Nvidia

The NVIDIA L40S Tensor Core GPU is a high-performance accelerator designed for AI, graphics, and high-performance computing workloads in data centers. Built on the NVIDIA Ada Lovelace architecture, it features 18,176 CUDA cores, 568 fourth-generation Tensor Cores, and 142 third-generation RT Cores. Equipped with 48 GB of GDDR6 memory and a memory bandwidth of 864 GB/s, the L40S delivers exceptional performance for a wide range of applications. It supports advanced precision formats, including FP8, FP16, BF16, and TF32, achieving up to 1,466 TFLOPS of FP8 Tensor performance with sparsity.

The NVIDIA A100 80GB PCIe Tensor Core GPU is engineered to accelerate AI, data analytics, and high-performance computing (HPC) workloads. Built on the NVIDIA Ampere architecture, it features 6,912 CUDA cores and 432 third-generation Tensor Cores, delivering up to 19.5 TFLOPS of FP64 performance and 312 TFLOPS of FP32 performance. The GPU is equipped with 80 GB of HBM2e memory, providing a memory bandwidth of up to 2 TB/s, facilitating rapid data processing for complex AI models and large datasets. Its support for Multi-Instance GPU (MIG) technology allows partitioning into up to seven isolated GPU instances, enabling optimal resource utilization across diverse workloads

The NVIDIA A100 80GB SXM Tensor Core GPU is engineered to accelerate AI, data analytics, and high-performance computing (HPC) workloads. Built on the NVIDIA Ampere architecture, it features 6,912 CUDA cores and 432 third-generation Tensor Cores, delivering up to 19.5 TFLOPS of FP64 performance and 312 TFLOPS of FP32 performance. The GPU is equipped with 80 GB of HBM2e memory, providing a memory bandwidth of up to 2 TB/s, facilitating rapid data processing for complex AI models and large datasets. 

The NVIDIA HGX B300 Blackwell Platform is NVIDIA’s most powerful AI computing platform, purpose-built for trillion-parameter AI model training and real-time inference at scale. Featuring 16 Blackwell Ultra GPUs interconnected via 5th-Gen NVLink delivering 1.8 TB/s of GPU-to-GPU bandwidth, it supports up to 2.3 TB of high-speed HBM3e memory.

The NVIDIA HGX B200 Blackwell Platform is a high-performance, rack-scale AI infrastructure solution designed for large-scale machine learning and data center applications. It features NVIDIA Blackwell B200 GPUs, up to 1.44 TB of GPU memory, and advanced networking with 400 Gb/s connectivity. Powered by dual Intel Xeon Platinum processors, it delivers up to 72 petaFLOPS of FP8 training performance.

The NVIDIA HGX H200 is a high-performance computing platform designed for AI training and inference, as well as high-performance computing (HPC) workloads. It features the NVIDIA H200 Tensor Core GPU, built on the Hopper architecture. This platform offers substantial improvements in computational power, memory bandwidth, and interconnect capabilities compared to its predecessors.

The NVIDIA DGX Spark is a compact AI supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip. It delivers up to 1,000 AI TOPS (Tera Operations Per Second) of FP4 performance, making it suitable for tasks such as fine-tuning, inference, and prototyping of large AI models with up to 200 billion parameters. The system features 128 GB of unified LPDDR5x memory with a 256-bit interface and 273 GB/s memory bandwidth. Storage options include 1 TB or 4 TB NVMe M.2 SSDs with self-encryption

The NVIDIA DGX Station is a powerful AI workstation designed to bring data center-level AI performance to office environments. It features four NVIDIA Tesla V100 GPUs, each with 16GB of HBM2 memory, providing a total of 64GB of GPU memory. The system is powered by an Intel Xeon E5-2698 v4 processor with 20 cores, delivering exceptional computational capabilities. With 256GB of DDR4 system memory and a storage configuration of 3x 1.92TB SSDs in RAID 0 for data and 1x 1.92TB SSD for the operating system, the DGX Station ensures fast data access and processing.

The NVIDIA IGX Orin 700 is an industrial-grade edge AI platform designed for mission-critical applications in sectors such as healthcare, transportation, and industrial automation. It combines high-performance computing with advanced functional safety and security features. Powered by the NVIDIA Orin SoC, it integrates a 12-core Arm Cortex-A78AE CPU and a 2048-core NVIDIA Ampere architecture GPU with 64 Tensor Cores, delivering up to 1705 TOPS of AI performance. 

The NVIDIA IGX Orin 500 is an industrial-grade edge AI platform designed for mission-critical applications in sectors such as healthcare, transportation, and industrial automation. It combines high-performance computing with advanced functional safety and security features. Powered by the NVIDIA Orin SoC, it integrates a 12-core Arm Cortex-A78AE CPU and a 2048-core NVIDIA Ampere architecture GPU with 64 Tensor Cores, delivering up to 1705 TOPS of AI performance.