GPU-20xCPU-256GB-3xL4 by UpCloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | upcloud |
Name | GPU-20xCPU-256GB-3xL4 |
Description | GPU (20 vCPUs, 256 GiB RAM, 3x L4) |
Family | GPU |
Hw Virt | - |
Status | inactive |
Observed At | 2026-10-27T01:09:14.417317 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Sydney #1 (AU) / au-syd1 | 2.1369 USD/h | 2.1476 USD/h |
Frankfurt #1 (DE) / de-fra1 | 2.1369 USD/h | 2.1476 USD/h |
Copenhagen #1 (DK) / dk-cph1 | 2.1369 USD/h | 2.1476 USD/h |
Madrid #1 (ES) / es-mad1 | 2.1369 USD/h | 2.1476 USD/h |
Helsinki #1 (FI) / fi-hel1 | 2.1369 USD/h | 2.1476 USD/h |
Helsinki #2 (FI) / fi-hel2 | 2.1369 USD/h | 2.1476 USD/h |
Amsterdam #1 (NL) / nl-ams1 | 2.1369 USD/h | 2.1476 USD/h |
Stavanger #1 (NO) / no-svg1 | 2.1369 USD/h | 2.1476 USD/h |
Warsaw #1 (PL) / pl-waw1 | 2.1369 USD/h | 2.1476 USD/h |
Stockholm #1 (SE) / se-sto1 | 2.1369 USD/h | 2.1476 USD/h |
Singapore #1 (SG) / sg-sin1 | 2.1369 USD/h | 2.1476 USD/h |
London #1 (GB) / uk-lon1 | 2.1369 USD/h | 2.1476 USD/h |
Chicago #1 (US) / us-chi1 | 2.1369 USD/h | 2.1476 USD/h |
New York #1 (US) / us-nyc1 | 2.1369 USD/h | 2.1476 USD/h |
San Jose #1 (US) / us-sjo1 | 2.1369 USD/h | 2.1476 USD/h |
Processor
vCPUs | 20 |
Hypervisor | KVM |
CPU Allocation | Shared |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 256 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 3 |
Accelerator Memory Min | 24 GiB |
Accelerator Memory Total | 72 GiB |
Accelerator Type | GPU |
Accelerator Manufacturer | NVIDIA |
Accelerator Family | Ada Lovelace |
Accelerator Model | L4 |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 45056 GB/month |
IPv4 | 1 |
Server Description
A GPU-accelerated server featuring three NVIDIA L4 GPUs, 256 GB of RAM, and 20 shared vCPUs for parallel computing workloads.
UpCloud GPU-20xCPU-256GB-3xL4 is a GPU-accelerated server instance utilizing the KVM hypervisor and x86_64 CPU architecture. It is configured with 20 shared vCPUs and 256.0 GB of system memory, providing 12.8 GB of RAM per core. The primary hardware feature is the inclusion of three NVIDIA L4 GPUs from the Ada Lovelace family, delivering a total of 72 GB of VRAM. This server does not include local storage, requiring external storage attachments, and comes with one complimentary public IPv4 address. Given the shared CPU allocation and high GPU density, this instance is qualitatively cost-efficient for parallel processing workloads that prioritize GPU compute over dedicated CPU cores. It is suited for machine learning inference, data science tasks, and GPU-accelerated workloads.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| GPU-8xCPU-64GB-1xL40S | 8 | 64 GiB | 1 |
| GPU-12xCPU-128GB-1xL40S | 12 | 128 GiB | 1 |
| GPU-12xCPU-128GB-2xL40S | 12 | 128 GiB | 2 |
| GPU-16xCPU-80GB-1xRTXPRO6000 | 16 | 80 GiB | 1 |
| GPU-16xCPU-192GB-1xL40S | 16 | 192 GiB | 1 |
| GPU-16xCPU-192GB-2xL40S | 16 | 192 GiB | 2 |
| GPU-16xCPU-192GB-3xL40S | 16 | 192 GiB | 3 |
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