NVIDIA Mellanox
Part no.900-2G509-A500-000
€14,000.00
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How this unit is built
Received, catalogued and inspected, and checked before it ships.
See the production flowThe NVIDIA A100 40GB SXM4 Tensor Core GPU (P/N 900-2G509-A500-000) is NVIDIA's flagship Ampere-generation data-center accelerator in the SXM4 mezzanine form factor. It is built on the GA100 GPU (NVIDIA Ampere architecture, TSMC 7 nm) and pairs 6,912 CUDA Cores and 432 third-generation Tensor Cores with 40 GB of HBM2 stacked memory delivering 1,555 GB/s of memory bandwidth. As an SXM4 module, it is designed to bolt onto an NVIDIA HGX A100 4-GPU or 8-GPU baseboard, where third-generation NVLink and the NVSwitch fabric (600 GB/s GPU-to-GPU aggregate) deliver the all-reduce bandwidth needed for large-scale AI training, HPC, and data-analytics workloads.
Q. What is the NVIDIA A100 40GB SXM4 (P/N 900-2G509-A500-000)?
The 900-2G509-A500-000 is the NVIDIA A100 40GB SXM4 Tensor Core GPU — NVIDIA's Ampere-generation data-center accelerator built on the GA100 die, with 6,912 CUDA Cores, 432 third-gen Tensor Cores, 40 GB of HBM2 memory at 1,555 GB/s, and a 400 W TDP. It mounts on an HGX A100 baseboard via the SXM4 mezzanine interface.
Q. Will the A100 SXM4 fit in a standard PCIe server?
No. SXM4 is a mezzanine connector, not PCIe — the module bolts onto an NVIDIA HGX A100 baseboard. If you need a PCIe x16 form factor, NVIDIA shipped a separate PCIe A100 variant under a different P/N.
Q. How much memory and bandwidth does the 40 GB A100 SXM4 deliver?
40 GB of HBM2 on a 5,120-bit interface, with peak memory bandwidth of 1,555 GB/s. The 80 GB A100 variant uses HBM2e at roughly 2,039 GB/s and is a separate SKU under a different P/N.
Q. What workloads is the A100 40GB SXM4 designed for?
Large-scale AI training (transformers, computer vision, recommender systems), AI inference at scale, HPC (FP64 Tensor at 19.5 TFLOPS), and accelerated data analytics. With Multi-Instance GPU (MIG) it can also be partitioned into up to seven isolated GPU instances for multi-tenant inference.
Q. How does the A100 SXM4 connect to other GPUs in the chassis?
Via third-generation NVLink — 12 links per A100 delivering 600 GB/s bidirectional aggregate GPU-to-GPU bandwidth, switched through the HGX baseboard's NVSwitch fabric in 8-GPU configurations.
Q. Which HGX A100 systems is the 40GB SXM4 variant compatible with?
NVIDIA HGX A100 4-GPU and 8-GPU baseboards (40GB SXM4 variant), NVIDIA DGX A100, and OEM HGX A100 platforms such as Supermicro AS-4124GO-NART, Dell PowerEdge XE8545, HPE Apollo 6500 Gen10 Plus, Inspur NF5488A5, and Lenovo ThinkSystem SR670 V2. Verify with the OEM that the baseboard is the 40GB-rated A100 variant, not the 80GB.
Q. What NVIDIA driver and CUDA version do I need?
Minimum NVIDIA datacenter driver R450.51; R470 or R525 LTS branches are recommended for production. CUDA 11.0+ is required to access TF32, structured sparsity, and Multi-Instance GPU. Newer R535 and CUDA 12.x branches are also fully supported.
Q. What condition is supplied by T.E.S IT-SOLUTIONS?
New, factory-sealed in original NVIDIA packaging where included. Every unit is identified by MPN and family before shipping. EU stock, professional anti-static packaging, and global B2B express shipping.
T.E.S IT-SOLUTIONS is a Europe-based data-center networking and accelerator specialist serving HPC, AI, and enterprise procurement teams since 2007. Every GPU, NIC, switch, and cable is identified by MPN, vendor P/N, and silicon generation before it ships, and every customer gets free pre-sale compatibility advice for HGX baseboard selection, NVLink topology, and interconnect pairing. EU stock with worldwide express shipping, multi-currency B2B invoicing, and direct access to our engineering team for cluster-design questions. See tes-itsolutions.com.
