AI TOOL PROFILE
Packet: On-Demand GPU Cloud Platform
- Software Development
- Cloud Infrastructure
- 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.
At a glance
- Best for
- Software Companies, Data Science Teams, AI Companies, ML Engineers
- Key use cases
- AI Application Development, Machine Learning Model Training, LLM Inference Workloads, Rapid Prototyping
- Official website
- Visit packet official website
How AI is used
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
Full Root SSH Access
Provides control over GPU instances with root access and pre-installed CUDA and Python toolchains.
Token Factory API
A managed inference API that is OpenAI-compatible, allowing users to pay per token for LLM workloads.
Web UI and CLI
Deployment and management options available via a browser-based dashboard or a dedicated command-line interface.
Persistent Storage
Includes NVMe SSDs that allow data to survive reboots; users pay for storage while pods are stopped.
Real time Monitoring
A dashboard for tracking GPU utilization, VRAM usage, temperature, and power draw.
99.9% Uptime SLA
A service level agreement guaranteeing 99.9% monthly uptime for paid GPU instances.
Use Cases
AI Application Development
Building and deploying AI-driven software using on-demand GPU resources.
Machine Learning Model Training
Training ML models using high-VRAM GPUs like the B200 or H200.
LLM Inference Workloads
Running inference for large language models via the Token Factory managed API or self-managed instances.
Rapid Prototyping
Using the CLI to launch instances with VS Code or Jupyter pre-installed for interactive development.
FAQ
How fast can I deploy a GPU on Packet?
- The platform is designed to allow users to go from signup to SSH access in under 5 minutes.
What GPUs are available for rent?
- Packet offers NVIDIA B200, H200, and RTX PRO 6000 Blackwell GPUs.
Does Packet require a contract or credit card to start?
- No contracts are required, and no credit card is needed to explore the platform.
Is the inference API compatible with existing AI code?
- 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
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