Both platforms offer affordable GPU compute from distributed providers, but they take fundamentally different approaches to reliability, pricing, and the user experience. If you've been comparing the two, here's an honest breakdown.
The core difference: Vast.ai is a raw marketplace where individual GPU owners list machines at their own prices with varying reliability. io.net is a curated decentralized network with health-checked nodes, consistent performance, and a unified platform experience. Think Craigslist versus Airbnb for GPUs.
Pricing Comparison
Both platforms undercut the hyperscalers significantly, but their pricing models differ:
| GPU | io.net (on-demand) | Vast.ai (bid) | Vast.ai (on-demand) | AWS |
|---|---|---|---|---|
| RTX 4090 | $0.18/hr | $0.15-$0.35/hr | $0.28-$0.50/hr | N/A |
| A100 40GB | $1.20/hr | $0.80-$1.50/hr | $1.20-$1.80/hr | $3.06/hr |
| A100 80GB | $1.49/hr | $1.00-$2.00/hr | $1.50-$2.50/hr | $4.10/hr |
| H100 SXM | $2.20/hr | $2.00-$3.50/hr | $2.80-$4.00/hr | $6.98/hr |
Vast.ai's bid pricing can be cheaper in off-peak hours, but those instances get terminated when someone bids higher. Their on-demand pricing is generally similar to or higher than io.net's fixed rates.
Where io.net Pulls Ahead
Reliability and uptime. io.net runs continuous health checks on every node in the network. GPUs that underperform, have unstable connections, or show signs of hardware degradation get flagged and deprioritized. Vast.ai relies more heavily on user reviews and self-reported specs — you might rent a machine that claims to be an A100 but delivers inconsistent performance due to thermal throttling or shared host resources.
Consistent pricing. io.net publishes fixed on-demand rates. You know what you'll pay before you start. Vast.ai's marketplace pricing fluctuates based on supply and demand — great when supply is high, painful during GPU crunches when prices can spike 2-3x.
Multi-GPU clusters. Need 8x A100s with NVLink for distributed training? io.net provisions these as managed clusters with pre-configured interconnects. On Vast.ai, assembling a multi-GPU cluster means finding individual machines, hoping they're in the same datacenter, and configuring networking yourself. Multi-node training on Vast.ai is possible but requires significantly more DevOps effort.
Enterprise features. io.net offers Confidential Compute, private networking, volume discounts, and enterprise SLAs. Vast.ai is fundamentally a consumer marketplace — there's no BAA for HIPAA, no SOC 2 path, and no enterprise sales team.
Network scale. io.net aggregates 200,000+ GPUs. Vast.ai's inventory is smaller and more variable, particularly for high-end GPUs like H100s where availability can be spotty.
Where Vast.ai Has Advantages
Absolute lowest price for batch work. If you're running interruptible workloads (batch processing, offline data pipelines, non-urgent training) and can tolerate machines disappearing mid-job, Vast.ai's bid pricing can dip below io.net for specific GPU types during low-demand periods.
Bare-metal SSH access. Vast.ai gives you root SSH to the host machine in most cases. This appeals to power users who want full control over the environment, including host-level NVIDIA driver versions and kernel parameters.
Community pricing transparency. Every machine on Vast.ai has a visible price history and user reviews. If you enjoy tuning your infrastructure spend like a stock portfolio, the marketplace model is engaging.
Head-to-Head Decision Matrix
| Factor | io.net | Vast.ai | Who Cares |
|---|---|---|---|
| Pricing consistency | Fixed rates | Variable/auction | Teams with budgets |
| GPU availability | 200K+ GPUs | Smaller, variable | Anyone scaling up |
| Multi-GPU training | Managed clusters | DIY assembly | ML engineers |
| Uptime/reliability | Health-checked nodes | User reviews | Production workloads |
| Cheapest possible price | Competitive | Lower (bid mode) | Batch/offline jobs |
| Enterprise compliance | SOC 2 (in progress), GDPR | None | Regulated industries |
| Bare-metal access | Container-based | Root SSH available | DevOps teams |
| Per-second billing | Yes | Hourly minimum | Short jobs |
Who Should Use Which
Choose io.net if you're:
- Running production inference that needs to stay up
- Training on multi-GPU clusters (4+ GPUs)
- Working in a team that needs predictable costs
- Building for enterprise customers who ask about compliance
- Deploying models that need consistent latency
Consider Vast.ai if you're:
- A solo researcher maximizing GPU hours per dollar
- Running long, interruptible batch jobs overnight
- Comfortable with occasional machine failures and restarts
- Experienced with Linux sysadmin and can troubleshoot infrastructure issues
- Not serving production traffic
Reliable GPU compute on io.net — Fixed pricing, health-checked nodes, enterprise-ready. Compare pricing
