EcoHash vs Salad: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for EcoHash and Salad. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute

EcoHash

Salad

Provider type

Specialist

Marketplace

Founded

2024

2018

Headquarters

United States

Boston, MA

Billing model

On-demand

Per-second on-demand, Reserved contracts (Dedicated)

Min commitment

None

None (Community Cloud)

Support tier

Community → Standard

Community → Enterprise

Regions

1 regions

3 regions

Strengths & Best For

EcoHash

EcoHash is a GPU cloud offering NVIDIA RTX PRO 6000 Blackwell instances with 96GB GDDR7 VRAM alongside an open-model inference API, making it one of the few providers offering the latest RTX PRO 6000 hardware for large-context AI inference and training. The open-model API enables developers to access popular open-source models without managing infrastructure. A strong choice for teams that need maximum VRAM on RTX-class hardware for large-model inference.

Strengths

RTX PRO 6000 Blackwell — 96GB GDDR7 VRAM
Open-model inference API
Large-context inference capability
Competitive RTX PRO 6000 pricing

Weaknesses

Very new provider — limited track record
Smaller scale vs established providers
Limited documentation and ecosystem

Best For

Large-context LLM inference needing maximum VRAMTeams wanting RTX PRO 6000 on-demandOpen-model API users

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Salad

Salad orchestrates idle consumer GPUs from homes and small businesses worldwide into a single API-driven platform. GPU catalog: RTX 5090, RTX 4090, RTX 5080, RTX 4080, RTX 3090. Four priority tiers: High (never preempted), Medium, Low, Lowest (batch, cheapest). vCPU and RAM included with every GPU. Products: Community Cloud (lowest-cost distributed pool), Salad Dedicated (reserved RTX PRO 6000 Blackwell bare metal on contract), AI Gateway (OpenAI-compatible LLM endpoint), Transcription API, Private AI Cloud (run on your own idle GPUs). SOC 2 Type I. Trusted by Civitai (10M images/day).

Strengths

RTX 4090 (Lowest priority) — cheapest RTX 4090 inference anywhere
RTX 5090 (Lowest priority) — Blackwell at consumer prices
Four priority tiers: High/Medium/Low/Lowest — balance cost vs reliability
vCPU and RAM included with every GPU at no extra charge
Per-second billing, no cold-start charges, no minimums
Salad Dedicated: RTX PRO 6000 Blackwell bare metal on contract

Weaknesses

Consumer GPU network — not suitable for sub-10ms latency or NVLink multi-GPU training
No data-residency guarantees on Community Cloud
Interruptible nodes require fault-tolerant workload design

Best For

Batch image generation and video AI at lowest costLLM inference via AI GatewaySpeech-to-text transcription at scaleTeams wanting private cloud on their own idle hardware

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Region Coverage

EcoHash — 1 regions

Salad — 3 regions

USEUGlobal (190+ countries)

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Provider pages

EcoHash pricing and specs Salad pricing and specs

Key differences

EcoHash

RTX PRO 6000 GPU cloud with an open-model inference API

Salad

RTX 5090, RTX 4090 (Lowest priority) — distributed idle GPUs, per-second billing

AttributeEcoHashSalad

Provider typespecialistmarketplace

Billing modelOn-demandPer-second on-demand, Reserved contracts (Dedicated)

Min commitmentNoneNone (Community Cloud)

Regions1 (US)3 (US, EU, Global (190+ countries))

Support tierCommunity → StandardCommunity → Enterprise

Best forLarge-context LLM inference needing maximum VRAM, Teams wanting RTX PRO 6000 on-demandBatch image generation and video AI at lowest cost, LLM inference via AI Gateway

Founded / HQ2024 · United States2018 · Boston, MA