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Aolani and FriendliAI partner to advance AI inference at scale. Sep 10, 2026 SINGAPORE - Media OutReach Newswire - 10 September 2026 - Aolani, a Singapore-founded neocloud powering AI growth, today announced a partnership to supply GPU cloud infrastructure to FriendliAI, the San Francisco-headquartered inference cloud for frontier AI to support the rapidly growing demand for inference services. The global market for AI inferencing is expanding quickly as AI applications become part of everyday business workflows and organisations move from experimentation to deployment at scale. At the forefront of production-scale AI, FriendliAI serves this exact demand to help developers and enterprises deploy open-weight and custom AI models. FriendliAI was founded by researchers who invented continuous batching, which is now a standard across AI inference serving. The company has built its inference stack end to end, from optimised GPU kernels to global distribution, so that production AI workloads run fast and reliably at scale. FriendliAI consistently ranks as one of the fastest inference providers on OpenRouter, with enterprise clients including LG, Kilo Code, and Liner running their production inference on the platform. Efficient time-to-value and dependable compute are increasingly important to keep services responsive as usage grows. As access to reliable compute infrastructure becomes a strategic differentiator for companies scaling production workloads, more AI natives are turning to Asia for high-performance compute capacity, attracted by the region's expanding digital infrastructure, strategic connectivity, and growing AI ecosystem. As one of the leading neoclouds offering purpose-built next-generation AI infrastructure, Aolani helps AI natives scale more efficiently. Aolani's infrastructure capabilities across orchestration, automation and lifecycle management actively supports FriendliAI's services. This partnership equips FriendliAI with the compute to serve the rapid customer demand, both across the globe and increasingly in Asia. Nicholas Chia, Chief Executive Officer at Aolani said: "We're seeing inference needs grow faster than companies can find compute to support and service their customers. To narrow the supply and demand gap, we actively partner with companies like FriendliAI to deliver compute capacity on time, at scale, and to rigorous standards. We look forward to partnering with the FriendliAI team to grow its services to bring fast and reliable inference to developers worldwide." Byung-Gon Chun, Founder and CEO of FriendliAI said: "We are seeing exponential growth in demand for our frontier AI inference services. Businesses need the freedom to choose the AI models that best suit their applications and the ability to run them efficiently in production. Our job is to deliver high-performance, reliable inference so developers can focus on building their AI applications. Aolani stood out as a trusted infrastructure partner that can help us scale at the pace our customers need. We look forward to working with Aolani to support our mission." Media Contact H/Advisors on behalf of Aolani Hashtag: #Aolani #Neocloud #FriendliAI #AIinference #Inferencecloud The issuer is solely responsible for the content of this announcement. About Aolani. Where AI gets built in Asia. Founded in Singapore, Aolani is backed by compliant and purpose-built infrastructure to deliver the performance capabilities for next-generation AI. Aolani's AI factories enable organisations to build with confidence, scale ambitiously, and move at hyper-speed in the world's fastest-growing AI market. For more information, visit www.aolanicloud.com and follow @AolaniCloud on LinkedIn. About FriendliAI. FriendliAI is the inference cloud for frontier AI. Headquartered in San Francisco with a team in Seoul, FriendliAI runs open models in production at scale for AI-native startups and enterprises through its Model APIs, Dedicated Endpoints, and Bring Your Own GPU (BYOG) offering. The team built the full inference stack end to end, delivering the speed, reliability and efficiency that agentic AI workloads demand. For more information, visit friendli.ai. Looking for Local Media Coverage in the United States of America? We have a place for all 50 States at the State News Network

How Kilo Code and FriendliAI bring open source AI coding agents to production with NVIDIA Nemotron. * Kilo and FriendliAI are partnering to make production-grade AI coding agents faster, more accurate, and significantly more cost-efficient with NVIDIA Nemotron open models. * Configure Nemotron 3 Ultra in Kilo Code using FriendliAI as your inference provider, directly inside your IDE. * Using FriendliAI, Kilo achieved up to 7x faster inference compared to several other providers and cut costs by up to 72% on complex agent workloads by routing to NVIDIA Nemotron 3 Ultra. Introduction. Kilo and FriendliAI are partnering to help engineers build AI agents at scale with NVIDIA Nemotron open models. Production agents thrive when built using specialized models, both closed and open, and its priority is to make developing high-performance agents accessible, performant, and cost-effective. NVIDIA is a leader in open models that enable developers, enterprises and nations to build AI applications and agents that they can trust, control, and customize. NVIDIA open Nemotron family combines strong reasoning performance with efficient deployment, providing open weights, training data, and recipes for building specialized AI agents. The Nemotron family offers reasoning models in 3 sizes: Nano, Super, and Ultra for different deployment needs. Nano provides cost efficiency with high accuracy specialized sub-agents, Super delivers highest efficiency with leading accuracy for reasoning and tool calling for multi-agent applications, and Ultra is designed for applications demanding the highest reasoning accuracy for complex agentic tasks. Nemotron 3 Ultra, newest member of the Nemotron family, is a 550B-parameter Mixture-of-Experts model with 55B active parameters, built for frontier reasoning and orchestration in agentic systems. Kilo is an all-in-one agentic engineering platform for software developers. Their open-source coding harness, Kilo Code, is a flexible AI coding assistant centered on model freedom - giving developers the ability to plug in their existing model providers alongside open-weight models. You can experience top open models on Kilo Code, like Nemotron 3 Ultra, directly in your terminal or VS Code. FriendliAI sits directly within Kilo's orchestrator and maximizes efficiency. Its inference platform is optimized for real-time coding workloads, giving Kilo Code the speed and efficiency it needs to scale. Through continuous batching, also known as iteration batching, and memory optimization, FriendliAI enables Kilo Code to feed massive multi-file codebases into NVIDIA Nemotron models without degrading performance, running out of memory, or spiking costs. Together, Kilo, FriendliAI, and NVIDIA provide an open stack for building production AI coding agents - from intelligent orchestration and optimized inference to frontier reasoning. In this blog, FriendliAI Inc. will walk through configuring Kilo Code with FriendliAI and Nemotron 3 Ultra in your existing workflow. Configure NVIDIA Nemotron 3 Ultra in Kilo Code with FriendliAI. Kilo Code is built around a simple idea: developers should be free to choose the models and infrastructure that best fit their workflows. Rather than locking teams into a single AI provider, Kilo Code enables developers to connect their preferred inference platforms and open models directly into their coding environment. By combining Kilo Code, NVIDIA Nemotron 3 Ultra, and FriendliAI, developers gain access to a frontier reasoning model optimized for complex software engineering tasks while maintaining the performance, scalability, and cost efficiency required for production workloads. Connecting FriendliAI to Kilo Code. Getting started requires only a few configuration steps: * Deploy Nemotron 3 Ultra on FriendliAI Begin by deploying Nemotron 3 Ultra through the Friendli Suite. Once deployed, you'll receive an Endpoint ID and API credentials that can be used by external applications. 2. Configure FriendliAI as a Custom Provider in Kilo Code Within Kilo Code, navigate to the Provider settings and select a Custom Provider configuration. Enter your FriendliAI endpoint URL, Endpoint ID, and API key to connect your deployment. 3. Start Building with Nemotron 3 Ultra After configuration is complete, Nemotron 3 Ultra becomes available directly within Kilo Code's model selector. Developers can immediately begin using the model for code generation, repository analysis, debugging, tool use, long-context reasoning, and multi-step agentic workflows - all without leaving their IDE. With the integration complete, Kilo Code can route requests directly to your FriendliAI deployment, providing access to Nemotron 3 Ultra inside your existing development workflow. Why FriendliAI for Nemotron 3. Large reasoning models are most valuable when they can process substantial context, reason across multiple files, and respond quickly enough to keep developers in flow. Running these workloads efficiently requires more than simply hosting a model. Production inference depends on optimized scheduling, batching, memory management, and efficient GPU utilization. FriendliAI's inference platform is optimized for high-throughput, low-latency agentic workloads. This enables coding agents powered by NVIDIA Nemotron 3 Ultra to work with large codebases and long-context prompts while maintaining responsiveness and controlling infrastructure costs. How Kilo uses FriendliAI to optimize cost and performance. Over the past year, Kilo Code has tested several different inference providers hosting a range of both open and proprietary models. According to Kilo's internal evaluations using GLM-5 usage, they were especially impressed by FriendliAI, which consistently delivered up to 7x faster inference than several other providers while significantly reducing error rates. FriendliAI is now a core component of the Kilo stack, enabling high-performance access to the latest open models. To further reduce friction, Kilo developed an auto-routing feature that automatically selects the optimal model for specific tasks like planning, coding, or data analysis. This routing is organized into four distinct modes: * Auto: Frontier, which offers maximum capability with the best available models when cost is not an issue. * Auto: Balanced, which offers strong performance at a lower cost. * Auto: Efficient, which offers the lowest cost per task, with capability matched to difficulty. * Auto: Free, which features the best available free models. These modes leverage models from labs like OpenAI and Anthropic alongside open models from MiniMax, Z.ai, Alibaba Qwen, and NVIDIA. The centerpiece of this collaboration is NVIDIA Nemotron 3 Ultra, an open model built for long-running agents. Nemotron 3 Ultra, recently led the open-weight category of PinchBench leaderboard, a benchmark that evaluates models' performance on real-world agentic tasks in OpenClaw. By intelligently routing complex reasoning tasks to Nemotron 3 Ultra, Kilo reports cost reductions of up to 72% on complex agentic coding tasks while maintaining frontier-level performance. As agentic engineering continues to evolve to support an even wider range of tasks, Kilo is excited to continue working with both FriendliAI and NVIDIA to optimize cost and performance hand-in-hand. This strategic partnership integrates Kilo Code's sophisticated agent orchestration layer with FriendliAI's optimized inference platform and NVIDIA's remarkably flexible Nemotron open models. There's no longer a reason to overpay for dependable AI. Build the stack that works for you. Production AI coding agents work best when each layer of the stack handles what it's built for. Kilo Code orchestrates across models intelligently, FriendliAI delivers production-grade inference performance that keeps developers productive. NVIDIA Nemotron 3 Ultra open model provides advanced reasoning that you can customize, fine-tune, and deploy for specialized AI agents. Together, they're already powering real results - Kilo users are running 7x faster on FriendliAI and cutting costs by up to 72% on complex agentic tasks by routing to Nemotron 3 Ultra. Open, optimized AI development is no longer a trade-off between performance and price. Together, the three layers give developers everything needed to ship production-grade AI coding agents without compromising on performance or cost, while leaving more room for model freedom. Explore NVIDIA Nemotron 3 Ultra, bring frontier open models directly into your IDE with Kilo Code, and get started with FriendliAI to deploy and serve your favorite models with optimized inference.