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Prime Intellect Docs

API Reference

Platform

Support

Get Gpu Availability

Currency

Any additional information or notes regarding this specification.

Additionalinfo

Defaultcount

Indicates if the default count is included in the base price.

Defaultincludedinprice

Maximum allowable count for this specification.

Maxcount

Mincount

Priceperunit

Increment step for adjusting the count (e.g., increments by 1 or 10).

Step

CustomSpecValue

EnvironmentTypeEnum

Details

Param

ErrorDetail

GPUSocket

GPUType

Cloudid

Country where the data center is located.

Country

Location of the data center housing the GPU.

Datacenter

Total number of GPUs available in this configuration.

Gpucount

Amount of memory available per GPU in GB.

Gpumemory

Images

Interconnect speed between GPUs or nodes in Gbps.

Interconnect

Type of interconnect technology (e.g. Infiniband).

Interconnecttype

Internetspeed

Indicates if the GPU can be provisioned on a spot pricing model.

Isspot

If set, you will be pre-charged for the total number of hours specified in this field at the time of ordering, regardless of actual usage. After the prepaid time expires, the standard hourly rate will apply.

Prepaidtime

Estimated time in minutes required for GPU provisioning.

Provisioningtime

GPU is either from community cloud or secure cloud

Current stock availability status of GPUs.

Stockstatus

GpuAvailability

Price for community cloud instances, specified for community_cloud security type.

Communityprice

The currency in which the prices are denominated (e.g., USD, EUR).

Indicates whether the price is variable and subject to change based on market conditions.

Isvariable

Price for on-demand usage, specified for secure_cloud security type.

Ondemand

Prices

ProviderTypeEnum

Regions

SecurityType

HTTPBearer

AvailabilityResponse

ErrorResponse

Introduction

The most cost effective GPUs deployed in less than 1min

Quickstart - Deploy a Pod

Run Jupyter Notebooks

Deploy your private API instance of Llama3.1 via the VLLM inference library.

Deploy Llama via VLLM

Deploy Custom Docker Image

Deploy a multi-node cluster on the Prime Intellect Platform.

Deploy Multi-Node Cluster

How to use Torch FSDP to train models distributed across multiple nodes.

Run Torch FSDP

Run Megatron-Deepspeed to train models distributed across multiple nodes.

Run Megatron-Deepspeed

Run Huggingface Accelerate to train models distributed across multiple nodes.

Run Hugging Face Accelerate

Run Llama 405B inference in BF16 across multiple nodes.

Llama 405B Inference in BF16

Distill Llama 405B into smaller models via our Multi-node offering.

Run DistillKit

Deploy compute on Prime Intellect and contribute to the decentralized training of INTELLECT-1.

API Documentation

Availability

Pods

Get Gpu Availability

Authorizations

Query Parameters

Response