TAMPA, Fla., Sept. 29, 2026 (GLOBE NEWSWIRE) — Hivelocity today announced GPU acceleration is available across several of its Tier 3 bare metal bundles, giving customers a dedicated place to run small language models and local AI tools in production.

The addition is aimed at a shift Hivelocity sees across its customer base. Teams that started on shared, token-metered AI services are moving to smaller, tuned models they run themselves. Small language models in the 3B to 13B range now handle a large share of production work, including summarization, classification, extraction, retrieval-augmented search, agent and chat back ends at a fraction of the compute a frontier model requires. A single GPU is often enough to serve one in production.

Running those models on dedicated infrastructure changes the economics and the control model. The server is single-tenant, so customers get consistent inference latency without competing for GPU time. Prompts, embeddings, fine-tuning data, and model weights stay on hardware the customer controls end to end, which matters for teams working under data residency, HIPAA, or contractual restrictions on where inference happens. Costs are a fixed monthly line item rather than a per-token bill that scales with usage.

The acceleration comes from NVIDIA L4 Tensor Core GPUs, a single-slot, 72-watt card with 24 GB of GPU memory. That memory footprint fits most quantized small language models comfortably, and the low power draw lets Hivelocity offer GPU compute in more configurations and more locations than higher-wattage cards allow.

“Our customers aren’t all trying to train the next hyperscale model,” said Ned Pope, Chief Product Officer at Hivelocity. “They’re putting small, focused models into production and they want them on hardware they control, with a cost they can predict. That’s what this gives them.”

Initial quantities across locations are limited and allocated on a first come, first served basis.

About Hivelocity

Founded in 2002, Hivelocity operates bare-metal infrastructure across globally distributed data centers, serving mid-market and enterprise customers in gaming, healthcare, SaaS, fintech, and high-performance computing. The company provides 24/7/365 in-house support with a 15-minute average ticket response time, backed by an SLA-guaranteed 99.99% network uptime.


Media Contact
Maya Zivkovic
mzivkovic@hivelocity.net

Media gallery

About The Author
Hivelocity