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NVIDIA Unveils DGX Spark — The World’s Smallest AI Supercomputer
NVIDIA has launched DGX Spark, a compact yet powerful AI supercomputer designed to bring enterprise-level computing to smaller organizations and individual researchers. Despite its small form factor, it integrates the same CUDA and TensorRT stacks used in large-scale AI centers.
DGX Spark allows developers to train, fine-tune, and test large models locally without relying solely on cloud infrastructure. This breakthrough could drastically cut costs and latency for AI startups and research labs.
The system is already being adopted by companies like Dell and Lenovo, and it represents NVIDIA’s move toward making AI computing more accessible while maintaining professional-grade performance.
Oracle Launches “AI Database 26ai” with Built-in Vector Search
Oracle has rolled out Oracle Database 26ai, the company’s latest flagship database version focused entirely on AI-driven workloads. The update introduces integrated vector search, allowing businesses to run semantic and embedding-based queries directly within their existing data systems.
This means developers no longer need separate AI search infrastructure, simplifying deployment for generative AI applications. Oracle has also improved compatibility, so organizations can upgrade from older versions without disrupting current workflows.
By merging data management and AI inference in one platform, Oracle positions itself as a leader in the emerging “AI-native” database market.
Adobe Expands Firefly with AI Video and Global Collaboration Features
Adobe has globally released its Firefly Boards platform, adding powerful AI video generation and real-time creative collaboration tools. The new update enables users to turn text prompts into short videos, animations, and storyboards directly inside the Firefly interface.
Firefly Boards now includes project sharing, cross-team editing, and timeline-based AI scene generation — making it ideal for creative teams working remotely. Adobe’s integration with Premiere Pro and After Effects ensures a seamless production workflow.
This update marks Adobe’s most significant step into the generative video space, positioning Firefly as a strong competitor to tools like Runway and Pika Labs.
New Things in Tech You Should Know
Salesforce Agentforce 360 – Unified AI Customer Experience Platform
A next-gen AI platform from Salesforce designed to enhance CRM workflows through intelligent automation, predictive insights, and natural language understanding. It connects sales, support, and marketing data to deliver a unified customer experience.
Key Features:
• AI-powered conversation agents for real-time customer support
• Predictive lead and trend analysis with contextual recommendations
• Seamless integration with Slack, Tableau, and Einstein Copilot
Use Case:
Ideal for enterprises seeking to automate customer interactions and improve response efficiency while maintaining human-like personalization.
CodePilot Pro – AI-Driven Code Review and Optimization
An advanced AI assistant for developers that ensures code quality, security, and maintainability across projects. CodePilot Pro integrates with IDEs to provide on-the-fly analysis, debugging help, and automatic documentation.
Key Features:
• Real-time error detection and security vulnerability scanning
• Automated optimization and refactoring suggestions
• Natural-language documentation generation and code summarization
Use Case:
Best suited for development teams aiming to speed up code review cycles, reduce human errors, and maintain high-quality production standards.
Deep Dive: PreGenie — AI Agent for High-Quality Visual Presentations
PreGenie is a new agentic AI framework introduced in mid-2025 aimed at generating polished and coherent visual slide decks from multimodal inputs.It uses a two-phase process: first “analysis + initial generation” to draft layouts and content, then “review + regeneration” to iteratively improve aesthetics and consistency.
In benchmarks, PreGenie outperforms prior tools in layout coherence, visual/text alignment, and “human preference” metrics.
Key Features:
• Multimodal input processing — can take text, images, data, and combine them for slide generation
• Iterative review loop — the system evaluates rendered slides and refines them automatically
• Agentic modular design — multiple models collaborate (analysis, layout, regeneration)
• Markdown / code export — slides are rendered via a code framework (Slidev) for flexibility
Fun Corner! :)
