AI’s next big thing is here: how QCT and NVIDIA drive agentic AI use

More than just a buzzword, agentic AI has emerged as a game-changer, enabling AI systems to operate with greater autonomy and decision-making capabilities. Using diverse large language models and sophisticated retrieval-augmented generation (RAG) stacks among other technologies, agentic AI has unlocked a wide range of new opportunities for businesses. 

Deloitte predicts that this year alone, 25% of companies that use GenAI will launch agentic AI pilots or proofs of concept (POC), with this percentage set to grow to 50% by 2027. This shouldn’t come as a surprise, since AI agents can be used for complex tasks like customer service operations, going beyond just a simple question-and-answer checklist. For example, AI agents can check a user’s outstanding balance and even recommend which accounts could pay it off, helping users make an informed decision to complete a transaction. With the ability to ingest data from various data sources, including third-party resources, AI agents can independently analyze challenges, develop strategies, and execute tasks.

Accelerating agentic AI development

 To help organizations accelerate their agentic AI applications, Quanta Cloud Technology (QCT) leverages the NVIDIA AI Enterprise, an end-to-end, cloud-native software platform, to help customers deploy agentic AI solutions across a range of infrastructures, including virtualized environments and private clouds in corporate data centers.  The NVIDIA AI Enterprise software suite features:

• NVIDIA NIM™ microservices to accelerate the deployment of foundation models securely
• NVIDIA NeMo™ tools for curating, training, customizing, and evaluating multimodal models
• NVIDIA CUDA-X™ Libraries to ensure exceptionally high performance across all AI applications

Combined with QCT’s NVIDIA-certified systems, customers can achieve a scalable platform that empowers diverse AI applications to accelerate deep learning and machine learning.

Building a cloud infrastructure that drives agentic AI forward

The benefits of leveraging AI agents across the business are undeniable, offering increased efficiency, enhanced decision-making, and streamlined operations. However, to truly reap the benefits of agentic AI, organizations must ensure they have the foundation to support and train the vast amounts of data required.

Built with NVIDIA AI Enterprise software in mind, QCT’s high-performance GPU servers, designed specifically to train AI models, will ensure that enterprises get the best of both worlds. For organizations looking for an integrated deployment approach, QCT also offers the VMware Private AI Foundation with NVIDIA: a pre-validated solution that combines VMware’s enterprise infrastructure, NVIDIA AI Enterprise software, and QCT’s powerful hardware. This offering simplifies the deployment of agentic AI in private clouds, enabling businesses to innovate faster while keeping sensitive data secure and on-premises.

QCT servers built for AI-driven innovation

In addition to pre-validated solutions, QCT delivers the hardware flexibility needed to support a wide range of AI workloads—from inference to large-scale training. QCT’s innovative architecture integrates cutting-edge technology to provide customers with the best-fit hardware configuration for diverse AI use cases across verticals.

Backed by deep infrastructure expertise, QCT offers a variety of NVIDIA and VMware-certified GPU SKUs designed to support different AI workloads. This ensures businesses can access scalable, high-performance solutions tailored to their specific AI needs. Here are two QCT products as examples:

• QuantaGrid D54U-3U (Next Generation: QuantaGrid D75E-4U)
  A versatile server designed to handle a wide range of AI workloads, it supports various PCIe-based accelerators. It accommodates up to 4 dual-width or 8 single-width GPUs. The next-gen QuantaGrid D75E-4U delivers even greater GPU compute power with support for up to 8 dual-width GPUs, including NVIDIA H200 NVL GPUs—perfect for advanced AI applications.
• QuantaGrid D74H-7U
  Engineered for large-scale AI training, this server features 8 NVIDIA H100/H200 SXM5 GPU modules on an NVIDIA HGX™ baseboard. It’s ideal for accelerating training on massive datasets and complex AI models.
  

Learn more here.