WORK IN PROGRESS | Services are in active development and are subject to change. |
Contents
Overview
Charity Engine provides compute resources in the form of standard instance-types. Â Specs for these are outlined below.
Related resources:
- PricingÂ
- Technical documentation (*includes details on the API, CLI, GnuParallel)
- Our simple WebUI (*just try itâ¦)
CPU Instance Types
During the beta test of the marketplace, two instance types are available, per the table below. (Other resource-types are available via custom arrangements; contact us for details.)
General Purpose Computing - Linux | vCPU | RAM | Benchmark |
|---|
C.2x2 | 2 | 2 | >500 |
C.2x4 | 2 | 4 | >1000 |
C.4x4 (*coming soon) | 4 | 4 | >2000 |
Definitions
- vCPU - Â A full physical core. Â Due to the heterogeneous nature of our network, specific brand and model are not specified, but provisioned CPUs will meet or exceed the benchmark specified for the Instance Type. (*See bullet below for further details on Benchmarks; and see "Special Features" below for functions to target specific hardware)
- RAM - Â The amount of RAM (GiB) allocated to each instance
- Benchmark - Average Geekbench (v5) results (higher=better). Note: Benchmark results are for multi-threaded applications ("Multi-Core Score")
- Other Instance Details
- Data Transfer - See "4. Data Transfer", below.Â
GPU Instance Types
GPU Computing -
Nvidia - Linux | GPU Model | GPU Count | vCPU | RAM | Single-GPU Benchmark |
|---|
Coming soon |
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| Â |
Definitions
- GPU Model - The specific GPU hardware provided with the instance
- GPU Count - The number of cards of the specified type
- CPU - Due to the heterogeneous nature of our network, specific brand and model are not specified, but provisioned CPUs will meet or exceed capacity equal to a process with Geekbench score of 500 - or roughly one vCPU on an AWS c5.large instance. (*See "Special Features" below for functions to target specific hardware.)
- RAM - The amount of RAM (GiB) allocated to each instance
- Benchmark - Average Geekbench (v5) results (higher=better). For Nvidia: "CUDA Score"; for AMD: "OpenCL Scoreâ
- Other Instance Details:
- Data Transfer - See "4. Data Transfer", below.Â
Data Transfer
Each instance-hour includes a fixed allotment (MiB) of data-transfer (including import of the application container). Â Additional transfer is billed per MiB. See the [Pricing page] for details.
Special Feature Flags
Workloads may require specific hardware and software features beyond those in the basic instance specification above. Â This can be requested by use of flags in the instance request interface. Â Note: use of such flags may {1} reduce available inventory, and {2} be subject to additional charges.
Supported flags are:
- AVX - CPU with AVX support
- Driver:nnn.nn - GPU driver version, e.g. 440.33.01
- Tensorflow - CPU meeting common Tensorflow specs [*in development; contact us if needed.]
Flags are case insensitive.
Custom Arrangements
Custom arrangements may be possible; contact us if currently available instance types or feature-sets are not suitable for your workloads.