Collection: Accelerator Cards

Accelerate Every Layer of Your AI Pipeline

The accelerator card is where raw compute potential meets real-world AI performance. Whether you're adding GPU capacity to an existing server, building a custom inference appliance, or equipping a workstation for model development, the card you choose determines the ceiling of what's possible — and the floor of what's frustrating. At DVUN, we stock accelerator cards across the full spectrum of AI use cases: from high-density training accelerators to power-efficient inference cards designed for edge and on-premise deployment.

What separates a good accelerator card purchase from a bad one isn't usually the chip — it's the compatibility, the thermal envelope, the driver support, and the supply chain reliability behind it. We've built our accelerator card collection around exactly these factors, so you spend less time troubleshooting and more time running workloads.

Why Engineers Choose DVUN Accelerator Cards

• Cross-Platform Driver Validation: Every card is verified against CUDA, ROCm, OpenCL, and major inference runtimes before it enters our catalog.
• Thermal Profile Transparency: We document real-world TDP and cooling requirements, not just rated TDP, so your chassis selection is accurate from day one.
• PCIe Gen4 & Gen5 Options: Full range of interface generations to match your existing server platform without bottlenecking bandwidth.
• Training & Inference SKUs: Separate product lines optimized for high-throughput training workloads versus low-latency, power-efficient inference serving.
• Verified In-Stock Availability: No phantom inventory. What's listed is what's ready to ship from verified stock.
• Compatibility Advisory Included: Not sure which card fits your server and software stack? Our hardware team will tell you before you order.

Imagine It In Your Environment

Scenario 1 — Expanding an Existing Training Cluster: Your current GPU servers are running at capacity and you need to add accelerator density without replacing entire nodes. You need cards that fit your existing PCIe topology, work with your current CUDA version, and don't require a chassis upgrade. DVUN's accelerator card lineup includes options validated for add-in configurations across major server platforms. Pair with our GPU Servers for full system builds or slot directly into your existing infrastructure.

Scenario 2 — Building a Low-Power Inference Appliance: You're deploying inference at the edge — in a facility, a vehicle, or a compact on-premise node — and you need a card that delivers strong tokens-per-second performance within a strict power budget. Our inference-optimized accelerator cards are selected for exactly this profile: high efficiency, low idle draw, and compatibility with popular inference serving frameworks. See our Edge AI Nodes for complete edge deployment solutions.

What to Expect from This Collection

• PCIe x16 full-height and low-profile form factors
• VRAM configurations from 16GB to 80GB+ per card
• Single-slot and dual-slot cooling designs
• Active and passive cooling variants for different chassis environments
• NVLink bridge support on select high-end training SKUs
• Power connectors: 8-pin, 16-pin (PCIe 5.0), and auxiliary configurations
• ECC memory support for mission-critical inference workloads
• Validated compatibility with Linux and Windows Server environments

The Right Card Changes Everything

An accelerator card is one of the highest-leverage hardware decisions in your AI stack. Get it right and your entire pipeline runs faster, cheaper, and more reliably. Get it wrong and you're debugging driver conflicts at 2am before a demo. DVUN exists to make sure you get it right. Request a quote for volume orders or reach out to our compatibility advisory team for a personalized recommendation.