AI is revolutionizing cybersecurity, healthcare, platform sustainment, digital twins, disaster relief, and more in the public sector. Channeling innovation through NVIDIA GPU acceleration and AI technology makes it possible to turn federal datasets into breakthroughs, enabling government leaders to solve their greatest challenges and build solutions that make communities safer and more connected everywhere.

Why ThunderCat & NVIDIA?

ThunderCat in partnership with NVIDIA offers federal organizations a comprehensive portfolio of solutions to help them meet their goals, whether they concern artificial intelligence, cloud migration, cybersecurity or data management and analytics.

Here are a few solutions from NVIDIA that service a wide array of federal mission and IT modernization needs:

AI-Ready Enterprise Platform from NVIDIA
The NVIDIA AI Enterprise software suite enables government agencies to harness the power of AI, even if they don’t have AI expertise today. Optimized to streamline AI development and deployment, NVIDIA AI Enterprise includes proven, open-source containers and frameworks, certified to run on common data center platforms from VMware and Red Hat, mainstream NVIDIA-Certified Systems™ configured with GPUs or CPU-only, and on the public cloud. Since support is included, organizations benefit from the transparency of open source and the assurance that they can get help from the global NVIDIA Enterprise Support team to keep their AI projects on track. With the NVIDIA AI Enterprise software suite, AI is accessible to organizations of any size, and provides the compute power, tools, and support that organizations need to focus on creating AI business value.

NVIDIA DGX
The NVIDIA DGX is a series of high-performance computing systems designed for artificial intelligence (AI) and deep learning workloads. These systems are built with NVIDIA’s latest GPU technology, optimized software, and advanced AI frameworks to accelerate data science, training, and inference tasks.

Key Features:

  1. High-Performance GPUs: DGX systems utilize NVIDIA’s advanced GPUs, like the A100 or H100 Tensor Core GPUs, which provide exceptional computational power for deep learning tasks.
  2. Software Stack: NVIDIA DGX includes a complete software stack, including the NVIDIA GPU Cloud (NGC), which offers a range of AI frameworks, pre-trained models, and application containers to facilitate AI development and deployment.
  3. Scalability: The DGX systems are designed for scalability, allowing organizations to build AI infrastructure from a single node to large, multi-node AI supercomputers.
  4. Integrated Networking: They come with high-bandwidth, low-latency networking options, such as NVIDIA’s Mellanox InfiniBand, for efficient data transfer and scaling in large clusters.