Bare metal GPU servers built for AI
Run private AI in production on dedicated NVIDIA L4 servers. Your models and your data on hardware no one else touches. Flat monthly pricing replaces hourly GPU rentals and per-token API bills.
- Single-tenant NVIDIA L4 GPUs, no shared hardware
- Up to 1TB of RAM and 40 cores at one flat price
- SOC 2 Type II certification across core facilities
What's slowing your
AI workload?
GPUs
For model serving, video, vision
Tier 1: AI Inference →
Memory, data, or CPUs
For RAG, AI data pipelines, analytics
Tier 2: High-Memory AI →
uptime SLA
to deploy
human support
November
GPU Server
Discount
GET 40% OFF
GPU servers for 12 months.
Ends November 20, 2026.
Match the infrastructure to your AI workload
Some AI workloads max out the GPUs. But others run into memory and CPU limits. Pick the configuration for your workload, and avoid paying for resources you don't need.
AI workloads that run on GPUs
For always-on inference, deploy dedicated L4 GPU servers. Replace hourly or per-token bills with flat monthly pricing.
AI product features
Run chatbots, copilots, summarization
Video and media
Transcode, caption, run video AI
Vision and document AI
Conduct image recognition, OCR
Leaving metered pricing
Shift to a flat monthly cost
AI workloads that need memory
For data loading and search workloads that run into bottlenecks. Choose from servers with up to 1TB of RAM and 12TB of NVMe storage, already installed and included in the price, plus an L4 GPU for acceleration.
RAG and AI search
Keep big vector indexes in memory
Data and analytics
Execute data prep and ETL alongside your models
Private AI
Safeguard sensitive data on single-tenant hardware
Rendering and simulation
Power CPU-heavy workloads, use GPU acceleration as needed
Don’t pay burst pricing for AI inference
AI inference runs around the clock. If you pay for cloud infrastructure by the hour or token, bills will get out of hand fast. Choose dedicated GPU servers with flat monthly pricing to avoid surprise bills while keeping control of your environment.
Flat monthly pricing
No shared GPUs
Private by design
From prototype to production, without cloud overhead
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Flat monthly pricing
No egress fees or per-token billing. Costs don't vary with usage.
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Deploy in minutes
No provisioning queue. Get in-stock, ready-to-go bare metal.
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Your stack, your rules
Full root access. Run the models and frameworks you choose.
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Built-in compliance
SOC 2 Type II certification across core facilities, with a PCI DSS facility attestation in Tampa.
High-performance GPU hosting with human support
Infrastructure
That Performs
A 2+ Tbps global network, 1,000+ peering connections, and a 99.99% uptime SLA.
A Partner,
Not a Vendor
A 2+ Tbps global network, 1,000+ peering connections, and a 99.99% uptime SLA.
Proven
Human-First Support
A 2+ Tbps global network, 1,000+ peering connections, and a 99.99% uptime SLA.
Questions AI teams ask us
Not sure which server fits? Talk to an engineer.
What AI workloads run well on NVIDIA L4 GPUs?
Inference, embeddings, computer vision, and video transcoding all run well on NVIDIA L4 GPUs. With 24GB of GPU memory, these GPUs can support many popular open models, including larger ones when quantized.
Is the NVIDIA L4 a good fit for training?
The NVIDIA L4 is built for inference and light fine-tuning. For large-scale training, the Hivelocity team can provide a quote for a custom build with larger GPUs.
Which configuration is right for me?
If you typically max out GPU, choose an Inference Compute configuration. If your data loading, search, or preprocessing runs into memory or CPU bottlenecks, choose High-Memory Compute.
How does dedicated pricing compare with cloud GPUs?
Cloud GPUs bill by the hour or token. With that cloud pricing model (which is designed for bursting workloads), teams can experience surprise bills. For workloads running around the clock, a flat monthly price simplifies forecasting and often reduces costs.
What is private AI, and can I run it on these servers?
Private AI means running models on infrastructure you control. None of your prompts, data, or model weights are shared with any outside AI provider. Hivelocity offers only single-tenant GPU servers with full root access, so you can run open models privately.
Can I run my own AI stack, like Ollama?
Yes, you can run your own AI stack with dedicated GPU servers from Hivelocity. You have full root access to install the models and frameworks you choose. See our Ollama Hosting page for a one-click option.
Why does included memory matter right now?
Server memory and storage are in short supply, and prices have risen sharply. Our servers come fully configured—RAM and storage are already installed and included in the monthly price.