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Edge Ai

All articles tagged with #edge ai

Micron’s Blowout Quarter Signals Edge AI Upside for Major Chip Makers
technology15 days ago

Micron’s Blowout Quarter Signals Edge AI Upside for Major Chip Makers

Micron posted a blowout quarter with revenue up about 346% and EPS up more than 10x, alongside gross margins near 85% and operating margins around 80%. The memory shortage is expected to persist through 2028, lifting memory prices and benefiting peers across the chip field. Management highlighted edge AI as a major growth driver, projecting increased memory demand in PCs and smartphones as AI expands beyond data centers. If edge AI accelerates, Intel, AMD, Arm, and Qualcomm could see a boost as AI-enabled devices become more prevalent in smartphones, PCs, and other gear.

via The Motley Fool|
#ai-demand#chip-stocks#edge-ai
On Semiconductor tumbles after Synaptics deal to push into physical AI
business15 days ago

On Semiconductor tumbles after Synaptics deal to push into physical AI

ON Semiconductor’s stock dropped about 24% after announcing its largest acquisition ever: an all-stock deal to buy Synaptics to expand into edge and physical AI with Synaptics’ Astra platform. The move would broaden its addressable market by roughly $30 billion to about $243 billion by 2030 and establish a new AI compute platform for edge devices and autonomous systems. Management says there is no product overlap and the core business remains strong; the deal is expected to close in mid-2027 with around $200 million in annual synergies within 18 months of close. The company also noted its data center business is performing well.

via CNBC|
#business#edge-ai#onsemi
Gemma 4 triples on-device AI speed with speculative token drafting
technology2 months ago

Gemma 4 triples on-device AI speed with speculative token drafting

Google's Gemma 4 open models gain a 3x speed boost on local hardware through Multi-Token Prediction (MTP) drafters that guess future tokens and verify them in parallel with the main model, using shared memory and sparse decoding to accelerate generation without sacrificing quality. The approach works across devices from Pixel phones to Apple M4, with varying gains by hardware and under Apache 2.0 licensing.

via Ars Technica|
#edge-ai#gemma-4#local-ai
Intel Elevates Leaders to Accelerate Client Computing and AI Edge
technology2 months ago

Intel Elevates Leaders to Accelerate Client Computing and AI Edge

Intel announced two leadership appointments to strengthen its core client computing business and advance its AI agenda: Alex Katouzian will become EVP and GM of the Client Computing & Physical AI Group, aligning client computing with edge AI, robotics and autonomous machines; Pushkar Ranade is appointed CTO, directing technology strategy across quantum computing, neuromorphic computing, photonics and novel materials. Both report to CEO Lip-Bu Tan, underscoring Intel’s push to accelerate AI-enabled computing across devices and future technologies.

via intc.com|
#client-computing#edge-ai#intel
Gemma 4: Google's 2.3B AI Rivals 70B Giants on Minimal RAM
technology2 months ago

Gemma 4: Google's 2.3B AI Rivals 70B Giants on Minimal RAM

Google’s Gemma 4 proves you don’t need a giant parameter count to punch above your weight: with 2.3 billion parameters it rivals 70B-scale models in performance while running offline on under 1.5 GB of RAM. The model is designed for edge use, features a 128K context window, and supports text, vision, and audio inputs in a multimodal architecture under an Apache 2.0 open-source license. It also handles 140 languages and emphasizes privacy and offline operation, making it suitable for resource-constrained devices. Notable caveats include coding task limitations and incomplete iOS bindings, with ongoing community-driven improvements anticipated.

via Geeky Gadgets|
#ai#edge-ai#google
Qualcomm's Wear Elite Chip Aims to Make Wearables AI Hubs
technology4 months ago

Qualcomm's Wear Elite Chip Aims to Make Wearables AI Hubs

Qualcomm unveiled the Snapdragon Wear Elite at MWC 2026, a wearable-focused chip with a Hexagon NPU for on-device edge AI and ultra-low‑power Micro-Power Wi‑Fi, delivering ~5x CPU performance and ~7x faster app launches, plus about 30% longer daily battery life and 50% charge in 10 minutes; Qualcomm envisions wearables—smartwatches, glasses, rings, and AI pins—becoming independent AI hubs in a distributed ecosystem, extending computing beyond smartphones.

via ZDNET|
#edge-ai#qualcomm#smartwatches
"AI PCs: The Future of Next-Gen Markets and Business - CES 2024 Insights"
technology2 years ago

"AI PCs: The Future of Next-Gen Markets and Business - CES 2024 Insights"

TrendForce predicts a significant expansion in edge AI applications in 2024, with AI servers paving the way for AI PCs and other terminal devices. The global AI server market is projected to exceed 1.6 million units, growing at a rate of 40%, while AI PCs are expected to meet Microsoft’s benchmark of 40 TOPS in computational power. Qualcomm, AMD, and Intel are racing to meet these requirements, with LPDDR expected to represent a significant portion of PC DRAM demand due to the need for faster data transmission in AI PCs.

via Press Center | TrendForce - Market research, price trend of DRAM, NAND Flash, LEDs, TFT-LCD and green energy, PV|
#ai#ai-pc#edge-ai
"AI PCs: The Future of Next-Gen Markets and Business in 2024"
technology2 years ago

"AI PCs: The Future of Next-Gen Markets and Business in 2024"

TrendForce predicts a significant expansion in edge AI applications in 2024, with AI servers and AI PCs playing a crucial role. The global AI server market is projected to exceed 1.6 million units, growing at a rate of 40%, while AI PCs are expected to meet Microsoft’s benchmark of 40 TOPS in computational power. Qualcomm, Intel, and AMD are set to intensify competition in the AI PC market, with LPDDR expected to represent approximately 30–35% of PC DRAM demand this year.

via Press Center | TrendForce - Market research, price trend of DRAM, NAND Flash, LEDs, TFT-LCD and green energy, PV|
#ai#ai-pc#edge-ai