NVIDIA A100 SXM4 40GB Tensor Core GPU module — MPN 900-2G509-A500-000 — is an AI/HPC accelerator card built on the NVIDIA Ampere GA100 architecture in the SXM4 form factor. This is a server-grade GPU module designed for installation on NVIDIA HGX A100 baseboards (such as the 8-GPU 935-23587-0000-000 or 4-GPU baseboards) and DGX A100 systems. It is NOT a PCIe add-in card and cannot be installed in a standard PCIe x16 slot. Sold by T.E.S IT-SOLUTIONS in NEW condition with quantity available for immediate procurement.
Engineering Context. The 900-2G509-A500-000 delivers 19.5 TFLOPS FP32 and 9.7 TFLOPS FP64 throughput, with third-generation Tensor Core acceleration providing 156 TFLOPS TF32 (312 TFLOPS with structural sparsity), 312 TFLOPS BF16/FP16 (624 TFLOPS with sparsity), and 624 TOPS INT8 (1,248 TOPS with sparsity). Memory subsystem combines 40GB HBM2e on a 5,120-bit bus delivering 1,555 GB/s of bandwidth, backed by 40MB of L2 cache. Multi-Instance GPU (MIG) technology partitions a single A100 into up to seven isolated GPU instances of 5GB each, each with dedicated SM, memory, and bandwidth resources. NVLink 3rd generation provides 600 GB/s GPU-to-GPU bidirectional bandwidth for multi-GPU scaling. Built on TSMC 7nm process with 54.2 billion transistors, 6,912 CUDA cores, 432 third-generation Tensor Cores, and 400W TDP.
Deployment & Use Cases. The A100 SXM4 40GB targets large-scale AI training (BERT, GPT-class transformer models, recommendation systems such as DLRM), AI inference at scale, deep learning frameworks (PyTorch, TensorFlow, JAX), HPC simulation workloads (molecular dynamics, computational fluid dynamics, weather modeling, quantum chemistry via VASP, GROMACS, NAMD, Amber), data analytics on RAPIDS/Dask/BlazingSQL, and CUDA-accelerated rendering. Specifically engineered for NVIDIA HGX A100 4-GPU and 8-GPU server platforms, NVIDIA DGX A100 systems, and OEM HGX A100 reference designs from Supermicro, Dell EMC, HPE, Lenovo, and Inspur.
Technical Specifications.
Architecture: NVIDIA Ampere (GA100)
Process: TSMC 7nm, 54.2 billion transistors
CUDA Cores: 6,912
Tensor Cores: 432 (3rd Generation)
FP32 Performance: 19.5 TFLOPS
FP64 Performance: 9.7 TFLOPS
FP64 Tensor Core: 19.5 TFLOPS
TF32 Tensor Core: 156 TFLOPS / 312 TFLOPS with sparsity
BF16/FP16 Tensor Core: 312 TFLOPS / 624 TFLOPS with sparsity
INT8 Tensor Core: 624 TOPS / 1,248 TOPS with sparsity
Memory: 40GB HBM2e
Memory Bandwidth: 1,555 GB/s
Memory Bus: 5,120-bit
L2 Cache: 40MB
NVLink: 3rd Generation, 600 GB/s GPU-to-GPU bidirectional
Host Interface: PCIe Gen 4.0 x16 via HGX baseboard
Multi-Instance GPU (MIG): Up to 7 instances
Form Factor: SXM4
Max TDP: 400W
Cooling: Passive heatsink, requires server-grade airflow
Condition: New
Compatibility & Hard Constraints. The 900-2G509-A500-000 is an SXM4-form-factor GPU module and IS NOT a PCIe card — it cannot be installed in any standard PCIe x16 slot. It requires an NVIDIA HGX A100 baseboard (such as the 8-GPU baseboard 935-23587-0000-000 or 4-GPU equivalents) or an NVIDIA DGX A100 chassis. The module connects to the host through the HGX baseboard's NVLink/NVSwitch fabric and PCIe Gen 4.0 x16 host interface; there is no individual PCIe edge connector. NVLink Bridge cables used for A100 PCIe variants are NOT compatible with SXM4 modules. The predecessor in this form factor is the V100 SXM2 (MPN 900-2G503-A500-000); the in-family successor is the A100 SXM4 80GB and the next-generation H100 SXM5 (Hopper). For deployments requiring a standard PCIe slot, the A100 PCIe variant is a separate SKU and is not interchangeable. Power delivery is sourced from the HGX baseboard, not from PCIe auxiliary connectors.
Why Choose T.E.S IT-SOLUTIONS. T.E.S IT-SOLUTIONS supplies the NVIDIA A100 SXM4 40GB MPN 900-2G509-A500-000 in NEW condition with handling time of 1 to 3 business days. Each unit is inspected and verified prior to dispatch. We provide global shipping, technical procurement consultation for HGX A100 platform builds, and support for system integrators and data center operators sourcing AI/HPC accelerator hardware. Visit tes-itsolutions.com for current stock and pricing across the NVIDIA A100 family.