AMD Alveo V70 AI Inference Accelerator
Brand: AMD | Category: Accessories & Components
SKU: A-U700-P64G-PQ-G | Part #: A-U700-P64G-PQ-G | MPN: A-U700-P64G-PQ-G
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About the AMD Alveo V70 AI Inference Accelerator
The AMD Alveo V70 AI Inference Accelerator is a PCIe Gen 4 x16 expansion card that integrates directly into x86 server architectures to deliver specialized AI inference performance. Built on AMD XDNA AI Engine Architecture with 64 GB HBM2e memory, this full-height, three-quarter length (FHHL) accelerator is designed for enterprises deploying deep learning workloads at scale. With a passive cooling design requiring only standard system airflow and a thermal design power of 75 W, the V70 delivers efficient acceleration without introducing complex thermal management overhead.
The card supports TensorFlow, PyTorch, and ONNX frameworks through the AMD Vitis AI software stack, enabling rapid model deployment across diverse AI applications. Organizations can leverage multiple precision formats—INT8, INT16, FP16, BF16, and FP32—to optimize accuracy and throughput for specific inference tasks. Native support for Linux operating systems (Ubuntu, CentOS/RHEL) and virtualization capabilities via AMD ROCm and Vitis AI runtime ensures seamless integration into both bare-metal and containerized environments. For AI infrastructure teams evaluating inference acceleration options, part number A-U700-P64G-PQ-G offers a balance of performance density, power efficiency, and software flexibility.
Target Deployment Scenarios
- Real-time inference serving in recommendation engines and personalization platforms
- Batch deep learning inference for computer vision and NLP model serving
- Virtualized inference clusters supporting multiple concurrent workloads
- Edge-to-cloud inference pipelines requiring deterministic latency and throughput
- AI model optimization and quantization workflows for production deployment
Contact Omnixon Global to request a quotation for the AMD Alveo V70 (A-U700-P64G-PQ-G) and discuss integration requirements for your inference acceleration deployment.
Technical Specifications
| Brand | AMD |
| Category | Accessories & Components |
| SKU | A-U700-P64G-PQ-G |
| Part Number | A-U700-P64G-PQ-G |
| Condition | New |
| Manufacturer Part Number | A-U700-P64G-PQ-G |
| Product Name | AMD Alveo V70 AI Inference Accelerator |
| Architecture | AMD XDNA AI Engine Architecture |
| Memory Capacity | 64 GB HBM2e |
| Host Interface | PCIe Gen 4 x16 |
| Form Factor | Full-Height, Three-Quarter Length (FHHL) |
| Cooling | Passive (requires system airflow) |
| Power Consumption (TDP) | 75 W |
| Supported Frameworks | TensorFlow, PyTorch, ONNX (via AMD Vitis AI) |
| Software Stack | AMD Vitis AI |
| Supported Precisions | INT8, INT16, FP16, BF16, FP32 |
| Operating System Support | Linux (Ubuntu, CentOS/RHEL) |
| Target Workloads | AI Inference, Deep Learning Acceleration |
| Card Type | Accelerator (non-display) |
| Virtualization Support | Supported via AMD ROCm / Vitis AI runtime |
Frequently Asked Questions about AMD Alveo V70 AI Inference Accelerator
What is the lead time on the AMD Alveo V70 AI Inference Accelerator?
Lead time depends on stock position. Submit the RFQ form on this page with your quantity and target date — our pre-sales team responds with a vendor-confirmed quote.
What support applies?
Full manufacturer support — sourced exclusively through distribution so serial-number registration and support claims process cleanly under your company name. Extended support and on-site support contracts available at quote time.
How do I get a formal quote?
Use the RFQ form on this page with quantity and destination country. Our pre-sales team responds with a vendor-confirmed quote, availability, and any matching support or commissioning options.