qualcomm
30 articles about qualcomm in AI news
Qualcomm Taps TSMC for 3nm/2nm Dragonfly C100 CPUs, AI300 Accelerators
TSMC to fab Qualcomm's Dragonfly C100 and AI300 chips on 3nm/2nm nodes. The move challenges NVIDIA in data center AI, but timelines and performance remain undisclosed.
Qualcomm in Talks to Acquire Modular for $4B, Landing Lattner
Qualcomm nears $4B acquisition of Modular, Chris Lattner's AI infra startup. Deal targets inference software for edge and data center AI chips.
Qualcomm Launches AI Data Center Program With Hyperscaler Customer
Qualcomm launched an AI data center program with a major hyperscaler customer, targeting inference workloads. Financial terms and partner identity undisclosed.
Qualcomm Ships Hyperscaler Custom Silicon by December 2026
Qualcomm is developing custom silicon for an unnamed hyperscaler, with shipments expected December 2026, marking its most concrete data-center comeback move.
Qualcomm Builds Dedicated CPU for Agentic AI, Enters Hyperscale Silicon Market
Qualcomm CEO revealed dedicated CPU for agentic AI, custom silicon deal with hyperscaler shipping Dec 2026, and agentic smartphones. Pivot challenges GPU-centric AI infrastructure consensus.
GPT-5.4 Spends 3 Hours Optimizing Embedding Model for Qualcomm NPU
An X user observed GPT-5.4 working for three hours to optimize an embedding model specifically for the Qualcomm NPU. This suggests a practical application of advanced AI for hardware-specific model tuning.
ASUS Zenbook A16 Launches with Qualcomm X2 Elite Extreme AI Chip
ASUS announced the Zenbook A16 laptop featuring the Qualcomm Snapdragon X2 Elite Extreme processor. This marks a significant push for premium Windows on Arm laptops optimized for local AI tasks.
Snap & Qualcomm Partner on Snapdragon XR for Future Spectacles
Snap has entered a strategic agreement with Qualcomm to power future generations of its Spectacles AR glasses with Snapdragon XR platforms. This hardware partnership is critical for Snap's long-term bet on AI-driven augmented reality.
Qualcomm X2 Elite Matches Apple M5 in Efficiency Test
In a mixed-use laptop test simulating office work, Qualcomm's Snapdragon X2 Elite system-on-chip matched the power efficiency of Apple's latest M5 chip. This marks a significant milestone for Windows on Arm in its competition with Apple Silicon.
Qualcomm NPU Shows 6-8x OCR Speed-Up Over CPU in Mobile Workload
A benchmark shows Qualcomm's dedicated NPU processing OCR workloads 6-8 times faster than the device's CPU. This highlights the growing efficiency gap for AI tasks on mobile silicon.
Qualcomm's Arduino Ventuno Q: A Powerhouse Single-Board Computer for the Next Wave of Physical AI
Qualcomm and Arduino have launched the Ventuno Q, a high-performance single-board computer designed specifically for robotics and physical AI applications. Powered by the Dragonwing IQ8 processor with a dedicated NPU and paired with a low-latency microcontroller, it enables complex, offline AI tasks like object tracking and gesture recognition for systems that interact with the real world.
Nvidia Unveils New Windows SoC, Targeting AI PCs
Nvidia announced a Windows SoC for AI PCs, per @mweinbach. Chip targets on-device inference, competing with Qualcomm and Intel.
MCP's Enterprise Auth Standard Goes Stable: Okta Provisions 2,000 Ramp Employees in One Policy
Anthropic and Okta launched Enterprise-Managed Authorization (EMA) for MCP on June 18, 2026, provisioning Ramp's 2,000 employees with zero per-user OAuth steps. Seven MCP servers — Asana, Atlassian, Canva, Figma, Granola, Linear, Supabase — support the standard at launch; VS Code and Azure AD users
llada.cpp Cuts LLaDA-8B Latency 17-42x on Mobile NPU
llada.cpp, the first NPU-aware dLLM inference framework, cuts LLaDA-8B latency 17-42x on smartphones, enabling real-time on-device generation.
SemiAnalysis Calls Jensen ComputeX Keynote 'F Tier' Over No AI DC News
SemiAnalysis rated Jensen Huang's ComputeX keynote 'F Tier' for no AI datacenter news and revealed a delayed NVIDIA ARM chip with broken video output.
Nvidia N1X Arm Laptop Chip Nears Reveal at Computex
Nvidia, Microsoft, Arm tease N1X Arm laptop chip debut at Computex. Nvidia enters Windows-on-Arm without owning the architecture it tried to buy.
WiFi routers can identify individuals with near-perfect accuracy, KIT shows
KIT researchers show WiFi routers can identify individuals with near-perfect accuracy via beamforming feedback, tested on 197 subjects.
Snapdragon X2 Elite Beats Intel Arrow Lake for AI Coding Agents
Snapdragon X2 Elite beat Intel Arrow Lake for Windows AI coding agents. CPU bottleneck, not inference speed, limited performance per @mweinbach.
Horizon Launches Full-Stack AI Platform for Autonomous Driving
Horizon Robotics launched a trio of products—a new chip, an open-source OS, and a smart driving system—aiming to push cars closer to becoming autonomous AI agents. The platform integrates hardware and software for enhanced perception and decision-making.
John Ternus Takes Over Apple AI Leadership as Era Ends
Apple's AI leadership transitions to John Ternus, marking a new era following Steve Jobs' vision and Tim Cook's operational success. This comes as Apple accelerates its generative AI push with Apple Intelligence.
Prefill-as-a-Service Paper Claims to Decouple LLM Inference Bottleneck
A research paper proposes a 'Prefill-as-a-Service' architecture to separate the heavy prefill computation from the lighter decoding phase in LLM inference. This could enable new deployment models where resource-constrained devices handle only the decoding step.
MLX-VLM Adds Continuous Batching, OpenAI API, and Vision Cache for Apple Silicon
The next release of MLX-VLM will introduce continuous batching, an OpenAI-compatible API, and vision feature caching for multimodal models running locally on Apple Silicon. These optimizations promise up to 228x speedups on cache hits for models like Gemma4.
Meta Expands Broadcom Partnership for Next-Gen AI Infrastructure
Meta is expanding its partnership with semiconductor giant Broadcom to co-develop its next-generation AI infrastructure. This move signals a continued, long-term commitment to custom silicon for AI training and inference.
Microsoft Raises Surface PC Prices Amid AI Copilot+ PC Push
Microsoft has implemented substantial price increases for its entire Surface PC portfolio. This move likely reflects the higher component and development costs associated with integrating next-generation AI capabilities into the Copilot+ PC platform.
MLX Enables Local Grounded Reasoning for Satellite, Security, Robotics AI
Apple's MLX framework is enabling 'local grounded reasoning' for AI applications in satellite imagery, security systems, and robotics, moving complex tasks from the cloud to on-device processing.
Google's Gemma 4B Model Runs on Nintendo Switch at 1.5 Tokens/Second
A developer successfully ran Google's 4-billion parameter Gemma language model on a Nintendo Switch, achieving 1.5 tokens/second inference. This demonstrates the increasing feasibility of running small LLMs on consumer-grade edge hardware.
Dell XPS 14 with Core Ultra X7 Outlasts Snapdragon X Elite in Battery Test
A new battery test shows the Dell XPS 14 with Intel Core Ultra X7 lasts 11.7 hours, beating the 11.3 hours of Microsoft's ARM-based Surface Laptop 15 with Snapdragon X Elite. This is a significant win for Intel's latest chip in the critical mobile performance metric.
ModelBest Hits $1B+ Valuation for On-Device Foundation Models
ModelBest, a Chinese developer of on-device AI foundation models, raised several hundred million RMB, reaching a valuation exceeding $1 billion. The funding will accelerate its push to deploy efficient models directly on smartphones and IoT devices.
Developer Ranks NPU Model Compilation Ease: Apple 1st, AMD Last
Developer @mweinbach ranked the ease of using AI coding agents to compile ML models for NPUs. Apple's ecosystem was rated easiest, while AMD's tooling was ranked most difficult.
X Post Reveals Audible Quality Differences in GPU vs. NPU AI Inference
A developer demonstrated audible quality differences in AI text-to-speech output when run on GPU, CPU, and NPU hardware, highlighting a key efficiency vs. fidelity trade-off for on-device AI.