Your GPU could do more than sit idle. Node registrations for FAR AI are now open. See your estimated output, submit your details, and secure your place early in the network. Register here: farlabs.ai/join-network#beco…

This week at FAR Labs👇 - The FAR Labs team joined SuperAI Singapore, connecting with founders, enterprises, investors, developers and AI leaders from around the world. - Our Founder & CEO, Ilman Shazhaev, took the stage to share how FAR AI is building production-ready infrastructure for AI inference at scale. - The biggest takeaway from the week: demand for AI is growing rapidly and infrastructure remains a key priority. - We shared our latest perspective on why modern AI infrastructure is becoming a coordination system. - Continued conversations around distributed AI infrastructure, orchestration and inference at scale. - SuperAI Week reinforced our belief that the future of AI will be shaped not only by models but by the infrastructure that enables them. Building continues.

Three days at @superai_conf in Singapore, on stage presenting FAR AI and speaking with builders and operators in the space. The industry is racing to add more compute while a large amount of capable GPU power already sits idle and out of reach for production workloads. The practical challenge is making that existing capacity stable enough to build on. Sachin Hindupur from @AMD put numbers behind it on the main stage: demand growing 3.5x by 2030, GPU lead times of 36 to 52 weeks, and grid connections taking 4 to 7 years. You can't procure your way out of timelines like that. This is the gap we're building @FARLabsAI to close: turning idle capacity into a single inference network that routes each request, in real time, to a node that can serve it with low latency and reliability. The last three days only sharpened my conviction that it's the right problem to be working on. Grateful to the team for these three days, and to everyone who stopped by.

From today at SuperAI. Ilman Shazhaev (@shzhv13), our Founder & CEO took the stage to share how FAR Labs by @Dizzaract is building production-ready infrastructure for AI inference, followed by great conversations with founders, investors and industry leaders from around the world. Looking forward to what's ahead this week.

Live from SuperAI. The FAR Labs by @Dizzaract team is meeting attendees, showcasing our platform and connecting with builders and AI leaders from around the world. We'll be at Booth PB19, L5 tomorrow. Come meet the team.

See how FAR AI is building production-ready infrastructure for AI inference at scale. Join our Founder & CEO, Ilman Shazhaev (@shzhv13), as he takes the stage at SuperAI 2026 to share what we're building at FAR Labs by @Dizzaract.

We're kicking off SuperAI Week at the Founder Spotlight. Join us for demos of: - FAR AI: Distributed AI infrastructure for inference at scale - FAR Chat: Unified AI assistant powered by leading AI models - GAMED: Intelligent gaming ecosystem and player identity platform Register for free: luma.com/tgbaivillagedemo?tk…

This week at FAR Labs👇 - Explored what happens when AI infrastructure shifts from serving models to coordinating intelligent systems at scale. New blog live: farlabs.ai/blog/why-modern-a… - Highlighted the growing gap between AI demand and the infrastructure required to support it. - Published a deep dive into the systems behind modern AI inference and the infrastructure powering every AI response: farlabs.ai/blog/the-hidden-m… - Shared new industry insights on AI adoption, hybrid model usage, and infrastructure readiness in 2026. - Community discussion on what will define the next AI race. Faster inference led the conversation. - Continued conversations around distributed AI infrastructure, orchestration, and serving intelligence at scale. - Announced our participation at world's leading AI events: SuperAI Singapore (8-14 June) & London AI Summit (10-11 June). More ahead, stay tuned.

Meet the team representing FAR Labs by @Dizzaract at two of the world's leading AI events. - SuperAI Singapore (8-14 June) | Meet Ilman Shazhaev (@shzhv13), Founder & CEO - London AI Summit (10-11 June) | Meet Jamie Elkaleh (@Elkaleh), COO From distributed AI infrastructure and inference to the future of AI deployment at scale, join us for conversations, live product demos and a closer look at FAR AI. Let's connect.

We're heading to Singapore and London this June 26’. - SuperAI Singapore | 8–14 June
 - London AI Summit | 10–11 June
 Join us for live FAR AI demos, conversations around AI infrastructure and a closer look at what we're building at FAR Labs by @Dizzaract. If you're attending either event, we'd love to connect. See you there.

@FARLabsAI joins TGB AI Village at @superai_conf! FAR Labs, by @Dizzaract, is building a distributed inference layer for interactive workloads — routing requests in real time across available #GPUs instead of relying only on centralized clusters. Interesting for game studios, AI product teams, and operators thinking about low-latency AI at scale. Excited to spotlight Founder & CEO - Ilman Shazhaev @shzhv13 - and team, as they push forward in AI infrastructure. #TGBAIVillage #SuperAI2026 #TheGenerativeBeings #AIStartups #decentralisedAI #inference #ainifrastructure @shivanggupta88

AI adoption is accelerating. What will define the next AI race? Curious where the community thinks the next competitive edge comes from.

This week at FAR Labs👇 - We explored why AI infrastructure is evolving into a coordination system. New blog live: farlabs.ai/blog/when-ai-infe… - Our founder shared his perspective on the economics of AI inference and why owning the compute layer matters. - A new FAR AI video dropped, breaking down how distributed infrastructure connects compute demand with underutilized GPU supply: youtu.be/olI0DP0QPx8?si=AVHL… - We sparked discussion on what will matter more over the next 5 years: AI models or infrastructure. - Our community voted GPU compute as AI's biggest bottleneck by 2030. - Fresh insights on inference economics, routing and distributed AI systems across our channels. More ahead, stay tuned.