Today, we’re launching a new AI cluster in Finland and introducing two cutting-edge GPUs. These updates to Gcore Edge AI continue our commitment to providing market-leading access and power for AI training and edge inference.
72-Server NVIDIA H100 Cluster in Finland
We’re excited to announce the launch of our powerful new NVIDIA H100 GPU cluster in Finland! This cutting-edge cluster features 72 servers equipped with 576 NVIDIA H100 GPUs, connected by lightning-fast Infiniband with a staggering 3.2 Tbps bandwidth. This boosts our existing H100 capacity in Luxembourg.
As our highest capacity cluster yet, this new installment in Finland is designed to support the most demanding AI and high-performance computing workloads. With enhanced scalability, speed, and efficiency, it opens the door to groundbreaking advancements in AI research, machine learning, and data-intensive applications. Finland is now home to one of the most advanced computing systems in the world!
Reserve your H100 GPUs in Finland or Luxembourg now. For Finland, get in touch, and we’ll set you up. For Luxembourg, you can opt to self-sign up or talk to the team.
GB200 and H200 GPUs Available Now in Luxembourg
We are now offering two new GPUs as part of our NVIDIA lineup: the GB200 and H200. These powerful additions to the company’s lineup are designed to meet the evolving demands of AI inference, training, and edge computing. Both GPUs push the boundaries of performance, helping businesses accelerate their AI initiatives while scaling up their infrastructure to handle the complexities of modern workloads. Both GPUs are available on demand in our Luxembourg cluster.
As the latest-gen GPUs, the GB200 and H200 both offer the following advantages:
- Versatility across AI workloads: From cloud data centers to edge deployments, these GPUs offer solutions for a variety of AI tasks, from inference to large-scale training.
- Outstanding performance: Both GPUs leverage cutting-edge architectures (Blackwell and Hopper) to maximize performance while maintaining efficiency.
- Futureproofing: Adding the GB200 or H200 to your infrastructure means your business can scale and adapt as AI technology evolves.
- Energy efficiency: Both GPUs are designed with energy efficiency in mind. They reduce operational costs while delivering powerful AI capabilities.
To order your GB200 or H200 GPUs, get in touch with us today.
Introducing the GB200: The Powerhouse for Cloud AI
The GB200 GPU, part of NVIDIA’s advanced Blackwell architecture, is designed specifically for handling heavy AI and machine learning workloads in the cloud. Its versatility makes it an ideal choice for tasks that require high compute power, such as AI training, data processing, and inference at scale. The GB200 is built to efficiently manage the immense data volumes and complex computations typical in cloud data centers, providing seamless scalability.
Unleashing Real-Time AI with the H200
The H200 GPU is focused on real-time AI processing and low-latency inference, making it ideal for edge AI. It allows businesses to deploy AI models closer to the source of data, reducing latency and speeding up decision-making processes. Designed to support edge computing environments, the H200 is perfect for applications that demand quick responses, such as autonomous vehicles, smart manufacturing, and AI-powered IoT devices. Learn more in our article about maximizing AI and HPC workloads with the H200.
Conclusion
The NVIDIA GB200 and H200 GPUs are game-changers for businesses looking to stay ahead in the AI revolution. The GB200’s unparalleled cloud performance and the H200’s real-time edge capabilities mean they’re unmatched tools for any organization aiming to scale AI operations efficiently. With these GPUs, we continue to empower businesses to build a robust, future-proof AI infrastructure that meets today’s and tomorrow’s demands.
Reserve your H100 or order GB200 or H200 access today. Looking for guidance on which is right for your business? Our team is available 24/7 to help you through the decision-making process. Just reach out.
