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.
- 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.
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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, Founder & CEO
- London AI Summit (10-11 June) | Meet Jamie 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.
- SuperAI Singapore (8-14 June) | Meet Ilman Shazhaev, Founder & CEO
- London AI Summit (10-11 June) | Meet Jamie 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.
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This week at FAR Labs👇
- Explored what happens when AI infrastructure shifts from serving models to coordinating intelligent systems at scale.
- 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.
- 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).
Check all details 👇🏻
https://x.com/farlabsai/status/2063622008064389343
- Explored what happens when AI infrastructure shifts from serving models to coordinating intelligent systems at scale.
- 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.
- 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).
Check all details 👇🏻
https://x.com/farlabsai/status/2063622008064389343
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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
Check details here 👇🏻
https://x.com/farlabsai/status/2063892055424979167
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
Check details here 👇🏻
https://x.com/farlabsai/status/2063892055424979167
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Modern AI infrastructure is no longer only about compute power.
As AI platforms scale into real-time products used by millions of people, the bigger challenge is becoming coordination: managing workloads across distributed GPU infrastructure while balancing latency, compute availability, inference costs and real-time demand.
Our latest article explores how modern AI platforms are evolving into coordination systems through intelligent routing, workload-aware scheduling, prompt caching, distributed inference and scalable GPU orchestration.
As AI agents, copilots and real-time AI applications continue to grow, infrastructure efficiency may become one of the biggest competitive advantages in the AI ecosystem.
Read the full article here:
https://x.com/FARLabsAI/status/2064230571707162938
As AI platforms scale into real-time products used by millions of people, the bigger challenge is becoming coordination: managing workloads across distributed GPU infrastructure while balancing latency, compute availability, inference costs and real-time demand.
Our latest article explores how modern AI platforms are evolving into coordination systems through intelligent routing, workload-aware scheduling, prompt caching, distributed inference and scalable GPU orchestration.
As AI agents, copilots and real-time AI applications continue to grow, infrastructure efficiency may become one of the biggest competitive advantages in the AI ecosystem.
Read the full article here:
https://x.com/FARLabsAI/status/2064230571707162938
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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.
https://x.com/farlabsai/status/2064695624826589467
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.
https://x.com/farlabsai/status/2064695624826589467
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From today at SuperAI.
Ilman Shazhaev, 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.
Check here 👇🏻
https://x.com/farlabsai/status/2065074041468137649
Ilman Shazhaev, 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.
Check here 👇🏻
https://x.com/farlabsai/status/2065074041468137649
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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.
- 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.
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McKinsey estimates that meeting global compute demand by 2030 could require up to $6.7 trillion in data center investment, with AI-related capacity alone accounting for roughly $5.2 trillion.
As AI demand continues to grow, efficiently utilizing existing compute resources becomes increasingly important.
This is where FAR AI comes in, coordinating underutilized GPU capacity across consumer devices, workstations and existing infrastructure to transform available compute into a distributed network for AI inference.
As AI demand continues to grow, efficiently utilizing existing compute resources becomes increasingly important.
This is where FAR AI comes in, coordinating underutilized GPU capacity across consumer devices, workstations and existing infrastructure to transform available compute into a distributed network for AI inference.
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Last week at SuperAI Singapore was packed for FAR Labs.
More than 20 side events, 100+ strategic conversations and strong connections across builders, GPU providers, model teams, investors and enterprise leaders.
Main takeaways from the event: AI inference demand is growing fast, compute supply remains a major focus and builders are actively looking for faster, reliable and lower-cost infrastructure.
More insights and takeaways from our SuperAI Singapore week up next.
Read full tweet 👇🏻
https://x.com/farlabsai/status/2067178405951664487
More than 20 side events, 100+ strategic conversations and strong connections across builders, GPU providers, model teams, investors and enterprise leaders.
Main takeaways from the event: AI inference demand is growing fast, compute supply remains a major focus and builders are actively looking for faster, reliable and lower-cost infrastructure.
More insights and takeaways from our SuperAI Singapore week up next.
Read full tweet 👇🏻
https://x.com/farlabsai/status/2067178405951664487
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FAR Labs at SuperAI Singapore 2026: Key Takeaways on AI Infrastructure
SuperAI Singapore 2026 brought 10,000+ attendees, 1,500 AI companies and 150+ speakers to Marina Bay Sands on 10–11 June, as the anchor event of Singapore AI Week from 8–14 June.
For FAR Labs, it was more than an event presence and a strong market validation moment. Across conversations with builders, infrastructure providers, model teams, investors and enterprise leaders, one signal stood out clearly: AI builders need inference that is low-cost, reliable, efficient and built for speed and FAR AI is building the infrastructure layer to deliver it.
Read FULL Article 👇🏻
https://x.com/farlabsai/status/2067246927847305704
SuperAI Singapore 2026 brought 10,000+ attendees, 1,500 AI companies and 150+ speakers to Marina Bay Sands on 10–11 June, as the anchor event of Singapore AI Week from 8–14 June.
For FAR Labs, it was more than an event presence and a strong market validation moment. Across conversations with builders, infrastructure providers, model teams, investors and enterprise leaders, one signal stood out clearly: AI builders need inference that is low-cost, reliable, efficient and built for speed and FAR AI is building the infrastructure layer to deliver it.
Read FULL Article 👇🏻
https://x.com/farlabsai/status/2067246927847305704
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