System requirements

Tabnine AI code assistant: System requirements

Tabnine client requirements

The Tabnine client runs as an IDE plugin/extension on the end user's machine.

Machine specs

• OS/Arch of the following:

  • Windows (Windows 10+), x86_64 or i686

  • Linux (kernel 3.2+), x86_64

  • Mac OS (10.7+, Lion+), x86_64 or aarch64

• 8GB+ RAM

• 4+ CPU cores

• Storage: 100 GB available space

Optional features additional requirements

• Provenance and Attribution:

  • Storage: 1 TB available space

Supported IDEs

IDE	Minimal supported version	Latest supported version	Windows OS	Mac OS	Linux OS
VS Code	1.68	1.95
JetBrains IDEs*	2023.2	2024.3
Eclipse	4.23 (2022-03)	4.33 (2024-09)
Visual Studio 2022	17.7.4	17.12

* JetBrains IDEs including IntelliJ, PyCharm, WebStorm, PhpStorm, GoLand, RubyMine, CLion, AppCode, Rider, DataGrip, and Android Studio

Network connection

• Connection to the Tabnine cluster on port 443

• Recommended for the initial install: Access to the IDE marketplaces (i.e., VS Code Marketplace, JetBrains Plugin Marketplace)

Permissions

• Execute permissions for the following executables:

  • TabNine

  • TabNine-deep-local

  • TabNine-deep-cloud

  • WD-TabNine

  • TabNine-server-runner

  • vdb

  • jdtls

  • typescript-language-server

• Write and execute permissions for the following machine paths:

  • Linux: ~/.config & ~/.tabnine

  • Mac OS: /Users/{{username}}/Library/Preferences & /Users/{{username}}/Library/Application Support

  • Windows: C:\Users\{{username}}\AppData\Roaming\

---

Tabnine cluster requirements (private installation)

1. Requirements for the Tabnine cluster in a private installation (Enterprise customers)

2. For code completions and Tabnine Chat in private installation

3. Tabnine can run on any modern Hyperscaler GPU. If you're interested in a GPU type not listed below, please contact our team to check compatibility.

Note: The following GPUs are not supported:

• RTX6000

• V100

• T4

GPU nodes

Each node should have at least 512GB SSD.

Provider	Number of users	Minimal	Recommended	Unsupported
GCP	up to 100	a2-highgpu-2g	a2-highgpu-2g
GCP	up to 1000	a2-highgpu-2g	a2-highgpu-4g
AWS	up to 100	g5.12xlarge	g6e.12xlarge
AWS	up to 1000	g6e.12xlarge	g6e.12xlarge
Azure	up to 100	Standard_NC48ads_A100_v4	Standard_NC48ads_A100_v4
Azure	up to 1000	Standard_NC48ads_A100_v4	Standard_NC96ads_A100_v4
On-premises server	Minimal	2 * NVIDIA L40S GPU (see qualified system catalog) with at least 256GB RAM, 960 SSD and 32 CPU cores. With Nvidia driver >= 525.78.01 installed or 2 * A100 40GB	4 * A100 80GB Nvidia qualified worker node (see qualified system catalog) with at least 256GB RAM, 960 SSD and 32 CPU cores. With Nvidia driver >= 525.78.01 installed or 4 * NVIDIA L40S (see qualified system catalog) with at least 256GB RAM, 960 SSD and 32 CPU cores. With Nvidia driver >= 525.78.01 installed	The following GPUs are not supported: * RTX6000 * V100 * T4

* Minimal: The minimum specifications required to run both code completions and chat. Recommended: Will provide better response times for code completions and chat.

** The cost may vary depending on the region and customer-specific agreements with the cloud vendor. Utilizing reserved instances instead of on-demand services can help lower pricing.

Domain Name System (DNS)

DNS configured with an A or CNAME record for the load balancer where the application will be exposed.

SSL certificate

SSL certificate and private key issued and signed by a Certificate Authority that you trust (key and certificate in pem format).

Network connection

• Connection to Tabnine docker registry:

  • Host: registry.tabnine.com

  • IP: 34.72.243.185

  • Port: 443

• Connection to Tabnine log gateway for collecting technical, aggregated metrics and logs (optional):

  • Host: logs-gateway.tabnine.com

  • IP: 34.123.33.186

  • Port: 443

DB

• Redis minimal version: 6.2.11

• PostgreSQL minimal version: 14.4