What is the difference between EcoHash and Packet AI?

EcoHash and Packet AI are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: EcoHash or Packet AI?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between EcoHash and Packet AI?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 2 different GPU models across both EcoHash and Packet AI, with 0 models available from both providers.

EcoHash vs Packet AI

Compare GPU and LLM inference API pricing between EcoHash and Packet AI. Find the best rates for AI training, inference, and ML workloads.

EcoHash

Provider 1

GPUs Available

Visit Website

Packet AI

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

EcoHash GPUs

Packet AI GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 2Both available: 0EcoHash: 1Packet AI: 1

Showing 2 of 2 GPUs

Last updated: 10/6/2026, 3:22:41 AM

GPU Model ↑	EcoHash Price	Packet AI Price	Price Diff ↕	Sources
B200 180GB VRAM • Packet AI	Not Available	$3.75/hr★ Best	—	Packet AI
B200 180GB VRAM • Not Available Packet AI $3.75/hour Updated: 10/5/2026 ★Best Price Packet AI
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/5/2026 ★Best Price Not Available EcoHash

B200 180GB VRAM • Packet AI	Not Available	$3.75/hr★ Best	—	Packet AI
B200 180GB VRAM • Not Available Packet AI $3.75/hour Updated: 10/5/2026 ★Best Price Packet AI
RTX PRO 6000 96GB VRAM • EcoHash	$1.89/hr★ Best	Not Available	—	EcoHash
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/5/2026 ★Best Price Not Available EcoHash

LLM API Pricing Comparison

Total models: 13Both available: 0EcoHash: 13Packet AI: 0

Showing 13 of 13 models

Prices per 1M tokens · Last updated: 10/6/2026, 3:22:41 AM

Model ↑	EcoHash	Packet AI	Input Diff ↕
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	Not available	—
GLM-5.2 Zhipu	$1.00 in $3.00 out	Not available	—
GLM-5.3 Z AI	$1.25 in $4.30 out	Not available	—
GPT-OSS-20B OpenAI	$0.050 in $0.200 out	Not available	—
Kimi K3 Moonshot	$2.00 in $12.00 out	Not available	—
Llama 3.1 8B Meta	$0.100 in $0.100 out	Not available	—
MiniMax-M3 MiniMax	$0.200 in $0.900 out	Not available	—
Qwen 3 Coder 30B Alibaba	$0.100 in $0.300 out	Not available	—
Qwen 3.8 Flash Alibaba	$0.090 in $0.370 out	Not available	—
Qwen 3.8 Max Alibaba	$1.90 in $5.70 out	Not available	—
Qwen3 Omni 30B A3B Alibaba	$0.400 in $0.800 out	Not available	—
Qwen3 VL 8B Alibaba	$0.150 in $0.500 out	Not available	—
Qwen3.6 35B A3B Alibaba	$0.400 in $0.400 out	Not available	—

Features Comparison

EcoHash

RTX PRO 6000 GPU Instances
Containerized Linux instances with 1, 2, 4 or 8 RTX PRO 6000 GPUs, with root access, SSH, a browser terminal and Jupyter.
GPU Clusters
Clusters of 2–8 identical replicas launched as one unit.
Per-Second Billing
GPU instances are billed per second of running time at one per-GPU rate across instance, dedicated-inference and cluster workloads.
OpenAI-Compatible Inference API
Pay-per-token access to platform models for chat, embeddings, reranking, image generation, speech-to-text, text-to-speech, voice cloning and video generation at api.ecohash.com.
Dedicated Inference
Deploy a Hugging Face or registered model as a managed endpoint called through the same API and key.
Managed Fine-Tuning
LoRA/QLoRA fine-tuning jobs on 1, 2 or 4 GPUs, billed per minute, with a dataset registry that validates JSONL before any GPU is booked.

Packet AI

Full Root SSH Access
Direct SSH access to GPU instances with full root control and native performance
Browser-Based Development
VS Code and Jupyter environments accessible directly in the browser
OpenAI-Compatible API
Drop-in replacement for OpenAI APIs with automatic model discovery and streaming support
Instant Setup
Deploy GPU instances in under 5 minutes without procurement cycles or contracts
Smart Resource Optimization
Advanced scheduling technology that optimizes GPU utilization and reduces costs

Pros & Cons

EcoHash

Advantages

Per-second billing with a single per-GPU rate across instance sizes
96 GB of VRAM per GPU on Blackwell-generation RTX PRO 6000 cards
One OpenAI-compatible API for platform models and dedicated endpoints
Covers GPU rental, fine-tuning and inference on one account

Considerations

Single GPU model (RTX PRO 6000); no H100, H200 or B200 capacity
GPU instances available in the United States only
Fine-tuning limited to LoRA/QLoRA jobs on up to 4 GPUs

Packet AI

Advantages

Fast deployment under 5 minutes
Free unlimited data egress
OpenAI-compatible API for inference
Browser-based development environments (VS Code, Jupyter)

Considerations

B200s currently sold out, H200s coming soon
Newer provider with less established track record
Limited data center locations compared to major clouds

Compute Services

EcoHash

RTX PRO 6000 GPU Instances

Containerized Linux GPU instances with SSH, web-terminal and Jupyter access, billed per second at the same per-GPU rate for every size.

Packet AI

Pricing Options

EcoHash

GPU instances

Per GPU-hour, billed per second of running time

Inference API

Per token for language models and per second for some media models, with no minimum commitment

Dedicated Inference

Per GPU-hour for the GPUs behind the endpoint

Fine-tuning

Per minute of GPU time

Packet AI

On-Demand Pricing

Pay per second with no long-term commitments or minimum usage requirements

Smart Scheduling

Advanced resource optimization that reduces costs by eliminating idle GPU time

Getting Started

EcoHash

Get Started

1
Create an account
Sign up at console.ecohash.com.
2
Create an API key
Generate a key in the console for the inference API and dedicated endpoints.
3
Call a platform model
Point an OpenAI SDK client at https://api.ecohash.com/v1 and choose a model from the catalog.
4
Launch a GPU instance
Pick a compute template and a 1, 2, 4 or 8 GPU size, then connect over SSH, the browser terminal or Jupyter.

Packet AI

Get Started

1
Sign up in seconds
Quick account creation with no credit card required to start
2
Select GPU type
Choose from available NVIDIA GPUs including RTX Pro 6000, H200s, and B200s
3
Deploy and connect
Instance ready in under 5 minutes with SSH access or web dashboard

Support & Global Availability

EcoHash

Global Regions

GPU instances: United States. Inference API: multi-region routing.

Support

Documentation at docs.ecohash.com and a contact form on ecohash.com; an SLA is published on the website.

Packet AI