GPU-32xCPU-384GB-3xL4 by UpCloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | upcloud |
Name | GPU-32xCPU-384GB-3xL4 |
Description | GPU (32 vCPUs, 384 GiB RAM, 3x L4) |
Family | GPU |
Hw Virt | - |
Status | inactive |
Observed At | 2026-10-26T00:49:33.836257 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Sydney #1 (AU) / au-syd1 | 2.3841 USD/h | 2.3952 USD/h |
Frankfurt #1 (DE) / de-fra1 | 2.3841 USD/h | 2.3952 USD/h |
Copenhagen #1 (DK) / dk-cph1 | 2.3841 USD/h | 2.3952 USD/h |
Madrid #1 (ES) / es-mad1 | 2.3841 USD/h | 2.3952 USD/h |
Helsinki #1 (FI) / fi-hel1 | 2.3841 USD/h | 2.3952 USD/h |
Helsinki #2 (FI) / fi-hel2 | 2.3841 USD/h | 2.3952 USD/h |
Amsterdam #1 (NL) / nl-ams1 | 2.3841 USD/h | 2.3952 USD/h |
Stavanger #1 (NO) / no-svg1 | 2.3841 USD/h | 2.3952 USD/h |
Warsaw #1 (PL) / pl-waw1 | 2.3841 USD/h | 2.3952 USD/h |
Stockholm #1 (SE) / se-sto1 | 2.3841 USD/h | 2.3952 USD/h |
Singapore #1 (SG) / sg-sin1 | 2.3841 USD/h | 2.3952 USD/h |
London #1 (GB) / uk-lon1 | 2.3841 USD/h | 2.3952 USD/h |
Chicago #1 (US) / us-chi1 | 2.3841 USD/h | 2.3952 USD/h |
New York #1 (US) / us-nyc1 | 2.3841 USD/h | 2.3952 USD/h |
San Jose #1 (US) / us-sjo1 | 2.3841 USD/h | 2.3952 USD/h |
Processor
vCPUs | 32 |
Hypervisor | KVM |
CPU Allocation | Shared |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 384 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 | 49152 GB/month |
IPv4 | 1 |
Server Description
A high-density GPU instance featuring three NVIDIA L4 accelerators and substantial memory for parallel computing and machine learning workloads.
UpCloud GPU-32xCPU-384GB-3xL4 is a GPU-accelerated virtual server running on the KVM hypervisor with an x86_64 architecture. It features 32 shared vCPUs and 384.0 GB of system memory, yielding a resource density of 12.0 GB of RAM per core. The hardware configuration is highlighted by three NVIDIA L4 GPUs from the Ada Lovelace family, providing a combined 72 GB of VRAM. This instance does not include local storage, requiring external storage attachments, and comes with one complimentary public IPv4 address. Qualitatively, the shared CPU allocation offers a cost-effective entry point for GPU-heavy workloads, offsetting the lack of dedicated CPU cores. This server is designed for parallel processing tasks, including machine learning inference, data science pipelines, and video transcoding. It provides a balanced architecture for memory-intensive and GPU-accelerated operations.
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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