AI Factories for Generative AI

High-Performance Infrastructure for Scalable Model Training and Inference

Atipa Technologies designs and engineers high-performance AI Factories tailored specifically for the demands of generative AI. These advanced platforms integrate ultra-dense GPU clusters interconnected via high-speed InfiniBand fabrics, ensuring exceptional bandwidth and minimal latency for data-intensive operations. Complemented by distributed NVMe storage architectures, Atipa’s systems are optimized to handle the massive data throughput required by today’s most complex AI models.

Our infrastructure is purpose-built to accelerate the development and deployment of cutting-edge AI applications, including transformer-based architectures, diffusion models, and multimodal pipelines. Whether you're fine-tuning large language models (LLMs), generating synthetic datasets, or deploying real-time inference engines, Atipa’s AI Factories provide the computational muscle and architectural flexibility to support rapid iteration and scalable experimentation.

With native support for leading AI and deep learning frameworks such as PyTorch, TensorFlow, and NVIDIA DIGITS, our platforms deliver the throughput, scalability, and adaptability essential for enterprise-grade generative AI development. From research labs to production environments, Atipa empowers innovators to push the boundaries of what’s possible with AI.

Infrastructure Built for the Generative AI Revolution

Generative AI is revolutionizing the way organizations produce content, accelerate innovation, and deliver personalized customer experiences. From crafting human-like text to generating hyper-realistic images and powering intelligent assistants, these technologies are redefining what’s possible across industries. However, training large language models, diffusion-based image generators, and multimodal AI systems demands infrastructure capable of managing billions of parameters, processing petabytes of data, and sustaining high-performance throughput over extended training cycles that can span weeks or even months. As enterprises increasingly pursue proprietary models and fine-tune foundation models to meet domain-specific needs, the limitations of cloud-based solutions become more apparent. Unpredictable costs, data sovereignty concerns, and constrained resource availability are driving a shift toward dedicated, on-premises AI Factory infrastructure.

Optimized Architecture for Training and Inference at Scale

Atipa Technologies' AI Factory solutions for Generative AI are purpose-engineered to support both the intensive training workflows and high-throughput inference demands that modern GenAI applications require. Our integrated systems combine the latest GPU accelerators with high-bandwidth networking fabrics and massive-scale storage architectures. Whether you're pre-training foundation models from scratch, conducting large-scale fine-tuning experiments, or deploying inference clusters to serve millions of users, our AI Factories deliver the performance density, reliability, and efficiency your organization needs to compete in the generative AI era.

From Pilot Projects to Production-Scale Deployment

We partner with organizations at every stage of their generative AI journey—from teams launching their first model training initiatives to enterprises deploying production inference infrastructure serving mission-critical applications. Atipa's approach combines deep technical expertise in GPU cluster design and proven deployment methodologies to deliver AI Factory solutions that not only meet your current needs but scale efficiently as your GenAI ambitions grow. Our comprehensive support—from initial architecture design through deployment—ensures your teams can focus on innovation while we ensure your infrastructure performs flawlessly.

Why NVIDIA RTX PRO™ Blackwell?

The Blackwell architecture represents a leap forward in GPU design, purpose-built for the AI reasoning era. Key features include: 

• Second-Generation Transformer Engine: Accelerates LLMs and Mixture-of-Experts models with FP4 precision and micro-tensor scaling.

• Ultra Tensor Cores: Deliver up to 2× attention-layer acceleration and 1.5× more AI compute FLOPS than previous generations. 

• Enhanced precision support: New FP4 format which can reduce the memory footprint of large AI models without a significant loss in accuracy. 

• Increased efficiency: Lower-precision data types make computations faster and more power-efficient, leading to greater throughput and lower costs for large-scale AI deployment.

• Second-generation Transformer Engine: Optimized for training and inference with enormous models like LLMs and Mixture-of-Experts (MoE) architectures. 
  

Choosing the Right NVIDIA RTX PRO™ Blackwell GPU

The NVIDIA RTX PRO™ Blackwell series offers a range of professional-grade GPUs—4000, 4500, 5000, and 6000—each engineered each to meet the specific performance and memory requirements of different stages in the AI lifecycle. Each GPU in the Blackwell lineup integrates seamlessly with modern AI frameworks and toolchains, including PyTorch, TensorFlow, and NVIDIA’s CUDA ecosystem. Whether you're building LLMs, training diffusion models, or deploying multimodal AI systems, there's an RTX PRO™ GPU tailored to your workload.

Comparison Table

Partner with Atipa Technologies