NVIDIA A2 16GB GDDR6 PCIe 4.0 – Dell PowerEdge R650xs

NVIDIA A2 16GB GDDR6 PCIe 4.0 – Dell PowerEdge R650xs

Brand: Dell | Category: GPUs

SKU: 900-2G172-0040-000 | Part #: 900-2G172-0040-000 | MPN: 900-2G172-0040-000

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About the NVIDIA A2 16GB GDDR6 PCIe 4.0 – Dell PowerEdge R650xs

The NVIDIA A2 16GB GDDR6 PCIe 4.0, offered in a Dell PowerEdge R650xs-validated configuration, is a low-profile, single-slot GPU built on the NVIDIA Ampere architecture. Delivering 250 TOPS of INT8 inference performance and 31.2 TFLOPS of FP32 compute, it is engineered for dense server deployments where power envelope and physical footprint are critical constraints. With 16 GB of GDDR6 memory across a 128-bit memory bus, the A2 provides 200 GB/s of memory bandwidth, enabling efficient handling of mid-scale AI inference models and real-time video analytics workloads within mainstream rack servers.

Designed specifically for PCIe 4.0 x16 connectivity, the NVIDIA A2 integrates NVIDIA's third-generation Tensor Cores, hardware-accelerated video decode engines supporting up to 35 concurrent HD streams, and support for NVIDIA MIG (Multi-Instance GPU) partitioning—enabling a single card to be logically divided into up to four isolated GPU instances. This makes the A2 particularly suited for multi-tenant cloud environments, virtualized workloads via NVIDIA Virtual GPU (vGPU) software, and inference-at-scale scenarios where multiple applications must share compute resources with guaranteed isolation and quality of service.

The Dell PowerEdge R650xs platform provides a verified thermal, electrical, and mechanical integration pathway for the NVIDIA A2, ensuring full compatibility with Dell's OpenManage systems management tooling and iDRAC lifecycle controller. The 60W TDP passive cooling design aligns with the PowerEdge R650xs airflow architecture, making this combination a purpose-built solution for enterprises deploying AI inference, virtual desktop infrastructure (VDI), and edge-adjacent inference nodes across UAE, GCC, EMEA, and APAC datacenter environments.

Ideal for

  • AI inference serving for natural language processing and computer vision models in enterprise datacenter racks with constrained power budgets
  • Multi-tenant GPU virtualization using NVIDIA vGPU software on Dell PowerEdge R650xs nodes within private and hybrid cloud environments
  • Real-time video analytics and intelligent video surveillance stream processing at scale across edge and core datacenter tiers
  • Virtual Desktop Infrastructure (VDI) acceleration for graphics-intensive remote workstation users across distributed enterprise sites
  • MIG-partitioned inference microservices enabling multiple isolated AI workloads to co-reside on a single GPU with dedicated resource allocation
  • Transcoding and media processing pipelines leveraging onboard NVDEC/NVENC engines for enterprise media and broadcast applications

Technical specifications

ManufacturerDell
Manufacturer Part Number900-2G172-0040-000
GPU ArchitectureNVIDIA Ampere
GPU ModelNVIDIA A2
Memory Capacity16 GB
Memory TypeGDDR6
Memory Bandwidth200 GB/s
Memory Interface Width128-bit
PCIe InterfacePCIe 4.0 x16
FP32 Performance31.2 TFLOPS
INT8 Tensor Performance250 TOPS
Tensor Core Generation3rd Generation
Form FactorLow-Profile, Single-Slot
Thermal Design Power (TDP)60W
CoolingPassive (airflow-cooled)
Multi-Instance GPU (MIG)Supported — up to 4 MIG instances
NVIDIA vGPU SupportSupported
Hardware Video DecodeSupported (NVDEC)
Hardware Video EncodeSupported (NVENC)
Compatible PlatformDell PowerEdge R650xs
Display OutputsNone (compute-only configuration)

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.

Technical Specifications

BrandDell
CategoryGPUs
SKU900-2G172-0040-000
Part Number900-2G172-0040-000
ConditionNew
Manufacturer Part Number900-2G172-0040-000
GPU ArchitectureNVIDIA Ampere
GPU ModelNVIDIA A2
Memory Capacity16 GB
Memory TypeGDDR6
Memory Bandwidth200 GB/s
Memory Interface Width128-bit
PCIe InterfacePCIe 4.0 x16
FP32 Performance31.2 TFLOPS
INT8 Tensor Performance250 TOPS
Tensor Core Generation3rd Generation
Form FactorLow-Profile, Single-Slot
Thermal Design Power (TDP)60W
CoolingPassive (airflow-cooled)
Multi-Instance GPU (MIG)Supported — up to 4 MIG instances
NVIDIA vGPU SupportSupported
Hardware Video DecodeSupported (NVDEC)
Hardware Video EncodeSupported (NVENC)
Compatible PlatformDell PowerEdge R650xs
Display OutputsNone (compute-only configuration)

Frequently Asked Questions about NVIDIA A2 16GB GDDR6 PCIe 4.0 – Dell PowerEdge R650xs

What server platforms accept the NVIDIA A2 16GB GDDR6 PCIe 4.0 – Dell PowerEdge R650xs?

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.