MayaScale delivers validated sub-millisecond performance across 4 performance tiers on AWS, from 204K to 1.35M IOPS. See how i4i and i3en instances enable ultra-low latency shared storage with Active-Active HA.
Four Validated Performance Tiers on AWS
We've completed comprehensive performance validation of MayaScale across AWS's storage-optimized instance families. The results demonstrate consistent sub-millisecond latency and validated IOPS performance across four distinct tiers, giving you flexibility to choose the right price/performance balance for your workload.
All testing was conducted using SNIA-compliant FIO benchmarks between October and November 2025, with results validated across multiple deployment configurations. Each tier has been tested for both zonal and cross-AZ (regional) deployments with Active-Active high availability.
All Tiers Validated
From the ultra-low latency Basic tier (134μs, $416/mo) to the high-capacity Ultra tier (1.35M IOPS, $5,256/mo), every performance claim is backed by validated test results from actual AWS deployments.
Performance Tier Overview
| Tier | Instance | Write IOPS | Read IOPS | Latency | Write BW | Read BW | Cost/mo |
|---|---|---|---|---|---|---|---|
| Basic | i4i.xlarge | 57,000 | 204,000 | ~200 µs | 223 MB/s | 797 MB/s | $416 |
| Standard | i3en.2xlarge | 135,000 | 346,000 | ~200 µs | 527 MB/s | 1.35 GB/s | $876 |
| High | i3en.6xlarge | 368,000 | 992,000 | ~250 µs | 1.44 GB/s | 3.87 GB/s | $2,628 |
| Ultra | i3en.12xlarge | 528,000 | 1,350,000 | ~250 µs | 2.06 GB/s | 5.27 GB/s | $5,256 |
Note: All metrics are for zonal deployments. Cross-AZ deployments have ~10% write IOPS reduction due to network latency.
Basic Tier: Ultra-Low Latency Leader
Configuration
- Instance: i4i.xlarge (4 vCPU, 32 GB RAM)
- Storage: 1× AWS Nitro NVMe SSD (1.875 TB)
- Network: Up to 10 Gbps Enhanced Networking
- Architecture: AWS Nitro System v5
Why AWS Nitro Makes a Difference
The i4i Basic tier achieves the lowest latency of any MayaScale tier across all clouds thanks to AWS's Nitro System v5. Hardware-accelerated I/O processing eliminates traditional hypervisor overhead, delivering 20-30μs lower latency than conventional virtualization.
Best For
- Development and testing environments
- Applications requiring absolute minimum latency
- Small-scale production workloads (< 200K IOPS)
- CI/CD pipelines and build systems
- Ultra-low latency proof-of-concept deployments
Standard Tier: Best Price/Performance
Configuration
- Instance: i3en.2xlarge (8 vCPU, 64 GB RAM)
- Storage: 2× NVMe SSDs (2.5 TB each, 5 TB total)
- Network: Up to 25 Gbps
- Capacity: 5 TB usable with RAID-1
Price/Performance Analysis
Standard tier offers the best price/performance ratio across all MayaScale tiers on AWS. At $6.49 per 1K write IOPS, it's 53% better value than Ultra tier ($9.95/1K IOPS) while maintaining the same sub-millisecond latency characteristics.
Best For
- Production databases (PostgreSQL, MySQL, MongoDB)
- Web application file storage
- General-purpose shared storage
- VMware datastores (moderate VM count)
- Container persistent volumes (Kubernetes/EKS)
High Tier: Performance Sweet Spot
Configuration
- Instance: i3en.6xlarge (24 vCPU, 192 GB RAM)
- Storage: 2× NVMe SSDs (7.5 TB each, 15 TB total)
- Network: 25 Gbps
- Optimal QD: QD16×12 (192 outstanding I/Os)
The Performance Sweet Spot
High tier represents the optimal balance between performance and cost for most enterprise workloads. It delivers nearly 1M read IOPS while maintaining sub-millisecond latency, all at a lower cost per IOPS than Ultra tier.
Best For
- High-performance databases requiring sub-1M IOPS
- Analytics workloads (Spark, Presto, Trino)
- ML training pipelines
- Video editing and rendering
- Large-scale VMware environments
Ultra Tier: Maximum Capacity & Read Performance
Configuration
- Instance: i3en.12xlarge (48 vCPU, 384 GB RAM)
- Storage: 4× NVMe SSDs (7.5 TB each, 30 TB total)
- Network: 50 Gbps
- Optimal QD: QD16×20 write, QD48×48 read
Understanding the Ultra Tier Bottleneck
Comprehensive testing revealed that Ultra tier write performance is limited by AWS i3en NVMe device characteristics, not network or CPU. The 4× local NVMe drives deliver 635K IOPS raw (79% of AWS's 800K spec), which translates to 528K IOPS after RAID-1 overhead—an excellent 83% overall efficiency for HA storage.
Read performance, however, scales beautifully to 1.35M IOPS, making Ultra tier ideal for read-heavy workloads.
Best For
- Read-heavy workloads requiring >1M IOPS
- Content delivery and caching systems
- Large-capacity requirements (>15 TB)
- Data warehousing with read-optimized queries
- Combined high-performance + high-capacity needs
Note: Ultra tier has diminishing returns for write-heavy workloads. Consider High tier for better write IOPS cost efficiency.
Technical Architecture
Active-Active High Availability
All MayaScale tiers on AWS use Active-Active architecture with server-side RAID-1 replication. Both storage nodes serve I/O concurrently, delivering:
- 2× read performance: Both nodes serve read requests simultaneously
- Sub-second failover: Automatic failover in under 1 second
- Zero data loss: Synchronous replication ensures consistency
- Cross-AZ deployment: Nodes in different availability zones for resilience
NVMe-over-Fabrics Protocol
MayaScale uses NVMe-over-TCP (NVMe-oF) to pool local NVMe storage across instances. This cloud-native protocol delivers:
- Sub-millisecond latency: Direct NVMe access over standard Ethernet
- Zero kernel patches: Standard Linux NVMe-oF drivers
- Works with ENA: Leverages AWS Enhanced Networking
- iSCSI compatibility: Also supports legacy iSCSI initiators
Testing Methodology
All performance metrics were validated using:
- Tool: FIO with libaio engine
- Block size: 4KB for random I/O, 128KB for sequential
- Runtime: 30 seconds per test (SNIA-compliant)
- Queue depths: QD1, QD2, QD4, QD8, QD16, QD32, QD48, QD64
- Concurrency: Multiple numjobs (threads) tested
- Protocol: Direct I/O (bypassing page cache)
Cost and Value Analysis
| Tier | Cost/mo | Write IOPS | $/1K Write IOPS | Read IOPS | $/1K Read IOPS | Value Score |
|---|---|---|---|---|---|---|
| Basic | $416 | 57K | $7.30 | 204K | $2.04 | Good |
| Standard | $876 | 135K | $6.49 | 346K | $2.53 | ✅ Best |
| High | $2,628 | 368K | $7.14 | 992K | $2.65 | Good |
| Ultra | $5,256 | 528K | $9.95 | 1.35M | $3.89 | ⚠️ Expensive |
Tier Selection Recommendations
- Choose Basic if you need absolute minimum latency (134μs) and moderate IOPS
- Choose Standard for the best price/performance ratio (most workloads)
- Choose High for performance-critical applications requiring sub-1M IOPS
- Choose Ultra only for read-heavy workloads needing >1M IOPS or >15TB capacity
Getting Started
MayaScale is available for AWS deployment via Terraform modules and will soon be available on AWS Marketplace. Choose your deployment method:
Terraform Deployment
Infrastructure-as-Code deployment with full control over configuration:
module "mayascale" {
source = "github.com/zettalane/mayascale-terraform//aws"
performance_tier = "aws-zonal-standard" # Basic, Standard, High, or Ultra
region = "us-east-1"
availability_zones = ["us-east-1a", "us-east-1b"]
}
AWS Marketplace (Coming Soon)
One-click CloudFormation deployment with:
- Automatic billing through AWS account
- Pre-configured Active-Active HA setup
- Integrated with AWS Console
- Production-ready in under 15 minutes
Conclusion
MayaScale's validated performance across all four AWS tiers demonstrates the maturity and consistency of NVMe-over-Fabrics technology on public cloud. From the ultra-low latency Basic tier (134μs, $416/mo) to the high-capacity Ultra tier (1.35M IOPS, 30TB, $5,256/mo), every tier delivers sub-millisecond shared storage with Active-Active high availability.
Whether you're migrating databases from RDS, building latency-sensitive applications, or deploying VMware workloads on AWS, MayaScale provides validated, production-ready performance with transparent pricing and deployment automation.
Ready to Deploy MayaScale on AWS?
Choose from 4 validated performance tiers. Deploy in minutes with Terraform or AWS Marketplace.
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