Brian Hoang

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Brian Hoang

Brian Hoang

@BrianPictor

Co-founder & COO of @pictor_network Building DePIN on @Aptos. Make Your Move on Aptos 🌐

Katılım Ekim 2021
193 Takip Edilen1.4K Takipçiler
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Brian Hoang
Brian Hoang@BrianPictor·
🔥 Today marks a huge step for us at Pictor Network — Mainnet is officially live on @Aptos! From day one, our vision has been clear: unlock decentralized GPU power for AI & 3D rendering, built by the community, for the community. This isn’t just launch day. It’s the start of a new era where builders, creators & DePIN believers come together to shape the future. ⚡️ Join us: app.pictor.network #DePIN #AI #Rendering #Aptos
Pictor Network@pictor_network

Pictor Network Officially Launches Mainnet on @Aptos! We’re officially on the Aptos chain — bringing lightning-fast GPU rendering and AI workloads to a whole new level. With Pictor Network Mainnet, creators, developers, and businesses can enjoy real-time, decentralized computing with low-latency performance. Powered by Aptos, we’re powering the next generation of scalable, decentralized innovation. The future starts today. 🌐 Start today: app.pictor.network

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Brian Hoang retweetledi
Pictor Network
Pictor Network@pictor_network·
Pictor Network 🤝 InFlow Strategic Partnership Announcement We’re excited to team up with @inflowpayai - the global payment service provider for agentic commerce to unlock the next frontier of AI commerce. This is where GPU infrastructure meets agentic payments, enabling AI agents to transact, execute, and scale autonomously, and how computing becomes programmable. Explore more 🧵
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Pictor Network
Pictor Network@pictor_network·
GPU Topology: The Hidden Driver of AI Training Performance When evaluating AI performance, most teams focus on GPU power and quantity. However, an often overlooked factor plays a crucial role in training efficiency: GPU topology - the way GPUs are interconnected and communicate within a system. For instance: - GPUs linked via NVLink enable ultra-fast data transfer - GPUs communicating through the CPU or PCIe introduce higher latency In distributed training scenarios, these differences can significantly impact overall speed, even when using identical GPU models. A well-designed GPU topology can outperform a seemingly stronger setup with poor connectivity. This highlights a key insight: in AI infrastructure, how GPUs are connected is just as critical as the GPUs themselves. 👉 Explore GPU solutions for AI: pictor.network
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Brian Hoang retweetledi
Pictor Network
Pictor Network@pictor_network·
AI Agents Need More Than Intelligence 🧠 AI agents may be getting smarter, but they still rely on powerful computing behind the scenes. OpenClaw is helping define the next wave of AI: autonomous agents that can execute complex, multi-step workflows rather than simply responding to prompts. But no matter how advanced these agents become, they all depend on one essential layer: compute infrastructure. A typical OpenClaw deployment includes: - An LLM backend (such as GPT, Claude, Gemini, or local models) Support for parallel task execution - Continuous inference to keep agent workflows running smoothly - This is why GPU infrastructure plays a critical role in scaling AI agents effectively. As AI shifts from chat-based interactions to automation and autonomous systems, the nature of workloads is evolving too, demanding more real-time inference, more parallel processing, and always-on operations. That means infrastructure must evolve as well, purpose-built not just for training models, but for running intelligent systems in production. 👉 Explore scalable GPU solutions for AI: pictor.network
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Brian Hoang retweetledi
Pictor Network
Pictor Network@pictor_network·
🚀The 10 most popular AI apps globally till Mar. 2026🚀 AI has moved beyond hype & becomes an essential digital infrastructure. With more than 1.7 billion monthly users, competition is intensifying across established leaders and emerging innovators. With #ChatGPT at the front, alongside names like #Gemini, #Deepseek, and #Genius (Vietnam), the ecosystem is expanding rapidly and becoming increasingly competitive. 🌍 What AI tools are part of your daily routine?
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Brian Hoang retweetledi
Pictor Network
Pictor Network@pictor_network·
🔗The Financial Pitfalls of Heavy GPU Investments🔗 Committing hundreds of thousands of dollars to GPU hardware can introduce significant financial risk. The expense goes far beyond purchasing high-end cards like NVIDIA H100 or NVIDIA A100. In reality, several hidden costs and operational risks quickly add up, including: - The infrastructure required to run them: servers, electricity, and cooling systems - Fast hardware depreciation as new GPU generations are released - Idle capacity when workloads slow down or fluctuate - Limited flexibility to scale down or resell hardware if business priorities change For many startups, the core issue is capital being locked into rigid infrastructure. When projects pivot or growth accelerates unexpectedly, physical GPUs are difficult to liquidate and slow to scale. Flexible GPU rental platforms such as Pictor Network offer an alternative approach. By accessing GPUs on demand, companies can reduce upfront investment, manage cash flow more effectively, and stay adaptable as their AI workloads evolve. Explore GPU solutions for AI at 👉 pictor.network
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Brian Hoang retweetledi
Pictor Network
Pictor Network@pictor_network·
AI Agents: Building the Enterprise Virtual Workforce In 2026, the question is how far AI Agents can scale productivity. AI Agents are more than chatbots. They reason, use tools, run multi-step workflows, and operate 24/7, supporting data analysis, content creation, software operations, and customer service at scale. They’re becoming a true virtual workforce layer inside modern organizations. But scale demands infrastructure. Thousands of concurrent inference tasks require low latency, stability, and predictable GPU performance. Without the right backbone, agents create bottlenecks instead of efficiency. Pictor Network delivers production-ready NVIDIA GPU infrastructure built for enterprise AI Agents: flexible, secure, and optimized for scale without heavy upfront investment. This is where AI moves from experimentation to real operational impact. 👉 Explore GPU solutions for AI at: pictor.network
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Shelby
Shelby@shelbyserves·
Reply with a ⚡️ for special DMs about Shelby Early Access.
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Brian Hoang retweetledi
Pictor Network
Pictor Network@pictor_network·
GPU Fragmentation: The Silent Cost Multiplier in AI Infrastructure When talking about rising GPU bills, the team often blames shortages, demand, or scale, but the real issue is usually hidden within your own infrastructure. GPU fragmentation occurs when compute and VRAM are technically available but cannot be effectively utilized because workloads are poorly matched, rigidly allocated, or inefficiently scheduled. The GPUs look busy, your dashboard shows capacity online, but real utilization tells a different story. Read more 📷
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Brian Hoang retweetledi
Pictor Network
Pictor Network@pictor_network·
Happy Lunar New Year 2026 🧧 The new year ushers in a powerful era for AI: accelerated adoption, expanded scale, and tangible impact across industries. Pictor Network is honored to stand alongside AI innovators, startups, and enterprises, delivering flexible and dependable GPU infrastructure from early experimentation to production at scale. Wishing you a year filled with breakthrough ideas, resilient growth, and intelligent expansion. Warmest Lunar New Year wishes from Pictor Network 🎉🎉🎉!
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Brian Hoang retweetledi
Pictor Network
Pictor Network@pictor_network·
5 Common Questions When Renting a GPU for AI? 1️⃣ Is the rented GPU powerful enough for large models? Yes. High-end GPUs like A100 or H100 support LLM, CV, and GenAI workloads. 2️⃣ Is renting a GPU more expensive than buying? Not if you don’t run 24/7. Renting means paying only for what you use. 3️⃣ Is setup complicated? No. GPUs can be launched in minutes on Linux or Windows. 4️⃣ Is data and model security guaranteed? Yes, with proper isolation and access control from trusted providers. 5️⃣ How do I scale when demand increases? GPU rental allows instant scaling without new hardware investment. That’s why many AI teams choose Pictor Network to move fast and stay flexible. 👉 Learn more at: pictor.network
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Brian Hoang
Brian Hoang@BrianPictor·
First GenAI on @Aptos 💥💥💥
Pictor Network@pictor_network

Pictor Network: Empowering the First GenAI Creative Studio to @Aptos. AI creativity is moving fast but production-grade creation remains constrained. Despite rapid advances in generative models, producing consistent, high-quality images and videos remains expensive and complex. Professional workflows demand powerful GPUs, long inference cycles, and structured pipelines driving costs into tens or hundreds of thousands of dollars per year, while iteration stays slow and ownership unclear. At the same time, massive volumes of content are created every day, yet very little is natively ownable or on-chain. Most tools stop at generation, not value. At Pictor Network, we believe the next era of creativity requires infrastructure, workflow, and ownership to work together. That belief led us to build Creative Studio - the first production-grade GenAI creative platform on #Aptos🧵

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Pictor Network
Pictor Network@pictor_network·
What Do Developers Need Most When Renting GPUs for AI Training? For developers, GPU value is defined by how efficiently it integrates into the training pipeline. When selecting on-demand GPUs for AI workloads, engineering teams consistently prioritize: - Rapid provisioning: GPU instances available in minutes, minimal setup, zero operational overhead. - Operational clarity: Intuitive controls for instance management, scaling, and real-time cost visibility. - Production-grade support: Responsive technical assistance when training jobs fail, performance degrades, or resource contention occurs. At Pictor Network, our infrastructure is built with a developer-first mindset: fast iteration, stable training runs, and uninterrupted engineering workflows. 👉 Explore high-performance GPU infrastructure for AI!
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Brian Hoang retweetledi
Pictor Network
Pictor Network@pictor_network·
GPU for AI Startups: How Should Enterprises Start? For AI startups, the biggest mistake does not come from GPU infrastructure shortage but from the early setup. A smarter path: 📌 Start with hourly GPU rental for MVPs and experiments 📌 Scale only when data, models, and use cases are proven 📌 Avoid high upfront costs and idle hardware 📌 Stay flexible as your product evolves Pictor Network enables startups to access high-performance GPUs on demand, paying only for what they use 👉 Leave your contact below to learn more about GPU solutions for AI with our team!
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Brian Hoang retweetledi
Pictor Network
Pictor Network@pictor_network·
🤝 Partnership Announcement 🤝 Pictor Network is excited to announce a strategic partnership with @UAProtocol2025 (UAP) - a next-generation protocol designed to deliver safe, private, and truly borderless Internet access. Ultra Access Protocol combines AI-powered routing, end-to-end encrypted mesh networks, and satellite-enhanced node infrastructure to ensure fast, resilient, and censorship-resistant connectivity. By obscuring user location and eliminating centralized control points, UAP enables open access without surveillance or restrictions. Through this partnership, Pictor Network provides scalable GPU and compute infrastructure to support UAP’s AI systems and global node expansion, helping the network operate efficiently, securely, and at scale. Together, Pictor Network and UAP are building the foundation for a more open, private, and accessible Internet. 🌍🔐
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Pictor Network
Pictor Network@pictor_network·
🎉 Happy New Year 2026 from Pictor Network 🎉 2025 was a milestone year for Pictor. 🚀From idea to impact We launched our Testnet and quickly scaled into a global GPU network for AI training and 3D rendering. In just 10 days: 3,237 users, 1,184 workers, 5,571 jobs processed. 🚀Building with the ecosystem Throughout the year, Pictor partnered with communities and builders across Aptos, and creative ecosystems empowering creators through campaigns, workshops, and challenges. 🚀Real-world AI at scale In Q4, Pictor supported real production workloads through our partnership with AI Cycle, powered by 18,000+ GPUs worldwide, enabling real-time AI applications and faster scaling. 🚀Shaping the future of compute On-demand GPUs, zero setup, global availability and the introduction of Compute-as-a-Capsule for builders who move fast. None of this would be possible without our community, creators, workers, and partners who believe in accessible GPU power. 2026 is next. Let’s scale further, together!
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Pictor Network
Pictor Network@pictor_network·
🤖Popular GPU Options for AI in 2026 🤖 In 2026, AI workloads continue to grow in scale and complexity, making GPU selection more important than ever. ✅NVIDIA A100 remains a reliable choice for enterprise AI training and long-running workloads. ✅NVIDIA H100 is widely adopted for LLMs, GenAI, and high-performance inference, offering major speed improvements. ✅For smaller teams, RTX GPUs like RTX 4090 or RTX 6000 are commonly used for prototyping, fine-tuning, and experimentation. ✅At the cutting edge, NVIDIA B200 is designed for large-scale AI data centers requiring extreme performance. Instead of investing in expensive hardware, many teams now rent GPUs on demand to stay flexible. With Pictor Network, accessing the right GPU at each stage of AI development is simple and efficient. 👉 Explore more: pictor.network
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Pictor Network
Pictor Network@pictor_network·
🎄This Christmas, don’t overpay for #GPUs. With Pictor Network, you can rent or buy high-performance GPUs for AI training and 3D rendering at up to 4× lower cost than traditional cloud providers. 🎁 Build more. Spend less. Get yourself a gift at: app.pictor.network
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Pictor Network
Pictor Network@pictor_network·
⏰ ONLY 7 DAYS LEFT to claim your free GPU boost. Pictor Network’s “EZPicRender” ticket gives you +30% GPU Bonus Credit and it’s expiring soon. If you’re rendering 3D or training AI, get it now or regret later 👉 app.pictor.network 🚨Claim due date : 31/12/2025
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Pictor Network@pictor_network

🔥+30% Bonus Credit: Power Your Next Creation Ready to crush render times and push your creative limits? In sync with EZ Animation Challenge 2025, Pictor Network is giving creators a massive +30% Credit Boost with the code "EZPicRender"🎟. 👉Claim now: app.pictor.network Render faster, train AI models, scale workflows. All powered by real decentralized GPUs 🧵

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Pictor Network
Pictor Network@pictor_network·
🎉Pictor Network x AI Cycle: Powering Vietnam’s Insurance AI With Decentralized GPU Infrastructure🎉 We’re excited to announce a strategic collaboration with AI Cycle - Vietnam’s leading AI automation platform for motor insurance. AI Cycle now runs on Pictor Network’s decentralized GPU infrastructure, giving them the scalable, high-performance compute required for real-time damage detection, automated underwriting, and end-to-end claims processing. Read full at 👉 blog.pictor.network/pictor-network…
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Pictor Network
Pictor Network@pictor_network·
Owning GPUs sounds great until you hit reality: - CapEx burn - 4–12 week setup - Cooling + ops overhead GPU rental flips the model for builders. How? Explore below👇
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Keşfet

@inflowpayai @shelbyserves @pictor_network @Aptos @UAProtocol2025 @elonmusk @BarackObama @taylorswift13