April 30, 2026 — South Korean technology giant Samsung Electronics reported record quarterly results on Thursday, with operating profit jumping 750 percent year-on-year, driven by surging demand for high-performance chips used in artificial intelligence data centers.

Record-Breaking Numbers

Samsung’s quarterly operating profit reached 57.2 trillion won ($38.4 billion), far exceeding market expectations. Net profit came in at 47.1 trillion won, beating forecasts in a Bloomberg survey of analysts. Quarterly revenue hit 133.9 trillion won, also an all-time high.

The chip division performed particularly well, with profit soaring to 53.7 trillion won, accounting for the bulk of the unit’s total earnings.

AI Demand Driving Growth

In its earnings report, Samsung said it had “achieved record quarterly revenue and operating profit through AI technology innovations and proactive market response.” The company’s memory division “surpassed its quarterly sales record by addressing high-value-added AI demand despite limited supply availability, with industry-wide memory price increases also a contributing factor.”

Samsung expects “strong memory demand to continue” through the second quarter as the buildout of AI infrastructure proceeds at pace.

South Korean Markets Hit Record High

Buoyed by Samsung’s strong results and those of US technology giants, South Korea’s benchmark Kospi stock index opened at a fresh record high above 6,700 points on Thursday. Samsung’s shares have risen approximately 300 percent over the past year as the AI boom drives South Korean growth and pushes the stock market to unprecedented levels.

Consumer Electronics Face Price Pressure

Strong orders for high-bandwidth memory (HBM) — a type of chip used in data centers and AI accelerators — are pushing up prices across the entire memory chip market. This means the cost of less specialized chips used in consumer electronics is also rising, threatening higher prices for smartphones, laptops, and other devices worldwide.

Samsung and rival SK hynix have emerged as key suppliers of the high-performance chips demanded by companies racing to keep up with the fast-evolving AI industry. The South Korean government has pledged to make the country one of the world’s top three AI powers alongside the United States and China.

Industry Outlook

Analysts note that while supply capacity remains constrained, the continued expansion of AI infrastructure will provide long-term growth momentum for the memory chip industry. However, the broad increase in chip prices could also have ripple effects on the consumer electronics market, eventually passing through to end consumers.

Source: France 24/AFP

April 28, 2026 — Nvidia (NVIDIA) announced today a new memory solution aimed at alleviating the GPU VRAM shortage that has plagued the AI industry for over a year. The move is being hailed as a critical step toward resolving what some have called the “RAM Apocalypse.”

Background of the Memory Crisis

Over the past year, as large language models have grown in scale, the demand for GPU VRAM in AI training and inference has surged exponentially. From tens of billions to trillions of parameters, each generation of models has imposed higher memory requirements. At the same time, global production capacity for High Bandwidth Memory (HBM) has fallen severely short of demand, with major suppliers Samsung, SK Hynix, and Micron unable to keep pace.

Gizmodo reported that VRAM shortages have become one of the biggest bottlenecks constraining AI development, affecting everyone from tech giants to startups. Some AI companies have been forced to scale down their models or delay product launches, while GPU prices have continued to climb due to memory supply constraints.

Nvidia’s Response

Nvidia’s announced solution spans multiple dimensions:

1. Software-level optimization: Improved memory management algorithms and model compression techniques enable existing GPUs to utilize VRAM more efficiently. New driver and CUDA toolkit updates include several VRAM optimization features.

2. Hardware-level adjustments: Next-generation GPU architectures will employ more advanced memory packaging technology, increasing per-card VRAM capacity. Reports indicate new GPUs will support higher-density HBM4 memory chips.

3. Supply chain collaboration: Nvidia is deepening partnerships with HBM suppliers like SK Hynix and Samsung to expand production capacity and optimize supply chains, ensuring stable future memory supply.

Industry Impact

Tech media outlets such as Neowin note that Nvidia’s 596.36 driver already includes support for 12GB RTX 5070 laptop GPUs, signaling the company is adjusting its product lineup to ease consumer-market memory pressure.

Industry analysts say resolving the VRAM issue is crucial for the AI industry’s continued growth. “Without sufficient VRAM, even the most powerful GPUs can’t reach their full potential,” said one AI engineer who requested anonymity. “Nvidia’s move is heading in the right direction, but fully solving the problem will take time and coordinated effort across the entire supply chain.”

Market Reaction

Following the announcement, Nvidia’s stock rose slightly in after-hours trading. Investors broadly believe that easing the memory bottleneck will help Nvidia’s GPU shipments scale further, driving AI-related revenue growth.

However, some analysts cautioned that HBM capacity expansion is not an overnight process, and short-term memory supply constraints may persist.

Sources: Gizmodo, Neowin