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Raplase

by XTREME‑D Inc. · Since 2023
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Active3+ countriesCloudOn-premise
Quick facts
VendorXTREME‑D Inc.
Year launched2023
StatusActive
LocationNBF Shinagawa Tower 5F WORKSTYLING, 2-16-5 Konan, Minato-ku, Tokyo 108-0075
Countries served3+
Languages1
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES

About Raplase

Raplase is a high‑performance computing and AI platform developed by XTREME‑D Inc., a Tokyo‑based technology company specializing in cloud and HPC solutions.

Raplase is a high‑performance computing and AI platform developed by XTREME‑D Inc., a Tokyo‑based technology company specializing in cloud and HPC solutions. It is designed to unify and accelerate AI workflows, including large‑scale model training, real‑time inference, scientific simulations, and data analysis, by seamlessly connecting on‑premises environments with public clouds and even national supercomputers like Japan’s Fugaku. Unlike traditional compute services, Raplase abstracts complex infrastructure management, offering a web‑based portal that enables users to launch environments, monitor usage, and manage resources without deep technical expertise. It supports hybrid deployments — integrating private GPU clusters with cloud services from providers such as AWS or Oracle — and is optimized for AI‑focused workloads. Raplase’s capabilities include secure access controls, usage audits, and automated environment provisioning, making it suitable for enterprises and research institutions seeking scalable computation without extensive in‑house engineering. Though detailed pricing isn’t publicly disclosed, the platform is offered via subscription from XTREME‑D, with tailored plans based on resource needs.

Pros & Cons

Pros
  • Lowered barrier to HPC by automating environment setup and job execution
  • Hybrid support accelerates AI without full cloud lock‑in or SI dependency
  • Unified interface reduces need for CLI or complex cloud console skills
  • Multi‑cloud support helps cost balance and flexibility across providers
  • Strong security with audit logs and user access controls by default
Cons
  • Steep learning curve for users unfamiliar with HPC or AI compute environments
  • Setup of hybrid workflows may require prior cloud knowledge for optimal performance
  • No native mobile dashboard limits management on the go for field or remote teams
  • Advanced GPU tuning options are mostly automated, reducing flexibility for experts
  • Onboarding new team members can be slower without formal training resources

Features

Key features

Multi‑cloud integration

Connects on‑premise servers with multiple cloud and supercomputing environments

Hybrid deployment support

Enables use of private clusters alongside public cloud GPUs

Web‑based management portal

GUI to launch and monitor compute jobs without CLI skills

High‑performance execution

Optimized for large AI training and scientific simulations

Security controls

Includes user management and audit logging capabilities

Supercomputer access

Direct integration with systems like Fugaku

Automated resource provisioning

Simplifies infrastructure setup and scaling

Additional features

On-premises and cloud unified HPC access

Provides seamless connection between on-prem servers and cloud resources for high-performance computing

Hybrid AI compute orchestration across environments

Enables running AI workloads across private and public cloud environments efficiently

Web browser interface for operations

Allows users to manage HPC tasks and monitor resources via GUI without command-line skills

Role-based user access management

Controls user permissions and access levels for secure operation of computing resources

Monitoring and usage reporting tools

Tracks system performance, usage metrics, and job statuses in real time

Data transfer and storage management

Handles large datasets efficiently across different compute environments

Support for NVIDIA/AMD GPU computing

Optimized execution on NVIDIA and AMD GPU hardware for AI and simulation workloads

Automated resource provisioning

Automatically sets up compute nodes and required environments without manual configuration

Integration with top supercomputers

Connects to supercomputing resources like Fugaku to scale high-end computational tasks

High-performance execution optimization

Ensures AI training, simulations, and analyses run at maximum speed and efficiency

Security controls and audit logging

Provides comprehensive security with tracking of user activity and system changes

Scalable subscription-based deployment

Offers flexible subscription plans to match enterprise or research computational needs

Multi-cloud cost optimization

Balances workloads across cloud providers to reduce costs and maximize efficiency

Pricing

Free trial
Free version
Request a quote
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Countries & Languages

3
Countries served
1
Interface languages
16
Billing currencies

Available in

JapanNorth AmericaEurope

Interface languages

Japanese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇴NOK🇩🇰DKK🇮🇳INR🇿🇦ZAR🇳🇿NZD🇰🇷KRW🇭🇰HKD

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