Packet: On-Demand GPU Cloud Platform
Packet helps software companies and data science teams access high-performance GPU compute without long-term contracts. It is designed for teams that may need to reduce infrastructure costs for AI application development and model training.
At a glance
- Category
- Software Development
- Best for
- Software Companies, Data Science Teams, AI Companies, ML Engineers
- Pricing
- Pricing is usage-based, with some options starting at $0.27 per hour for an RTX PRO 6000 96GB. Token Factory inference is priced per million tokens with different rates for real time and batch processing.
- Key use cases
- AI Application Development, Machine Learning Model Training, LLM Inference Workloads, Rapid Prototyping
- Official website
- packet.ai
Packet is a GPU cloud platform designed for developers who need on-demand access to NVIDIA hardware. It provides several GPU options, including the Blackwell B200, H200, and RTX PRO 6000 cards, supporting workloads that require high VRAM and compute power.
The platform is built for AI companies and data science teams. It supports several deployment methods, including a web-based dashboard, full root SSH access, and a dedicated CLI for technical workflows.
Beyond raw compute, Packet includes a managed inference API called Token Factory, which is an OpenAI-compatible option for running LLM inference. This may help teams move from proprietary APIs to open-source models on their own infrastructure.
Buyers should confirm that their specific technical stack is compatible with the pre-installed CUDA and Python environments and review the SLA terms for their specific uptime requirements.
Key Features
Provides control over GPU instances with root access and pre-installed CUDA and Python toolchains.
A managed inference API that is OpenAI-compatible, allowing users to pay per token for LLM workloads.
Deployment and management options available via a browser-based dashboard or a dedicated command-line interface.
Includes NVMe SSDs that allow data to survive reboots; users pay for storage while pods are stopped.
A dashboard for tracking GPU utilization, VRAM usage, temperature, and power draw.
A service level agreement guaranteeing 99.9% monthly uptime for paid GPU instances.
Use Cases
Building and deploying AI-driven software using on-demand GPU resources.
Training ML models using high-VRAM GPUs like the B200 or H200.
Running inference for large language models via the Token Factory managed API or self-managed instances.
Using the CLI to launch instances with VS Code or Jupyter pre-installed for interactive development.
Best For
Pricing
Pricing is usage-based, with some options starting at $0.27 per hour for an RTX PRO 6000 96GB. Token Factory inference is priced per million tokens with different rates for real time and batch processing.
FAQ
The platform is designed to allow users to go from signup to SSH access in under 5 minutes.
Packet offers NVIDIA B200, H200, and RTX PRO 6000 Blackwell GPUs.
No contracts are required, and no credit card is needed to explore the platform.
Yes, the Token Factory API is OpenAI-compatible; users can switch by changing the base URL and API key in the OpenAI SDK.
Source category: Software Development
Source subcategory: Cloud Infrastructure
