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?? Final Reminder! AI Spotlight in Times Square – Accelerating AI’s ROI Date & Time: March 13, 2025 | 2:00 PM - 6:00 PM EST Location: Times Square Bertelsmann Building, 1540 Broadway, New York How Do You Accelerate AI’s ROI? The future of AI isn’t just about capability—it’s about efficiency. Join Atlas Cloud and top industry leaders today as we unpack how to optimize inference costs, rethink data center design, and drive higher returns. Today’s the day—don’t miss out! Happy Hour from 5:00 PM - 6:00 PM – Drinks, bites, and exclusive AI insights await! Today’s Agenda Highlights: 2:00 PM – Event Kickoff: MC Jason Dotson (Atlas Cloud) sets the stage, followed by an Opening Keynote from Jerry Tang (Atlas Cloud) at 2:05 PM. 2:25 PM – Beyond the Rack: Building Tomorrow’s Data Centers: Hear from Horace Zona (DigitalBridge), Jaskeerat Singh, PMP (Nortek), Jieer Ren, PE, LEED-AP Ren (kW Mission Critical Engineering, Member of WSP Critical Engineering), and Matthew Caldwell (HyperSolutions). Learn how next-gen data centers power trillion-parameter models with scalability and efficiency. 3:15 PM – AI-Powered Capital Allocation: Yin Luo (Wolfe Research, LLC Research) analyzes smart investment strategies for AI growth. 3:50 PM – The SGLang Advantage: Ke Bao and Chenyang Zhao (SGLang and LMSYS) reveal how SGLang’s optimization slashes costs by 22% without compromising performance—perfect for RLHF and beyond. 4:20 PM – AI Cloud Landscape by 2030: Moderator Suzanne Rabicoff leads a powerhouse panel with Graham Locklear (M Search), Dipul Patel (Soluna), Carmen Li (Silicon Data), Bijit Ghosh (Deutsche Bank), and Mohammad Zaman (Washington University of Science and Technology (WUST). Why Attend? Cut AI Costs: See Atlas Cloud’s inference engine in action—outperforming hyperscalers at a fraction of the cost. Scale Without Limits: Explore our 100MW AI data center, built for the future of massive models. High-Impact Networking: Connect with 50+ AI leaders—VPs, CTOs, and Founders from top firms in AI infrastructure, data centers, and investment. Proudly Sponsored by Search | In Partnership with Atlas Cloud Sign in starts at 1:30 PM—arrive early and join us for a transformative afternoon in Times Square! #AI #DataCenters #Innovation #Networking #TechLeadership

Fast, simple, scalable, and SECURE ?? #SOC2 #Security #AI

? What an incredible night of AI, innovation, and connection! ? Last week, we had the pleasure of co-hosting AI Inference: Founders, Executives & VCs at VC Nest in Palo Alto, bringing together over 200 AI leaders, founders, and investors to dive into the future of AI inference. From cutting-edge discussions to high-impact networking, this event truly showcased the power of community in driving AI forward. ?? A huge THANK YOU to The Deep-Tech Community for organizing such a fantastic gathering and to our amazing co-host Arjun Subedi—your dedication made this a standout event! And of course, to everyone who attended—your energy, insights, and passion for AI made this night unforgettable. Let's keep the momentum going! ?? What was your biggest takeaway from the event? Drop your thoughts in the comments! #AI #DeepTech #Networking #VC #TechLeadership

Excited to announce a powerful panel discussion: "AI Cloud Landscape by 2030" ?? Join Graham Locklear (CEO, M Search), Dipul Patel (CTO, Soluna & Lecturer, MIT), and an expert from ScitiX as we explore the evolving AI cloud ecosystem and discuss: ? How neoclouds specializing in AI workloads are changing the competitive landscape dominated by AWS, Azure, and GCP. ? Strategic insights into serverless computing, edge computing, and hybrid cloud strategies. ? How organizations can navigate cloud costs, sustainability, and GPU demand in an ever-evolving market. Featuring diverse perspectives from: Graham Locklear - expert in Cloud leadership recruitment, specializing in AI, ML, and Data infrastructure. Dipul Patel, innovator in sustainable AI infrastructure and green-energy-focused computing solutions at Soluna and MIT Lecturer. A senior representative from Scitix, APAC leaders in high-performance AI computing solutions with cutting-edge serverless and bare-metal GPU infrastructure. Bring your toughest questions about the future of AI cloud talent training and infrastructure strategies! Registration link can be found in the comments below. Follow that link or message us directly if you're interested in attending! #AI #CloudComputing #GTM #Infrastructure #AICloud #AtlasCloud

W're excited to welcome Yin Luo, Vice Chairman of Wolfe Research, LLC, to share his expertise on AI's influence within NYSE-listed companies navigating algorithmic markets! His presentation is tailored for finance professionals, institutional investors, and AI enthusiasts eager to stay ahead in our rapidly evolving financial landscape. If that sounds like you, please RSVP by following the link in the comments! Event Details: Date: March 13, 2025 Time: 2:00 PM – 6:00 PM Location: 1540 Broadway, Suite 10, New York, NY Don't miss this chance to hear from a leader in AI-driven finance. Secure your spot today! #AI #Finance #NYSE #Investing #AtlasCloud

We're VERY excited to announce our partnership with Soluna to bring DeepSeek R1 AI Inferencing to North America. By leveraging 128 NVIDIA H100 GPUs, we're delivering faster, cost-effective AI solutions that ensure data sovereignty and compliance for our users. ???? #AI #DeepSeek #SustainableAI #GPUs #AtlasCloud

How will the industry improve AI’s ROI over the next decade? Let’s break it down. AI models are getting bigger, but scaling alone isn’t the answer. The real challenge is getting more performance for less cost— and that comes down to efficiency across infrastructure and inference. Here’s what top AI leaders are doing: ? Cutting inference costs by 22%— without sacrificing performance. Optimized GPU utilization and better inference workflows are making AI less expensive to run. ? Building for scale— A 100MW AI data center is setting the standard for trillion-parameter models, ensuring AI can grow without hitting a wall. ? Making inference faster and leaner— With tools like DeepSeek R1, firms are reducing latency and improving throughput without overspending on compute. ? Sharing insights with the right people— VPs, CTOs, and data center leaders are meeting to tackle these challenges head-on. Want to see how it’s done? Join us at AI Spotlight in Times Square on March 13, 2025. https://lu.ma/czwc1g28

As recently as last year–slow inference, overloaded GPUs, and rising costs were holding back the viability large-scale model deployment. Traditional parallelism methods couldn't keep up. DeepSeek-V3/R1 solved this with a unique take on Cross-Node Expert Parallelism (EP)— a smarter way to distribute workloads across GPUs. Instead of overloading a few nodes, it spread computation efficiently, reducing latency and maximizing throughput. Communication happened while GPUs compute, so there was no wasted time. Why this matters: ? Faster inference: 73.7k tokens/s input, 14.8k tokens/s output per node costs: More efficient GPU utilization means 5× better cost-effectiveness. ? Scale sans slowdown: Load balancing prevents bottlenecks, keeping every GPU productive . For AI startups, this means cutting compute costs without sacrificing speed. If your model is too slow or expensive to scale, it’s not a product—it’s a prototype. This is how you fix that. See our blog to learn more about #CrossNodeExpertParallelism https://lnkd.in/g5gDK2D3

How will the industry improve AI’s ROI over the next decade? Let’s break it down. AI models are getting bigger, but scaling alone isn’t the answer. The real challenge is getting more performance for less cost— and that comes down to efficiency across infrastructure and inference. Here’s what top AI leaders are doing: ? Cutting inference costs by 22%— without sacrificing performance. Optimized GPU utilization and better inference workflows are making AI less expensive to run. ? Building for scale— A 100MW AI data center is setting the standard for trillion-parameter models, ensuring AI can grow without hitting a wall. ? Making inference faster and leaner— With tools like DeepSeek R1, firms are reducing latency and improving throughput without overspending on compute. ? Sharing insights with the right people— VPs, CTOs, and data center leaders are meeting to tackle these challenges head-on. Want to see how it’s done? Join us at AI Spotlight in Times Square on March 13, 2025. https://lu.ma/czwc1g28

Last Chance to Sign Up – AI Inference & VC Networking AI will evolve further. Inference is going to make that happen. Everyone’s racing to build the most efficient AI infrastructure: ? Scaling models without breaking compute budgets ? Optimizing GPU infra for real-world applications ? Connecting with the right partners to make it happen But the winners won’t just be the ones with the best hardware. They’ll be the ones who can integrate compute, networking, and AI services into a seamless, scalable system. That’s why we’re bringing 40 top AI founders, executives, and VCs together for one night only. ? Meet AI innovators from McKinsey, Stanford, and Berkeley ? Connect with VCs actively funding AI inference and video tech ? Discuss the future of AI scaling, GPU infra, and AI inference at scale This is a flash event with limited seats left. If you’re building in AI, you need to be in the room. ?? Feb 27 | 5-7 PM PST ?? VC Nest (567 University Ave, Palo Alto, CA) Last spots – Priority for AI/video leaders: https://lu.ma/o50hae80 If seats are full, DM us ASAP. We’ll try to make it happen. #AIInference #Networking #PaloAlto #AI