diffusion backed by DreamShaper 8 and Juggernaut XL models. It also supports Phi3, LCM LoRA, and LCM LoRA SDXL. All of these have been optimized for acceleration on Arc "Alchemist" GPUs. The utility also includes an AI image enhancement utility that can be used for upscaling along with detail reconstruction, styling, inpainting and outpainting, and certain kinds of image manipulation. The third most important tool is the text AI chatbot with all popular LLMs.

DOWNLOAD: Intel AI Playground

The full-stack NVIDIA accelerated computing platform has once again demonstrated exceptional performance in the latest MLPerf Training v4.0 benchmarks. NVIDIA more than tripled the performance on the large language model (LLM) benchmark, based on GPT-3 175B, compared to the record-setting NVIDIA submission made last year. Using an AI supercomputer featuring 11,616 NVIDIA H100 Tensor Core GPUs connected with NVIDIA Quantum-2 InfiniBand networking, NVIDIA achieved this remarkable feat through larger scale - more than triple that of the 3,584 H100 GPU submission a year ago - and extensive full-stack engineering.

Thanks to the scalability of the NVIDIA AI platform, Eos can now train massive AI models like GPT-3 175B even faster, and this great AI performance translates into significant business opportunities. For example, in NVIDIA's recent earnings call, we described how LLM service providers can turn a single dollar invested into seven dollars in just four years running the Llama 3 70B model on NVIDIA HGX H200 servers. This return assumes an LLM service provider serving Llama 3 70B at $0.60/M tokens, with an HGX H200 server throughput of 24,000 tokens/second.

Fueling the next wave of AI innovation, Western Digital today introduced a six-stage AI Data Cycle framework that defines the optimal storage mix for AI workloads at scale. This framework will help customers plan and develop advanced storage infrastructures to maximize their AI investments, improve efficiency, and reduce the total cost of ownership (TCO) of their AI workflows. AI models operate in a continuous loop of data consumption and generation - processing text, images, audio and video among other data types while simultaneously producing new unique data. As AI technologies become more advanced, data storage systems must deliver the capacity and performance to support the computational loads and speeds required for large, sophisticated models while managing immense volumes of data. Western Digital has strategically aligned its Flash and HDD product and technology roadmaps to the storage requirements of each critical stage of the cycle, and today introduced a new industry-leading, high-performance PCIe Gen 5 SSD to support AI training and inference; a high-capacity 64 TB SSD for fast AI data lakes; and the world's highest capacity ePMR, UltraSMR 32 TB HDD for cost-effective storage at scale.

"There's no doubt that Generative AI is the next transformational technology, and storage is a critical enabler. The implications for storage are expected to be significant as the role of storage, and access to data, influences the speed, efficiency and accuracy of AI Models, especially as larger and higher-quality data sets become more prevalent," said Ed Burns, Research Director at IDC. "As a leader in Flash and HDD, Western Digital has an opportunity to benefit in this growing AI landscape with its strong market position and broad portfolio, which meets a variety of needs within the different AI data cycle stages."

ZOTAC Technology, a global manufacturer focused on innovative and high-performance hardware solutions, will return to COMPUTEX 2024 to showcase its biggest push yet into brand-new product categories. At this year's exhibition, ZOTAC will unveil its first attempt at creating a unique Handheld Gaming PC with advanced controls and features, allowing gamers to enjoy their favorite games on the go like never before with maximum competitive advantage.

Also in ZOTAC's extensive lineup is a full-fledged selection of AI-focused computational hardware, including a new workstation-grade External GPU Box series for hassle-free GPU compute and AI acceleration, ZBOX mini PCs powered by Intel Core Ultra CPUs equipped with integrated neural processing units (NPU), as well as other enterprise-grade solutions, such as GPU Servers and Arm-based NVIDIA Jetson systems, offering users a broad selection of AI accelerators in applications big and small.

ZOTAC Technology, a global manufacturer focused on innovative and high-performance hardware solutions, will return to COMPUTEX 2024 to showcase its biggest push yet into brand-new product categories. At this year's exhibition, ZOTAC will unveil its first attempt at creating a unique Handheld Gaming PC with advanced controls and features, allowing gamers to enjoy their favorite games on the go like never before with maximum competitive advantage.

Also in ZOTAC's extensive lineup is a full-fledged selection of AI-focused computational hardware, including a new workstation-grade External GPU Box series for hassle-free GPU compute and AI acceleration, ZBOX mini PCs powered by Intel Core Ultra CPUs equipped with integrated neural processing units (NPU), as well as other enterprise-grade solutions, such as GPU Servers and Arm-based NVIDIA Jetson systems, offering users a broad selection of AI accelerators in applications big and small.

Amid an AI revolution sweeping through trillion-dollar industries worldwide, NVIDIA founder and CEO Jensen Huang will deliver a keynote address ahead of COMPUTEX 2024, in Taipei, outlining what's next for the AI ecosystem. Slated for June 2 at the National Taiwan University Sports Center, the address kicks off before the COMPUTEX trade show scheduled to run from June 3-6 at the Taipei Nangang Exhibition Center. The keynote will be livestreamed at 7 p.m. Taiwan time (4 a.m. PT) on Sunday, June 2, with a replay available at NVIDIA.com.

With over 1,500 exhibitors from 26 countries and an expected crowd of 50,000 attendees, COMPUTEX is one of the world's premier technology events. It has long showcased the vibrant technology ecosystem anchored by Taiwan and has become a launching pad for the cutting-edge systems required to scale AI globally. As a leader in AI, NVIDIA continues to nurture and expand the AI ecosystem. Last year, Huang's keynote and appearances in partner press conferences exemplified NVIDIA's role in helping advance partners across the technology industry.

Personal computers (PCs) have been used as the major productivity device for several decades. But now we are entering a new era of PCs based on artificial intelligence (AI), thanks to the boom witnessed in generative AI (GenAI). We believe the inventory correction and demand weakness in the global PC market have already normalized, with the impacts from COVID-19 largely being factored in. All this has created a comparatively healthy backdrop for reshaping the PC industry. Counterpoint estimates that almost half a billion AI laptop PCs will be sold during the 2023-2027 period, with AI PCs reviving the replacement demand.

Counterpoint separates GenAI laptop PCs into three categories - AI basic laptop, AI-advanced laptop and AI-capable laptop - based on different levels of computational performance, corresponding use cases and the efficiency of computational performance. We believe AI basic laptops, which are already in the market, can perform basic AI tasks but not completely GenAI tasks and, starting this year, will be supplanted by more AI-advanced and AI-capable models with enough TOPS (tera operations per second) powered by NPU (neural processing unit) or GPU (graphics processing unit) to perform the advanced GenAI tasks really well.