Data Center GPUs from NVIDIA


Advanced Clustering Technologies incorporates NVIDIA data center GPUs into the HPC systems we build for our customers. NVIDIA data center GPUs offer a powerful combination of scalability, performance, and specialized features that make them highly effective for modern data-intensive applications.

NVIDIA data center GPUs are renowned for several key features that make them highly effective for various data center applications:

High Performance: NVIDIA GPUs, especially the A100 and H100 Tensor Core GPUs, deliver exceptional processing power, which is crucial for handling large-scale computations, training complex AI models, and running high-performance computing (HPC) workloads.

AI and Machine Learning Optimization: These GPUs are optimized for AI and machine learning tasks, with specialized hardware like Tensor Cores that accelerate matrix operations and deep learning algorithms. This optimization significantly speeds up training and inference for neural networks.

Scalability: NVIDIA GPUs are designed to scale efficiently across multiple GPUs, which allows data centers to build powerful systems that can tackle massive datasets and high-demand applications.

Versatility: NVIDIA offers a range of GPUs suited for different tasks within data centers, from general-purpose computing to specialized AI and deep learning applications. This versatility allows organizations to choose GPUs that best fit their specific needs.

NVLink and NVSwitch: NVIDIA’s NVLink and NVSwitch technologies provide high-bandwidth, low-latency communication between GPUs, which enhances multi-GPU setups and allows for efficient data sharing and processing across a cluster.

Software Ecosystem: NVIDIA provides a comprehensive software stack, including CUDA (Compute Unified Device Architecture), cuDNN (CUDA Deep Neural Network library), and TensorRT, which streamline development and optimization for GPU-accelerated applications.

Energy Efficiency: Despite their high performance, NVIDIA GPUs are designed to be energy efficient, which helps data centers manage power consumption and cooling requirements 

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NVIDIA H100

Performance leap
for AI and HPC

NVIDIA L40S

 Offers AI graphics performance
for generative AI

NVIDIA RTX

The world’s first
ray tracing GPU

NVIDIA H100:
Order-of-magnitude Performance Leap

NVIDIA announced its new NVIDIA H100 Tensor Core GPU based on the new NVIDIA Hopper GPU architecture during today’s GTC keynote address. H100 carries over the major design focus of A100 to improve strong scaling for AI and HPC workloads, with substantial improvements in architectural efficiency.

For today’s mainstream AI and HPC models, H100 with InfiniBand interconnect delivers up to 30x the performance of A100. The new NVLink Switch System interconnect targets some of the largest and most challenging computing workloads that require model parallelism across multiple GPU-accelerated nodes to fit. These workloads receive yet another generational performance leap, in some cases tripling performance yet again over H100 with InfiniBand.

The new Tensor Cores are up to 6x faster chip-to-chip compared to A100, including per-SM speedup, additional SM count, and higher clocks of H100. 

Download the NVIDIA H100 data sheet.

NVIDIA L40S:
NVIDIA L40S: Offers AI graphics performance for generative AI

The L40S is designed to meet the needs of your generative Ai, LLM training and inference, and data science workloads.



The L40S is based on the Ada Lovelace architecture with 48FB GDDR6 memory.

It offers accelerated graphics performance with third generation RTX and DLSS 3.
Its four generation tensor cores and transformer engine with FP8 means the L40S is data center ready. 



The L40S is available in a wide range of server configurations from 1 to 10 GPUs. 


GPU Computing with the NVIDIA Tesla; Educational discounts are available here

Advanced Clustering Technologies is offering educational discounts on NVIDIA A100 GPU accelerators.

Higher performance with fewer, lightning-fast nodes enables data centers to dramatically increase throughput while also saving money.

Advanced Clustering’s GPU clusters consist of our innovative ACTblade compute blade products and NVIDIA GPUs. Our modular design allows for mixing and matching of GPU and CPU configurations while at the same time preserving precious rack and datacenter space.

Contact us today to learn more about the educational discounts and to determine if your institution qualifies.

NVIDIA, the NVIDIA logo, and are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. © 2021 NVIDIA Corporation. All rights reserved.

GPU Computing Systems for AI and HPC

ACTserv x2440c

ACTserv x2440c is a flexible 2U dual socket “Sapphire Rapids” Xeon system with support for 4x dual slot GPUs for AI training or 8x single slot GPUs for AI inference.

  • CPU

    2x up to 60 core Intel Xeon (Sapphire Rapids)

  • MEMORY

    16x DDR5 4800MHz DIMM sockets (Max: 2 TB)

  • STORAGE

    2x 3.5″ & 4x 2.5″ SATA,SSD,NVMe drive bays (Max: 61 TB)

  • ACCELERATORS

    Max 4x NVIDIA Tesla, AMD accelerators

  • CONNECTIVITY

    Onboard 2x 10Gb NICs & Optional: 10GbE, InfiniBand, OmniPath, 100GbE, 50GbE

  • DENSITY

    2U rackmount chassis with redundant power

ACTserv x4411c

Our ACTserv x4411c is a GPU powerhouse for AI and HPC with 2x Intel Xeon Sapphire Rapids series CPUs and up to 8x GPUs

  • CPU

    2x up to 60 core Intel Xeon (Sapphire Rapids)

  • MEMORY

    32x DDR5 4800MHz DIMM sockets (Max: 4 TB)

  • STORAGE

    8x 3.5″SATA,NVMe drive bays (Max: 50 TB)

  • ACCELERATORS

    Max 8x NVIDIA Tesla accelerators

  • CONNECTIVITY

    Onboard 2x 10Gb NICs & Optional: 10GbE, 40GbE, InfiniBand, OmniPath, 100GbE

  • DENSITY

    4U rackmount chassis with redundant power

ACTserv e4411c

Our ACTserv e4411c is a GPU powerhouse for AI and HPC with 2x AMD EPYC Genoa 9004 series CPUs and up to 8x GPUs

  • CPU

    2x up to 128 core AMD EPYC Genoa/Bergamo

  • MEMORY

    24x DDR5 4800MHz DIMM sockets (Max: 3 TB)

  • STORAGE

    8x 3.5″SATA,NVMe drive bays (Max: 176 TB)

  • ACCELERATORS

    Max 8x NVIDIA Tesla accelerators

  • CONNECTIVITY

    Onboard 2x 10Gb NICs & Optional: 10GbE, InfiniBand, OmniPath, 100GbE, 50GbE

  • DENSITY

    4U rackmount chassis with redundant power

ACTserv e2471c

Our ACTserv e2471c is a perfect balance for AI and HPC applications with 1x AMD EPYC Genoa/Bergamo CPUs, 4x GPUs and storage.

  • CPU

    1x up to 128 core AMD EPYC Genoa/Bergamo

  • MEMORY

    12x DDR5 4800MHz DIMM sockets (Max: 1.501953125 TB)

  • STORAGE

    6x 3.5″SATA,SSD,NVMe drive bays (Max: 92 TB)

  • ACCELERATORS

    Max 4x NVIDIA Tesla accelerators

  • CONNECTIVITY

    Onboard 2x 1Gb NICs & Optional: 10GbE, InfiniBand, OmniPath, 100GbE, 50GbE

  • DENSITY

    2U rackmount chassis with redundant power

NVIDIA A100 Features and Benefit

Increased Performance

The new NVIDIA Ampere architecture enables the A100 to deliver the highest absolute performance for HPC and Artificial Intelligence (AI) workloads.

Stronger Memory Performance

Available in 40GB and 80GB memory versions, A100 80GB debuts the world’s fastest memory bandwidth at over 2 terabytes per second (TB/s) to run the largest models and datasets.

Scalable Applications

NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale to power the world’s highest-performing elastic data centers for AI, data analytics, and HPC.

Simpler Programming

Businesses can access an end-to-end, cloud-native suite of  AI and data analytics software that’s  optimized, certified, and supported by NVIDIA to run on VMware vSphere  with  NVIDIA-Certified  Systems.

Note about GPU warranties: Manufacturer’s warranty only; Advanced Clustering Technologies does not warranty consumer-grade GPUs.

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