Exxact TensorEX 4U NVIDIA MGX™ Server - 2x AMD EPYC 9005 Series - TS4-190785987
The TensorEX TS4-190785987 is a 4U NVIDIA MGX™ server supporting 2x AMD EPYC 9005 Series processors and 24x DDR5 memory slots.
Training, building, and deploying Deep Learning and AI models can solve complex problems with less coding. Whether it's data collection, annotation, training, or evaluation, leverage the immense parallelism GPUs offer to parse, train, and evaluate at extremely high throughput. Process massive datasets faster with multi-GPU configurations to develop AI models that surpass any other form of computing.
Facilitate any stage of Scientific Research, from data preparation, visualizing structural biology, to conducting complex MD simulations. Leverage GPUs to speed up calculations and research, and encourage the use of AI to solve or accelerate complex workflows such as protein structure prediction, building new molecules, and exponentially accelerating genome sequencing.
Engineering and Simulation software suites are notorious for their computationally intensive requirements. Your system should never hold you back from designing and refining the next big thing. Leverage high core count CPUs, ample RAM, and the top-of-the-line GPUs to accelerate CFD, FEA, electronics simulation, and more.
Running 3D design, rendering, and immersive visualization workloads has solidified their place in media and entertainment, simulation training, architectural design, and more. As digital assets get larger and more complex, your system should handle that intensity. Exxact workstation and server platforms are configurable to address your performance needs so you can focus on being creative, innovative, and productive.
5th Generation AMD EPYC 9005™ series CPU
Up to 192 Core, 382 Threads of Unprecedented Performance and Efficiency
Data centers requiring the best speed, security, and scalability gravitate to AMD EPYC™. The 5th Generation AMD EPYC™ delivers leadership memory bandwidth, capacity, and next-generation I/O with up to 160 PCIe 5.0 lanes and CXL 2.0 for system memory expansion. Train dense AI models, execute highly complex simulations, and power your zero-downtime data center with confidence.
- Highly density EPYC processors with up to 192 Zen 5c Cores (EPYC 9965) or 128 traditional Zen 5 cores (EPYC 9755).
- Extraordinarily performant EPYC processors boosting up to 5.00GHz on 64 cores (EPYC 9575F).
- Expansive stack of processors for targeting your unique workload
- Consolidate your data center and reduce your carbon footprint with core density and efficiency.
Configure this Platform or Contact Sales for Compatibility
Model | Host Interface | Standard Memory | Memory Bandwidth | CUDA Cores | Tensor Cores | Single Precision (TFLOPS) | Double Precision (TFLOPS) | AI Performance | Power |
|---|---|---|---|---|---|---|---|---|---|
| RTX PRO 6000 Blackwell Server | PCIe 5.0 x16 | 96 GB GDDR7 ECC | 1.6 TB/s | 24064 | 752 | 120 | 1.97 | 4000 TOPS (FP4) | Up to 600 W |
| H200 NVL | PCIe 5.0 x16 | 141 GB HBM3e | 4.8 TB/s | 16896 | 528 | 60 | 30.2 | 3,341 TFLOPS (FP8) | Up to 600 W |
| H100 | PCIe 5.0 x16 | 80 GB HBM2e | 2 TB/s | 14592 | 456 | 51 | 25.6 | 3,341 TFLOPS (FP8) | Up to 400 W |
| L40S | PCIe 4.0 x16 | 48 GB GDDR6 | 864 GB/s | 18176 | 568 | 92 | 1.41 | 1,466 TFLOPS (FP8) | 300W |
| L40 | PCIe 4.0 x16 | 48 GB GDDR6 | 864 GB/s | 18176 | 568 | 91 | 1.41 | 724 TFLOPS (FP8) | 300W |
| L4 | PCIe 4.0 x16 | 24 GB GDDR6 | 300 GB/s | 7424 | 240 | 30 | 0.47 | 485 TFLOPS (FP8) | 72W |
About
The TensorEX TS4-190785987 is a 4U NVIDIA MGX™ server supporting 2x AMD EPYC 9005 Series processors and 24x DDR5 memory slots.
Training, building, and deploying Deep Learning and AI models can solve complex problems with less coding. Whether it's data collection, annotation, training, or evaluation, leverage the immense parallelism GPUs offer to parse, train, and evaluate at extremely high throughput. Process massive datasets faster with multi-GPU configurations to develop AI models that surpass any other form of computing.
Facilitate any stage of Scientific Research, from data preparation, visualizing structural biology, to conducting complex MD simulations. Leverage GPUs to speed up calculations and research, and encourage the use of AI to solve or accelerate complex workflows such as protein structure prediction, building new molecules, and exponentially accelerating genome sequencing.
Engineering and Simulation software suites are notorious for their computationally intensive requirements. Your system should never hold you back from designing and refining the next big thing. Leverage high core count CPUs, ample RAM, and the top-of-the-line GPUs to accelerate CFD, FEA, electronics simulation, and more.
Running 3D design, rendering, and immersive visualization workloads has solidified their place in media and entertainment, simulation training, architectural design, and more. As digital assets get larger and more complex, your system should handle that intensity. Exxact workstation and server platforms are configurable to address your performance needs so you can focus on being creative, innovative, and productive.
5th Generation AMD EPYC 9005™ series CPU
Up to 192 Core, 382 Threads of Unprecedented Performance and Efficiency
Data centers requiring the best speed, security, and scalability gravitate to AMD EPYC™. The 5th Generation AMD EPYC™ delivers leadership memory bandwidth, capacity, and next-generation I/O with up to 160 PCIe 5.0 lanes and CXL 2.0 for system memory expansion. Train dense AI models, execute highly complex simulations, and power your zero-downtime data center with confidence.
- Highly density EPYC processors with up to 192 Zen 5c Cores (EPYC 9965) or 128 traditional Zen 5 cores (EPYC 9755).
- Extraordinarily performant EPYC processors boosting up to 5.00GHz on 64 cores (EPYC 9575F).
- Expansive stack of processors for targeting your unique workload
- Consolidate your data center and reduce your carbon footprint with core density and efficiency.
Configure this Platform or Contact Sales for Compatibility
Model | Host Interface | Standard Memory | Memory Bandwidth | CUDA Cores | Tensor Cores | Single Precision (TFLOPS) | Double Precision (TFLOPS) | AI Performance | Power |
|---|---|---|---|---|---|---|---|---|---|
| RTX PRO 6000 Blackwell Server | PCIe 5.0 x16 | 96 GB GDDR7 ECC | 1.6 TB/s | 24064 | 752 | 120 | 1.97 | 4000 TOPS (FP4) | Up to 600 W |
| H200 NVL | PCIe 5.0 x16 | 141 GB HBM3e | 4.8 TB/s | 16896 | 528 | 60 | 30.2 | 3,341 TFLOPS (FP8) | Up to 600 W |
| H100 | PCIe 5.0 x16 | 80 GB HBM2e | 2 TB/s | 14592 | 456 | 51 | 25.6 | 3,341 TFLOPS (FP8) | Up to 400 W |
| L40S | PCIe 4.0 x16 | 48 GB GDDR6 | 864 GB/s | 18176 | 568 | 92 | 1.41 | 1,466 TFLOPS (FP8) | 300W |
| L40 | PCIe 4.0 x16 | 48 GB GDDR6 | 864 GB/s | 18176 | 568 | 91 | 1.41 | 724 TFLOPS (FP8) | 300W |
| L4 | PCIe 4.0 x16 | 24 GB GDDR6 | 300 GB/s | 7424 | 240 | 30 | 0.47 | 485 TFLOPS (FP8) | 72W |