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NASDAQ:AMD News 5 August 2025 - 6 October 2025

IBM Stock Soars on Quantum Breakthrough and AI Revival – Key Updates (Sept 25, 2025)

IBM’s AI Revolution Sends Stock Soaring as Big Blue Takes on Tech Giants

Stock Performance: Riding High into October IBM’s stock has been on a steady upswing and enters October 2025 trading near its highest levels in years. The stock closed at $288.37 on Friday, Oct 3markets.financialcontent.com, essentially flat to slightly up over the past few days. It’s hovering just shy of its 52-week peak (around $296) after a late-September jump. In fact, IBM briefly hit an intraday high near $296 in late September when news of a quantum computing breakthrough with HSBC sparked a rally of over 5% in a single dayts2.tech. As of the first week of October, shares are within ~3%
AMD’s AI Mega-Deal Sparks Stock Surge – Inside the OpenAI Partnership, New Chips & Showdown with Rivals

AMD’s AI Mega-Deal Sparks Stock Surge – Inside the OpenAI Partnership, New Chips & Showdown with Rivals

Stock Performance & Market Valuation Advanced Micro Devices (AMD) has been one of 2025’s semiconductor standouts. The stock trades around $164–$165 per share as of October 6, reflecting a dramatic rise this yearreuters.com. At a ~$267 billion market capitalizationreuters.com, AMD is now the world’s third-most valuable chip maker – still a fraction of Nvidia’s size, but a testament to how far it has come. Shares have climbed roughly 30% year-to-datets2.tech, handily beating the broader market and even the Philly chip index, amid investor excitement over artificial intelligence. In fact, AMD’s stock already blew past Wall Street’s average price target (~$152) earlier
GPU Wars 2025: NVIDIA vs AMD vs Intel – The Ultimate Graphics Showdown

Nvidia’s AI Throne Under Siege? The 2030 Battle Plan From Broadcom, AMD—and a Surprise Challenger

Key facts (as of Sep 27, 2025) The in-depth report 1) The setup: AI compute demand keeps compounding Nvidia still commands the AI-accelerator market, but the demand curve (frontier model training, inference scale-out, and AI-enabled enterprise software) is so steep that second-source and custom solutions are economically inevitable. Even Nvidia is leaning in with customers: the company plans up to $100B in OpenAI, delivering systems beginning in late 2026 to help build ≥10 GW of capacity. Reuters framed it as a tie-up that “intensifies the AI datacenter race.” Reuters On the flip side, analysts note unanswered questions about the structure
Nvidia vs. Intel vs. AMD: Epic AI Chip Stock Showdown 2025 🚀💰

Nvidia vs. Intel vs. AMD: Epic AI Chip Stock Showdown 2025 🚀💰

Semiconductor Stock Performance in 2025 📈 After a turbulent 2024, semiconductor stocks roared back in 2025. Year-to-date, Nvidia and AMD have each gained roughly one-third in value Macrotrends Macrotrends, vastly outperforming the broader market. Intel – which plummeted last year – has surged about 47% in 2025 Macrotrends, leading the pack in percentage terms as it claws its way back from multi-decade lows. These rallies reflect both sector-wide tailwinds (the AI investment boom) and company-specific drivers: Valuations vary widely. Nvidia’s meteoric rise gives it a trailing price-to-earnings around 50× Portfolioslab – high, but arguably justified by 56%+ revenue growth and
AI Chip Boom, Google’s New Tricks, and Hollywood’s Robot Wars – Today’s AI News Roundup

AI Chip Wars: USA vs China vs Taiwan – Inside the Trillion-Dollar Race to 2030

Introduction The race for dominance in AI chips – the specialized processors that power artificial intelligence – has become a core battleground in technology and geopolitics. In 2025, the United States, China, and Taiwan stand as key players, each with a different role: the U.S. is home to the leading chip designers, China is a massive and ambitious consumer and emerging producer, and Taiwan is the manufacturing epicenter. AI chips are not only critical for flashy applications like generative AI (think ChatGPT or image generators) but also for a wave of smart devices and autonomous machines. As a result, nations
AMD’s Secret CPU Launch Shakes Up the Market: Four New Ryzen Chips Take Aim at Intel

AMD’s Secret CPU Launch Shakes Up the Market: Four New Ryzen Chips Take Aim at Intel

The Four New Ryzen CPUs at a Glance AMD’s new CPUs cover a surprisingly wide range of the Ryzen family. Below is a quick rundown of each chip’s key specifications and what makes it unique: In summary, AMD’s four new chips include two Zen 5 models aimed at delivering high performance per core at lower cost (by stripping out the iGPU), one unusual Zen 4 chip that repurposes a partially defective die for entry-level use, and one last gasp of Zen 3 for the ultra-budget segment. This mix shows AMD is leaving no stone unturned in its product lineup –
17 September 2025
AI Stock Frenzy: Oracle’s Cloud Coup, Record Highs, and Bold $300B Deals Fuel Market Rally

AI Stock Frenzy: Oracle’s Cloud Coup, Record Highs, and Bold $300B Deals Fuel Market Rally

Key Facts Market Overview – Record Highs on AI Euphoria Wall Street’s major indexes roared to new heights in mid-week trading as AI-driven optimism swept the market. On September 10, the S&P 500 climbed 0.3% to a record 6,532.04, and the Nasdaq Composite edged to its third straight record high close reuters.com. Investors were energized by a potent mix of cooling inflation data and blockbuster news from the tech sector – especially Oracle’s stunning rally on AI cloud prospects reuters.com. “The fundamentals remain very strong in the equity markets… but valuations are extended at this point and serve as some
AI Chip Boom, Google’s New Tricks, and Hollywood’s Robot Wars – Today’s AI News Roundup

AI Chip Arms Race: Nvidia’s Dominance, Broadcom’s Bold Move, and the Future of Silicon Supremacy

Key Facts 1. Overview – What Are AI Chips and Why Do They Matter? Artificial intelligence chips (“AI chips”) are specialized microprocessors designed specifically for AI workloads. Unlike general-purpose CPUs, AI chips (such as GPUs, TPUs, FPGAs, and AI-specific ASICs) are architected to perform the massively parallel, math-intensive operations that machine learning models require cset.georgetown.edu cset.georgetown.edu. This means they can crunch matrices, tensors, and neural network calculations far more efficiently than traditional processors. AI chips have become the critical enablers of modern AI breakthroughs. The latest deep learning models – from image recognizers to large language models like ChatGPT – demand staggering computational power. For example, training a
MSI Claw A8: The $1,000 Handheld Gaming PC Shaking Up the Steam Deck Era

MSI Claw A8: The $1,000 Handheld Gaming PC Shaking Up the Steam Deck Era

MSI Claw A8 Overview: Specs and Features MSI’s Claw A8 BZ2EM is the company’s latest and most powerful handheld gaming PC to date. Announced at Computex 2025, it marks MSI’s first venture with an AMD processor in their handheld lineup theverge.com. Key specs include: Release Timeline and Latest Updates (as of Sept 2025) The MSI Claw A8’s rollout has been gradual and somewhat staggered across regions: In summary, as of September 2025 the Claw A8 is available in select Asian and European markets at a premium ~$1,000-equivalent price. A North American debut is still pending. Enthusiasts following the news are
4 September 2025
This Tiny 4.5L PC Has 128GB of RAM – Meet the Framework Desktop, 2025’s Modular Mini-ITX Monster

This Tiny 4.5L PC Has 128GB of RAM – Meet the Framework Desktop, 2025’s Modular Mini-ITX Monster

Key Facts at a Glance Overview of the Framework Desktop (Features, Specs, Build) The Framework Desktop’s front panel is composed of 21 swappable tiles (one removed here), allowing personal customization of color and design. Two front Expansion Card slots (bottom left) let you choose I/O ports (USB-C, USB-A, audio jack, SD reader, etc.) using the same modular card system as Framework’s laptops community.frame.work tomshardware.com. A Small Form Factor Beast: The Framework Desktop is a 4.5 L mini workstation that punches above its weight. At roughly 96.8 × 205.5 × 226.1 mm in size (and ~3.1 kg weight) frame.work frame.work, it’s
30 August 2025
HBM Memory Gold Rush: Why High-Bandwidth Memory Prices Are Soaring in the AI Era

HBM Memory Gold Rush: Why High-Bandwidth Memory Prices Are Soaring in the AI Era

Key Facts HBM Node Transition: From HBM3 to HBM4 High-Bandwidth Memory has evolved rapidly to keep pace with AI needs. HBM3 – introduced around 2022 – brought huge leaps in bandwidth and capacity per stack, and became the workhorse memory for top-tier AI accelerators like NVIDIA’s A100/H100 and Google TPUs. By 2023, attention shifted to HBM3E, an enhanced generation offering even higher performance. In early 2024, SK hynix became the first to mass-produce HBM3E (sometimes dubbed the 5th-generation HBM) trendforce.com, supplying 12-Hi 36GB stacks to NVIDIA and others. This HBM3E delivers ~1.2 TB/s per stack (versus ~0.8–1.0 TB/s for HBM3),
Chiplets & Advanced Packaging Market Report 2025: AI Demand Fuels 2.5D/3D Integration Boom

Chiplets & Advanced Packaging Market Report 2025: AI Demand Fuels 2.5D/3D Integration Boom

Key Facts Introduction: Chiplets and 3D Integration Come of Age Semiconductor design is undergoing a paradigm shift from giant monolithic chips toward chiplet-based and multi-die architectures. In a chiplet approach, a processor is disaggregated into multiple smaller dies (chiplets) that are later integrated in a package, rather than one large die. This strategy improves manufacturing yield and cost – smaller dies are easier to produce without defects – and allows mixing different process nodes and functions in one package astutegroup.com astutegroup.com. As traditional 2D scaling hits physical and economic limits, chiplets offer a practical path to keep improving performance and
Global AI-PC Market Outlook 2025–2030: Rise of the NPU-Enabled Personal Computer

Global AI-PC Market Outlook 2025–2030: Rise of the NPU-Enabled Personal Computer

AI-Powered PC Shipments Surge (2025–2030 Forecast) AI PCs – defined by hardware and software optimized for on-device AI – are on a steep adoption curve. Industry analysts are exceedingly bullish on shipment growth through the latter 2020s: It’s worth noting that these rosy forecasts assume that compelling use cases for on-device AI continue to develop. Some industry experts caution there could be speed bumps (e.g. if users don’t see enough everyday benefit to justify upgrades). But so far, investment in AI features by both software and hardware vendors is only intensifying. Real-time language transcription, personal AI assistants, local generative AI
Photonic AI Accelerators vs. GPUs – The Battle for AI’s Future in Efficiency, Cost, and Scale

Photonic AI Accelerators vs. GPUs – The Battle for AI’s Future in Efficiency, Cost, and Scale

1. Performance per Watt: Photon vs. Electron Efficiency One of the biggest promises of photonic AI accelerators is superior energy efficiency. By using light to perform computations (especially matrix multiplications at the heart of AI models), photonic chips can potentially execute more operations per joule than electronic GPUs: Bottom Line: On raw efficiency, photonic accelerators can theoretically leave GPUs in the dust, performing AI computations with 10× to 1000× less energy. Early evidence (both academic and startup) backs significant gains – e.g. >10× energy reduction for optical matrix math earlybird.com. However, achieving these gains outside the lab will require overcoming
AI Stock Frenzy: Hedge Funds Pile In, Tesla’s Dojo U-Turn & Palantir’s Reality Check

AI Stock Frenzy: Hedge Funds Pile In, Tesla’s Dojo U-Turn & Palantir’s Reality Check

Bridgewater Associates more than doubled its Nvidia stake to 7.23 million shares, a $1.14 billion position, and boosted bets on Alphabet and Microsoft by 84% and 112% respectively in Q2 filings. Tiger Global Management added 4 million Amazon shares, ending June with 10 million Amazon shares worth $2.34 billion, and lifted positions in Alphabet, Nvidia, Microsoft and Meta. ARK Invest ETFs posted record inflows, with 2025 year-to-date flows turning from negative to over $2.6 billion in the black. U.S. authorities approved a deal allowing Nvidia and AMD to resume selling advanced AI processors to China, requiring 15% of China-sale revenues
Next-Gen Laptop Chip Showdown: Intel’s Lunar Lake vs. AMD’s Ryzen AI vs. Qualcomm’s X Elite – Who Wins the AI PC Crown?

Next-Gen Laptop Chip Showdown: Intel’s Lunar Lake vs. AMD’s Ryzen AI vs. Qualcomm’s X Elite – Who Wins the AI PC Crown?

Intel Lunar Lake Core Ultra 200V uses a disaggregated 3 nm TSMC N3B compute tile with 4 Lion Cove P-cores and 4 Skymont E-cores (8 cores total), SMT disabled to save ~15% die area and boost perf/W by ~5%. Intel also boosts single-thread IPC by ~14% versus Redwood Cove and widens caches to 2.5 MB L2 per P-core, while Skymont E-cores gain ~68% IPC over Crestmont. AMD Ryzen AI 9 HX 370 “Strix Point” combines 12 CPU cores (4 Zen 5 and 8 Zen 5c) with base TDP 28 W up to 54 W and includes an on‑die XDNA 2
Next-Gen GPU Showdown: Nvidia RTX 50-Series vs AMD RX 9070 XT vs Intel Arc B580

Next-Gen GPU Showdown: Nvidia RTX 50-Series vs AMD RX 9070 XT vs Intel Arc B580

The GeForce RTX 5090, on the Blackwell architecture, features 92 billion transistors, about 21,760 CUDA cores, 32 GB of GDDR7 on a 512-bit memory bus, and an estimated 450 W TBP. DLSS 4 introduces Multi-Frame Generation that can create up to three interpolated frames per rendered frame, plus Frame Generation and Frame Warp, with Nvidia claiming up to 8x performance and up to 75% latency reduction. The RTX 5090 and 5080 launched in early 2025 and sold out quickly, with reports of 12VHPWR cable melting prompting Nvidia to release an updated 12V-2×6 adapter. Nvidia’s RTX 5080, RTX 5070 Ti, and
Framework Desktop vs Mac Studio vs Intel NUC 13 Extreme. You Won’t Believe Which Tiny PC Wins in 2025

Framework Desktop vs Mac Studio vs Intel NUC 13 Extreme. You Won’t Believe Which Tiny PC Wins in 2025

Framework Desktop (2025) is a 4.5-liter modular PC built around an AMD Ryzen AI Max CPU (8-core/16-thread Ryzen AI Max 385 or 16-core/32-thread Ryzen AI Max+ 395) with boost clocks around 5.0–5.1 GHz and a sustained 120W TDP. The Framework uses the Radeon 8060S iGPU with 40 RDNA3 compute units, up to 2.9 GHz, and up to 96 GB of shared memory for AI and compute tasks. RAM and storage: Framework soldered LPDDR5x-8000 RAM up to 128 GB (with up to 96 GB usable as VRAM) and two M.2 NVMe slots up to 8 TB each (total up to 16
RISC-V vs ARM vs x86: The 2025 Silicon Architecture Showdown

RISC-V vs ARM vs x86: The 2025 Silicon Architecture Showdown

In mid-2025, x86 remains the top performer for legacy software and high-end workloads, with 64-core or 96-core Xeon/EPYC-class servers still setting the benchmark. Apple’s M-series SoCs, built on 8–10 core ARM64 designs and led by the M1 (2020) and M2 generations, demonstrate high performance-per-watt that rivals many x86 laptops. RISC-V’s open, modular ISA uses a small base with optional extensions (M, A, F/D, V) and allows custom instructions, with Ventana’s Veyron V2 offering up to 192 cores and RVA23 profiles improving cross-implementation compatibility. RISC-V is royalty-free and open by design, ARM licenses involve upfront fees and per-chip royalties (Qualcomm reportedly
NVIDIA Blackwell B200 vs AMD MI350 vs Google TPU v6e – 2025’s Ultimate AI Accelerator Showdown

NVIDIA Blackwell B200 vs AMD MI350 vs Google TPU v6e – 2025’s Ultimate AI Accelerator Showdown

NVIDIA’s Blackwell B200 features 180 GB of HBM3e memory per GPU with up to 8 TB/s bandwidth, 18 PFLOPS FP4 tensor throughput, 9 PFLOPS FP8, and 4.5 PFLOPS FP16, plus a second-generation Transformer Engine. NVIDIA claims DGX B200 delivers about 3× the training performance and 15× the inference performance of DGX H100 in end-to-end workflows. Google’s TPU v6e, codenamed Trillium, delivers 918 TFLOPS BF16 per chip, 1.836 PFLOPS INT8, 32 GB of HBM per chip, and 1.6 TB/s bandwidth per chip, with a 256-chip pod delivering about 234.9 PFLOPS BF16. AMD Instinct MI350X/MI355X offer 288 GB of HBM3e, up to

Stock Market Today

Coca-Cola stock price ends near $79 — frozen products exit sets up KO earnings week

Coca-Cola stock price ends near $79 — frozen products exit sets up KO earnings week

7 February 2026
Coca-Cola will discontinue its frozen products, including the Minute Maid frozen line, in the U.S. and Canada in Q1 2026. Shares closed Friday up 0.66% at $79.03 ahead of Tuesday’s quarterly results. CEO James Quincey sold 337,824 shares on Feb. 3 for about $26 million under a pre-arranged plan. Options pricing suggests a possible 3% move after earnings.
Cisco stock jumps 3% into earnings week as tech shakeout keeps CSCO in focus

Cisco stock jumps 3% into earnings week as tech shakeout keeps CSCO in focus

7 February 2026
Cisco shares closed up 3% at $84.82 Friday after a volatile week for tech stocks. The company will report quarterly results Feb. 11, with analysts expecting EPS of $1.02 on $15.12 billion revenue. U.S. jobs and inflation data, delayed by the federal shutdown, are also due next week. About 23.9 million Cisco shares traded Friday.
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