AITECH

2026: Where Everything Starts to Click As we move into 2026, the direction for Solidus AI Tech is clearer and more focused than ever. The emphasis is on delivery, resilience, and real-world usage. That is what the team is building toward every day. Compute capacity is expanding with the delivery of our H200 GPUs arriving soon which will help in scaling our high-performance infrastructure, designed to support workloads, at scale. Compliance first is now central to how we operate. We are deliberately moving toward compliance-first operations and more targeted acquisition. This strengthens the long-term foundation of the ecosystem and enables sustained enterprise participation. As mentioned in our Phase 2 announcement: @solidusaitech/aitech-phase-2-building-enterprise-grade-ai-infrastructure-434e01118617" target="_blank" rel="nofollow noopener">medium.com/@solidusaitech… Community alignment has remained strong, even through challenging market conditions. More than 155 million AITECH are currently staked on-chain, representing roughly 90 percent of last year’s all-time high of 165 million. That level of commitment reflects long-term belief rather than short-term price behavior. The next phase of products is taking shape. The Compute Marketplace providing on-demand, high-performance compute, Agent Forge 2.0 powering conversational and automated workflows, and Vision Makers as an all-in-one AI command center, together form a cohesive stack built to define how AI is powered, deployed and used across Web3. A redesigned website and refined brand identity are in development for the 2026 rollout, introducing a more corporate aesthetic that broadens the platform’s appeal and aligns more closely with enterprise standards. This is the direction the team is actively executing against, without locking the organization into rigid roadmaps that limit adaptability. 2026 is about systems that last, products that are used, and infrastructure that stays online.

AI Is Not The Product! Most teams are building “AI products.” That is the mistake. AI is not the product. It is a component inside a larger system. The product is the outcome: • Automation • Efficiency • Execution

If AI moves toward continuous execution, the value doesn’t sit in raw compute supply, It sits in who can guarantee it works every single time.

This is where the shift happens. Spot pricing looks cheap until you need consistency. Guaranteed access removes uncertainty and makes systems usable at scale.

AI infrastructure isn’t constrained by supply. It’s constrained by reliability. You can find compute. You can’t always depend on it when it matters. Learn more 🧵

@RafliDwiPu54356 Thank you for the support. We’re working hard behind the scenes and will share all Marketplace news through our official channels as soon as it's ready.

@AITECHio Will the compute marketplace be fully operational in the second quarter?

Weekly Development Update! Another week of strong progress across the Compute Marketplace and Agent Forge, as core infrastructure moves closer to full production readiness and new functionality continues to expand across the platform. Compute Marketplace • Production deployment completed • Final testing in progress Agent Forge • Added MCP server option to ERC8004 Agent Minting • Enabled plan top-ups using $AITECH for yearly and basic plans • Added new MCP Input block to support multiple MCP tools within a single workflow

Why Your AI Project Stalls After The Demo! Most AI projects look impressive in demos. Then they stall. Why? Because demos ignore real-world constraints: • Compute cost • Latency • Scaling • Reliability A model working once is easy. A system running 24/7 is not. The gap between demo and production is where most AI projects die.

Disclaimer: This communication is provided for informational purposes only and reflects development activities and exploratory initiatives as of the date stated. It does not constitute a commitment, guarantee, or representation regarding future functionality, timelines, availability, or performance. Features, integrations, and protocols referenced may be modified, delayed, or discontinued as development progresses. Nothing herein should be interpreted as financial, investment, or business advice under Regulation (EU) 2023/1114 (MiCA) or other applicable laws. AI-enabled tools and workflows remain subject to technical limitations and ongoing evaluation. Users should conduct their own research before making any decisions.

Analyze Images and PDFs with AI! The Gemini 3 Flash Agentic Vision Tool is an agent on Agent Forge. It uses Gemini agentic vision to analyze images and PDFs via URL. Simply provide the link to an image or PDF, and the agent processes the content to analyze what is inside the file. Built for workflows that require automated visual analysis without manually reviewing documents or images. 👉 agents.aitech.io

Disclaimer: This survey is for informational and engagement purposes only. Responses are collected to gather insights and do not represent advice, endorsements, or commitments from Solidus Ai Tech.

In 5 years, who controls the AI economy?

AI Agents Are Changing How Software Is Built! Software used to be static. Developers wrote code. Users interacted with interfaces. AI agents are changing that model. Agents can now execute tasks, analyze data, automate workflows, and interact with systems without constant human input. Instead of software being used, software increasingly acts. This shift is driving the rise of agent-based platforms and new forms of automation.

The Real AI Skill Nobody Talks About! Everyone talks about prompt engineering. But the real skill is workflow design. The best AI builders know how to connect: • Models • Data sources • Execution logic • Automation tools AI becomes powerful when it operates inside a system, not as a single prompt.

✨ We wish our community a blessed Eid! May this day bring peace, happiness, and prosperity to you and your loved ones.

Disclaimer: This communication is provided for informational purposes only and does not constitute financial, investment, legal, or professional advice under Regulation (EU) 2023/1114 (MiCA) or any other applicable law. References to token supply updates, staking participation levels, capacity milestones, or ecosystem metrics are factual in nature and do not constitute an offer, solicitation, or recommendation. Participation in staking involves risk, including risks associated with the value or return of digital assets. Users should conduct their own research before making any decisions.

$200B AI Infrastructure Market by 2030! Global spending on AI infrastructure is projected to exceed $200 billion by 2030. As AI models grow larger and autonomous systems become more common, demand for compute, GPUs, and data center capacity continues to accelerate. The next decade will be defined by the race to build and scale AI infrastructure.

@RafliDwiPu54356 All currently available information has already been shared in announcement. At this time, there are no additional updates beyond what has been communicated. When there is news, it will be posted through official channels.

@AITECHio How is the data center development target up to now?