Gputype data model

View field support, webhooks, and list parameters for each integration on the Supported Integrations page.

Data Model
FieldTypeRequiredDescription
idstringNoUnique identifier for the GPU or instance type (vendor SKU)
created_atstring (date-time)No(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
updated_atstring (date-time)No(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
namestringNoDisplay name of the type
gpu_modelenumNoNormalized GPU model Values: NVIDIA_GB300, NVIDIA_B300, NVIDIA_GB200, NVIDIA_B200, NVIDIA_GH200, NVIDIA_H200, NVIDIA_H100_SXM, NVIDIA_H100_PCIE, NVIDIA_H100_NVL, NVIDIA_A100_SXM_80GB, NVIDIA_A100_PCIE_80GB, NVIDIA_A100_40GB, NVIDIA_L40S, NVIDIA_L40, NVIDIA_L4, NVIDIA_A40, NVIDIA_A10, NVIDIA_RTX_PRO_6000, NVIDIA_RTX_6000_ADA, NVIDIA_RTX_A6000, NVIDIA_RTX_A5000, NVIDIA_RTX_A4000, NVIDIA_RTX_5090, NVIDIA_RTX_4090, NVIDIA_RTX_3090, NVIDIA_V100, NVIDIA_T4, AMD_MI355X, AMD_MI325X, AMD_MI300X, AMD_MI250, OTHER
gpu_manufacturerenumNoGPU manufacturer Values: NVIDIA, AMD, INTEL, OTHER
skustringNoThe vendor's own SKU or type name
gpu_countnumberNoGPUs included in one unit of this type
gpu_memory_mbnumberNoMemory per GPU in MiB
cpu_countnumberNovCPUs included in one unit of this type
memory_mbnumberNoSystem memory in MiB
disk_mbnumberNoLocal disk in MiB
architectureenumNoCPU architecture Values: X86_64, ARM64, OTHER
pricesComputePrice[]NoList prices by market and region
prices[].marketenumNoPricing market Values: ON_DEMAND, SPOT, RESERVED, COMMUNITY, OTHER
prices[].region_idstringNoRegion the price applies to, when it varies by region
prices[].price_amountnumberNoList price
prices[].price_unitenumNoUnit that price_amount is quoted in Values: PER_GPU_HOUR, PER_INSTANCE_HOUR, OTHER
prices[].currencystringNoCurrency of price_amount (ISO 4217)
availabilityComputeAvailability[]NoAvailability by region
availability[].region_idstringNoThe region this availability applies to
availability[].levelenumNoNormalized stock level Values: NONE, LOW, MEDIUM, HIGH, OTHER
availability[].quantitynumberNoNumber of units available, when the vendor reports a count

TypeScript

TypeScript
export type ComputeGputype = {
	id?: string; // Unique identifier for the GPU or instance type (vendor SKU)
	created_at?: string-time; // (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
	updated_at?: string-time; // (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
	name?: string; // Display name of the type
	gpu_model?: 'NVIDIA_GB300' | 'NVIDIA_B300' | 'NVIDIA_GB200' | 'NVIDIA_B200' | 'NVIDIA_GH200' | 'NVIDIA_H200' | 'NVIDIA_H100_SXM' | 'NVIDIA_H100_PCIE' | 'NVIDIA_H100_NVL' | 'NVIDIA_A100_SXM_80GB' | 'NVIDIA_A100_PCIE_80GB' | 'NVIDIA_A100_40GB' | 'NVIDIA_L40S' | 'NVIDIA_L40' | 'NVIDIA_L4' | 'NVIDIA_A40' | 'NVIDIA_A10' | 'NVIDIA_RTX_PRO_6000' | 'NVIDIA_RTX_6000_ADA' | 'NVIDIA_RTX_A6000' | 'NVIDIA_RTX_A5000' | 'NVIDIA_RTX_A4000' | 'NVIDIA_RTX_5090' | 'NVIDIA_RTX_4090' | 'NVIDIA_RTX_3090' | 'NVIDIA_V100' | 'NVIDIA_T4' | 'AMD_MI355X' | 'AMD_MI325X' | 'AMD_MI300X' | 'AMD_MI250' | 'OTHER'; // Normalized GPU model
	gpu_manufacturer?: 'NVIDIA' | 'AMD' | 'INTEL' | 'OTHER'; // GPU manufacturer
	sku?: string; // The vendor's own SKU or type name
	gpu_count?: number; // GPUs included in one unit of this type
	gpu_memory_mb?: number; // Memory per GPU in MiB
	cpu_count?: number; // vCPUs included in one unit of this type
	memory_mb?: number; // System memory in MiB
	disk_mb?: number; // Local disk in MiB
	architecture?: 'X86_64' | 'ARM64' | 'OTHER'; // CPU architecture
	prices?: []; // List prices by market and region
	availability?: []; // Availability by region
	raw?: any; // Raw data from integration
}

Zod

Zod
import { z } from 'zod';

export const ZodComputeGputype = z.object({
	id: z.string().optional().describe("Unique identifier for the GPU or instance type (vendor SKU)"),
	created_at: z.string-time().optional().describe("(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"),
	updated_at: z.string-time().optional().describe("(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"),
	name: z.string().optional().describe("Display name of the type"),
	gpu_model: z.enum("NVIDIA_GB300", "NVIDIA_B300", "NVIDIA_GB200", "NVIDIA_B200", "NVIDIA_GH200", "NVIDIA_H200", "NVIDIA_H100_SXM", "NVIDIA_H100_PCIE", "NVIDIA_H100_NVL", "NVIDIA_A100_SXM_80GB", "NVIDIA_A100_PCIE_80GB", "NVIDIA_A100_40GB", "NVIDIA_L40S", "NVIDIA_L40", "NVIDIA_L4", "NVIDIA_A40", "NVIDIA_A10", "NVIDIA_RTX_PRO_6000", "NVIDIA_RTX_6000_ADA", "NVIDIA_RTX_A6000", "NVIDIA_RTX_A5000", "NVIDIA_RTX_A4000", "NVIDIA_RTX_5090", "NVIDIA_RTX_4090", "NVIDIA_RTX_3090", "NVIDIA_V100", "NVIDIA_T4", "AMD_MI355X", "AMD_MI325X", "AMD_MI300X", "AMD_MI250", "OTHER").optional().describe("Normalized GPU model"),
	gpu_manufacturer: z.enum("NVIDIA", "AMD", "INTEL", "OTHER").optional().describe("GPU manufacturer"),
	sku: z.string().optional().describe("The vendor's own SKU or type name"),
	gpu_count: z.number().optional().describe("GPUs included in one unit of this type"),
	gpu_memory_mb: z.number().optional().describe("Memory per GPU in MiB"),
	cpu_count: z.number().optional().describe("vCPUs included in one unit of this type"),
	memory_mb: z.number().optional().describe("System memory in MiB"),
	disk_mb: z.number().optional().describe("Local disk in MiB"),
	architecture: z.enum("X86_64", "ARM64", "OTHER").optional().describe("CPU architecture"),
	prices: z.array().optional().describe("List prices by market and region"),
	availability: z.array().optional().describe("Availability by region"),

});

Python

Python
import dataclasses

@dataclasses.dataclass
class ComputeGputypeGpu_model(str, Enum):
	NVIDIA_GB300 = 'NVIDIA_GB300'
	NVIDIA_B300 = 'NVIDIA_B300'
	NVIDIA_GB200 = 'NVIDIA_GB200'
	NVIDIA_B200 = 'NVIDIA_B200'
	NVIDIA_GH200 = 'NVIDIA_GH200'
	NVIDIA_H200 = 'NVIDIA_H200'
	NVIDIA_H100_SXM = 'NVIDIA_H100_SXM'
	NVIDIA_H100_PCIE = 'NVIDIA_H100_PCIE'
	NVIDIA_H100_NVL = 'NVIDIA_H100_NVL'
	NVIDIA_A100_SXM_80GB = 'NVIDIA_A100_SXM_80GB'
	NVIDIA_A100_PCIE_80GB = 'NVIDIA_A100_PCIE_80GB'
	NVIDIA_A100_40GB = 'NVIDIA_A100_40GB'
	NVIDIA_L40S = 'NVIDIA_L40S'
	NVIDIA_L40 = 'NVIDIA_L40'
	NVIDIA_L4 = 'NVIDIA_L4'
	NVIDIA_A40 = 'NVIDIA_A40'
	NVIDIA_A10 = 'NVIDIA_A10'
	NVIDIA_RTX_PRO_6000 = 'NVIDIA_RTX_PRO_6000'
	NVIDIA_RTX_6000_ADA = 'NVIDIA_RTX_6000_ADA'
	NVIDIA_RTX_A6000 = 'NVIDIA_RTX_A6000'
	NVIDIA_RTX_A5000 = 'NVIDIA_RTX_A5000'
	NVIDIA_RTX_A4000 = 'NVIDIA_RTX_A4000'
	NVIDIA_RTX_5090 = 'NVIDIA_RTX_5090'
	NVIDIA_RTX_4090 = 'NVIDIA_RTX_4090'
	NVIDIA_RTX_3090 = 'NVIDIA_RTX_3090'
	NVIDIA_V100 = 'NVIDIA_V100'
	NVIDIA_T4 = 'NVIDIA_T4'
	AMD_MI355X = 'AMD_MI355X'
	AMD_MI325X = 'AMD_MI325X'
	AMD_MI300X = 'AMD_MI300X'
	AMD_MI250 = 'AMD_MI250'
	OTHER = 'OTHER'

@dataclasses.dataclass
class ComputeGputypeGpu_manufacturer(str, Enum):
	NVIDIA = 'NVIDIA'
	AMD = 'AMD'
	INTEL = 'INTEL'
	OTHER = 'OTHER'

@dataclasses.dataclass
class ComputeGputypeArchitecture(str, Enum):
	X86_64 = 'X86_64'
	ARM64 = 'ARM64'
	OTHER = 'OTHER'

@dataclasses.dataclass
class ComputeGputype:
	"""Unique identifier for the GPU or instance type (vendor SKU)"""
	id: Optional[str]
	"""(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"""
	created_at: Optional[str]
	"""(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)"""
	updated_at: Optional[str]
	"""Display name of the type"""
	name: Optional[str]
	"""Normalized GPU model"""
	gpu_model: Optional[ComputeGputypeGpu_model]
	"""GPU manufacturer"""
	gpu_manufacturer: Optional[ComputeGputypeGpu_manufacturer]
	"""The vendor's own SKU or type name"""
	sku: Optional[str]
	"""GPUs included in one unit of this type"""
	gpu_count: Optional[int]
	"""Memory per GPU in MiB"""
	gpu_memory_mb: Optional[int]
	"""vCPUs included in one unit of this type"""
	cpu_count: Optional[int]
	"""System memory in MiB"""
	memory_mb: Optional[int]
	"""Local disk in MiB"""
	disk_mb: Optional[int]
	"""CPU architecture"""
	architecture: Optional[ComputeGputypeArchitecture]
	"""List prices by market and region"""
	prices: Optional[PropertyComputeGputypePrices]
	"""Availability by region"""
	availability: Optional[PropertyComputeGputypeAvailability]
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