Deep64, a GPU Cluster of eight NVIDIA HGX H100 GPUs, is designed to propel your deep learning and foundational model training to unprecedented heights. This dedicated cluster boasts a configuration of 64 NVIDIA H100 GPUs, built on Hopper Architecture and known for their exceptional processing power. Each 8xH100 GPU node features up to 640 GB of GPU memory and 24 TB/s of aggregate memory bandwidth, delivering unmatched acceleration. Additionally, Deep64 leverages InfiniBand connectivity, ensuring seamless data flow between GPUs. This potent combination provides unparalleled computational power and efficient communication, empowering you to tackle even the most demanding AI projects with ease. Deep64 also offers remarkable scalability, allowing you to seamlessly grow your infrastructure as your AI workloads evolve, scaling up to 256 H100 GPUs without hardware bottlenecks. You can now rent Deep64, giving your team instant, on-demand access to world-class GPU infrastructure without upfront capital investment.
While Deep64 excels at several things, here its applications extend beyond these core functionalities. Here are some specific use cases that showcase Deep64's versatility and potential:
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We are using NVIDIA certified hardware for GPU accelerated workloads.
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Deep64 is a high-performance GPU cluster comprising 64 NVIDIA H100 GPUs, built on NVIDIA HGX H100 systems. It is designed for advanced AI model training, deep learning, and large-scale simulation workloads.
Deep64 is ideal for AI researchers, ML engineers, and enterprises working on foundation models, LLMs, generative AI, scientific research, and other compute-intensive tasks that demand high throughput and scalability.
Deep64 offers InfiniBand connectivity, full NVLink interconnects within each 8xH100 node, and massive 640 GB GPU memory per node, providing ultra-low latency and high-bandwidth communication between GPUs—essential for training massive models efficiently.
Yes, you can rent Deep64 on-demand, giving you flexible access to state-of-the-art infrastructure without the need for large upfront investment or long-term commitment.
Deep64 can be scaled from 64 up to 128 NVIDIA H100 GPUs, supporting growing compute needs for enterprise and research-grade AI workloads.
Deep64 is perfect for training LLMs, running multimodal AI models, scientific simulations, climate modeling, drug discovery, and any workload requiring exceptional compute and memory bandwidth.