GPU-128xCPU-640GB-8xRTXPRO6000 by UpCloud

GPU-128xCPU-640GB-8xRTXPRO6000 is a GPU (128 vCPUs, 640 GiB RAM, 8x RTXPRO6000) server offered by UpCloud with 128 vCPUs, 640 GiB of memory and 0 GB of storage. The pricing starts at 7.7757 USD per hour.
128 vCPU
640 GiB Memory
8 GPU
Spare SCore
-
(All-cores)
-
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
GPU-128xCPU-640GB-8xRTXPRO6000
Description
GPU (128 vCPUs, 640 GiB RAM, 8x RTXPRO6000)
Family
GPU
Hw Virt
-
Status
active
Observed At
2026-11-01T05:54:30.431929

Availability

REGION / IDSPOTONDEMAND
Helsinki #2 (FI) / fi-hel2
7.7757 USD/h 14.7464 USD/h

Processor

vCPUs
128
Hypervisor
KVM
CPU Allocation
Shared
CPU Architecture
x86_64

System Resources and Accelerators

MEMORY
Memory Amount
640 GiB
ACCELERATORS
Accelerator Count
8
Accelerator Memory Min
96 GiB
Accelerator Memory Total
768 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Blackwell
Accelerator Model
RTX PRO 6000
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      61440 GB/month
      IPv4
      1

      Server Description

      A high-density GPU instance featuring eight hardware accelerators and substantial system memory for parallelized computing and data science workloads.

      GPU AcceleratedMemory Optimized

      UpCloud GPU-128xCPU-640GB-8xRTXPRO6000 is a high-density GPU-accelerated server instance built on the x86_64 architecture and managed via the KVM hypervisor. The system features 128 shared vCPUs and 640.0 GB of system memory, yielding 5.0 GB of RAM per core. Its primary compute power is driven by eight integrated NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. This instance does not include local storage, requiring external storage attachments, and comes with one complimentary public IPv4 address. The combination of massive GPU acceleration and substantial memory capacity makes this server suitable for highly parallelized workloads, including deep learning, AI model training, and data science tasks, while the shared CPU allocation offers a resource-dense tradeoff for compute-heavy operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
      GPU-8xCPU-64GB-1xL4 864 GiB1
      GPU-8xCPU-64GB-1xL40S 864 GiB1
      GPU-12xCPU-128GB-1xL4 12128 GiB1
      GPU-12xCPU-128GB-1xL40S 12128 GiB1
      GPU-12xCPU-128GB-2xL40S 12128 GiB2
      GPU-16xCPU-80GB-1xRTXPRO6000 1680 GiB1
      GPU-16xCPU-192GB-1xL4 16192 GiB1

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      GPU-128xCPU-640GB-8xRTXPRO6000 FAQs