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Together AI provides open-source AI tools and decentralized cloud services to train, fine-tune, and deploy generative models for researchers, developers, and organizations. It runs tasks in the cloud where users run training jobs, manage model versions, and deploy applications via subscriptions and usage fees. It differentiates itself by prioritizing open-source, transparency, and a decentralized cloud approach instead of a proprietary stack. Its goal is to broaden access to powerful AI and build open, verifiable AI systems that benefit society through shared technology.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Series C
Total Funding
$1.3B
Headquarters
Menlo Park, California
Founded
2022
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Total Funding
$1.3B
Above
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Funded Over
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India's Larsen and Toubro has secured an order worth up to 150 billion rupees ($1.57 billion) from US-based cloud platform Together AI to host an AI data centre using Nvidia's high-performance chips. The company's shares rose as much as 1.2% in midday trade following the announcement. The order, secured by L&T's AI infrastructure subsidiary LTN Compute, ranges between 100 billion and 150 billion rupees and marks L&T's entry into the AI factory business. The centre will be hosted at the firm's Vyoma.AI unit in Chennai and will have a capacity of 10,000 Nvidia B300 chips. L&T described this as the largest such deployment in India. The facility will support Together AI's cloud platform for AI inference, fine-tuning, and training.
IBM signed a $240 million deal with Together AI to build an Nvidia-powered AI inference cluster on IBM Cloud, announced 11 August. The cluster will use roughly 2,000 Nvidia Blackwell 300 chips and is expected to sell out two to three months before going live. The deal comes as IBM faces challenges turning scattered growth into sustained momentum. Software revenue rose 5% year-over-year in the most recent quarter, with Red Hat up 11%. However, overall revenue grew just 1% to $17.2 billion in the quarter ended 30 June, prompting IBM to cut full-year guidance from more than 5% growth to 4-5%. IBM shares have fallen 33% from their 52-week high and remain down 19% for the year.
IBM and Together AI sign $240 mn deal to build NVIDIA B300 inference cluster. Together AI will use the infrastructure to increase inference capacity and bring down the cost of serving open-source models to enterprise customers. AUGUST 11, 2026, 7:23 PM IBM and Together AI have signed a multi-year $240 million agreement to deploy a large cluster of NVIDIA HGX B300 systems on IBM Cloud, with the infrastructure expected to be available in the first quarter of 2027. Together AI will use the cluster to provide inference for open-source AI models. The deployment will be the first dedicated large-scale inference cluster on IBM Cloud using NVIDIA HGX B300 systems and NVIDIA Spectrum-X Ethernet networking. The companies said the infrastructure will help Together AI increase inference capacity while reducing the cost of serving AI models to enterprise customers. "Enterprises want the performance of the best frontier models without the closed-model price tag, and that only works if the infrastructure underneath is fast and reliable at scale," said Vipul Ved Prakash, CEO of Together AI. "Working alongside IBM with NVIDIA gives us that foundation. This cluster lets us bring production-grade inference to more companies, faster, and it's a big step in our push to make open-source AI the obvious choice for enterprises," he added. Together AI said its inference business now processes 400 trillion tokens a month. The company raised $800 million in a Series C round at an $8.3 billion valuation, with the funding going towards its AI Native Cloud. Its platform covers inference, model training, fine-tuning and agentic workflows. The company has positioned open-source models as an alternative to closed AI systems, with developers able to build applications using modular model and infrastructure stacks. Together AI selected IBM and NVIDIA based on their infrastructure roadmaps and ability to provide GPU capacity at the pace required for its expansion. The companies also pointed to the cost of serving tokens as a key consideration. The cluster will use NVIDIA HGX B300 systems connected through NVIDIA Spectrum-X Ethernet networking. NVIDIA said its B300 platform can deliver 30 times more AI factory output than prior generations. IBM said the infrastructure will also give Together AI a path into the enterprise market by combining its inference platform with IBM Cloud infrastructure. "Enterprises are in a race to adopt agentic AI at scale to drive real business outcomes," said Alan Peacock, General Manager of IBM Cloud. "IBM and NVIDIA are delivering scalable, economical, enterprise-grade AI infrastructure that can help Together AI accelerate innovation for the next generation of AI infrastructure." The deal also expands an existing collaboration between IBM and NVIDIA. The companies have been working across GPU-native data analytics, unstructured data extraction, on-premises and cloud infrastructure, and consulting services. Dion Harris, Senior Director of HPC and AI Infrastructure Solutions at NVIDIA, said the infrastructure would help enterprises deploy open-source AI for real-time services. "AI factories are becoming essential enterprise infrastructure - like electricity and telecommunications - turning compute and data into intelligence," Harris said. Your reaction Discussion. No comments yet - be the first to share your view.
IBM and Together AI Sign Multi-Year Agreement to Scale Open-Source AI Inference with NVIDIA AI Infrastructure on IBM Cloud. Aug 11, 2026, 08:00 ET First large-scale inference cluster with Together AI on IBM Cloud using NVIDIA HGX B300 systems to help enterprises run AI workloads, designed for fast and efficient production ARMONK, N.Y. and SAN FRANCISCO, Aug. 11, 2026 /PRNewswire/ - IBM (NYSE: IBM) announced a collaboration with Together AI to deliver IBM and NVIDIA AI infrastructure. Under a multi-year $240M agreement between IBM and Together AI, IBM is positioned to deploy a large cluster of NVIDIA HGX B300 systems on IBM Cloud with expected availability in Q1 2027. Together AI will use this cluster to provide open-source model inference. This deployment is the first dedicated, large-scale cluster built for inference on IBM Cloud using HGX B300 systems and NVIDIA Spectrum-X(TM) Ethernet networking. According to NVIDIA, it is built to deliver 30x more AI factory output compared to prior generations. This collaboration aims to enable Together AI to deliver better performance and token economics to enterprises as they look to efficiently scale their AI deployments. Together AI is built on the principle that open-source models are essential for the future of AI and developers should be able to build using open, modular stacks. The company recently raised an $800M Series C financing round at an $8.3B valuation to expand its AI Native Cloud and its platform spans capabilities across inference, training, fine tuning, and agentic workflows. The company reports that it has seen significant momentum for its inference product, now serving 400 trillion tokens monthly. Together AI selected IBM with NVIDIA because of their innovative product roadmaps and their ability to deliver GPU capacity at the pace required for rapid AI scaling and lowest token cost. Building on IBM's expertise in delivering enterprise-grade cloud capabilities, this collaboration aims to help Together AI to continue its expansion into the enterprise space while making open-source AI more accessible to developers and enterprises around the world. "Enterprises want the performance of the best frontier models without the closed-model price tag, and that only works if the infrastructure underneath is fast and reliable at scale," said Vipul Ved Prakash, CEO at Together AI. "Working alongside IBM with NVIDIA gives us that foundation. This cluster lets us bring production-grade inference to more companies, faster, and it's a big step in our push to make open-source AI the obvious choice for enterprises." IBM and NVIDIA Expand Collaboration to Power the Next Wave of AI Innovation "Enterprises are in a race to adopt agentic AI at scale to drive real business outcomes," said Alan Peacock, General Manager of IBM Cloud. "IBM and NVIDIA are delivering scalable, economical, enterprise-grade AI infrastructure that can help Together AI accelerate innovation for the next generation of AI infrastructure." "AI factories are becoming essential enterprise infrastructure - like electricity and telecommunications - turning compute and data into intelligence," said Dion Harris, Senior Director, HPC and AI Infrastructure Solutions, NVIDIA. "With NVIDIA HGX B300 systems and NVIDIA Spectrum-X Ethernet networking on IBM Cloud, IBM and Together AI will deliver an accelerated computing platform to help enterprises deploy open-source AI with the performance, efficiency and scale required for real-time AI services." This work is the latest example of a larger collaboration between IBM and NVIDIA, who continue to work together to advance AI across infrastructure and software, to deliver performance and efficiency for enterprise and startup clients. A hybrid environment on IBM Cloud powered by NVIDIA GPUs connected with NVIDIA Spectrum-X Ethernet networking and Together AI's inference platform gives organizations a reliable foundation to build, deploy and scale AI systems. Additionally, IBM and NVIDIA recently announced progress across GPU-native data analytics, unstructured data extraction, on-premises and cloud infrastructure, and consulting services. These advancements are designed to help organizations operationalize AI at scale. For more information about the IBM and NVIDIA collaboration, visit www.ibm.com/products/gpu-ai-accelerator/nvidia. Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. About IBM IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain a competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information. About Together AI Together AI is the AI Native Cloud, combining state-of-the-art open-source models, high-performance infrastructure, and frontier research in AI efficiency and scalability. Founded in 2022, Together AI powers over a million of developers and some of the world's most demanding AI workloads, delivering production-scale inference, training, and reinforcement learning for the next generation of AI-native companies. SOURCE IBM
Together AI unveils advanced autoscaling for LLM inference. Together AI introduces autoscaling features tailored for large language models, optimizing GPU use and managing latency during traffic spikes. (Read More)
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Series C
Total Funding
$1.3B
Headquarters
Menlo Park, California
Founded
2022
Find jobs on Simplify and start your career today