Nscale Raises $2 Billion in Series C — the Largest in European History
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Unlock high-performance AI, ML, and HPC workloads on bare-metal infrastructure accelerated by NVIDIA DGX Vera Rubin NVL72, GB300 NVL72, H100, H200, and GB200 GPUs — delivering unmatched scalability, energy efficiency, and fully integrated enterprise solutions
Nscale's GPU Nodes offering allows users to access powerful graphics processing units (GPUs) remotely over the internet. At Nscale, we provide on-demand access to high-performance GPUs for tasks such as AI training, rendering, and scientific computing. Users can easily provision and scale GPU resources based on their specific needs.
Nscale offers a range of GPUs to suit different requirements, including NVIDIA GPUs. Our lineup includes models such as the NVIDIA A100, H100, H200, GB200, and V100. These GPUs are optimised for various workloads, from deep learning and machine learning to graphics rendering and scientific simulations.
By leveraging GPU Nodes from Nscale, users can enjoy several benefits, including:
1. Access to high-performance GPUs without the need for upfront hardware investment.
2. Scalability to easily adjust GPU resources based on workload demands.
3. Cost-effectiveness by paying only for the GPU resources used.
4. Flexibility to choose from a variety of GPU models to suit specific application requirements.
5. Simplified management and provisioning of GPU resources through our user-friendly platform.
6. Reliable performance and uptime, backed by Nscale's robust infrastructure and support services.
GPU Nodes from Nscale is beneficial for a wide range of industries, including:
1. Artificial Intelligence (AI) and machine learning research and development.
2. Gaming and entertainment for graphics rendering and simulation.
3. Healthcare for medical imaging and analysis.
4. Finance for quantitative analysis and risk modeling.
5. Automotive for autonomous driving and vehicle simulation.
6. Aerospace and engineering for simulation and modelling.
Security is a top priority at Nscale, and we employ industry-leading security measures to protect our GPU infrastructure and user data. Our platform features robust encryption, access controls, and network security protocols to ensure the confidentiality, integrity, and availability of GPU resources.
Yes, Nscale offers a trial period for users to experience our GPU Nodes platform before making a commitment. During the trial period, users can explore our platform, provision GPU resources, and test their workloads to ensure compatibility and performance. Contact our sales team to inquire about our trial options and get started today.
Cost per token is an important metric for evaluating AI inference TCO. It is the measure of what your infrastructure actually delivers. Input metrics like hourly GPU pricing or FLOPs per dollar tell you what you're spending or what's theoretically possible, but cost per token captures a broader picture: hardware performance, software optimization, and real-world utilization in a single number. Nscale's full-stack approach is designed to maximize token throughput across every deployment model, from multi-year private cloud to self-serve on-demand, giving you more useful output from your budget.
Nscale's vertically integrated, full-stack approach is engineered to maximize delivered token output. Built on the latest architectures, including the NVIDIA Blackwell and NVIDIA Blackwell Ultra platforms, Nscale combines infrastructure efficiency with software optimization to drive down cost per token at every layer. For consumption-based customers, this translates directly into better economics per token. For reserved deployments, it means more useful output from every GPU-hour under contract.
