--- title: "Gputype data model" url: "https://docs.unified.to/compute/gputype/model" description: "The Gputype data model object in Unified's Gputype API: 15 fields, including created_at, updated_at and name, with types and enum values." --- # Gputype data model View field support, webhooks, and list parameters for each integration on the [Supported Integrations](https://docs.unified.to/compute/integrations.md) page. | Field | Type | Required | Description | | --------------------------- | ----------------------------------------------------------------------------------------------- | -------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | id | string | No | Unique identifier for the GPU or instance type (vendor SKU) | | created\_at | string (date-time) | No | (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format) | | updated\_at | string (date-time) | No | (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format) | | name | string | No | Display name of the type | | gpu\_model | enum | No | Normalized 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\_manufacturer | enum | No | GPU manufacturer Values: NVIDIA, AMD, INTEL, OTHER | | sku | string | No | The vendor's own SKU or type name | | gpu\_count | number | No | GPUs included in one unit of this type | | gpu\_memory\_mb | number | No | Memory per GPU in MiB | | cpu\_count | number | No | vCPUs included in one unit of this type | | memory\_mb | number | No | System memory in MiB | | disk\_mb | number | No | Local disk in MiB | | architecture | enum | No | CPU architecture Values: X86\_64, ARM64, OTHER | | prices | [ComputePrice](https://docs.unified.to/compute/gputype/model.md#ComputePrice)\[\] | No | List prices by market and region | | prices\[\].market | enum | No | Pricing market Values: ON\_DEMAND, SPOT, RESERVED, COMMUNITY, OTHER | | prices\[\].region\_id | string | No | Region the price applies to, when it varies by region | | prices\[\].price\_amount | number | No | List price | | prices\[\].price\_unit | enum | No | Unit that price\_amount is quoted in Values: PER\_GPU\_HOUR, PER\_INSTANCE\_HOUR, OTHER | | prices\[\].currency | string | No | Currency of price\_amount (ISO 4217) | | availability | [ComputeAvailability](https://docs.unified.to/compute/gputype/model.md#ComputeAvailability)\[\] | No | Availability by region | | availability\[\].region\_id | string | No | The region this availability applies to | | availability\[\].level | enum | No | Normalized stock level Values: NONE, LOW, MEDIUM, HIGH, OTHER | | availability\[\].quantity | number | No | Number 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 ```typescript 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] ```