Brand: AMD | Category: Accessories & Components
SKU: AMD-A-V80-P64G-PQ-G | Part #: A-V80-P64G-PQ-G | MPN: A-V80-P64G-PQ-G
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The AMD Alveo V80 Compute Accelerator Card is a PCIe 4.0 x16 form factor accelerator engineered for high-performance compute workloads requiring substantial floating-point throughput and memory capacity. This new, sealed unit (part number A-V80-P64G-PQ-G) delivers up to 52 TFLOPS of FP32 compute performance paired with 64 GB of HBM2e memory, enabling organisations to process complex algorithms and large datasets with minimal latency. The card's passive heatsink design eliminates cooling complexity in dense deployments, while its 1.92 TB/s memory bandwidth ensures sustained performance during memory-intensive operations. Maximum power consumption is rated at 275W, and the accelerator operates reliably across 0–50°C environmental conditions, making it suitable for both climate-controlled datacentres and edge deployment scenarios.
An AI infrastructure team or machine learning operations group would typically evaluate the Alveo V80 for production inference clusters, real-time video processing pipelines, and machine learning model acceleration. The card supports industry-standard frameworks including ROCm, OpenCL, and HIP, enabling software engineers to integrate the accelerator into existing compute stacks without lengthy porting cycles. Organisations seeking to offload computationally dense workloads from general-purpose CPUs will find the 64 GB memory footprint particularly valuable for batch processing and multi-model deployment scenarios. AMD's architecture ensures broad compatibility within heterogeneous cloud and on-premises environments where standardised acceleration is a strategic requirement.
Omnixon Global supplies the AMD Alveo V80 (A-V80-P64G-PQ-G) through authorised distribution channels, with full manufacturer warranty coverage and worldwide shipping from our Dubai hub. Whether you are architecting a new inference platform, scaling existing GPU-accelerated workloads, or evaluating alternative compute acceleration technologies, our technical procurement team is equipped to support your evaluation and deployment. Contact Omnixon Global today to request a formal quotation and explore licensing, volume terms, and integration support for this AMD compute accelerator.
| Brand | AMD |
| Category | Accessories & Components |
| SKU | AMD-A-V80-P64G-PQ-G |
| Part Number | A-V80-P64G-PQ-G |
| Condition | New |
| Capacity | 64GB |
| Interface | PCIe Gen5 |
| Sourcing | Authorised distribution channel |
| Warranty | Full manufacturer warranty |
| Shipping | Worldwide — Dubai hub |
| Manufacturer Part Number | A-V80-P64G-PQ-G |
| Product Series | Alveo V80 |
| Form Factor | PCIe Compute Accelerator Card |
| Compute Performance | Up to 52 TFLOPS FP32 |
| Memory Capacity | 64 GB HBM2e |
| Interface | PCIe 4.0 x16 |
| Memory Bandwidth | 1.92 TB/s |
| Cooling | Passive heatsink |
| Operating Temperature | 0–50°C |
| Power Consumption | 275W maximum |
| Deployment Use Case | AI inference, video processing, machine learning |
| Supported Frameworks | ROCm, OpenCL, HIP |
Lead time depends on stock position. Submit the RFQ form on this page with your quantity and target delivery date — our pre-sales team responds within 24 business hours with realistic vendor-confirmed lead time and channel pricing.
Yes. Omnixon Global is Dubai-headquartered with same-day delivery in Dubai for in-stock SKUs and courier-cleared delivery to UAE, Saudi Arabia, Qatar, Kuwait, Oman, Bahrain, plus broader EMEA + APAC. All customs paperwork is handled by us.
Full manufacturer warranty — sourced exclusively through authorised distribution so serial-number registration and warranty claims process cleanly under your company name. Extended warranty and on-site support contracts available at quote time.
Use the RFQ form on this page with quantity, destination country, and target lead time. Our pre-sales team responds with channel pricing, vendor-confirmed availability, and any matching support / commissioning options within 24 business hours.