Integrated GPUs represent NVIDIA's innovative architecture that combines multiple GPU instances into a single physical GPU, enabling efficient resource sharing and virtualization for cloud environments. Available on Cyfuture Cloud, Integrated GPUs provide up to seven isolated GPU instances with dedicated memory and compute resources, supporting workloads like AI inference, machine learning training, and high-performance computing. This technology delivers up to 70% better GPU utilization compared to traditional slicing methods, featuring NVLink interconnects for high-bandwidth communication, MIG (Multi-Instance GPU) partitioning, and seamless Kubernetes integration for scalable deployments.
Integrated GPUs are graphics processing units built directly into the CPU die or motherboard chipset, sharing system RAM instead of having dedicated memory. They provide cost-effective graphics capabilities for everyday computing tasks like web browsing, office applications, and light multimedia without requiring a separate graphics card.
Graphics cores reside on the same chip as CPU cores, enabling efficient communication and reduced latency between processing units.
Uses a portion of main RAM dynamically allocated for graphics buffers, eliminating need for dedicated VRAM while allowing flexible memory distribution.
System RAM serves both CPU and GPU operations through unified memory controllers, optimizing resource allocation based on workload demands.
Lower power consumption compared to discrete GPUs as they leverage existing CPU power delivery and thermal systems.
BIOS/UEFI and OS dynamically assign memory and processing cores based on graphics workload intensity and system requirements.
Vendor-specific drivers (Intel UHD, AMD Radeon Vega, Apple M-series) optimize performance across different application types and resolutions.
Handles multiple displays through integrated outputs (HDMI, DisplayPort, USB-C) using efficient video encoding hardware.
Supports basic DirectX, OpenGL, and Vulkan APIs for casual gaming and professional visualization at reduced settings.
| Specification | Details |
|---|---|
| GPU Type | Integrated GPU (iGPU) — part of CPU platform |
| Supported CPU Platforms | Intel CPUs with UHD/Iris Xe Graphics, AMD APUs with Radeon Graphics |
| Graphics Architecture | e.g., Intel Xe, AMD RDNA |
| Execution Units / Shaders | Intel: 96-192 EU (varies by CPU SKU); AMD: 4-12 Compute Units |
| Core Clock Frequency | 300-1,600 MHz (dynamic) |
| Graphics Memory | Shared system memory (no dedicated VRAM) |
| Maximum Shared Memory | Up to 8-16 GB (platform/instance dependent) |
| Memory Type | DDR4 / LPDDR4 / LPDDR5 (shared) |
| Memory Bandwidth | Depends on system memory config (dual/quad channel) |
| DirectX / OpenGL Support | DirectX 12, OpenGL 4.6, Vulkan 1.2+ (depending on drivers) |
| Video Encode/Decode | H.264/H.265/HEVC, VP9 (hardware-assisted) |
| Display Outputs (Virtual) | Up to 4 simultaneous virtual displays |
| Max Resolution Supported | 4K @ 60 Hz (dependent on virtual desktop config) |
| API & SDK Support | OpenCL, Vulkan, DirectX, optional CUDA/ROCm (discrete only) |
| Virtualization Support | vGPU / GPU-partitioning (if enabled via hypervisor) |
| Use Cases | Remote graphics/UI acceleration, light 3D apps, media transcoding |
| Security | VM isolation, driver sandboxing |
| Provisioning Models | On-demand instance, reserved instance, vGPU profile assignment |
Integrated GPUs are embedded directly within the CPU die, enabling seamless communication and efficient resource sharing between processing units.
Utilizes main system memory dynamically allocated for graphics tasks, eliminating need for separate VRAM while maintaining flexibility.
Consumes significantly less power than discrete GPUs, ideal for laptops and energy-conscious systems with extended battery life.
Eliminates requirement for additional graphics cards, reducing overall system costs for everyday computing and office applications.
Space-saving architecture perfect for thin laptops, mini PCs, and small form factor systems without expansion slots.
Handles multiple displays through integrated outputs like HDMI, DisplayPort, and USB-C for productivity workflows.
Supports casual gaming and esports titles at modest settings with modern architectures like Intel Iris Xe and AMD Radeon Graphics.
Provides hardware acceleration for DirectX, OpenGL, and Vulkan APIs suitable for light content creation and visualization.
Intel's hardware video encoding/decoding accelerates streaming, video conferencing, and media editing tasks.
No need for separate installation or drivers, providing instant graphics capability upon system boot.
Cyfuture Cloud stands out as the premier choice for Integrated GPUs deployment with its robust cloud infrastructure optimized for seamless performance. Integrated GPUs benefit from Cyfuture's high-speed NVMe storage, low-latency networking, and scalable virtual machines that maximize their shared memory architecture efficiency. Businesses can access modern Intel and AMD processors featuring advanced Integrated GPUs like Intel Iris Xe and AMD Radeon Graphics without upfront hardware investments. This approach ensures cost-effective computing power for everyday workloads, light AI inferencing, and multimedia processing while maintaining enterprise-grade security and compliance.
Cyfuture Cloud's platform offers unmatched flexibility for Integrated GPUs through instant provisioning, auto-scaling, and pay-as-you-go pricing tailored to varying compute demands. Integrated GPUs on Cyfuture deliver reliable multi-monitor support, hardware-accelerated video encoding, and optimized drivers for popular applications, making them ideal for development teams, remote workers, and SMBs. With 24/7 support, MeitY-empanelled data centers in India, and seamless integration with Kubernetes and container orchestration, Cyfuture ensures your Integrated GPUs workloads run smoothly and scale effortlessly to meet business growth.

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Integrated GPUs are graphics processing units built directly into the CPU or chipset, sharing system RAM to handle basic graphics tasks efficiently without dedicated VRAM.
Integrated GPUs use shared system memory and consume less power, making them suitable for everyday computing, while discrete GPUs have dedicated memory and excel at high-performance gaming and AI workloads.
Yes, Cyfuture Cloud offers VMs powered by modern Intel and AMD processors with advanced Integrated GPUs like Intel Iris Xe and AMD Radeon Graphics for optimized cloud performance.
Integrated GPUs handle office applications, web development, light video editing, multi-monitor setups, and basic machine learning inference effectively on Cyfuture’s platform.
Absolutely, Cyfuture Cloud’s Integrated GPUs support multiple virtual displays through VNC, RDP, and cloud desktop solutions for enhanced productivity.
Yes, modern Integrated GPUs feature hardware acceleration such as Intel Quick Sync, speeding up video transcoding and streaming directly on Cyfuture infrastructure.
Cyfuture Cloud uses pay-as-you-go pricing for Integrated GPU VMs, scaling with CPU cores, RAM, and storage configurations.
Integrated GPUs provide strong support for software development, testing, and CI/CD pipelines with OpenGL, DirectX, and Vulkan API compatibility on Cyfuture Cloud.
Cyfuture offers seamless migration tools to transition applications to Integrated GPU cloud instances with minimal downtime and automated optimization.
24/7 expert support, performance monitoring, driver updates, and optimization guidance ensure maximum efficiency from Integrated GPU deployments.
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