Imagination Technologies has published a detailed white paper on HyperLane, its hardware-based GPU virtualization architecture that allows multiple operating systems to share a single GPU without interference.
The technology is aimed primarily at automotive, data center, and consumer edge devices, where a single high-performance platform increasingly needs to run multiple simultaneous workloads with strong isolation guarantees.
Why GPU virtualization matters
In modern systems-on-chip, a single GPU may need to serve an infotainment OS, a digital instrument cluster, an advanced driver-assistance system, and an Android automotive environment simultaneously. Each of those environments has different safety and real-time requirements. Without virtualization, developers either dedicate separate GPUs to each OS, expensive and power-hungry, or rely on software-based sharing that introduces latency and security gaps.
HyperLane addresses this at the hardware level. Imagination’s architecture embeds virtualization support directly into the GPU hardware, allowing the device to present itself as multiple independent GPUs to different operating systems while maintaining full performance isolation.
Compatible with standard hypervisors
The white paper covers HyperLane’s compatibility with industry-standard hypervisors, noting that the hardware approach reduces the software overhead typically associated with GPU passthrough and para-virtualization. Imagination claims the architecture delivers near-native performance to each virtualized client.
The paper also examines alternatives to hardware virtualization, including software-mediated sharing and dedicated GPU per OS configurations, making the case that hardware-level isolation offers the best balance of performance, safety, and flexibility.
Market positioning
Imagination has long supplied GPU IP to the mobile and embedded markets through its PowerVR architecture. HyperLane extends that positioning into safety-critical domains where certification requirements make software-only virtualization impractical.
The automotive sector is the most immediate target, as vehicle architectures consolidate multiple electronic control units into fewer, more powerful domain controllers. A single GPU that can securely partition workloads between the instrument cluster, the navigation system, and driver monitoring software reduces both component count and system complexity.
The white paper
The full 15-page white paper, titled “HyperLane PowerVR Virtualization Explained,” is available from Imagination’s website and covers the architecture in detail, including configuration guidance and performance benchmarks for common use cases.
Sources: HyperLane: GPU Virtualization with Imagination (SemiEngineering, July 1, 2026); HyperLane PowerVR Virtualization Explained (Imagination Technologies)