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IBM · IBM Spectrum LSF → Google Cloud Batch · Migration

Proven LSF to GCP Batch Migration from IBM Spectrum LSF

Yes, this migration is a well-understood project. Here is how it works: our senior engineers move your compute-intensive workloads from IBM Spectrum LSF to Google Cloud Batch with fixed scope and no forced cutover.

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Schedule a free feasibility and cost assessment today.

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Powered by the 3PS Migration Engine

The lowest-cost way off IBM Spectrum LSF: our migration tooling automates the repetitive work —you pay senior engineers for judgment, not keystrokes.

Automated discovery
Your IBM Spectrum LSF estate mapped — workloads, dependencies, licensing — before day one
Conversion tooling
Schema, config and workload translation to Google Cloud Batch, automated where it's safe
Parity validation
Side-by-side testing proves Google Cloud Batch matches production before cutover
Runbook cutover
Rehearsed, reversible, scheduled in your maintenance window
40-70% vs vendor sup
Cost savings
4-9 months
Project timeline
2-4 dedicated
Senior engineers per project

How we support IBM Spectrum LSF → Google Cloud Batch after migration

  • Fixed-scope projects. No cost overruns.
  • Senior platform engineers handle the migration.
  • Leverage Google Cloud Batch TPUs & GPUs.
  • Vendor support stays active during your timeline.
  • 40-70% savings on legacy support while you plan.
  • 24/7 US-based support post-migration.

Can't leverage Google TPU/GPUs

Your AI/ML pivot requires Google Cloud TPU/GPU architecture, but your legacy LSF cluster lacks native integration.

High cost of IBM license renewals

Renewing IBM software contracts is expensive. You want to consolidate general-purpose compute on GCP but feel locked in.

Complex job dependencies

Your LSF-dependent checkpointing and MPI configurations seem too complex to port safely.

IBM Spectrum LSF → Google Cloud Batch migration — your questions answered

Can you migrate legacy non-x86 workloads?+

Yes. Our senior engineers have migrated non-x86 workloads from Spectrum LSF to Google Cloud Batch. We assess your architecture upfront to ensure compatibility.

What about LSF-dependent checkpointing?+

We evaluate your checkpointing logic during the feasibility phase. Most configurations are reimplemented using Google Cloud Batch native features or custom scripts.

How do you handle extreme low-latency MPI across thousands of nodes?+

We analyze MPI latency requirements and can design a cluster topology on GCP that meets low-latency demands. We have experience with large-scale parallel workloads.

What is the timeline and budget for a migration?+

Projects run 4-9 months with 2-4 Cloud consultants. Budget typically ranges $100,000 to $550,000. We scope it upfront so you know the cost.

Migrate LSF to GCP Batch with Zero Pressure

Your LSF cluster stays under IBM vendor support as long as your contract is active. No forced big-bang cutover. Migrate on your timeline. When the renewal lapses, our third-party support covers most operational issues on the legacy platform while you complete the move. Post-migration, we offer GCP Batch monitoring, queue optimization, and cost governance services.

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