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022025-06

🖥️ Server: Applied Digital Teams with CoreWeave on 250 MW AI Campus

Applied Digital announced 15-year agreements granting CoreWeave 250 MW of power capacity at its Ellendale, ND, site to host large-scale NVIDIA GPU clusters. This deal is projected to generate roughly $7 billion in revenue and cements Applied Digital’s status as a leading AI infrastructure REIT.

🔩 Hardware: MediaTek’s 2 nm Flagship SoC to Start Tape-Out in September

MediaTek confirmed its cutting-edge 2 nm smartphone processor will enter TSMC’s fabrication queue in September 2025. Built on TSMC’s N2 node, this chip aims to deliver roughly 25 percent better performance-per-watt compared to 3 nm predecessors—geared for late-2025 flagship phones and edge-AI devices.

🎨 Graphic Design: Adobe Firefly Adds OpenAI & Google AI Engines

Adobe rolled out an update to Firefly that supports switching between OpenAI’s image model and Google’s Imagen 3/Veo 2 within a single workspace. Creators can now experiment with multiple AI generators effortlessly, comparing styles and results under one credit umbrella.

🎮 Gaming: Elden Ring Nightreign Patch 1.02 Rolls Out Solo-Mode Tweaks

FromSoftware is releasing Patch 1.02 for Elden Ring: Nightreign on June 5, featuring a one-time self-revive option in solo runs and increased rune rewards for players who avoid co-op summons. These changes aim to balance difficulty for lone adventurers while keeping multiplayer untouched.
012025-06

🎮 Gaming: Epic Games Opens “Guardians of Terra” Closed Beta on June 15

Epic Games confirmed that “Guardians of Terra,” their upcoming open-world RPG, will enter a closed beta phase on June 15 for PC and Epic Games Store. Players can sign up to explore the floating island realm of Terra, test cooperative dungeon raids, and report bugs. The developer promises weekly content drops throughout beta, including a new mount system and expanded skill trees. “Guardians of Terra” aims to blend deep lore with seamless multiplayer.

🎨 Graphic Design: Photoshop 2025 Adds AI-Powered Texture Synthesis

Adobe released Photoshop 2025 today, debuting a “Texture Studio” panel that uses AI to generate seamless textures—wood grain, stone, fabric—based on a single sample. Designers can tweak scale, pattern density, and color variations in real time. The update also improves Multiframe Upscale, letting artists enhance low-res images up to 8K without artifacts. Early feedback highlights how Texture Studio cuts hours off manual cloning tasks.

🔩 Hardware: ASUS ROG Zephyrus X16 Debuts with NVIDIA RTX 50-Series GPUs

ASUS lifted the curtain on the ROG Zephyrus X16 gaming laptop, featuring the new NVIDIA RTX 50-Series mobile GPUs (RTX 5080 Mobile) and AMD’s Ryzen 9 8950HX CPU. The 16-inch OLED display offers a 240 Hz refresh rate and HDR10+ support, wrapped in a sub-20 mm chassis. Early benchmarks show 30% higher frame rates in AAA titles compared to last year’s model, and ASUS claims improved thermal management keeps fan noise under 40 dB.

🖥️ Server: AWS Debuts Graviton4 Instances Optimized for ML Inference

Amazon Web Services launched Graviton4-based EC2 instances today, purpose-built for high-performance machine-learning inference. These new instances deliver up to 50% better cost efficiency compared to previous generations when running popular frameworks like TensorFlow Lite and ONNX Runtime. AWS says beta customers have seen inference latency drop by 40% on real-world workloads, making it ideal for scaling AI services.

📱 App: Spotify Unveils “Group Vibes”—AI-Curated Social Listening Rooms

Spotify rolled out “Group Vibes,” a new feature that lets friends join shared listening sessions with AI-generated playlists tailored to each group’s tastes. Users simply pick a mood or genre, invite up to 10 friends, and the AI engine seamlessly blends each person’s favorite tracks into a dynamic, collaborative queue. Early testers praise its smooth handoffs between songs and built-in chat for song requests.

🤖 AI: OpenAI Partners with WHO to Build Early Disease Detection Models

OpenAI today announced a collaboration with the World Health Organization to train AI models on global health data, aiming to flag outbreak patterns before they spread. By combining WHO’s epidemiological expertise with OpenAI’s machine-learning platform, the initiative hopes to shorten response times and improve resource allocation during emerging health crises.

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