Enterprise IT

Enterprise compute demands have long outpaced what general-purpose cloud platforms can cost-effectively deliver. R&D teams, product engineers, and data scientists want more power, less queue time, and predictable cost. IT departments demand security, auditability, and operational control. Enterprise HPC satisfies both requirements in a single infrastructure.

The Business Value of Enterprise HPC

Competitive Advantage

Simulation and modeling capacity shortens product development cycles, reduces prototype cost, and improves time-to-market. A 256-core HPC cluster compresses calculations that would take engineering teams weeks into a single day.

Cost Predictability

Cloud-based HPC billing fluctuates significantly with usage patterns. On-premise or managed rental delivers a fixed cost structure — budget planning and cost center allocation become straightforward.

Data Sovereignty

Trade secrets, product designs, and R&D data never leave the organization’s control. Competitive and legal risk is minimized.

Self-Service HPC Platform

Modern enterprise HPC operates on a self-service model: managed by IT, used independently by teams.

User Experience Layer

Open OnDemand provides users with browser-based access to:

No command-line knowledge required — research and engineering teams are productive within hours.

Multi-Team and Multi-Project Support

SLURM’s account and QOS (Quality of Service) system allows resource quotas to be assigned per department or project:

Account: rd_department    → 10,000 CPU-hours/week
Account: engineering      → 8,000 CPU-hours/week
Account: data_science     → Priority GPU node access

Usage per group is reportable — project-based cost allocation is straightforward.

Software Environment Management

The Lmod module system allows different teams to use different software versions without conflict:

module load python/3.11 tensorflow/2.15 cuda/12.3
module load ansys/2024R2
module load matlab/r2024a

Conda/virtualenv integration lets users manage their own Python environments without affecting system stability.

Security and Compliance

Enterprise HPC security must be multi-layered.

Network Segmentation

Corporate Network
      ↓
[DMZ / Jump Host] — VPN or SSH bastion
      ↓
[HPC Login Zone] — User sessions
      ↓
[Compute Network] — HPC workloads (isolated)
      ↓
[Storage Network] — High-speed I/O (isolated)

Compute and storage networks are fully isolated from the corporate production network.

Identity and Access Management

Audit Logging

All logins, job submissions, and resource consumption are stored in a centralized logging system. Audit trails required for ISO 27001 and SOC 2 compliance are standard.

Monitoring and Capacity Management

Real-Time Monitoring

Prometheus + Grafana stack delivers:

Customizable dashboards for IT managers and department heads.

Capacity Planning

Historical usage analysis identifies:

Mevasis managed services include monthly capacity reports and expansion recommendations.

SLA and Incident Management

Standard SLA for managed HPC services:

Common Enterprise Use Cases

Finance and Risk

Monte Carlo simulations, portfolio optimization, and stress testing benefit from high core counts. Sensitive financial data must not leave the organization.

Energy and Natural Resources

Reservoir simulation (Eclipse, CMG), seismic processing, and wind turbine siting optimization are typical workloads. 24/7 uninterrupted compute is business-critical.

Defense Industry

Design and simulation data under ITAR/EAR control must remain on domestic infrastructure. Mevasis has experience with the specific security requirements of defense sector customers.

Machinery and Manufacturing

Tolerance analysis, thermal simulation, dynamic analysis, and acoustic computation — combined with digital twin applications — require continuous compute capacity.

Mevasis Enterprise IT HPC Services

Mevasis offers enterprise IT teams:

How is HPC infrastructure aligned with corporate IT policies? LDAP/AD integration, network segmentation, audit logging, and access control mechanisms allow standard corporate IT policies to be applied to the HPC environment. Mevasis works jointly with IT departments throughout the integration process.

Can HPC be installed in our existing data center? Yes — after a site assessment evaluating rack space, power capacity, and cooling, installation proceeds in your existing data center. Mevasis provides on-site feasibility analysis.

How often should HPC hardware be refreshed? Hardware generally requires refresh every 4–6 years. GPU servers age faster (3–4 years); CPU nodes can run efficiently for 5–6 years. With managed rental, hardware refresh responsibility rests with Mevasis.

Does our IT team need specialized HPC training? In the Mevasis managed service model, your IT team does not need deep HPC expertise — daily operations are handled by Mevasis. For teams who want to self-manage, SLURM administration and Linux HPC stack training is available.