# AI Inference

The DeepSeek-V3/R1 inference system is a high-performance inference architecture developed by the DeepSeek team, aiming to optimize the inference efficiency of large-scale sparse models. It significantly improves GPU matrix computation efficiency and reduces latency through cross-node expert parallelism (EP) technology. The system employs a double-batch overlapping strategy and a multi-level load balancing mechanism to ensure efficient operation in large-scale distributed environments. Its main advantages include high throughput, low latency, and optimized resource utilization, making it suitable for high-performance computing and AI inference scenarios.

d-Matrix is a company focused on AI inference technology, with its flagship product Corsair? being an AI inference platform specifically designed for data centers that provides extremely high inference speed and low latency. Through hardware-software co-design, d-Matrix optimizes the performance of Generative AI inference, promoting the application of AI technology in data centers, making large-scale AI inference more efficient and sustainable.

Cerebras Inference is an AI inference platform launched by Cerebras, offering speeds 20 times greater than GPUs at 1/5 the cost. It leverages Cerebras' high-performance computing technology to provide rapid, efficient inference services for large-scale language models, high-performance computing, and more. The platform supports a variety of AI models across industries such as healthcare, energy, government, and financial services, and features open-source capabilities that allow users to train their own foundational models or fine-tune existing open-source models.

Rakis is a fully browser-based decentralized inference network. Leveraging blockchain technology, it allows nodes to request and share AI model inference results, enabling distributed execution of AI models without relying on servers. By utilizing browsers as nodes and supporting WebGPU compatible platforms, Rakis empowers ordinary users to participate in AI model inference. The project is open-source, emphasizing transparency and verifiability, aiming to address the challenges of determinism, scalability, and security in decentralized AI inference.

RunPod is a scalable cloud GPU infrastructure for training and inference. Rent cloud GPUs starting at $0.2 per hour, with support for TensorFlow, PyTorch, and other AI frameworks. We provide reliable cloud services, free bandwidth, multiple GPU options, server endpoints, and AI endpoints to suit various needs.