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SaladCloud

Verified ProviderDistributed Consumer GPU Grid 4.7 / 5.0 (156 reviews)

World's Largest Distributed Consumer GPU Grid from $0.08/hr

SaladCloud harnesses tens of thousands of idle consumer GPUs (RTX 3080, 3090, 4090) into an ultra-low-cost container execution grid. With pricing as low as $0.08 to $0.14/hr, Salad is unbeatable for high-throughput batch workloads such as Whisper audio transcription, batch diffusion rendering, and LLM synthetic data generation.

Regions
Global (US, EU, Asia-Pacific)
Billing Model
Per Second
Stop & Storage Cost
N/A
Egress Bandwidth
Free / Included
Developer Tooling:Ephemeral Disk (Wiped on Stop)NAT / Port Forwarding Docker ContainersUSDT / Crypto BillingNo Mandatory KYCWhisper Batch TranscriptionHeadless ComfyUI WorkerSDXL Batch WorkervLLM Worker

SaladCloud GPU Catalog & Real-Time Hourly Pricing (3 Tiers)

View Dedicated Pricing Guide & Specs
GPU Model (Click for Specs)VRAMInterconnectvCPU / System RAMSpot HourlyOn-Demand HourlyActions
NVIDIA GeForce RTX 309024 GBPCIe 4.0 x164 vCPUs / 16GB
$0.08/hr-20%
$0.10/hr
NVIDIA GeForce RTX 409024 GBPCIe 4.0 x168 vCPUs / 32GB
$0.14/hr-22%
$0.18/hr
2x NVIDIA GeForce RTX 409048 GBPCIe 4.0 x1616 vCPUs / 64GB
$0.28/hr-22%
$0.36/hr

SaladCloud Serverless Token Inference Pricing

Compare Token Rates Across All APIs →
AI ModelCategoryCold StartContext WindowInput ($/1M or Unit)Output / 1M TokensSpeedActions
FLUX.1-schnell-BatchIMAGEWARM_CONTAINER—$0.002 / img—Stateless API
Whisper-Large-v3-BatchAUDIOWARM_CONTAINER—$0.0025 / min—Stateless API
Interactive On-Site Simulation

SaladCloud Monthly Cost & Stopped Storage Estimator

Simulate your real-world monthly bill including active GPU compute and stopped persistent volume storage overhead.

Workload Presets:
6 hrs / day (183 hrs / mo)
1 hr (Testing)8 hrs (Full workday)16 hrs (Heavy training)24 hrs (Continuous serving)
200 GB NVMe SSD
50 GB (Base OS)250 GB (ComfyUI + Models)500 GB (Flux + SDXL cache)1,000 GB (1TB 70B Weights)
Developer Gotcha: Stopped Storage Billing

When you click Stop Instance on SaladCloud, your GPU compute charge stops, but the 200GB disk volume continues billing 24/7 ($20.00/mo) until you terminate the volume. Always backup checkpoints to HuggingFace or S3 before terminating.

Estimated Total Monthly BillSpot Rate
$45.62 / month

Hourly run-rate: $0.14/hr compute + $0.0274/hr disk

Active GPU (183 hrs):$25.62
Persistent Disk (200GB 24/7):$20.00
You save ~$200/mo (81%) vs AWS EC2

Equivalent cloud capacity on AWS would cost approx. $245/mo for 6h daily runtime.

Estimated Monthly Cost for this Workload:
SaladCloud:$45.62/mo
RunPod Equivalent:$100.52/mo
AWS Cloud Equivalent:$245.43/mo
Watch Out For (Known Quirks & Pitfalls)
  • •Nodes run on distributed consumer gaming PCs: nodes have dynamic residential IPs, not fixed datacenter IPs.
  • •Not suitable for stateful SSH training: nodes can disconnect if the consumer gamer reclaims their PC.
  • •Strictly containerized via SaladCloud API; you must build your application as a self-recovering Docker image.
Pro Tips & Optimization Hacks
  • ✓Unbeatable cost for batch Whisper transcription, FLUX/SDXL image rendering, and async model inference ($0.18/hr for RTX 4090).
  • ✓Implement queue workers (e.g. SQS, Redis BullMQ) where tasks take <60s each, so node drops have zero user impact.
  • ✓Pre-bake model weights into container layers or pull from cloud storage with aggressive multi-part streaming.
Hidden Cost Radar
Stopped Storage:$0.00 (Stateless container caching only)
Egress Bandwidth:Free / Included in low hourly rate
Billing Increment:Per Second
Min Deposit:$10.00 initial credit
Interconnect & Fabric
NVSwitch Bandwidth:N/A (Consumer single-card desktop topology)
Cluster Fabric:None (Residential broadband)
P2P Reliability:LIMITED
Datacenter:Decentralized Edge Residential Nodes (100k+ global consumer PCs)
DevOps & Automation
Direct SSH (Port 22):✕ Web Terminal
CLI & Python SDK:✓ Official SDK
SkyPilot & Terraform:Manual Orchestration
Spot Notice Buffer:Instant drop if host gamer reclaims PC (queue retry architecture required)
Recommended Workloads:Asynchronous batch AI generation (Whisper, FLUX, Stable Diffusion) • Ultra-low-cost video processing and upscaling pipelines • Stateless API workers with automatic task retries
Avoid Using For:Long-running multi-hour stateful training jobs • Interactive Jupyter notebooks or live debugging

Full-Lifecycle TCO & Hidden Cost EstimatorReal Invoicing

Calculate actual project costs including stopped storage fees and network egress penalties.

Active Hours/Day:6 hrs
1 hr (ad-hoc)24 hrs (uninterrupted)
Duration (Days):30 days
1 day30 days (1 mo)90 days
Attached Disk (GB):200 GB
20 GB200 GB (ComfyUI)2 TB (Datasets)
Monthly Egress (GB):100 GB
0 GB100 GB1,000 GB
Total Estimated Bill
$37.73
over 30 days (180h active)
Effective Hourly Cost
$0.21/hr
Base: $0.10/hr
Raw GPU Compute
$18.00
47.7% of invoice
Hidden Fees (Disk + Egress)
$19.73
52.3% hidden overhead
Invoice BreakdownCompute ($18) • Storage ($20) • Egress ($0)
Veteran Warning: Storage and network fees represent 52.3% of your bill! Selecting a provider with unmetered egress (e.g. RunPod, Vast.ai, MassedCompute) or auto-pausing disk volumes will save you substantial capital.
Ecosystem Alternatives

Top Alternatives to SaladCloud

Evaluate competing GPU clouds for pricing, speed, and platform reliability.

View All SaladCloud Alternatives (2)
Vast.ai$0.20/hr

Decentralized marketplace with root SSH terminal and direct JupyterLab

When your workload requires direct SSH interaction, persistent storage volumes, or dedicated port proxies, Vast.ai provides full OS-level host control.

RunPod$0.44/hr

Standardized container cloud with guaranteed datacenter reliability

RunPod guarantees enterprise Tier 3 datacenters with decoupled persistent storage and 10 Gbps HuggingFace cache mounts.

Developer Launch Recipes

1-Click Docker & SSH Recipes for SaladCloud

Tested terminal commands for immediate deployment on NVIDIA GeForce RTX 3090 instances.

Container Ready
# 1. SSH into your SaladCloud instance:
# ssh root@<instance_ip> -p <ssh_port>

# 2. Launch ComfyUI with FLUX.1 & SDXL model cache:
docker run -d --gpus all --name comfyui \
  --restart unless-stopped \
  -p 8188:8188 \
  -v /workspace/ComfyUI/models:/root/ComfyUI/models \
  -v /workspace/ComfyUI/output:/root/ComfyUI/output \
  yanwk/comfyui-boot:cu124

# Access ComfyUI in your browser at: http://<instance_ip>:8188
💡 Tip: Make sure your security group / host port mapping allows ingress on the selected port.Open SaladCloud Console
Independent Platform Audit

SaladCloud Architecture, Gotchas & Engineering Verdict

Host Infrastructure Model

SaladCloud operates as a decentralized compute marketplace. Hardware is hosted by verified data centers and independent node operators globally, yielding dramatic cost savings on spot capacity.

Tier: Distributed Consumer GPU Grid
Key Platform Strengths
  • ✓Extremely competitive hourly spot rates with up to 60% savings.
  • ✓Direct root SSH and Docker container flexibility.
  • ✓USDT / Crypto payment supported with zero KYC.
Gotchas & Traps to Watch For
  • !Stopped Storage Fee: Persistent disk volumes accrue billing 24/7 (Included in Container Rate) until deleted.
  • !Preemption Risk: Spot instances can be interrupted if a higher bidder arrives. Write frequent model checkpoints.
  • !Bandwidth Variance: Verify host download speeds before pulling 50GB+ model checkpoints.
4.7 / 5.0

Developer Reviews & Telemetry Audit

Aggregated from 156 verified AI engineers deploying vLLM, ComfyUI, and production API workloads.

View All Verified Reviews (156)
Uptime Telemetry
98.2%
Verified SLA availability
HuggingFace Cache
450 MB/s (~4 Gbps)
Model download speed
Billing Transparency
98%
Zero hidden surcharges
Developer SDK & CLI
91%
OpenAI compatibility rating
Processed 50,000 hours of audio on Whisper for under $350
Verified: Whisper Large-v3 Batch Transcription

“Salad's consumer GPU grid is an economic miracle for batch transcription jobs. Renting RTX 3090s at $0.08/hr cut our speech-to-text pipeline costs by 88% compared to AWS EC2 G5.”

Julian Becker — Data Engineering Lead @ TranscribeScale2026-03-19
Unbeatable price-to-compute ratio for asynchronous diffusion workloads
Verified: Synthetic Dataset Image Generation

“Because consumer nodes can drop off occasionally, you must design retry queues using SQS or Celery. Once implemented, generating millions of synthetic training images on Salad costs a fraction of any cloud.”

Chao Wei — ML Platform Engineer @ AuraSynthetic2026-03-02