What is the difference between EcoHash and Jarvis Labs?

EcoHash and Jarvis Labs 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 Jarvis Labs?

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 Jarvis Labs?

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 7 different GPU models across both EcoHash and Jarvis Labs, with 0 models available from both providers.

EcoHash vs Jarvis Labs

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

EcoHash

Provider 1

GPUs Available

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Jarvis Labs

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

EcoHash GPUs

Jarvis Labs GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 7Both available: 1EcoHash: 1Jarvis Labs: 7

Showing 7 of 7 GPUs

Last updated: 10/6/2026, 10:07:16 AM

GPU Model ↑	EcoHash Price	Jarvis Labs Price	Price Diff ↕	Sources
A100 PCIE 40GB VRAM • Jarvis Labs	Not Available	$0.89/hr★ Best	—	Jarvis Labs
A100 PCIE 40GB VRAM • Not Available Jarvis Labs $0.89/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
A100 SXM 80GB VRAM • Jarvis Labs	Not Available	$1.49/hr★ Best	—	Jarvis Labs
A100 SXM 80GB VRAM • Not Available Jarvis Labs $1.49/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
A30 24GB VRAM • Jarvis Labs	Not Available	$0.41/hr★ Best	—	Jarvis Labs
A30 24GB VRAM • Not Available Jarvis Labs $0.41/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
H100 SXM 80GB VRAM • Jarvis Labs	Not Available	$2.69/hr★ Best	—	Jarvis Labs
H100 SXM 80GB VRAM • Not Available Jarvis Labs $2.69/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
H200 141GB VRAM • Jarvis Labs	Not Available	$3.99/hr★ Best	—	Jarvis Labs
H200 141GB VRAM • Not Available Jarvis Labs $3.99/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
L4 24GB VRAM • Jarvis Labs	Not Available	$0.44/hr★ Best	—	Jarvis Labs
L4 24GB VRAM • Not Available Jarvis Labs $0.44/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
RTX PRO 6000 96GB VRAM • EcoHashJarvis Labs	$1.89/hr	$1.89/hr★ Best	↓$0.00(0.0%)	EcoHash Jarvis Labs
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/6/2026 Jarvis Labs $1.89/hour Updated: 10/4/2026 ★Best Price Price Difference:↓N/A(0.0%) EcoHash Jarvis Labs

A100 PCIE 40GB VRAM • Jarvis Labs	Not Available	$0.89/hr★ Best	—	Jarvis Labs
A100 PCIE 40GB VRAM • Not Available Jarvis Labs $0.89/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
A100 SXM 80GB VRAM • Jarvis Labs	Not Available	$1.49/hr★ Best	—	Jarvis Labs
A100 SXM 80GB VRAM • Not Available Jarvis Labs $1.49/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
A30 24GB VRAM • Jarvis Labs	Not Available	$0.41/hr★ Best	—	Jarvis Labs
A30 24GB VRAM • Not Available Jarvis Labs $0.41/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
H100 SXM 80GB VRAM • Jarvis Labs	Not Available	$2.69/hr★ Best	—	Jarvis Labs
H100 SXM 80GB VRAM • Not Available Jarvis Labs $2.69/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
H200 141GB VRAM • Jarvis Labs	Not Available	$3.99/hr★ Best	—	Jarvis Labs
H200 141GB VRAM • Not Available Jarvis Labs $3.99/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
L4 24GB VRAM • Jarvis Labs	Not Available	$0.44/hr★ Best	—	Jarvis Labs
L4 24GB VRAM • Not Available Jarvis Labs $0.44/hour Updated: 10/4/2026 ★Best Price Jarvis Labs
RTX PRO 6000 96GB VRAM • EcoHashJarvis Labs	$1.89/hr	$1.89/hr★ Best	↓$0.00(0.0%)	EcoHash Jarvis Labs
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 10/6/2026 Jarvis Labs $1.89/hour Updated: 10/4/2026 ★Best Price Price Difference:↓N/A(0.0%) EcoHash Jarvis Labs

LLM API Pricing Comparison

Total models: 13Both available: 0EcoHash: 13Jarvis Labs: 0

Showing 13 of 13 models

Prices per 1M tokens · Last updated: 10/6/2026, 10:07:16 AM

Model ↑	EcoHash	Jarvis Labs	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.

Jarvis Labs

Instant GPU Access
Get access to powerful GPUs instantly with zero setup complexity
Fast Boot Times
Boot templates in 1.8 seconds or VMs in under 90 seconds
Per-minute Billing
Pay-as-you-go with per-minute billing and no upfront commitments
CLI & Python SDK
Comprehensive command-line and Python SDK with agent integration for Claude Code, Cursor, and other AI coding agents
Multi-GPU Scaling
Scale up to 8 GPUs per instance for demanding workloads
Instance Management
Easy pause, resume, and delete functionality for cost optimization

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

Jarvis Labs

Advantages

Quick setup - get started in less than 5 minutes
Per-minute billing for precise cost control
Fast boot times (templates in 1.8s, VMs under 90s)
Agent-native support for Claude Code, Cursor, and AI coding tools

Considerations

Primarily focused on India and EU regions
Newer player compared to established cloud giants
Large clusters, reserved capacity and committed pricing go through sales rather than self-service

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.

Jarvis Labs

GPU Instances

On-demand GPU instances with various configuration options

Pre-configured templates for popular ML frameworks
Scalable GPU resources

Templates

Pre-built environments for instant deployment

Boot in 1.8 seconds
Persistent storage across stop/start

Virtual Machines

Full root access VMs for custom configurations

Root SSH access from minute one
Custom Docker/Kubernetes support

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

Jarvis Labs

On-Demand Instances

Per-minute billing with no minimum commitments and instant provisioning

Spot Instances

Use spare capacity with significant discounts up to 56% off on-demand pricing

Monthly Commitments

Small discounts for 1-month, 3-month, 6-month and 1-year commitments, up to 9% off on-demand with a 1-year term

Volume and Reserved Capacity

Custom quotes through sales for 25+ GPUs, reserved capacity and H200 InfiniBand clusters

Model API Token Pricing

Hosted open models billed per input and output token, with rates set per model

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.

Jarvis Labs

Get Started

1
Create a New Account
Sign up for a new account on the Jarvis Labs platform
2
Recharge Your Wallet
Add funds to your account in the Recharge section
3
Choose and Launch a Template
Explore the wide range of templates, configure your desired setup, and click Launch
4
Manage Your Instances
Easily pause ⏸️, resume ▶️, and delete 🗑️ your instances with just a few clicks

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.

Jarvis Labs

Global Regions

GPU clusters deployed in India (Noida) and Europe with flexible regional instance management

Support

Documentation, tutorials, and getting started guides available