IFORELS, Inc.
101 Jefferson Dr
Menlo Park, CA 94025
community@iframe.ai
Sales Inquiries
sales@iframe.ai
THE PLATFORM

built from first principles.

iFrame OS replaces the traditional cloud stack — hypervisor, container runtime, orchestration layer — with a single, GPU-native OS that runs directly on bare metal. The result: 4–6× lower cost, zero virtualization overhead, and unlimited context windows.

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CORE TECHNOLOGIES

GPU efficiency.

Custom GPU OS

A kernel-level runtime that replaces hypervisors, container runtimes, and orchestration layers. Direct hardware access means every GPU cycle serves your workload.

NVMe-Buffered Memory

High-speed NVMe storage extends GPU VRAM transparently. Run larger models on fewer GPUs without code changes. The buffer is invisible to your workload.

Infinite Context Engine

Patent-pending technology that removes context window limits at the infrastructure level. Process billion-token inputs in a single pass. No chunking, no RAG workarounds.

Resource Orchestration

Single control plane for GPU, memory, and storage allocation across multi-node deployments. Provision clusters in minutes through a clean API.

PERFORMANCE

speak.

0 ×
Cost reduction versus
major cloud providers
0 ms
Virtualization overhead
on bare-metal GPU access
0
Context window length
with patent-pending tech
DEPLOYMENT

to deploy.

iFrame OS fits your existing infrastructure model. No vendor lock-in, no hardware requirements beyond standard NVIDIA GPUs.

On Your Hardware

Install iFrame OS on your own GPU servers in your own data centers. You maintain physical control while we provide the software orchestration layer.

Neocloud Integration

Deploy as an optimization layer beneath your customer-facing platform. Every GPU you own becomes 4–6× more profitable.

Managed Deployment

Our infrastructure team handles setup, configuration, and ongoing optimization. You focus on your AI workloads.

NEXT STEPS

action.

Request a technical walkthrough with our engineering team. We’ll show you exactly how iFrame OS performs on your workload profile.

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