Computing Power for Modern AI Workloads
Inference
Run AI models in production and process queries with low latency. GPU-accelerated servers provide the computing power needed for language models, Computer vision, and other inference workloads.
Training & Fine-Tuning
Training and fine-tuning AI models require high levels of parallel computing power. High-performance GPUs, CPUs, and memory form the foundation for computationally intensive training and fine-tuning processes.
Generative AI & LLMs
In addition to GPU performance, large language models require sufficient RAM, fast storage devices, and high network bandwidth. AKHET® servers can be tailored to accommodate different model sizes and user counts.
NVIDIA GPU Computing
AKHET® servers support high-performance NVIDIA GPUs for parallel computing operations. Depending on the platform and application, different GPU classes are available for AI, machine learning, and data-intensive workloads.
Local AI on Your Own Infrastructure
AI doesn't have to run exclusively in the cloud. With Local AI, companies can run models on their own infrastructure and process data locally. Our AI servers provide the hardware foundation for this.
Discover AI Servers AI Servers for Different Performance Requirements
From compact GPU servers to high-performance multi-GPU platforms: Our AKHET® systems offer a variety of configurations for AI, machine learning, inference, and data-intensive applications.
From Configuration to Mass Production Write to us:
Pyramid develops and manufactures server hardware in Germany. The platform, CPU, GPU, memory, storage, and networking can be tailored to the application, performance requirements, and planned lifecycle.
Your contact person:
Frederic Eschbach & Serena Liu