HPE NVIDIA A30 24GB PCIe GPU Accelerator
Brand: HPE | Category: GPUs
SKU: P40434-B21 | Part #: P40434-B21 | MPN: P40434-B21
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About the HPE NVIDIA A30 24GB PCIe GPU Accelerator
PCIe Gen4 x16 interface and 165 W thermal design power define the HPE NVIDIA A30 24GB PCIe GPU Accelerator's server chassis and power supply requirements, making it a precision-engineered solution for data centers requiring high-performance GPU acceleration within strict power budgets. The HPE P40434-B21 delivers enterprise-grade acceleration built on the NVIDIA Ampere architecture, combining 24 GB of HBM2 memory with 933 GB/s memory bandwidth to drive mixed-precision workloads across AI inference, scientific computing, and data analytics pipelines. This passive-cooled, dual-slot PCIe accelerator integrates seamlessly into HPE ProLiant and HPE Apollo server platforms, enabling IT infrastructure teams to scale GPU compute without extensive thermal or mechanical redesigns.
With 3584 CUDA cores and 3rd Generation NVIDIA Tensor Cores, the A30 delivers 10.3 TFLOPS of FP32 performance, 82 TOPS of TF32 Tensor performance with sparsity support, and 330 TOPS of INT8 performance—sufficient for both training and inference acceleration. ECC memory protection ensures data integrity in mission-critical deployments, while Multi-Instance GPU (MIG) support allows the card to operate as up to 4 independent logical GPU instances, maximizing resource utilization and workload isolation. The passive cooling design and PCIe form factor eliminate complex installation overhead, though system airflow design becomes critical for sustained thermal performance. For AI infrastructure teams, platform engineers, and data center architects evaluating GPU acceleration strategies, the HPE NVIDIA A30 strikes a balance between performance density and operational simplicity. Contact Omnixon Global to request a quotation for part number P40434-B21 and explore volume licensing options tailored to your enterprise deployment scale.
Key Specifications
- GPU Architecture: NVIDIA Ampere
- GPU Memory: 24 GB HBM2
- Memory Bandwidth: 933 GB/s
- PCIe Interface: PCIe Gen4 x16
- CUDA Cores: 3584
- FP32 Performance: 10.3 TFLOPS
- INT8 Tensor Performance: 330 TOPS
- Thermal Design Power: 165 W
- Form Factor: PCIe full-height, full-length dual-slot
- Multi-Instance GPU Support: Yes — up to 4 instances
Technical Specifications
| Brand | HPE |
| Category | GPUs |
| SKU | P40434-B21 |
| Part Number | P40434-B21 |
| Condition | New |
| Manufacturer Part Number | P40434-B21 |
| Product Name | HPE NVIDIA A30 24GB PCIe GPU Accelerator |
| GPU Architecture | NVIDIA Ampere |
| GPU Memory | 24 GB HBM2 |
| Memory Bandwidth | 933 GB/s |
| PCIe Interface | PCIe Gen4 x16 |
| Tensor Core Generation | 3rd Generation NVIDIA Tensor Cores |
| CUDA Cores | 3584 |
| FP32 Performance | 10.3 TFLOPS |
| TF32 Tensor Core Performance | 82 TOPS (sparsity: 82 TOPS) |
| INT8 Tensor Core Performance | 330 TOPS |
| FP64 Performance | 5.2 TFLOPS |
| Multi-Instance GPU (MIG) Support | Yes — up to 4 MIG instances |
| Thermal Design Power (TDP) | 165 W |
| Form Factor | PCIe full-height, full-length (FHFL) dual-slot |
| Cooling | Passive (requires system airflow) |
| NVLink Support | Not supported on PCIe variant |
| ECC Memory | Yes |
| Target Server Platforms | HPE ProLiant and HPE Apollo server platforms |
| Operating System Support | Linux (select distributions); Windows Server |
Frequently Asked Questions about HPE NVIDIA A30 24GB PCIe GPU Accelerator
What server platforms accept the HPE NVIDIA A30 24GB PCIe GPU Accelerator?
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.