Video game development on Oracle Cloud Infrastructure

March 13, 2024 | 7 minute read
Sanjay Basu
Sr. Director, AI/ML GPU Services
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In the highly competitive landscape of game development, integrating advanced cloud infrastructure with cutting-edge NVIDIA GPUs has enabled game developers to enhance the creativity and performance of games while lowering costs. Oracle Cloud Infrastructure (OCI) with NVIDIA's latest GPUs, specifically the NVIDIA L40S and NVIDIA H100 Tensor Core GPUs, offers powerful capabilities for large language models (LLMs), processing video and audio, and rendering real-time scene using AI models. This article delves into several key tasks of various game development workflows, highlights the advantages of using OCI, and discusses the benefits of the NVIDIA L40S and NVIDIA H100 GPUs.


End-to-end workflow for video game development

End-to-end workflow for video game development

The game development pipeline is intricate, involving several stages, from conceptualization to deployment. During the concept phase, artists and designers sketch out initial concepts and explore themes, characters, environments, and visual styles. These rough sketches evolve into more detailed concept art, where the essence of the game's world is fleshed out and feedback is incorporated from the development team. Once approved, concept art serves as a blueprint for the 3D modeling and texturing process, guiding artists in bringing characters, environments, and props to life with intricate detail. Collaboration and iteration play a central role, ensuring that the final visual aesthetic aligns seamlessly with the overarching vision of the game.

Game dev studios can leverage the power of generative AI across various stages of the development process to enhance ideation, modeling, and animation. Gen AI algorithms can be utilized to generate reference art and designs based on input parameters such as game lore, themes, styles, and mood boards. This enables the exploration of a multitude of creative options that may not have been previously possible due to time constraints.

In animation, generative AI can be employed to automate the animation process, from basic movement cycles to complex character behaviors. Reinforcement learning algorithms, for example, can be used to train virtual characters to perform specific actions or behaviors by learning from real-world motion capture data or pre-defined animation sequences. This approach enables the creation of lifelike and dynamic animations that enhance the realism and immersion of the game world. By using these techniques, game development studios can increase the overall quality of secondary and tertiary characters and games assets.

Game development studios can also leverage LLMs to streamline various processes, such as narrative generation, dialogue systems, player support, and community engagement. By utilizing LLMs, studios can increase game quality and player engagement through dynamic storytelling, immersive worlds, responsive NPCs, balanced gameplay mechanics, and automated support services.

Developers can also use RAG (Retrieval-Augmented Generation) to optimize the output of a LLM so it references an authoritative knowledge base outside of the LLM’s training data before generating a response. For instance, with an NVIDIA GPU-accelerated architecture, an LLM, and a NVIDIA GPU-accelerated vector datastore of a developer’s code repository, programmers can easily retrieve documentation and source code, saving time and cost on model retraining or fine-tuning.

By leveraging generative AI for ideation, modeling, animation, and overall gameplay, game dev studios can accelerate the creative process, increase efficiency, unlock new possibilities for innovation, and deliver richer and more engaging gaming experiences to players.

Advantages of OCI in game development

OCI provides differentiated infrastructure that’s tailor-made for the demands of gaming and media companies. Using powerful NVIDIA GPUs, like the L40S and H100 GPUs, backed by OCI RDMA superclusters, OCI helps ensure that the heavy lifting of video and audio processing and AI-driven scenario creation is handled efficiently. High-performance file systems, including Lustre and the OCI File Storage service, cater to the high I/O requirements of gaming applications and help ensure that data is accessible quickly.

OCI’s high-performance network services, featuring free egress up to 10 TB per month and nonblocking networks within each region, facilitate smooth and efficient data movement. These factors are crucial for delivering high-quality, online gaming experiences and streaming media content without lag or interruption.

Utilizing NVIDIA L40S and H100 GPUs in game development

The NVIDIA L40S GPU is instrumental in graphics-intensive tasks, like creation of synthetic data and delivery of high-performance virtual workstations. The NVIDIA L40S GPU is an ideal choice for gaming applications that demand high-fidelity graphics. The following table provides the OCI bare metal server specification with NVIDIA L40S GPUs:

  • GPU: Four L40S
  • CPU: Two 8480+ 56c
  • Memory: 16 64 GB
  • Local storage: NVMe
  • Boot drive: Block
  • Host NIC: CX7 1x200
  • Smart NIC: One BF3
  • RDMA (CN) NIC: Two CX7 1x400G

The NVIDIA H100 GPU is built for AI and high-performance computing tasks. It plays a pivotal role in AI training, inferencing, and compute-intensive tasks such as  processing NeRF (Neural Radiance Field) for creating photorealistic scenes by enabling faster processing of volumetric data required for NeRF. These features help ensure that dynamic and immersive environments can be generated efficiently.

The following table provides the OCI bare metal server specification with NVIDIA H100 GPUs:

  • GPU: Eight NVIDIA H100 80GB Tensor Core GPUs
  • CPU: 4th Gen Intel Xeon processors, two 56 Cores
  • Memory: 2 TB DDR5
  • SSD: 16 3.84-TB NVMe
  • Boot drive: Block
  • Host NIC: CX7 2x200
  • SMART NIC: One BF3
  • RDMA (CN) NIC: Eight 400 Gb/sec

AI modeling, particularly with LLMs, like the generative pretrained transformer (GPT), has the potential to play a pivotal role in the gaming industry by significantly enhancing the narrative depth, interactivity, and personalization of gaming experiences. The use of LLMs in gaming opens new avenues for creating dynamic storylines, responsive nonplayer character (NPC) interactions, and even procedural content generation. LLMs are becoming more important in gaming, and NVIDIA H100 GPUs can help make them even better.

LLMs can generate rich, adaptive narratives in real-time, responding to player choices with coherent and engaging story arcs. These factors allow for a more immersive and personalized gaming experience, where the storyline evolves based on individual player actions and decisions. With LLMs, NPCs can engage in more realistic and varied conversations, reacting to player inputs with natural language responses. This level of interaction can make the game world feel more alive and responsive, greatly enhancing player immersion.

Developers can also use LLMs for procedural content generation, creating text-based content, such as quests, dialogues, and lore. This content can help them populate vast game worlds with unique and varied content, reducing the time and resources required for content creation.

LLMs can assist in translating and localizing game content for different regions, making games more accessible to a global audience. Writers can also adapt the language style to fit the game's setting or character personalities, enhancing the overall narrative consistency.

Outside of direct gameplay, game developers can use LLMs for player support, providing in-game assistance, hints, or even managing community interactions on forums and social media. They can generate personalized content, such as newsletters or updates, which reflect a player’s in-game activities.

Advantages of using NVIDIA H100 GPUs

NVIDIA H100 GPUs offer the following benefits and advantages:

  • Speed and efficiency: H100 GPUs are built for accelerated computing, like training and inference for LLMs. They allow for real-time processing of natural language inputs and outputs, which are crucial for interactive gaming experiences.
  • Scalability: H100 GPUs support large-scale model training and inference, enabling the use of sophisticated LLMs that can generate more nuanced and complex outputs. This scalability is essential for creating deeply interactive and engaging game worlds.
  • AI optimization: H100 GPUs are equipped with features like the NVIDIA Transformer Engine, which enables FP8 precision for the types of calculations common in transformer-based models. This optimization results in faster and more efficient model training and inference. For more information, see the blog post: H100 Transformer Engine Supercharges AI Training, Delivering Up to 6x Higher Performance Without Losing Accuracy
  • Energy efficiency: H100 GPUs are designed to be energy-efficient, which is crucial for sustainable development practices and reducing operational costs, especially when deploying large-scale AI models in gaming.

NVIDIA H100 GPUs are key in providing the computational power and efficiency required to integrate sophisticated AI models into the gaming world. Their capabilities help game developers push the boundaries of what’s possible and make games that are not only more engaging and dynamic but also more accessible and responsive to the player's imagination and choices.

Find out more about how NVIDIA GPUs on OCI can help your game development workflow

The synergy between OCI’s robust cloud infrastructure and NVIDIA L40S and H100 GPUs provides a formidable platform for video game development. This combination not only streamlines the end-to-end workflow of game creation but also helps unlock new potential for dynamic storytelling, realistic rendering, and interactive gameplay. As the gaming industry continues to push the boundaries of technology and creativity, the integration of these advanced technologies is set to play a crucial role in shaping the future of video game development, offering gamers around the world more immersive and engaging experiences.

Try out NVIDIA GPUs on Oracle Cloud Infrastructure by visiting OCI Compute and contacting the Oracle sales team. Also, visit us at Booth: S941 at Game Developer Conference (GDC) 2024. We hope to see you there!

Sanjay Basu

Sr. Director, AI/ML GPU Services

Sanjay focuses on OCI's NVIDIA GPU offerings for large scale model training and inference. He also works with Oracle AI, Blockchain, Microservices along with Cloud Security and Compliance.

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