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GPU servers · AI inference

GPU L40S dedicated server

One L40S for inference and media.

GPU
1 × L40S · 48 GBNVIDIA
Processor
AMD EPYC 9355P32 cores · 64 threads
Memory
256 GBDDR5-6000 ECC
Storage
2 × 3.84 TBNVMe Gen5
Network
25 GbpsUnmetered traffic
  • No setup fee
  • Unmetered traffic
  • Cancel anytime
GPU L40S server hardware
GPU L40S · AMD EPYC 9355P
GPU L40S server hardware

$979/mo

Same-day delivery

Excluding taxes · no setup fee · cancel anytime

Compare all 10 servers
  • Unmetered 25 Gbps
  • DDoS protection
  • IPMI + KVM console
  • 24/7 engineers

Overview

Where GPU L40S fits.

GPU L40S pairs one NVIDIA L40S with 48 GB of GPU memory with a 32-core AMD EPYC 9355P, 256 GB of DDR5-6000 ECC, two 3.84 TB NVMe Gen5 drives and a 25 Gbps port with unmetered traffic. Its sweet spot is serving small and mid-size models, image generation, rendering and video transcoding at a flat $979/mo. It is assembled to order and usually delivered the same day.

Ideal for

  • Inference for small and mid-size LLMs
  • Image and video generation
  • Video transcoding
  • 3D rendering

NVIDIA L40S, 48 GB

An Ada Lovelace GPU with 48 GB of GDDR6, fourth-generation Tensor Cores with FP8 support and RT cores for rendering.

Hardware video engines

NVENC and NVDEC engines with AV1 support move transcoding onto the GPU, and the 25 Gbps port delivers the output with no egress fees.

32-core EPYC 9355P host

64 threads and 256 GB of DDR5-6000 handle tokenization, preprocessing and API serving next to the GPU.

Specifications

Everything in the box.

Need a different spec? Custom build

Hardware

GPU L40S hardware specifications
ProcessorAMD EPYC 9355PZen 5 · 3.55 / 4.4 GHz
Cores / threads32 cores / 64 threads
GPU1 × NVIDIA L40S 48 GBNVIDIA data-center GPU, drivers installable from the OS
Memory256 GB DDR5-6000 ECC
Storage2 × 3.84 TB NVMe Gen5
Network port25 GbpsUnmetered traffic, inbound and outbound

Service

GPU L40S service details
IP addresses1 IPv4 + /64 IPv6Additional IPv4 on request
DDoS protectionAlways on, included
Out-of-band accessIPMI and HTML5 KVM console
Operating systemsUbuntu, Debian, AlmaLinux, Rocky Linux, Windows Server, Proxmox VEOr any custom ISO through the KVM console
DeliverySame-day deliveryAssembled to order, usually delivered the same day
Billing$979 per monthNo setup fee, no contract, excluding taxes

Included with GPU L40S

  • Unmetered traffic on the 25 Gbps port
  • Always-on DDoS protection
  • IPMI and HTML5 KVM console
  • 1 IPv4 address and a /64 IPv6 block
  • Free private VLANs between your servers
  • 24/7 support by engineers
  • No setup fee, no contract
Deploy GPU L40S

Availability

Deploy GPU L40S in 4 locations.

Estimate latency from your city

Assembled to order in the available cities and usually delivered the same day. Pick a city to start your order there.

Compare

How it stacks up.

Compare all 10 servers
GPU L40S compared with similar FlexDedi servers
Pro seriesPro 32 GPU servers · this serverGPU L40S GPU serversGPU RTX PRO
Price $749/mo $979/mo $2,199/mo
Processor AMD EPYC 9355P AMD EPYC 9355P AMD EPYC 9455P
Cores / threads 32 / 64 32 / 64 48 / 96
GPU None 1 × L40S · 48 GB 2 × RTX PRO 6000 · 96 GB
Memory 384 GB DDR5-6000 ECC 256 GB DDR5-6000 ECC 576 GB DDR5-6000 ECC
Storage 2 × 3.84 TB NVMe Gen5 2 × 3.84 TB NVMe Gen5 2 × 7.68 TB NVMe Gen5
Port 25 Gbps unmetered 25 Gbps unmetered 25 Gbps unmetered
Delivery In minutes Same day Same day
Locations 8 4 3
Action View Pro 32 Deploy View GPU RTX PRO

FAQ

GPU L40S, answered.

What size of model fits on one L40S?

As an estimate, model weights need about 2 GB per billion parameters at FP16 or BF16 and about 1 GB at FP8. Keeping roughly 8 GB for the KV cache, 48 GB fits models of about 20B parameters at FP16 or about 40B at FP8, and 4-bit quantization fits larger ones. For 70B-class models at FP8 or higher precision, choose GPU RTX PRO.

Can I fine-tune models on GPU L40S?

Yes, within its 48 GB of GPU memory. Parameter-efficient methods such as LoRA and QLoRA make fine-tuning models in the 7B to 13B range practical on a single L40S, depending on sequence length and batch size. Full fine-tuning of larger models needs more GPU memory, such as the 192 GB of GPU RTX PRO.

Are the NVIDIA driver and CUDA installed for me?

You choose the operating system and install the NVIDIA driver and CUDA version your stack needs, from NVIDIA's repositories or your distribution's packages; servers are unmanaged, so you keep full control of versions. Ubuntu 24.04 LTS is a common choice for CUDA workloads. For containers, add the NVIDIA Container Toolkit so Docker or Kubernetes can use the GPU.

Where is GPU L40S available and how fast is delivery?

GPU L40S is available in Ashburn, Dallas, Amsterdam and Frankfurt for $979/mo. It is assembled to order and usually delivered the same day, with no setup fees and no long-term contract.

Still have a question?Tickets for customers, written quotes for projects.How to reach us

Deploy GPU L40S for $979/mo.

Usually delivered the same day, with unmetered traffic, DDoS protection and IPMI included.

  • No setup fees
  • Unmetered traffic
  • Cancel anytime