What is the difference between EcoHash and Mulligan Compute?

EcoHash and Mulligan Compute 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 Mulligan Compute?

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 Mulligan Compute?

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 Mulligan Compute, with 0 models available from both providers.

EcoHash vs Mulligan Compute

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

EcoHash

Provider 1

GPUs Available

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Mulligan Compute

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

EcoHash GPUs

Mulligan Compute GPUs

Direct Comparisons

Average Price Difference: $0.08/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 2Both available: 1EcoHash: 1Mulligan Compute: 2

Showing 2 of 2 GPUs

Last updated: 11/13/2026, 3:11:37 PM

GPU Model ↑	EcoHash Price	Mulligan Compute Price	Price Diff ↕	Sources
H100 SXM 80GB VRAM • Mulligan Compute	Not Available	$3.91/hr★ Best	—	Mulligan Compute
H100 SXM 80GB VRAM • Not Available Mulligan Compute $3.91/hour Updated: 11/13/2026 ★Best Price Mulligan Compute
RTX PRO 6000 96GB VRAM • EcoHashMulligan Compute	$1.89/hr	$1.81/hr★ Best	↑+$0.08(+4.4%)	EcoHash Mulligan Compute
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 11/13/2026 Mulligan Compute $1.81/hour Updated: 11/13/2026 ★Best Price Price Difference:↑+$0.08(+4.4%) EcoHash Mulligan Compute

H100 SXM 80GB VRAM • Mulligan Compute	Not Available	$3.91/hr★ Best	—	Mulligan Compute
H100 SXM 80GB VRAM • Not Available Mulligan Compute $3.91/hour Updated: 11/13/2026 ★Best Price Mulligan Compute
RTX PRO 6000 96GB VRAM • EcoHashMulligan Compute	$1.89/hr	$1.81/hr★ Best	↑+$0.08(+4.4%)	EcoHash Mulligan Compute
RTX PRO 6000 96GB VRAM • EcoHash $1.89/hour Updated: 11/13/2026 Mulligan Compute $1.81/hour Updated: 11/13/2026 ★Best Price Price Difference:↑+$0.08(+4.4%) EcoHash Mulligan Compute

LLM API Pricing Comparison

Total models: 11Both available: 0EcoHash: 11Mulligan Compute: 0

Showing 11 of 11 models

Prices per 1M tokens · Last updated: 11/13/2026, 3:11:37 PM

Model ↑	EcoHash	Mulligan Compute	Input Diff ↕
DeepSeek V4 Pro DeepSeek	$0.910 in $2.72 out	Not available	—
GLM-5.2 Z.ai	$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 AI	$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 3.8 Flash Alibaba	$0.090 in $0.370 out	Not available	—
Qwen 3.8 Max Alibaba	$1.90 in $5.70 out	Not available	—
Qwen3.8 27B Alibaba	$0.300 in $0.600 out	Not available	—
Whisper V3 Turbo OpenAI	$0.100 in $0.0000 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.

Mulligan Compute

GPU Allocation
Sourcing NVIDIA GPUs and servers tailored to specific requirements.
Dedicated Servers
Offering dedicated bare-metal servers with complete access.
Flexible Rental Options
Renting GPU servers by the month for various workloads.
Compliance Management
Ensuring compliance with end-user regulations before hardware provisioning.
Custom Build Planning
Providing specifications and planning for custom server builds.

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

Mulligan Compute

Advantages

Dedicated servers with full access
Flexible GPU rental options
Compliance management included
Custom configurations available

Considerations

No inventory held, everything is sourced to order
Not an authorized NVIDIA distributor
No standard pricing available; quotes provided per order

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.

Mulligan Compute

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

Mulligan Compute

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.

Mulligan Compute

Get Started

1
Share Your Specifications
Send the desired configuration, quantity, and workload needs.
2
Receive a Written Quote
A detailed quote will be provided with specifications and options.
3
Clear Compliance Checks
Compliance details for the end-user will be collected.
4
Order Sourcing
The order will be placed with the selected supplier.
5
Shipping or Deployment
Choose to have the product shipped or set up in a colocation facility.

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.

Mulligan Compute

Global Regions

Support

Contact available via email and phone for inquiries.