NVIDIA A10 24GB GDDR6 PCIe Gen4 Enterprise GPU

NVIDIA A10 24GB GDDR6 PCIe Gen4 Enterprise GPU

Brand: NVIDIA | Category: GPUs

SKU: 900-2G133-0000-100 | Part #: 900-2G133-0000-100 | MPN: 900-2G133-0000-100

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About the NVIDIA A10 24GB GDDR6 PCIe Gen4 Enterprise GPU

Enterprise AI inference and real-time visualization workloads demand GPU architecture that balances memory capacity with sustained throughput—making the NVIDIA A10 24GB GDDR6 PCIe Gen4 Enterprise GPU an ideal foundation for data centers running concurrent inference tasks and high-resolution graphics pipelines. Built on the NVIDIA Ampere architecture, this GPU delivers 9,216 CUDA cores paired with 288 third-generation Tensor Cores and 72 second-generation RT Cores, engineered to accelerate mixed-precision inference, machine learning model serving, and professional visualization at enterprise scale.

The A10 offers substantial memory bandwidth—600 GB/s across a 384-bit memory interface—supporting batch inference and multi-stream workloads without memory contention. With 24 GB of GDDR6 memory, infrastructure teams can deploy larger models or process higher-throughput concurrent requests. The GPU's PCIe Gen4 x16 host interface ensures rapid data movement between compute nodes, while passive cooling (requiring an airflow-optimized server chassis) and a 150 W thermal design power footprint make it suitable for dense multi-GPU cluster deployments. Four DisplayPort 1.4 outputs enable 8K display output at up to 7680 x 4320 resolution, supporting remote visualization and digital content creation pipelines. IT procurement teams and AI infrastructure architects will recognize the dual-slot, full-height full-length form factor as standard for enterprise GPU acceleration.

Key Specifications

  • Manufacturer Part Number: 900-2G133-0000-100
  • GPU Memory: 24 GB GDDR6 with 600 GB/s bandwidth
  • Host Interface: PCIe Gen4 x16
  • Compute Performance: 31.2 TFLOPS (FP32); 125 TFLOPS (FP16 Tensor Core); 250 TOPS (INT8 Tensor Core)
  • Power Requirements: 150 W TDP; 250 W total board power
  • Display Outputs: 4x DisplayPort 1.4 supporting up to 7680 x 4320 resolution

For detailed technical datasheets, performance benchmarks, and deployment guidance, contact Omnixon Global to request a quotation.

Technical Specifications

BrandNVIDIA
CategoryGPUs
SKU900-2G133-0000-100
Part Number900-2G133-0000-100
ConditionNew
Manufacturer Part Number900-2G133-0000-100
GPU ArchitectureNVIDIA Ampere
CUDA Cores9,216
Tensor Cores288 (3rd Generation)
RT Cores72 (2nd Generation)
GPU Memory24 GB GDDR6
Memory Bandwidth600 GB/s
Memory Interface384-bit
Host InterfacePCIe Gen4 x16
FP32 Performance31.2 TFLOPS
TF32 Tensor Core Performance62.5 TFLOPS (sparsity: 125 TFLOPS)
FP16 Tensor Core Performance125 TFLOPS (sparsity: 250 TFLOPS)
INT8 Tensor Core Performance250 TOPS (sparsity: 500 TOPS)
Thermal Design Power (TDP)150 W
System Interface Power250 W (total board power)
Form FactorDual-slot, full-height full-length (FHFL)
CoolingPassive (requires airflow-optimized server chassis)
Display Outputs4x DisplayPort 1.4
Max Display Resolution7680 x 4320 (8K)
vGPU Software SupportYes (NVIDIA Virtual PC, Virtual Apps, RTX vWS, vCS)
ECC MemoryYes
NVLink SupportNot supported

Frequently Asked Questions about NVIDIA A10 24GB GDDR6 PCIe Gen4 Enterprise GPU

What server platforms accept the NVIDIA A10 24GB GDDR6 PCIe Gen4 Enterprise GPU?

Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.

How long is the lead time on AI GPUs?

Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.

Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?

Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.

Can you help with NVIDIA AI Enterprise licensing?

Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.