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Performance-Intensive Computing as a Service (PICaaS)Adaptive Computing

Cloud-based HPC, AI, ML, and analytics platform offering compute, storage, and software for scalable, cost-effective performance-intensive workloads.

Vendor

Vendor

Adaptive Computing

Company Website

Company Website

PICaaS-Diagram-1.pdf
PICaaS-Diagram.pdf
Product details

Performance-Intensive Computing as a Service (PICaaS) by Adaptive Computing is a comprehensive, cloud-based solution designed to deliver high-performance computing (HPC), artificial intelligence (AI), machine learning (ML), and big data analytics capabilities to organizations across all industries. It provides a full-stack data center in the cloud, including compute instances, storage, and software, all bundled into a cost-sensitive hourly pricing model. PICaaS is ideal for companies without in-house HPC infrastructure or those needing additional cloud-based resources. It supports a wide range of use cases—from deep learning and scientific simulations to real-time rendering and disaster recovery—making it a versatile and scalable solution for performance-intensive workloads.

Features

  • Complete Cloud Data Center: Includes compute instances, storage, and software for HPC, AI, ML, and analytics.
  • GPU & IoT Support: Optimized for GPU-intensive tasks and Internet of Things (IoT) applications.
  • Bare Metal as a Service (BMaaS): Offers direct access to hardware for maximum performance.
  • Application Portability: Enables disaster recovery and workload migration across environments.
  • Accelerated Enterprise Computing: Supports demanding enterprise applications with high throughput.
  • Industry-Agnostic: Applicable to healthcare, finance, energy, pharma, climate science, and more.

Benefits

  • Cost-Effective: All-inclusive hourly pricing model reduces capital expenditure.
  • Scalable: Easily adapts to growing computational needs across industries.
  • Accessible: Brings advanced computing to organizations without HPC infrastructure.
  • Versatile: Supports a wide range of use cases including AI training, simulations, and diagnostics.
  • Performance-Driven: Designed to accelerate deep learning, scientific research, and enterprise workloads.
  • Disaster Recovery Ready: Ensures business continuity with application portability.