Artificial Intelligence vMind GPU Infrastructure delivers NVIDIA H100 and H200 GPUs as a service for your AI and high-performance computing workloads. You choose between managing the resource yourself, handing management over to the vMind team, or getting a configuration tailored to a specific GPU model. It scales up to 8 GPUs on a single node and up to 64 GPUs in a multi-node cluster; NVLink is used within a node and InfiniBand NDR 400 Gb/s between nodes. All GPUs run in vMind's ISO 27001-certified data centers in Istanbul, and your data does not leave Türkiye.
vMind AI Infrastructure brings together the layers that carry your AI workloads from training to production. For model training, it provides a multi-GPU NVIDIA H100 and H200 cluster of up to 64 GPUs, InfiniBand NDR 400 Gb/s connectivity between nodes and dataset storage with 10 GB/s read speed. For inference, it offers a GPU pool that scales automatically with traffic, a p95 target response time of 200 ms and a 99.99% service level commitment. AI infrastructure is not just GPUs; if the data layer, network and orchestration are not solved, the GPUs sit idle waiting for data. vMind sets up and operates all of these layers in one place, on Istanbul-based infrastructure.
vMind AI Platform brings together, in one place, the layers you need to run artificial intelligence models on your own infrastructure. You access open-source language models through an API, set up a RAG architecture that works with your enterprise documents, and manage the model lifecycle from a single platform. What sets it apart from overseas model APIs is where the data is processed: your requests and responses stay within Türkiye's borders. All platform components run in vMind's Istanbul-based, ISO 27001-certified data centers, and cost remains predictable on a capacity basis.
vMind AI Services are enterprise artificial intelligence applications you can start using without model development. Solutions offered include a virtual assistant that works with your enterprise knowledge base, document AI that automatically extracts data from your documents, and AI agents that carry out multi-step processes. The applications are adapted to your own data and put into operation in about 6 weeks on average.
vMind Managed AI Services carries your artificial intelligence project from the idea stage to continuous operations. With a 4-week assessment, we determine which use case will create value and which architecture will be required, build KVKK and sector-specific compliance requirements into the infrastructure, and once you go into production, we take over operations with a 99.99% availability commitment.
Our hybrid cloud solutions, tailored to the needs of your business, bring together the advantages of both public and private cloud platforms, offering you an agile and flexible cloud experience. 331
The Multi Cloud solution encompasses a combination of services provided by cloud computing, such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Businesses can utilize this solution not only for system backup purposes but also to aggregate multiple cloud providers for various services. 1089
vMind managed services, designed according to the needs of your business, not only address complex processes with strong support but also allow you to increase efficiency, optimize costs, and gain a competitive advantage.
vMind offers your business seamless, reliable, and effective solutions with its years of IT expertise, knowledge, and strong partnership ecosystem.
Benefit from our professional services to manage your workloads
With the vMind NVIDIA H200 Rental service, you access a data center GPU with 141 GB HBM3e memory and 4.8 TB/s bandwidth. In contrast to the H100's 80 GB HBM3 memory, the H200 offers larger and faster memory; it hosts models that do not fit in H100 memory on a single GPU. It removes the memory bottleneck in long-context language model inference workloads. The GPUs run in vMind's Istanbul-based, ISO 27001-certified data centers.
The H200 is advantageous if your model does not fit in 80 GB of memory, if you work with long context windows, or if memory bandwidth is a bottleneck in your inference workload.
If your training workload is compute-heavy and the model fits comfortably in 80 GB of memory, the H100 is the more economical choice. For a detailed comparison of the two cards and to see which one suits which workload: NVIDIA H100 vs H200: What Is the Difference?
Remove the Memory Bottleneck
The NVIDIA H200 allows large models to run on a single GPU. On vMind infrastructure, you can use it for as long as you need, without hardware investment.
You can bring your NVIDIA H200 resource online today. Share your workload, and we will prepare a custom quote by GPU quantity and duration.
You can find answers to frequently asked questions about NVIDIA H200 Rental in the Knowledge Center.
To go to the Knowledge Center, click here.
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Çifte Havuzlar Mh. Eski Londra Asfaltı Cd. D:151/1D, B1 blok No: 201, 34220 Yıldız Teknopark Esenler/İstanbul
0850 333 58-59
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