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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.
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.
Additional online resources:
GPU Computing Systems for AI and HPC
ACTserv e5413c
ACTserv e5413c is our dual AMD processor GPU/AI system with up to 92 cores.
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CPU
2x up to 92 core AMD EPYC (Turin)
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MEMORY
24x DDR5 6400MHz DIMM sockets (Max: 3 TB)
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STORAGE
6x 2.5″ SATA,NVMe drive bays (Max: 240 TB)
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ACCELERATORS
Max 8x NVIDIA Tesla, AMD, NVIDIA RTX accelerators
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CONNECTIVITY
Onboard 2x 10Gb NICs & Optional: InfiniBand, OmniPath, 25GbE/100GbE/200GbE
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DENSITY
4U 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
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CPU
2x up to 60 core Intel Xeon (Sapphire Rapids)
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MEMORY
32x DDR5 4800MHz DIMM sockets (Max: 4 TB)
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STORAGE
8x 3.5″SATA,NVMe drive bays (Max: 50 TB)
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ACCELERATORS
Max 8x NVIDIA Tesla accelerators
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CONNECTIVITY
Onboard 2x 10Gb NICs & Optional: 10GbE, 40GbE, InfiniBand, OmniPath, 100GbE
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DENSITY
4U rackmount chassis with redundant power
Ask Us About Our GPU Systems
Advanced Clustering Technologies offers a wide range of GPU solutions. Contact us for more information.
Note about GPU warranties: Manufacturer’s warranty only; Advanced Clustering Technologies does not warranty consumer-grade GPUs.