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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.20277522 |
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| _version_ | 1866901940341833728 |
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| author | Rusishvili, Mikheil |
| author_facet | Rusishvili, Mikheil |
| contents | <p>This paper proposes a practical hybrid gaming-computing architecture named</p> <p>VES-HGN X1, or VES Hybrid Gaming Node X1. Unlike speculative future processors requiring new semiconductor fabrication, the proposed system is built entirely</p> <p>on existing chipsets and commercially available hardware platforms. Its core components include an AMD X870E motherboard platform, an AMD Ryzen 9 9950X3Dclass processor, an NVIDIA GeForce RTX 5090-class graphics processor, low-latency</p> <p>DDR5 memory, PCIe 5.0 NVMe storage, and an auxiliary AI/accelerator layer.</p> <p>The novelty of the system does not lie in replacing the GPU with an entirely new</p> <p>chip. Instead, it lies in organizing the CPU, GPU, memory, storage, and AI helper</p> <p>accelerator into a unified VES-inspired information-flow architecture. The system</p> <p>is governed by a VES-AI Game Governor that dynamically optimizes frame timing,</p> <p>CPU thread placement, shader caching, asset streaming, RAM/VRAM residency,</p> <p>thermal boost windows, power behavior, and latency-sensitive scheduling.</p> <p>The goal is not merely to increase average FPS, but to outperform conventional</p> <p>high-end gaming systems in real gaming experience: 1% lows, 0.1% lows, stutter</p> <p>reduction, input latency, streaming stability, asset-loading consistency, and energy</p> <p>per rendered frame. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20277522 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | VES-HGN X1 Rusishvili, Mikheil <p>This paper proposes a practical hybrid gaming-computing architecture named</p> <p>VES-HGN X1, or VES Hybrid Gaming Node X1. Unlike speculative future processors requiring new semiconductor fabrication, the proposed system is built entirely</p> <p>on existing chipsets and commercially available hardware platforms. Its core components include an AMD X870E motherboard platform, an AMD Ryzen 9 9950X3Dclass processor, an NVIDIA GeForce RTX 5090-class graphics processor, low-latency</p> <p>DDR5 memory, PCIe 5.0 NVMe storage, and an auxiliary AI/accelerator layer.</p> <p>The novelty of the system does not lie in replacing the GPU with an entirely new</p> <p>chip. Instead, it lies in organizing the CPU, GPU, memory, storage, and AI helper</p> <p>accelerator into a unified VES-inspired information-flow architecture. The system</p> <p>is governed by a VES-AI Game Governor that dynamically optimizes frame timing,</p> <p>CPU thread placement, shader caching, asset streaming, RAM/VRAM residency,</p> <p>thermal boost windows, power behavior, and latency-sensitive scheduling.</p> <p>The goal is not merely to increase average FPS, but to outperform conventional</p> <p>high-end gaming systems in real gaming experience: 1% lows, 0.1% lows, stutter</p> <p>reduction, input latency, streaming stability, asset-loading consistency, and energy</p> <p>per rendered frame. </p> |
| title | VES-HGN X1 |
| url | https://doi.org/10.5281/zenodo.20277522 |