Solutions for Inference Deployment
Inference at Scale Demands the Right Hardware
Training gets the headlines, but inference is where AI meets reality — and where hardware choices directly impact latency, throughput, and cost per query. DVUN sources and configures inference-optimized hardware stacks that let you serve models at production scale without overpaying for compute you don't need.
The Inference Infrastructure Problem
Inference workloads are fundamentally different from training. They demand low latency, high concurrency, and cost efficiency at scale — not raw FLOPS. Most hardware configurations optimized for training are overkill (and overpriced) for inference. Getting the balance right requires knowing the hardware, not just the model.
DVUN helps you build inference infrastructure that's right-sized from day one.
What DVUN Delivers for Inference Deployment
- Inference-Optimized GPU Servers — Configurations tuned for throughput and latency, not just peak FLOPS. NVIDIA L-series, AMD Instinct, and emerging inference accelerators.
- High-Speed Networking — Low-latency switching and NICs to minimize time-to-first-token and maximize request throughput.
- NVMe & Fast Storage — Model loading and KV-cache storage optimized for inference serving frameworks.
- Inference Rack Packs — Pre-validated, ready-to-deploy rack configurations for teams that need production infrastructure fast.
- Scalable Architecture — Start with a single node, scale to a full rack. DVUN designs for growth from the start.
Built for Production
- Latency-first design — Hardware selected and configured to minimize end-to-end inference latency.
- Cost per query optimization — Right-sized compute means lower cost per inference request at scale.
- Framework compatibility — Validated with vLLM, TensorRT-LLM, Triton, and other leading inference serving frameworks.
- Redundancy ready — Infrastructure designed for high availability in production environments.
Deploy Your Inference Stack
Tell us your model, your SLA requirements, and your expected query volume. We'll design the hardware stack that hits your targets at the right cost.
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