Rescale Platform

Accelerate innovation with AI-powered cloud HPC for R&D.

by Rescale · Scientific Computing

Executive Summary

Rescale Platform is an AI-powered cloud High-Performance Computing (HPC) platform designed for R&D teams. It enables engineers and scientists to accelerate product development and discovery by providing access to a vast library of software applications, performance-driven computing architectures, robust data security, and intelligent controls. Leveraged by a majority of Fortune 500 companies, it aims to bring new product innovations to market faster and more efficiently.

Use Cases

  • Accelerating drug discovery and life sciences research
  • Designing supersonic jets and rockets in aerospace
  • Developing electric vehicles and advanced automotive components
  • Optimizing semiconductor design and manufacturing processes
  • Implementing digital twin initiatives for product development
  • Performing complex CAE (Computer-Aided Engineering) and MDO (Multidisciplinary Design Optimization)

Features

Visibility

  • Economics Dashboard: Provides a comprehensive view of R&D computing spend, allowing administrators to track budgets and view spending across projects, software, and infrastructure.
  • Security Dashboard: Enables administrators to manage access controls, security policies, and track data transfer in and out of the platform at various organizational levels.
  • Job Analyzer: Monitors real-time job performance to identify resource constraints, diagnose suboptimal configurations, and troubleshoot issues, reducing the risk of costly overruns.

Intelligence

  • AI-Powered Search: Allows engineers to find information across simulations and metadata using natural language queries, accelerating data discovery.
  • Compute Recommendation Engine: Utilizes AI to recommend optimal hardware architectures and software configurations for specific HPC and AI workloads, enhancing performance and efficiency.
  • AI-Driven Job Summaries: Automatically generates summaries for every simulation, highlighting key findings, detecting anomalies, and diagnosing failures for easy sharing and analysis.
  • Agentic Workflow Automation: Transforms complex engineering tasks into automated workflows, enabling AI agents to learn from and orchestrate multi-step simulations and processes.
  • Physics-Aware AI: Enables rapid development of physics-informed models using existing simulation data, delivering significant speed improvements while maintaining engineering accuracy.

Support

  • Comprehensive Application Support: Offers support for over 1,000 commercial and open-source R&D software applications, ensuring compatibility and optimal performance.
  • Full-Stack Security and Support: Provides end-to-end security and support across the entire HPC and AI technology stack, empowering engineers while giving IT control.
  • Documentation & Training: Extensive documentation and training resources are available to help users effectively leverage the platform's capabilities.

Technical Specifications

Architecture
Cloud-native SaaS, Multi-cloud orchestration, Unified digital engineering platform
Deployment
Cloud/SaaS
Authentication
SSO, SAML 2.0, MFA, API Keys
API Available
Yes
MCP Server
Yes

Infrastructure

  • AWS
  • Azure
  • GCP

AI/ML Stack

  • Machine Learning
  • Physics-informed Neural Networks
  • NLP
  • LLM

Integrations

  • AWS
  • Azure
  • Google Cloud
  • CAE Software

Security & Compliance

Certifications: SOC 2 Type II, ISO 27001, FedRAMP Moderate, FedRAMP IL5 In-Process, ITAR Registered, CSA Star Registry, NIST 800-171 (DFARS), HIPAA, GDPR, CCPA

Encryption: AES-256 at rest, SSL/TLS in transit

Pricing

Model
Custom enterprise, Per core/hour (On-Demand, Prepaid)
Starting Price
Contact sales
Target Customer
Mid-market to Enterprise
Contract Type
Annual, Multi-year (implied by prepaid options)
Free Trial
Yes, Custom demo (credit card required)

About Rescale

Rescale is a technology company that builds cloud software and services, providing an AI-powered cloud high-performance computing (HPC) platform for R&D. It offers a digital engineering platform that integrates cloud computing, data management, and AI to accelerate innovation in various industries.

Founded: 2011 · Headquarters: San Francisco, United States · Employees: 201-500 · Private