GPU-20xCPU-256GB-2xL4 by UpCloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | upcloud |
Name | GPU-20xCPU-256GB-2xL4 |
Description | GPU (20 vCPUs, 256 GiB RAM, 2x L4) |
Family | GPU |
Hw Virt | - |
Status | inactive |
Observed At | 2026-10-27T07:57:09.191015 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Sydney #1 (AU) / au-syd1 | 1.5775 USD/h | 1.5882 USD/h |
Frankfurt #1 (DE) / de-fra1 | 1.5775 USD/h | 1.5882 USD/h |
Copenhagen #1 (DK) / dk-cph1 | 1.5775 USD/h | 1.5882 USD/h |
Madrid #1 (ES) / es-mad1 | 1.5775 USD/h | 1.5882 USD/h |
Helsinki #1 (FI) / fi-hel1 | 1.5775 USD/h | 1.5882 USD/h |
Helsinki #2 (FI) / fi-hel2 | 1.5775 USD/h | 1.5882 USD/h |
Amsterdam #1 (NL) / nl-ams1 | 1.5775 USD/h | 1.5882 USD/h |
Stavanger #1 (NO) / no-svg1 | 1.5775 USD/h | 1.5882 USD/h |
Warsaw #1 (PL) / pl-waw1 | 1.5775 USD/h | 1.5882 USD/h |
Stockholm #1 (SE) / se-sto1 | 1.5775 USD/h | 1.5882 USD/h |
Singapore #1 (SG) / sg-sin1 | 1.5775 USD/h | 1.5882 USD/h |
London #1 (GB) / uk-lon1 | 1.5775 USD/h | 1.5882 USD/h |
Chicago #1 (US) / us-chi1 | 1.5775 USD/h | 1.5882 USD/h |
New York #1 (US) / us-nyc1 | 1.5775 USD/h | 1.5882 USD/h |
San Jose #1 (US) / us-sjo1 | 1.5775 USD/h | 1.5882 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 | 2 |
Accelerator Memory Min | 24 GiB |
Accelerator Memory Total | 48 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 | 36864 GB/month |
IPv4 | 1 |
Server Description
An accelerated cloud server featuring dual NVIDIA L4 GPUs and a substantial 256 GB memory footprint for parallel computing workloads.
UpCloud GPU-20xCPU-256GB-2xL4 is an x86_64 cloud server running on the KVM hypervisor, designed for GPU-accelerated workloads. It features 20 shared vCPUs and 256.0 GB of system memory, providing a high ratio of 12.8 GB of RAM per core. Acceleration is delivered via two NVIDIA L4 GPUs from the Ada Lovelace architecture, supplying a combined 48 GB of VRAM. This server does not include local storage, requiring network-attached storage solutions. While the shared CPU allocation represents a potential performance tradeoff for sustained CPU-bound tasks, the dual-GPU configuration and large memory capacity offer high resource density. This server is suited for machine learning inference, video transcoding, 3D rendering, and data science workloads that benefit from GPU acceleration and a large memory footprint.
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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