TAIPEI, June 2, 2026 /PRNewswire/ -- GIGABYTE, the world's leading computer brand, continues to advance its vision of "Create Your Own AI on Your Own Desk" with the expansion of the AI TOP ecosystem at COMPUTEX 2026. More than a single product, AI TOP is a purpose-built local AI ecosystem that combines dedicated hardware and optimized systems to simplify AI development. As AI agents become increasingly capable of executing tasks, automating workflows, and operating continuously, AI TOP provides a scalable foundation for users looking to deploy AI locally.
Expanding the ecosystem is the new AI TOP 100 B850, engineered for demanding AI workloads. Powered by the AMD Ryzen™ 9 9950X processor and available with either GeForce RTX™ 5090 or Radeon™ AI PRO R9700 graphics, the system combines high-performance processing with advanced graphics acceleration for AI computing. With support for up to 128GB of DDR5-5600 memory and a server-grade 1600W 80 PLUS Platinum power supply, it delivers the stability, scalability, and sustained performance required for advanced AI applications. Every workload runs locally, eliminating cloud dependency while keeping sensitive data under user control.
At the core of AI TOP is a complete hardware ecosystem built specifically for AI workloads. Every AI TOP motherboard, graphics card, SSD, and PSU is engineered and validated for sustained AI computing, including the new AORUS P1600W 80 PLUS Titanium Modular PCIe 5.1 AI TOP PSU. The portfolio spans three deployment tiers: AI TOP ATOM for personal and edge AI computing, AI TOP 100 Z890 and the new AI TOP 100 B850 for developer and team deployment, and AI TOP 500 TRX50 for enterprise-scale AI research. Together, they support AI workloads ranging from personal experimentation to large-scale model development.
Built with reliability in mind, every AI TOP system undergoes rigorous validation for continuous 24/7 operation under sustained AI workloads. To further simplify deployment, AI TOP offers pre-validated compatibility across more than 100 AI frameworks and development environments, including PyTorch, TensorFlow, and OpenClaw. By combining dedicated AI hardware, purpose-built systems, and a scalable ecosystem architecture, AI TOP provides a complete foundation for users to deploy AI locally. Please visit ENTER INFINITY at the GIGABYTE Consumer Booth, 4F Booth No. M0520 at COMPUTEX 2026, and explore more at GIGABYTE EVENT│ENTER INFINITY.
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GIGABYTE Expands Its AI TOP Ecosystem for the Next Era of AI Agents
TAIPEI, June 2, 2026 /PRNewswire/ -- Life science research is entering an AI era, but most discovery teams still cannot use frontier models at scale. Advanced AI models, molecular simulation tools, scientific databases, inference optimization and GPU infrastructure remain fragmented across separate systems. For many pharmaceutical companies, ingredient innovators, biotech teams, and research groups, this makes AI adoption slow, costly, and technically demanding.
NYB.AI, a Singapore Artificial Intelligence (AI) technology startup developing infrastructure for molecular discovery and life science research, aims to address this gap with Vecura, its agentic AI platform that connects scientific models, biological data, molecular analysis tools, and GPU accelerated computing into a unified discovery workflow.
Vecura 2.0 builds on the original Vecura 1.0 platform, which provided access to AI models and scientific tools for molecular discovery. With the new agentic layer, Vecura 2.0 moves beyond tool access toward workflow execution. It is designed to help research teams define scientific objectives, retrieve relevant context, activate suitable models, compare outputs, and generate structured decision support with less manual coordination.
From model access to agentic workflows
Vecura was built around a simple premise: the next barrier in AI for science is not access to more models. It is the ability to make those models work together in discovery settings. The original Vecura platform brought hundreds of AI models, scientific tools, biological data, and molecular analysis capabilities into connected workflows, helping research teams move across compound analysis, target exploration, formulation research, toxicity assessment, and translational R&D without relying on separate systems at every step.
Vecura 2.0 extends this foundation with an agentic AI layer. The upgraded platform is designed to reason across the workflow by understanding research objectives, retrieving relevant scientific context, selecting suitable models, coordinating execution, comparing outputs, and generating structured next step recommendations. This evolves Vecura from a workflow platform into a more intelligent discovery system that can assist scientists at scale, closer to how real research decisions are made.
This agentic approach allows scientists to focus on research direction rather than infrastructure management. It also supports NYB.AI's broader vision to democratize molecular discovery by making advanced AI models, scientific tools, and GPU intensive workflows more accessible to teams beyond large pharmaceutical organizations and specialized computational labs.
Scaling access through NVIDIA technologies
NYB.AI is strengthening Vecura's agentic architecture for scientific discovery using NVIDIA technologies. As a member of the NVIDIA Inception program for startups, NYB.AI received access to NVIDIA Hopper GPUs through NVIDIA Innovation Lab, along with engineering guidance to advance Vecura's ability to plan, execute, and coordinate complex research tasks. This support enables Vecura to move beyond isolated model execution toward connected workflows where scientific context, model selection, inference, comparison, and decision support operate as one system.
Vecura is powered by NVIDIA technologies spanning agentic orchestration, scientific modeling, data and retrieval, and production deployment - all running on NVIDIA accelerated computing.
NYB.AI is also developing a token based access model for Vecura 2.0. Through platform credits, biopharma companies, ingredient companies, and research teams can access AI powered discovery workflows such as compound screening, bioactivity prediction, and molecular docking. This model allows users to run compute intensive scientific tasks through NYB.AI's platform without needing to build or operate their own infrastructure.
What's next?
NYB.AI is bringing Vecura 2.0 to the NVIDIA Inception Startup Showcase at the Inception Pavilion during InnoVEX 2026 (June 2–5, 2026, Taipei Nangang Exhibition Center). The showcase will give NYB.AI an opportunity to validate Vecura 2.0 with enterprise leaders, investors, ecosystem partners, and international buyers, and strengthens its visibility within NVIDIA Inception ecosystem — demonstrating how agentic AI can move beyond model experimentation into usable research infrastructure for molecular discovery teams.
At InnoVEX 2026, NYB.AI will demonstrate how Vecura 2.0 can support molecular discovery and life science research across pharmaceuticals, nutraceuticals, cosmetics, food science, functional ingredients, and consumer health. The platform reflects NYB.AI's broader mission to make advanced AI discovery infrastructure more usable, scalable, and accessible across the life science ecosystem.
About NYB.AI
NYB.AI is an AI biotechnology company developing infrastructure for molecular discovery and life science research. Its flagship platform, Vecura, is an agentic AI platform that connects AI models, scientific tools, biological data, retrieval systems, accelerated computing, and autonomous workflows to help life science teams shorten discovery cycles and prioritize high-potential candidates.
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NYB.AI Launches Vecura 2.0, Bringing Agentic AI Workflows to Molecular Discovery, with NVIDIA
