Leverage the power of NVIDIA A100 and H100 GPUs to accelerate AI/ML workloads. These high-performance GPUs are designed for large-scale data processing and deep learning applications.
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Handle large datasets and complex models with up to 640GB of RAM, ensuring faster processing and optimal performance for memory-intensive AI applications.
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Speed up data access with NVMe storage, designed for rapid reading and writing, perfect for AI/ML datasets and real-time data processing.
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Pre-configured ML environments with Jupyter Hub make it easier for data scientists and ML engineers to run experiments, access datasets, and deploy models without hassle.
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Use Kubernetes to deploy AI/ML models at scale, ensuring seamless performance and easy management of your production environment.
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We migrated from AWS and cut our cloud bill by 60% while getting better performance.
99.99% uptime isn’t marketing speak here. It’s real. We’ve had zero downtime in 18 months of operation.
The transparent pricing model is refreshing. No surprise bills, no complex calculators. Just honest pricing.