AIME A4000 - Multi GPU HPC Rack Server
The AIME A4000 is an enterprise Deep Learning server based on the ASUS ESC4000A-E10, configurable with up to 4 of the most advanced deep learning accelerators and GPUs to enter the Peta FLOPS HPC computing area with more then 4 Peta TensorOps Deep Learning performance. Packed into a dense form factor of 2 height units, EPYC CPU performance, the fastest PCI 4.0 bus speeds and 10GB network connectivity.
Built to perform 24/7 at your inhouse data center or co-location for most reliable high performance computing.
AIME A4000 - Deep Learning Server
If you are looking for a server specialized in maximum deep learning training, interference performance and for the highest demands in HPC computing, the AIME A4000 multi-GPU 2U rack server takes on the task of delivering.
The AIME A4000 is basend on the new ASUS ESC4000A-E10 barebone which is powered by an AMD EPYC™ 7002 processor with up to 64 cores, 128 threads.
Its GPU-optimized design with high air flow cooling allows the use of four high-end double-slot GPUs like the NVIDIA A100, Tesla or Quadro GPU models.
Definable GPU Configuration
Choose the desired confguration among the most powerfull NVIDIA GPUs for Deep Learning:
2-4x NVIDIA A100
The Nvidia A100 is the flagship of Nvidia Ampere processor generation. With its 6912 CUDA cores, 432 Third-generation Tensor Cores and 40 GB of highest bandwith HBM2 memory a single A100 is breaking the Peta TOPS performane barrier. 4 of those add up to more then 1000 teraFLOPS fp32 performance.
2-4x NVIDIA RTX 3090
The GeForce RTX™ 3090 is a big ferocious GPU (BFGPU) with TITAN class performance. It’s powered by NVIDIA's Ampere 2nd gen RTX architecture—doubling down AI performance with 10496 CUDA cores, 328 Third-generation Tensor Cores, and new streaming multiprocessors. It features 24 GB of GDDR6X memory.
2-4x Tesla V100S
The Tesla V100S is the flapgship of the Volta GPU processor series which takes on any Turing based GPU. With its 640 Tensor Core and 32 GB of highest bandwith HBM2 memory the Tesla V100 was the first beyond 100 teraFLOPS (TFLOPS) GPU available.
2-4x NVIDIA Quadro RTX 6000
The Quadro RTX 6000 is the server edition of the popular high end Nvidia Titan RTX, with improved multi GPU blower ventilation, additional virtualization capabilities and ECC memory. It is powered by the same Turing™ core as the Titan RTX with 576 tensor cores, delivering 130 Tensor TFLOPs of performance and 24 GB of ultra-fast GDDR6 ECC memory.
2-4x NVIDIA RTX A6000
The NVIDIA RTX A6000 is the Ampere based refresh of the Quadro RTX 6000. It features the same GPU processor (GA-102) as the RTX 3090 but with all processor cores enabled. It even outperforms the RTX 3090 with its 10752 CUDA and 336 Thrid-generation Tensor Cores. With the double amount of GPU memory compared to the Quadro RTX 6000 and the RTX 3090: 48 GB GDDR6 ECC. The NVIDIA RTX A6000 is currently the 2nd fastest available NVIDIA GPU, only topped by the NVIDIA A100, with the largest available GPU memory, best suited for the most compute and memory demanding tasks.
All NVIDIA GPUs are supported by NVIDIA’s CUDA-X AI SDK, including cuDNN, TensorRT which power nearly all popular deep learning frameworks.
EPYC CPU Performance
The high-end AMD EPYC CPU designed for servers delivers up to 64 cores with a total of 128 threads per CPU with an unbeaten price performance ratio.
The available 128 PCI 4.0 lanes of the AMD EPYC CPU allow highest interconnect and data transfer rates between the CPU and the GPUs and ensures that all GPUs are connected with full x16 PCI 4.0 bandwidth.
A large amount of available CPU cores can improve the performance dramatically in case the CPU is used for prepossessing and delivering of data to optimal feed the GPUs with workloads.
Up to 32 TB High-Speed SSD Storage
Deep Learning is most often linked to high amount of data to be processed and stored. A high throughput and fast access times to the data are essential for fast turn around times.
The AIME A4000 can be configured with up to four exchangeable U.2 NVMe triple level cell (TLC) SSDs with a capacity of up to 8 TB each. Which adds up to a total capacity of 32 TB of fastest SSD storage.
Since each of the SSDs is directly connected to the CPU and the main memory via PCI 4.0 lanes, they achieve consistently high read and write rates of 3000 MB/s.
As usual in the server sector, the SSDs have an MTBF of 2,000,000 hours and a 5-year manufacturer's guarantee.
High Connectivity and Management Interface
With the available 2 x 1 Gbit/s and 1 x 10 Gbit/s SFP+ LAN ports fastest connections to NAS resources and big data collections are achievable. Also for data interchange in a distributed compute cluster the highest available LAN connectivity is a must have.
The AIME A4000 is completely manageable with ASMB9 (out-of-band) and ASUS Control Center (in-band) makes a successful integration of the AIME A4000 into larger server clusters possible.
Optimized for Multi GPU Server Applications
The AIME A4000 offers energy efficiency with redundant platinum power supplies, which enable long time fail-safe operation.
Its thermal control technology provides more efficient power consumption for large-scale environments.
All setup, configured and tuned for perfect Multi GPU performance by AIME.
The A4000 come with preinstalled Linux OS configured with latest drivers and frameworks like Tensorflow, Keras, PyTorch and Mxnet. Ready after boot up to start right away to accelerate your deep learning application.
|Type||Rack Server 2U, 80cm depth|
EPYC 7232 (8 cores, 3.1 GHz)
EPYC 7302 (16 cores, 3.0 GHz)
EPYC 7402 (24 cores, 2.8 GHz)
EPYC 7502 (32 cores, 2.5 GHz)
EPYC 7462 (48 cores, 2. GHz)
EPYC 7742 (64 cores, 2.25 GHz)
EPYC 7313 (16 cores, 3.0 / 3.7 GHz)
EPYC 7443 (24 cores, 2.85 / 4.0 GHz)
EPYC 7543 (32 cores, 2.8 / 3.7 GHz)
EPYC 7713 (64 cores, 2.0 / 3.6 GHz)
|RAM||64 / 128 / 256 / 512 GB ECC memory|
2 to 4x NVIDIA A100 40GB or
2 to 4x NVIDIA RTX 3090 20GB or
2 to 4x NVIDIA Quadro RTX 6000 24GB or
2 to 4x NVIDIA RTX A5000 24GB or
2 to 4x NVIDIA RTX A6000 48GB or
2 to 4x Tesla V100 16GB or
2 to 4x Tesla V100S 32GB
|Cooling||CPU and GPUs are cooled with an air stream provided by 7 high performance fans > 100000h MTBF|
|Storage||Up to 4 x 8TB U.2 NVMe SSD
Tripple Level Cell (TLC) quality
3000 MB/s read, 3000 MB/s write
MTBF of 2,000,000 hours and 5 years manufacturer's warranty
2 x 1 GBit LAN RJ45
optional: 1 x 10 GBit LAN SFP+ or RJ45
1 x IPMI LAN
|USB||4 x USB 3.0 ports (front)
2 x USB 3.0 ports (back)
|PSU||2 x 1600 Watt redundant power
80 PLUS Platinum certified (94% efficiency)
|Dimensions (WxHxD)||800mm x 440mm x 88.9mm (2U)
31.50" x 17.22" x 3.5"
|Operating Environment||Operation temperature: 10℃ ~ 35℃
Non operation temperature: -40℃ ~ 70℃