Private Cloud · AI Infrastructure · Security · Managed Operations
An open source foundation for your private cloud.
Move away from proprietary licensing, cut infrastructure costs, and gain capabilities your current platform never offered. PurePeak designs, builds, and manages private cloud on KVM and OpenNebula, AI networks, data center, and hybrid environments for enterprise teams globally, backed by 20+ years of production-safe delivery and our partnership with Anthropic.
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What we do
Private cloud, AI infrastructure & managed operations.
From VMware migration and private cloud platforms to AI networking, data center services, and 24/7 operations, we handle the full infrastructure lifecycle so your team can focus on the business.
Hypervisors & Orchestration
Same private cloud. Open source foundation, easy migration.
VMware licensing has become unpredictable, and many teams are reassessing the platform their entire private cloud sits on. PurePeak makes the move to an open source foundation easy: lower costs, features you'll actually use, and none of the operational capabilities you built your environment around left behind. We manage the result as infrastructure as code from day one.
Feature parity, not compromise
Live migration, high availability, load-balanced scheduling, distributed storage, and software-defined networking all carry over. Applications and operations teams see a platform that behaves the way VMware did, minus the licensing model.
Open standards, no lock-in
KVM, Proxmox, and OpenNebula are open source at the core, so your virtualization layer isn't tied to a single vendor's licensing decisions or roadmap. You choose the orchestration tooling that fits, not the one you're stuck with.
Infrastructure as code, from day one
Every host, network, and storage policy is defined in Terraform and Ansible and delivered through a GitOps pipeline. Environments are reproducible, auditable, and version-controlled, not click-configured and undocumented.
From one rack to geo-distributed clusters
The same operating model scales from a single private cloud in one data center to multi-site, geographically distributed clusters, with cross-site replication, unified monitoring, and consistent policy enforcement everywhere.
AI infrastructure & security
AI networks, secured by design.
AI workloads introduce a new class of risk: sensitive data flowing into models, unsanctioned AI tools operating outside policy, and prompt-level traffic that conventional firewalls were never built to inspect. PurePeak designs the network your AI workloads run on and the security layer that watches what moves through it. As an OCI, AWS, Azure, GCP, and Anthropic authorized partner, we bring the same operational discipline to the AI tools running on that network.
AI network infrastructure
Dedicated GPU clusters and high-speed interconnects (InfiniBand, RoCE) for training and inference, with VXLAN-isolated fabrics that keep AI traffic separated from the rest of your environment.
AI firewall & traffic inspection
Policy enforcement built for AI traffic: model API calls, prompt payloads, and inference requests are inspected and filtered in real time, so AI tools operate inside the boundaries you define.
Data loss prevention for AI
Sensitive data is classified and controlled before it reaches an AI model or leaves your environment through an AI tool, whether the request comes from an approved application or an unsanctioned one.
Shadow AI visibility
Discover which AI tools and services your teams are actually using, not just the ones on the approved list, and bring unmanaged AI usage under policy without blocking legitimate work.
Technologies
The stack we run every day.
We work across the full networking and infrastructure stack, from Layer 2 to application delivery.
How we work
A proven path from kickoff to operations.
Every engagement follows the same disciplined process, so nothing in production depends on a single step going right.
- 01
Kickoff call
We start by understanding your goals, current architecture, constraints, stakeholders, and what production behavior must be preserved.
- 02
Environment assessment
Inventory, dependencies, and a clear-eyed review of what's actually running today, before anything changes.
- 03
Migration design
We design the target architecture and a controlled delivery path, with validation, rollback, and clear ownership at every step.
- 04
Phased rollout
Wave-by-wave cutover with explicit rollback per wave, so production never depends on everything going right at once.
- 05
Go live + operations
We stay alongside you: running the environment, tuning controls, and handling change after launch.
Track record
Built for teams that can't afford downtime.
As of 2026 · production delivery globally
- 0+
- Years in operation
- 0/7
- Managed operations
- 0%
- Production uptime SLA
- 0+
- Infrastructure platforms covered
Track record
Successful engagements.
Real infrastructure challenges, solved in production.
Financial services firm: VMware to OpenNebula, feature for feature
Facing a fourfold increase in VMware licensing costs, a financial services firm needed a viable alternative that wouldn't cost it high availability or live migration. We migrated the full production cluster to OpenNebula on KVM in a phased rollout, matched every capability the team depended on, and cut year-one infrastructure cost by 60%.
SaaS platform: AI firewall and data loss prevention
After rolling out AI copilots across the organization, a SaaS platform needed visibility into what was leaving the network through AI tools. We deployed AI-aware traffic inspection and data loss prevention policies at every egress point, surfacing and closing three unsanctioned AI integrations within the first month.
Manufacturing enterprise: on-premises AI cluster
A manufacturing group needed to run computer vision workloads on its factory floor without sending data to public cloud. We built and now manage a dedicated GPU cluster on-premises with VXLAN isolation, delivering inference at sub-100ms latency.
Telecom provider: traditional network to Cisco ACI
A regional telecom carrier needed to modernize a flat, manually managed network fabric. We designed and deployed a full Cisco ACI environment, migrating 200+ endpoints with zero ping loss and no production window longer than 15 minutes.
Sound familiar?
The problems we hear most.
If any of these sound like your team, you're exactly who we work with.
We're looking at a steep VMware licensing renewal and need an alternative that won't put production at risk.
Our teams are using AI tools we haven't evaluated, and we don't know what data is leaving through them.
We want to run AI workloads on-premises but don't have the GPU networking expertise in-house.
Our data center network needs a redesign. We're running out of capacity and the current setup is hard to maintain.
We need infrastructure that's managed as code, not configured by hand and left undocumented.
We need to extend our on-premises environment to the cloud without losing control over it.
Common questions
Frequently asked.
What does PurePeak actually do?
We design, build, and operate private cloud, AI infrastructure, data center networks, and hybrid environments for enterprise teams. Our core strength is on-premises and private cloud, including OpenNebula, KVM, OpenStack, Cisco, Fortigate, Palo Alto, and the full networking stack. We also manage public cloud when it's the right fit, with Oracle Cloud as our primary public cloud platform.
Can you migrate us off VMware without losing functionality?
Yes. We migrate VMware environments to KVM and OpenNebula while preserving the capabilities production teams depend on: live migration, high availability, distributed storage, and software-defined networking. Migrations run wave by wave, are validated at every stage, and are managed as infrastructure as code from day one, so the result is reproducible and auditable rather than a black box.
How can I reduce my infrastructure costs significantly?
If you're spending heavily on public cloud or VMware licensing, we can build and operate a private cloud environment using OpenNebula or OpenStack on KVM. In most cases we reduce infrastructure costs by 50% or more compared to equivalent public cloud spend, with the same operational discipline and SLAs.
What do an AI firewall and data loss prevention for AI actually cover?
We inspect and control traffic moving to and from AI tools and models. Prompts, API calls, and inference requests are filtered against policy in real time, sensitive data is classified and blocked before it reaches an unsanctioned AI service, and we surface the AI tools your teams are actually using so unmanaged usage can be brought under policy. It runs alongside your existing security stack rather than replacing it.
Do you manage infrastructure across multiple data centers or regions?
Yes. The same infrastructure-as-code approach we use for a single private cloud extends to multi-site and geographically distributed clusters, with cross-site replication, unified monitoring, and consistent policy enforcement across every location.
Do you work with on-premises environments, or only cloud?
On-premises is our primary strength. We deploy and manage Cisco, Fortigate, Palo Alto, HP/Aruba, Juniper, Dell, and related technologies in data centers daily. We handle everything from initial rack-and-stack and network design through 24/7 operations, security, and lifecycle management.
Can you build and manage an AI network for us?
Yes. We design and operate dedicated AI networks: GPU clusters, high-speed fabrics (InfiniBand, RoCE), VXLAN isolation, storage backends, and monitoring, on-premises or in a hybrid setup. We layer AI-aware security on top so your data science team can move fast without losing visibility into what the AI tools are doing.
Where does PurePeak operate?
We're headquartered in Petah Tikva, Israel and serve enterprise customers globally. Our engineers cover all time zones our customers operate in.
Deliver your infrastructure without surprises.
Whether you're migrating off VMware onto KVM and OpenNebula, securing AI workloads with an AI firewall and data loss prevention, or running private cloud across multiple data centers, PurePeak brings 20 years of managed operations and production-safe delivery.