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Managed GPU accelerated kubernetes and virtual machine clusters at affordable prices.

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TECHNOLOGIES
Managed Kubernetes
Fully Managed Kubernetes Clusters
Government, Education grade security
SOC compliant platform.
ML Training Platform
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Data Ingestion
Model Selection from Hugging Face
Experiment Tracking, Hyperparameter Tuning
Team Management
Curated HealthCare Data Sets
Physician Curated
Diverse Clinical Specialties
Real World Health Care Challenges
Compute Infrastructure
Data Care provides 1000's of nodes based on NVIDIA A4000 with Ampere architecture with more than 6000 cuda cores. Our newer A6000 accelerators are based on Ada LoveLace generation with 18000 cuda cores per accelerator. With our platform, you can choose flexible ratio of RAM to GPU vRAM depending on your needs, be it inference or large scale distributed training. Weather you need RAM 1.5X vRAM for inference or 6X for large scale distributed training, you are covered.

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Storage
Data Care Provides high speed NVME and SATA pools for storage. Our Multi PetaByte High speed NVME pool is managed by LongHorn. All our EBS volumes are replicated with 3 copies with built-in self healing. We also use SATA drives that serve primarily as low cost storage pools.



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Network
Compute nodes are equipped with multiple Optic Trans receivers with 100 Gbps bandwidth in addition to dual Gig NICs for management. Densely connected Mellanox switching fabric creates HPC grade "Pruned 3D Torus" Non blocking network is available for enterprise customers. Customers are provided dedicated compute resources with physical as well as software based isolation. We also provide dedicated static IPs for enterprise customers.
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Meet Our Team
  • Prasad Reddy, MD
  • Mark Johnson, MD
  • Senthil Nachimuthu, MD
Our Clients Love Us
  • Raghu
    We were impressed with Data Care team compared in performance against AWS. We saved a lot of pricing and got performance boost with NVME and high speed clusters.
  • Akshay
    CTO of DataCosmos.io
    We started working with Data Care for our company's data analytics. We used Cuda and Rapids for a large dataset and the performance is mind blowing compared with Pandas and Spark.
  • Rajesh Vukkala
    Physician at Medicover
    We used Data Care platform for labeling of large xray dataset. Pretty fast performance.

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