Company announcement
Cyfuture.ai Announces Availability of 30 NVIDIA B300 GPU Nodes, Go Live on 1 October 2026
New high-performance GPU infrastructure, backed by a 100 MW liquid-cooled data center, is designed to help enterprises accelerate AI training, inference, generative AI, LLMs and compute-intensive workloads.
Noida, Uttar Pradesh Sep 2, 2026 (Issuewire.com) - Cyfuture.ai today announced the availability of 30 NVIDIA B300 GPU nodes, with the new GPU infrastructure scheduled to go live on 1 October 2026. The deployment is supported by Cyfuture.ai's 100 MW liquid-cooled data center infrastructure, built to address the growing power, cooling and compute requirements of next-generation AI workloads.
The new GPU capacity is designed to provide enterprises, AI developers, research organizations and technology teams with access to high-performance computing resources for demanding artificial intelligence and high-performance computing applications.
As AI models continue to grow in size and complexity, traditional data center architectures face increasing challenges related to power density, thermal management and efficient infrastructure scaling. Cyfuture.ai's 100 MW liquid-cooled data center is designed to support high-density GPU deployments and the infrastructure requirements of advanced AI and HPC environments.
With the B300 GPU infrastructure scheduled to go live on 1 October 2026, organizations can prepare for access to high-performance compute capacity for emerging AI initiatives and production workloads.
Built for Next-Generation AI Workloads
Cyfuture.ai's NVIDIA B300 GPU infrastructure is designed to support a broad range of workloads, including:
- Large Language Model (LLM) training and inference
- Generative AI applications
- AI model development and experimentation
- High-performance computing (HPC)
- Enterprise AI applications
- AI agents and intelligent automation
- Data-intensive and compute-intensive workloads
- Advanced machine learning and deep learning
- AI-powered analytics and simulation
The infrastructure is designed to provide organizations with scalable GPU compute while addressing the increasing infrastructure demands associated with advanced AI workloads.
Powered by 100 MW Liquid-Cooled Data Center Infrastructure
The NVIDIA B300 GPU deployment forms part of Cyfuture.ai's broader investment in high-density AI infrastructure, including a 100 MW liquid-cooled data center.
Liquid cooling is increasingly important for next-generation GPU environments because high-performance accelerators generate substantial heat and require efficient thermal management. By incorporating liquid-cooling technology into the data center infrastructure, Cyfuture.ai is building an environment designed to support higher-density compute deployments while addressing the cooling requirements of advanced GPU systems.
The 100 MW capacity provides a foundation for scaling AI infrastructure and supporting future deployments as demand for GPU compute continues to increase.
The combination of high-performance NVIDIA GPU infrastructure and liquid-cooled data center capabilities is intended to help organizations deploy compute-intensive workloads with greater infrastructure efficiency and scalability.
30 NVIDIA B300 GPU Nodes Now Available
The newly announced capacity includes 30 NVIDIA B300 GPU nodes, giving organizations an opportunity to secure high-performance GPU resources for upcoming AI projects, model development and production workloads.
The infrastructure is scheduled to go live on 1 October 2026, providing customers with a defined timeline to plan their AI infrastructure requirements and prepare workloads for deployment.
"AI innovation is increasingly dependent on access to powerful, scalable and purpose-built compute infrastructure. The availability of 30 NVIDIA B300 GPU nodes, supported by our 100 MW liquid-cooled data center infrastructure, represents an important step in expanding access to high-performance AI compute," said Anuj Bairathi, CEO, Cyfuture.ai.
Designed for Organizations Scaling AI
As AI workloads become increasingly sophisticated, organizations require infrastructure capable of supporting larger models, higher-performance training environments and demanding inference workloads.
Cyfuture.ai's B300 GPU offering, supported by its liquid-cooled data center infrastructure, is aimed at organizations seeking to:
- Accelerate AI model development
- Reduce time-to-compute for demanding workloads
- Scale GPU capacity for growing AI requirements
- Support production-grade AI applications
- Run advanced training and inference workloads
- Build and deploy next-generation generative AI solutions
- Support high-density GPU computing environments
- Prepare infrastructure for increasingly demanding AI workloads
Rent NVIDIA B300 GPU Infrastructure
Organizations looking to secure NVIDIA B300 GPU capacity can connect with the Cyfuture.ai team to discuss requirements, availability and deployment options.
30 NVIDIA B300 GPU Nodes are now available, with infrastructure scheduled to go live on 1 October 2026 and supported by Cyfuture.ai's 100 MW liquid-cooled data center infrastructure.
About Cyfuture.ai
Cyfuture.ai provides AI-focused cloud and GPU infrastructure, including GPU as a Service (GPUaaS), designed to help businesses, technology companies, developers and enterprises build, train and deploy demanding AI workloads.
Its infrastructure portfolio includes high-performance GPU compute powered by NVIDIA H100, NVIDIA RTX PRO 6000, NVIDIA L40S and AMD Instinct MI300X, along with advanced cloud and data center capabilities designed to support artificial intelligence, machine learning, generative AI, high-performance computing and other compute-intensive applications.
Cyfuture.ai is also developing 100 MW liquid-cooled data center infrastructure to support the increasing power density, thermal management and scalability requirements of next-generation GPU and AI computing environments.
Through scalable GPU infrastructure, cloud services and advanced data center capabilities, Cyfuture.ai helps organizations access the computing resources required to develop, train and deploy increasingly sophisticated AI workloads.
Media Contact
Cyfuture.ai
Email: [email protected]
Website: cyfuture.ai
Source :Cyfuture AI
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