Dedicated NVIDIA GPU servers with L40 capacity

What the NVIDIA L40 is good for

The NVIDIA L40 is a data-center GPU built on the Ada Lovelace architecture with 48 GB of GDDR6 memory. That combination — modern Ada cores plus generous VRAM on a single card — makes it a strong fit for practical AI workloads that stall on smaller consumer GPUs:

• High-resolution and batched image generation (Stable Diffusion, SDXL, Flux, ComfyUI pipelines).
• Private LLM inference for open-weight models that fit within a single 48 GB device or run quantized.
• Fine-tuning and LoRA workflows where iteration speed and VRAM headroom matter more than peak FLOPs.
• Long-running internal tools and agents that need a stable, dedicated environment.

Why rent dedicated NVIDIA L40 capacity instead of a public marketplace slot

• Dedicated capacity. GPU capacity reserved for you for the term — no shared pool, no preemption.
• Direct onboarding. A real operator helps get drivers, CUDA, and your stack running instead of a ticket queue.
• Predictable pricing. Fixed weekly/monthly rate for the term rather than usage-based spot pricing.
• Persistent environment. Models, checkpoints, and workflows remain available throughout the active rental term, so you don't rebuild every session.

Single- or multi-GPU configurations

Single- or multi-GPU configurations are available subject to availability. One L40 with 48 GB of VRAM is enough for a large share of production image-gen and inference work. When a workload actually benefits from more than one GPU — independent parallel jobs, replicated inference workers, or frameworks with explicit tensor/pipeline parallelism — we can scope a multi-GPU configuration privately, subject to availability. Multiple GPUs are not automatically one combined memory pool; software has to be written for multi-GPU use. If you're unsure which side of that line your workload falls on, that's exactly what we scope during qualification.

Start with a 72-hour evaluation

We configure a paid evaluation around your workload before a longer rental. Evaluation pricing depends on the requested configuration and workload and is provided privately. If you continue with a weekly or monthly rental, the full evaluation fee is credited toward your first rental invoice.

How allocation works

Instead of publishing internal capacity, we confirm the exact configuration privately after a short intake. Tell us what you're running, including the models, workflow, storage needs, and expected usage, and when you need to start; we come back with a recommended setup, term, and price — or say honestly if we're not the right fit.

Prefer to read more first? See Dedicated ComfyUI GPU server for image-gen specifics, or the guide on choosing dedicated L40 capacity.