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Semiconductors & infrastructureOracleNVIDIAVeraRubinNVL72VeraCPUOCIAI cloudGPUSuperclustersData centersGigawattsAI agentsCloud infrastructure

Oracle · NVIDIA's Vera Rubin cloud offering and plans to expand the number of GW

Open Time: October 28, 2026, 01:01 KST Oracle and NVIDIA announced that they are expanding their collaboration on cloud AI infrastructure. Oracle Cloud Infrastructure has started offering NVIDIA Vera Rubin NVL72 systems and Vera CPUs in general, and plans have been made to expand the AI supercluster to several gigawatts in the future. The important thing is that the product I have already started offering is different from the total capacity I will build in the future

Semiconductors & infrastructureAMDMetaHeliosEPYCInstinctGPUROCmAI serversMuseAI agentsSemiconductor investmentData centersRack scaleAI infrastructure

AMD's Meta investment of $1 billion and Helios AI server up and running

Open Time: October 27, 2026, 22:15 KST AMD has announced that it is investing $1 billion in a public offering of shares in Meta. At the same time, he disclosed that the rack-unit AI system Helios is already running on the Meta infrastructure, and that EPYC server processors are supporting Muse AI agents. The key point of this announcement is that we have moved from the cooperation plan to the actual system operation. In large AI infrastructures, GPU-unit performance, as well as CPU, network,

Semiconductors & infrastructureNVIDIAMetaMuseAI agentsVeraRubinVeraCPUSpectrumXBlueField4AI chipsGPUAI infrastructureEquity investmentsInference optimization

NVIDIA's Meta $3 Billion Investment and Muse AI Infrastructure Collaboration

Open Time: October 27, 2026, 15:08 KST NVIDIA has announced that it will invest $3 billion in a public offering of shares in Meta. At the same time, we decided to expand technical cooperation with Meta's AI agent Muse to learn and execute related models more efficiently. As important as the investment itself is, the server configuration required to operate the AI agent on a large scale has been specified. Vera Rubin, Vera CPU, Spectrum-X Ethernet, B

Semiconductors & infrastructureSK hynixHBM4High bandwidth memoryDDR5Enterprise SSDsSemiconductor earningsAI data centersSemiconductor investmentKioxiaShareholder returnsYongin semiconductor cluster

SK hynix sales surpassed 104 trillion won in the third quarter and expanded supply of HBM4

Public Time: October 28, 2026, 08:49 KST SK Hynix announced sales of 104.6155 trillion won and operating profit of 83.3338 trillion won in the third quarter of 2026. It's the first time in the company's history that quarterly sales exceeded 100 trillion won. As the demand for memory entering AI servers overlaps with the increase in product prices, the revenue structure has changed dramatically. If you look at this announcement as a simple performance record, you will miss an important part. HBM4 sales expansion, DDR5 for servers and For Enterprise

Semiconductors & infrastructure

TSMC Q3 Net Income of $763 Billion Taiwan Dollars… Expanded to 8% of 2nm Revenue

We've been told that AI semiconductor demand is strong, but we need to separately check how well it has performed in the actual manufacturing field. TSMC's Q3 2026 results, which were released on October 15, are an important indicator of that trend. TSMC announced revenues of $1.4942.44 trillion and net income of $763.66 trillion in the third quarter. Net profit was 68.7% higher than YoY, and 2nm process share wafers of sales

AI models & services

Meta Unveils 816 Billion Parameter Muse Spark Open… Running Huge AI Locally on Mac

There was a strong perception that a huge data center or cloud API was needed to use a very large AI model. However, Meta released the model weights directly, and presented a new option to run multiple high-performance desktops. The Muse Spark Open, announced by Meta on October 15 (US local date), is a multimodal model with a total of 816 billion parameters. Apple is also using MLX on the same day on the M5 Ultra-based Mac Studio