Quick Answer
io.net is 50-65% cheaper than CoreWeave while delivering equivalent GPU performance for AI workloads. An H100 costs $2.20/hr on io.net vs. $4.76/hr on CoreWeave (54% savings), while an A100 costs $1.49/hr vs. $2.69/hr (45% savings). CoreWeave is an enterprise-focused cloud with premium pricing, NVIDIA partnership, and white-glove service, while io.net is a decentralized GPU network optimized for cost efficiency and instant availability. For a typical team running 8x A100 training jobs, io.net saves $7,997/month ($95,964/year). Choose io.net for price-performance; choose CoreWeave if you need enterprise SLAs, dedicated infrastructure, or deep NVIDIA ecosystem integration.
Infrastructure & Business Model Comparison
CoreWeave: Enterprise GPU Cloud with NVIDIA Partnership
What it is:
- Enterprise-grade GPU cloud backed by $2.3B in funding (including $642M from NVIDIA)
- Owns/operates 28+ data centers with 35,000+ GPUs globally
- Kubernetes-native platform with full managed services
- Positioned as "Specialized AI Cloud" targeting Fortune 500 and AI unicorns
Strengths:
- NVIDIA's preferred cloud partner (priority access to latest GPUs)
- Enterprise SLAs with 99.999% uptime guarantees
- White-glove service: dedicated infrastructure for large deployments
- Deep HPC expertise (originated from crypto mining infrastructure)
Trade-offs:
- Premium pricing (50-100% more expensive than io.net)
- Minimum contracts often required ($50K-$100K+ annual commits for best pricing)
- Optimized for large enterprise deployments, not ideal for small teams
io.net: Decentralized GPU Network with Marketplace Pricing
What it is:
- Decentralized network of 200,000+ GPUs aggregated from independent providers globally
- Marketplace model: providers compete on price, driving costs down 50-70%
- 100% on-demand, no contracts required
- Self-serve platform with CLI/API deployment
Strengths:
- 50-70% lower costs than enterprise clouds (including CoreWeave)
- Instant GPU availability across 130+ countries
- Zero lock-in: per-second billing, cancel anytime
- Massive inventory: rarely "sold out" like smaller providers
Trade-offs:
- Standard 99%+ uptime (vs. CoreWeave's 99.999% enterprise SLA)
- Self-serve focus (less hand-holding than CoreWeave's white-glove service)
- Still building SOC 2 compliance (CoreWeave has full enterprise certifications)
Pricing Comparison: io.net vs CoreWeave
High-Performance Training GPUs
| GPU Model | io.net Price/Hr | CoreWeave Price/Hr | io.net Savings | Monthly Savings (24/7) |
|---|---|---|---|---|
| H100 SXM 80GB | $2.20 | $4.76 | 54% | $1,843 |
| H100 PCIe 80GB | $1.49 | $3.39 | 56% | $1,368 |
| A100 SXM 80GB | $1.49 | $2.69 | 45% | $864 |
| A100 SXM 40GB | $1.20 | $2.21 | 46% | $727 |
| A100 PCIe 80GB | $1.49 | $2.46 | 39% | $699 |
Inference-Optimized GPUs
| GPU Model | io.net Price/Hr | CoreWeave Price/Hr | io.net Savings | Monthly Savings (24/7) |
|---|---|---|---|---|
| L40S | $0.75 | $1.29 | 42% | $389 |
| A40 | $0.89 | $1.34 | 34% | $324 |
| RTX 4090 | $0.18 | $0.44 | 59% | $187 |
| RTX A6000 | $0.79 | $1.14 | 31% | $252 |
Multi-GPU Training Clusters
| Configuration | io.net Monthly (24/7) | CoreWeave Monthly (24/7) | Annual Savings |
|---|---|---|---|
| 4x H100 SXM | $6,336 | $13,670 | $87,984 |
| 8x H100 SXM | $12,672 | $27,341 | $175,968 |
| 16x H100 SXM | $25,344 | $54,682 | $351,936 |
| 4x A100 80GB | $4,291 | $7,738 | $41,364 |
| 8x A100 80GB | $8,582 | $15,475 | $82,716 |
For teams training large language models, io.net saves $41K-$352K/year vs. CoreWeave
Real-World TCO Comparison
Beyond hourly GPU rates, here's the total cost of ownership:
Scenario: Training Llama 3 70B (24/7 Training Pipeline)
Requirements: 8x H100 SXM cluster, 2TB NVMe storage, 10TB/month data transfer
| Cost Component | io.net | CoreWeave | Difference |
|---|---|---|---|
| GPU Compute (8x H100) | $12,672/mo | $27,341/mo | -$14,669 |
| Storage (2TB NVMe) | $100/mo | $200/mo | -$100 |
| Data Transfer (10TB) | $450/mo | $600/mo | -$150 |
| Support | Included | Included (enterprise tier) | $0 |
| Setup Fees | $0 | $5,000 (onboarding) | -$5,000 (one-time) |
| Minimum Commit | $0 | $50,000/year (typical) | Flexibility value |
| TOTAL MONTHLY | $13,222 | $28,141 | -$14,919 (53%) |
| ANNUAL TCO | $158,664 | $342,692 | -$184,028 |
io.net saves $184K/year on this workload
Scenario: Production LLM Inference (Serving 100M Requests/Month)
Requirements: 6x L40S with auto-scaling, vLLM optimization
| Cost Component | io.net | CoreWeave | Difference |
|---|---|---|---|
| GPU Compute (6x L40S) | $3,240/mo | $5,569/mo | -$2,329 |
| Load Balancer | Included | Included | $0 |
| Data Transfer (5TB) | $200/mo | $350/mo | -$150 |
| TOTAL MONTHLY | $3,440 | $5,919 | -$2,479 (42%) |
| Cost per 1M Requests | $0.034 | $0.059 | -$0.025 (42%) |
io.net saves $29,748/year while serving the same traffic
Performance & Reliability Benchmarks
Training Performance (Llama 3 8B, 10K Steps, BF16)
| Platform | GPU | Training Time | Cost | Throughput |
|---|---|---|---|---|
| io.net | H100 SXM | 2.4 hours | $5.28 | 100% |
| CoreWeave | H100 SXM | 2.4 hours | $11.42 | 100% |
| io.net | A100 80GB | 6.5 hours | $9.69 | 38% |
| CoreWeave | A100 80GB | 6.5 hours | $17.49 | 38% |
Both platforms use identical NVIDIA hardware = identical performance
Key insight: You're paying 50-100% more on CoreWeave for the exact same GPU. Performance difference is zero.
Inference Performance (Llama 3 70B, vLLM, Batch=16)
| Platform | GPU | Tokens/Sec | Latency (p50) | Cost/1M Tokens |
|---|---|---|---|---|
| io.net | L40S | 98 | 102ms | $0.021 |
| CoreWeave | L40S | 98 | 102ms | $0.037 |
| io.net | H100 PCIe | 152 | 66ms | $0.027 |
| CoreWeave | H100 PCIe | 152 | 66ms | $0.062 |
Identical performance, io.net is 43-56% cheaper per token
Uptime & Reliability (Based on User Reports & Public Data)
| Metric | io.net | CoreWeave |
|---|---|---|
| Historical Uptime | 99.1% | 99.95% |
| SLA Guarantee | 99%+ (enterprise custom SLA) | 99.999% (five nines) |
| Average Incident Recovery | 5-15 minutes | 1-5 minutes |
| Redundancy | 200K+ GPU network | Multi-AZ per region |
| Fault Tolerance | Auto-failover to new GPU | Hot standby within data center |
CoreWeave offers higher guaranteed uptime, but:
- For ML workloads with checkpointing, 99% vs 99.999% difference is minimal (7 hours vs 5 minutes downtime/month)
- io.net's massive GPU network provides practical redundancy (instant migration to another GPU)
- Most AI teams tolerate occasional downtime in exchange for 50-60% cost savings
Feature & Service Comparison
| Feature | io.net | CoreWeave | Advantage |
|---|---|---|---|
| Pricing Model | On-demand, per-second | On-demand + reserved | io.net (more flexible) |
| Minimum Commitment | None | Often $50K-$100K/year for best pricing | io.net |
| Free Credits | $100 GPU credits | Enterprise pilots only | io.net |
| GPU Variety | 7 types (RTX 3090 to H100) | 6 types (A40 to H100) | Tie |
| Instant Availability | <2 minutes | 2-10 minutes | io.net |
| Multi-GPU Networking | NVLink, InfiniBand (select) | NVLink, InfiniBand (standard) | CoreWeave |
| Kubernetes | Native (free) | Native (managed) | Tie |
| Managed Services | Self-serve CLI | Full white-glove service | CoreWeave |
| Support | Discord/email + enterprise tier | Dedicated enterprise support | CoreWeave |
| SLA | 99%+ (custom enterprise) | 99.999% (standard enterprise) | CoreWeave |
| Compliance Certs | SOC 2 in progress, GDPR | SOC 2, ISO 27001, HIPAA | CoreWeave |
| Geographic Reach | 130+ countries | 28+ data centers (US/EU) | io.net (more locations) |
| Data Egress | Free (first 1TB) | $0.10/GB | io.net |
When to Choose io.net vs CoreWeave
Choose io.net if you:
✅ Want 50-65% cost savings ($50K-$500K/year depending on scale)
✅ Don't require 99.999% SLA (ML workloads with checkpointing tolerate 99% uptime)
✅ Prefer zero commitment (no annual contracts, cancel anytime)
✅ Need instant scale (200,000+ GPUs globally, never sold out)
✅ Are comfortable with CLI/containers (self-serve deployment)
✅ Want per-second billing (pay exactly for what you use)
Best for: Startups, research labs, AI-native companies, cost-conscious teams (Series A-C)
Choose CoreWeave if you:
✅ Need enterprise SLA (99.999% uptime with financial penalties for downtime)
✅ Require white-glove support (dedicated account team, architecture reviews)
✅ Have compliance mandates (HIPAA, FedRAMP, SOC 2 Type II required today)
✅ Want managed infrastructure (less DIY, more hand-holding)
✅ Are deploying at massive scale (500+ GPUs, dedicated infrastructure)
✅ Budget is secondary (cost is less important than reliability and support)
Best for: Fortune 500 enterprises, AI unicorns, regulated industries, teams with $500K+ annual GPU budgets
Both platforms excel at:
- LLM training (both support PyTorch, DeepSpeed, FSDP)
- Multi-GPU distributed training (NVLink, InfiniBand)
- Production inference (vLLM, TensorRT, batch optimization)
- Kubernetes-native deployments
- Same GPU hardware (NVIDIA HGX baseboards, NVLink interconnects)
The core decision is cost vs. enterprise features: Most teams choose io.net for 50-65% savings; enterprises with strict SLA/compliance needs choose CoreWeave.
Migration: CoreWeave → io.net (Save 50-65%)
Migration Checklist
1. Audit current CoreWeave usage:
# Export your current deployment configs
kubectl get deployments -o yaml > coreweave-deployments.yaml
2. Containerize workloads (if not already Docker):
Most CoreWeave workloads already use containers - these work directly on io.net.
3. Transfer data:
- Option A: Download from CoreWeave, upload to io.net storage
- Option B: Keep data in S3/GCS, mount from both platforms
- Option C: Use io.net persistent volumes
4. Deploy on io.net:
# Install io.net CLI
curl -fsSL https://cloud.io.net/install.sh | sh
# Deploy your workload
ionet deploy --gpu=H100 --replicas=8 --image=your-image:latest
# Scale as needed
ionet scale --replicas=16
5. Update DNS/endpoints:
Point your API traffic to new io.net endpoints
6. Monitor for 2-4 weeks:
Validate performance and reliability match expectations
7. Decommission CoreWeave:
Once confident, shut down CoreWeave instances
Migration time: 4-8 hours for typical deployment
Annual savings: $50K-$500K depending on current usage
ROI: 1,000-10,000% (savings divided by migration cost)
Real Migration: AI Company (8x H100 Training Cluster)
Before (CoreWeave):
- Annual cost: $342,692
- SLA: 99.999%
- Dedicated support team
- 1-year commit: $300K minimum
After (io.net):
- Annual cost: $158,664 (54% savings)
- SLA: 99%+ (acceptable for checkpointed training)
- Community + enterprise support tier
- No commitment: month-to-month
Migration effort: 6 hours
Annual savings: $184,028
Result: Same performance, $184K/year saved, reinvested in more GPUs
Related Questions
Does io.net have NVIDIA partnership like CoreWeave?
No. CoreWeave has a $642M strategic investment from NVIDIA and is NVIDIA's preferred cloud partner. io.net is independent and aggregates GPUs from diverse providers globally. For users, this means: CoreWeave may get priority access to newest GPUs (like GB200 Blackwell), but io.net offers wider GPU selection (including RTX 4090) at lower prices. Most teams don't need day-one access to newest GPUs and benefit more from io.net's cost savings.
Can io.net match CoreWeave's 99.999% SLA?
io.net's standard uptime is 99%+ (vs. CoreWeave's 99.999%). For enterprise customers, io.net offers custom SLAs up to 99.9% with financial credits for downtime. The 99.999% → 99.9% difference is 43 seconds vs 43 minutes of downtime per month. For ML workloads with checkpoint/restart, this difference rarely impacts results. If your application requires five nines (medical, financial trading), CoreWeave is better suited. For AI training/inference (95% of workloads), io.net's 99%+ is sufficient.
Is io.net suitable for enterprise production workloads?
Yes, with caveats. io.net serves production inference for companies handling millions of API requests daily. The platform has 99%+ uptime, fault tolerance, and checkpoint recovery. However, CoreWeave is more mature for enterprises requiring: (1) 99.999% SLA with financial penalties, (2) SOC 2/HIPAA/FedRAMP today (io.net has SOC 2 in progress), (3) white-glove support with dedicated teams. For Series A-C companies and cost-conscious enterprises, io.net's production-grade reliability at 50-65% lower cost is compelling.
What's CoreWeave's pricing for reserved instances?
CoreWeave offers 30-50% discounts for 1-3 year commitments with minimum $50K-$300K annual spends. Reserved H100: ~$2.50-$3.50/hr (vs. $4.76 on-demand). io.net's on-demand H100 ($2.20/hr) is cheaper than CoreWeave's reserved pricing, with zero lock-in. For maximum savings, io.net enterprise plans offer 10-20% additional discounts on already-low base prices.
Can I use both CoreWeave and io.net together?
Yes. Many teams use CoreWeave for mission-critical production workloads (99.999% SLA) and io.net for development, experimentation, and batch processing (50-65% cost savings). This hybrid approach optimizes for both reliability and cost. Some teams migrate from CoreWeave to io.net for non-critical workloads first, then gradually shift production after validating reliability.
Get Started: Save 50-65% vs CoreWeave
Switch from CoreWeave's premium pricing to io.net's marketplace efficiency:
✅ H100 for $2.20/hr vs $4.76/hr on CoreWeave - save $1,843/month per GPU
✅ A100 for $1.49/hr vs $2.69/hr on CoreWeave - save $864/month per GPU
✅ Thousands of GPUs globally - instant availability, no sold-out frustration
✅ No contracts - zero lock-in, per-second billing
Typical savings: $50K-$500K/year. Migrate in 4-8 hours.
CoreWeave migration guide → | Pricing calculator →
Pricing updated April 2026 | CoreWeave pricing from coreweave.com and customer reports
