Alex Yeh
@alex_yehya
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Founder/CEO of GMI Cloud. Recently named as 1 of 6 Nvidia Reference Platform Partner. Building world’s fastest AI native cloud across 7 DCs & 5 countries
Bay Area
Joined March 2013
OpenAI buying Statsig for $1.1B shows the stack is maturing. It's no longer just about the model. It's about A/B testing, observability, and MLOps. The application layer is getting serious.
.@vijayeraji, founder & CEO of Statsig, will join OpenAI as CTO of Applications to lead engineering for ChatGPT & Codex, following the acquisition of Statsig. This expands our Applications leadership as we build safe, useful AI products at scale.
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A $183B valuation isn't just for salaries; it's a war chest for compute. This is the clearest signal yet: the AI race is won or lost on the battlefield of infrastructure. The capital is for GPUs.
We've raised $13 billion at a $183 billion post-money valuation. This investment, led by @ICONIQCapital, will help us expand our capacity, improve model capabilities, and deepen our safety research.
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Cohere's enterprise translation model is smart. It proves specialized models can beat giants. But the key is private deployment. For enterprise, control over the infrastructure is non-negotiable.
Introducing Command A Translate, our state-of-the-art model designed for high-quality translation tasks.
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OpenAI's gpt-realtime is the future of voice. But "real-time" is an infrastructure promise. The unified model is a leap, but the UX lives or dies on near-zero latency. This is a brutal infra challenge.
The Realtime API is officially out of beta and ready for your production voice agents!. We’re also introducing gpt-realtime—our most advanced speech-to-speech model yet—plus new voices and API capabilities:. 🔌 Remote MCPs.🖼️ Image input.📞 SIP phone calling.♻️ Reusable prompts
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That's all. I am Alex Yeh. If you like this topic:. 1. Follow me（@alex_yehya）.2. Like + share the first post below.
🚀 Excited to share how @Higgsfield_ai is revolutionizing generative video with GMI Cloud!. 45% lower compute costs + 65% faster inference = cinematic AI video for everyone. Here's how we're powering the future of video creation 🧵
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Ready to scale your AI workloads without compromise?. GMI Cloud delivers:.✅ 45% cost savings.✅ 65% faster performance.✅ True partnership. DM us to learn how we can accelerate your AI journey.
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Looking ahead: Higgsfield is entering major growth phase. From experimentation to production-grade deployment, GMI Cloud scales with their vision. The future of AI video creation is being built on our platform. 🎬.
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"We're building the future of video creation, and GMI Cloud gives us the foundation to do it without compromise. As our needs grow, we know they'll grow with us.". This is what true partnership looks like. 🤝.
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Higgsfield's vision: Making cinematic video creation accessible to everyone. Their intuitive tools + our infrastructure = studio-quality content without technical expertise. Perfect for digital ads, marketing, and social storytelling.
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What makes GMI Cloud different for AI workloads:. 🎯 Purpose-built for generative AI.🏆 NVIDIA Cloud Partner Reference Platform.⚡ Real-time inference optimization.🤝 Technical team extension, not just support. We understand AI infrastructure needs.
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Why traditional cloud falls short for generative AI:. ❌ High costs with rigid pricing.❌ Slow provisioning & generalized support.❌ Limited GPU access & customization.❌ Not optimized for inference-heavy workloads. AI companies need specialized infrastructure.
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The results speak for themselves:. 📉 45% lower compute costs.⚡ 65% reduction in inference latency.📈 200% increase in user throughput capacity. "GMI Cloud meets our needs and partners with us every step". - Alex Mashrabov, CEO
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The solution? GMI Cloud's tailored infrastructure:. ✅ Latest NVIDIA GPUs for smooth rendering.✅ Custom clusters optimized for video workloads.✅ Right-sized resources to eliminate waste.✅ Hands-on partnership, not just a vendor.
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The challenge: Higgsfield needed real-time video generation at scale. Before GMI Cloud:. ⏱️ 24hr model training.⚡ 800ms inference latency.💸 25% monthly cost growth. Generic cloud wasn't cutting it for their demanding AI workloads.
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🚀 Excited to share how @Higgsfield_ai is revolutionizing generative video with GMI Cloud!. 45% lower compute costs + 65% faster inference = cinematic AI video for everyone. Here's how we're powering the future of video creation 🧵
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Great to see the advancements in multimodal models!. Tencent open-sourcing a Text-Video-to-Audio model is a huge gift to builders. The application is only as good as its foundation.
Today we're announcing the open-source release of HunyuanVideo-Foley, our new end-to-end Text-Video-to-Audio (TV2A) framework for generating high-fidelity audio.🚀. This tool empowers creators in video production, filmmaking, and game development to generate professional-grade
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That's all. I am Alex Yeh. If you like this topic:. 1. Follow me（@alex_yehya）.2. Like + share the first post below.
🚀 Microsoft just dropped MAI-1 & MAI-Voice-1 - their first fully in-house trained foundation models. This is huge for the AI landscape.
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MAI-2 is already in development. The AI arms race is heating up, and cloud infrastructure will be more critical than ever. Exciting times ahead!.
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The real story? Microsoft is reducing dependence on OpenAI. After $13B+ invested, they're building their own moat. Smart strategic move.
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