/ ml Sovereign VPC Economics

When you self-host legacy memory tools inside your own Private VPC, you get stuck paying for third-party LLM extraction bills, multi-database RAM clusters, and DevOps maintenance. / ml sovereign delivers predictable, flat-rate memory in a single self-contained appliance.

Deploying in your own VPC? Eliminate the hidden infrastructure bills behind legacy memory.

Legacy self-hosted memory stacks force you to provision and pay for multiple database clusters and external LLM API keys inside your VPC. / ml sovereign simplifies your entire memory layer into one self-contained deployment:

$0 external LLM API fees

Predictable flat-rate ingestion

Self-hosted Mem0 and Zep stacks trigger expensive third-party LLM calls on every write (~$30,000 per 1M saves). / ml runs completely self-contained in your VPC with zero external API bills.

-90% infrastructure TCO

High-density multi-tenant footprint

Serve thousands of isolated enterprise workspaces across millions of tokens on a fraction of the compute and memory required by traditional vector and graph database clusters.

1 self-contained appliance

Zero external database clusters to manage

Replace a sprawling 4-service stack (application server, LLM endpoint, Qdrant cluster, Neo4j cluster) with a single VPC appliance and zero outbound network calls.

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Self-Hosted VPC Benefits: / ml Sovereign vs. Legacy Stacks

Direct comparison of operational complexity, latency, and total cost of ownership inside your private cloud or air-gapped environment.

VPC Dimension / ml sovereign 1 Appliance Self-Hosted Mem0 + Graph Self-Hosted Zep / Graphiti
External LLM API Bill per Write $0 (100% self-contained) ~$30,000 per 1M writes ~$20,000+ per 1M writes
Server & Memory Infrastructure TCO Up to 90% lower footprint Heavy vector + Neo4j RAM clusters Heavy vector + graph DB clusters
Services to Deploy & Maintain 1 self-contained appliance 4 services (App + LLM + Vector + Graph) 4 services (Worker + LLM + Vector + Graph)
Write Availability (Until Searchable) Immediate (< 10 ms) 15–30s background queue lag 5–20s background queue lag
Recall Latency (P50) 0.86 ms 3,550 ms 1,290 ms
Downstream LLM Prompt Token Bill 80% lower (high-precision context) 5× higher token footprint High episode token footprint
Air-Gapped / Zero Outbound Network ✓ Native (zero external calls) Requires separate LLM endpoint Requires separate LLM endpoint
GDPR Tenant Deletion Instant tenant purge Graph re-indexing required Graph edge rebuild required

Deploy / ml in your VPC

Get a dedicated single-container appliance for AWS, GCP, Azure, or air-gapped on-prem environments—or start prototyping immediately on our free managed cloud.

Enterprise VPC & On-Prem

Schedule a 20-minute architecture & sizing review

Direct Engineering Contact: enterprise@slashml.ai
Prototype Now on Cloud ($0)

Test the exact same engine free before VPC deployment

Read https://slashml.ai/llms.txt and set up / ml as our memory system using SLASHML_API_KEY.