By 2027, more than 75% of all AI/ML deployments will use container technology as the underlying compute environment
- Gartner
Organizations with mature hybrid and multicloud strategies show a 71% higher focus on rapidly adopting new technologies like AI/ML
- IDC
More than 50% of organizations will not get the expected results from their multicloud implementations by 2029
- Gartner
Welcome to Seamless
Compute • Storage • VDI
Why Siloed Tools Are Killing Your AI Momentum—and How projectEureka Unlocks It
In today's AI race, you're not just managing compute, storage, or apps—you're battling a hydra of disconnected silos that fragment your workflow:
- On-prem K8s clusters locked in turf wars with cloud sprawl.
- Data buried in S3 shadows or GCS vaults—untamed, untrusted, and impossible to wrangle.
- Virtual desktops floating in isolation, cut off from your compute and storage firepower.
The fallout?
- Teams drowning in endless plumbing.
- Budgets exploding on band-aid fixes.
- Breakthroughs stuck in neutral.
Enter projectEureka: One intuitive dashboard that fuses AI orchestration, data governance, and virtual desktops into a single, seamless engine. No more vendor patchwork—everything syncs, scales, and secures in harmony, delivering:
- Accelerated Innovation: Compute bursts smartly across clouds, fueled by pre-staged, compliant data—launch sims or train models 5x faster, minus the handoffs.
- Compliant Security & Scale: Governance policies cascade end-to-end, from data mount to desktop screen, enforcing zero-trust access while auto-scaling to match demand.
- Empowered Teams: Virtual desktops serve up context-aware apps (e.g., pre-loaded with your freshest dataset), transforming remote devs into global collaborators who iterate like locals.
Dive deeper: See how each pillar supercharges the whole
Compute orchestration
orchestrate Workloads Anywhere, Without the Chaos
Pain Point
Juggling on-prem Kubernetes clusters with multi-cloud sprawl (AWS, Azure, Google) means endless config tweaks, vendor lock-in, and teams wasting weeks on compatibility fires.
Solution
projectEureka's orchestration layer auto-composes and manages hybrid workloads—spin up K8s pods on-prem for sensitive sims, burst to cloud for peak AI training, all via point-and-click in the dashboard. No YAML nightmares or API hopping.
Wins
Data Management
Data Where You Need It, Governed and Ready
Pain Point
Siloed data across on-prem mounts, S3 buckets, GCS lakes, and Blob storage leads to version chaos, compliance headaches, and hours hunting for the "right" dataset.
Solution
Built-in multi-site orchestration stages, syncs, and governs data flows—mount on-prem volumes directly, federate cloud stores, and apply policies (e.g., access controls, auditing) in one view. ETL pipelines? Auto-generated.
Wins
AI Virtual Desktops
Apps at Your Fingertips, No Setup Required
Pain Point
Remote teams struggle with app installs, GPU access, or secure virtual desktops for heavy AI & simulation tools leading to frustration and delayed projects.
Solution
projectEureka's Linux virtual desktop delivers pre-configured, GPU-accelerated virtual desktops with your favorite apps streamed instantly, integrated with the orchestration layer for on-demand resources.
Wins
Why Omnibond: Experience
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