Run LLMs Locally.
Enterprise Scale..
Running a local LLM used to mean compromise — limited models, complex setup, unreliable performance. The Abacus Go1 changes that. Deploy enterprise-grade large language models on your own hardware with no cloud APIs, no data leaving your network, and no usage-based billing. Eight NVIDIA GPUs, 2,000+ concurrent users, and sub-50ms latency in a single appliance. Local LLM deployment as simple as plugging in a box and turning it on. Self-hosted LLM infrastructure that matches cloud performance while keeping every token on-premise.
Local LLM Capabilities
The Go1 delivers everything you need to run local LLMs at enterprise scale: true on-device inference with no external calls, production-grade performance for thousands of users, and air-gapped operation for the most sensitive environments.
True Local Inference
All LLM processing happens on-device. No API calls to external servers, no internet connection required, no data transmitted anywhere. Your prompts, responses, and fine-tuning data never leave the physical hardware sitting in your data center.
Every token generated on local GPUs — zero external API calls or cloud roundtrips
Complete data sovereignty with no telemetry, no usage reporting, no data mirroring
Run any open-weight LLM model locally including Llama, Mistral, and custom fine-tunes
Full offline capability — local LLM inference continues even without internet connectivity
Enterprise-Grade Performance
The Go1 delivers local LLM performance that matches cloud providers. Sub-50ms latency, 2,000+ concurrent users, and 8 NVIDIA GPUs per unit — purpose-built hardware that eliminates the performance gap between local and cloud AI.
Sub-50ms inference latency for real-time local LLM applications and workflows
2,000+ concurrent users per Go1 unit with consistent response times under load
8 NVIDIA GPUs with optimized tensor parallelism for maximum throughput per watt
Horizontal scaling — add Go1 units to grow local LLM capacity without re-architecture
Air-Gapped Capable
Run local LLMs in completely disconnected environments. The Go1 operates in full air-gap mode with offline model updates, local authentication, and zero internet dependency — built for classified, regulated, and high-security networks.
Full air-gap deployment with no internet dependency for any local LLM operation
Offline model updates via secure physical media or approved transfer protocols
Local authentication and authorization — no external identity provider required
FIPS 140-2 compliant encryption for local LLM data at rest and in transit
Local LLM Infrastructure
The Go1 hardware appliance and AbacusOS model management platform deliver everything needed to run local LLMs at enterprise scale — from plug-and-play deployment to full model lifecycle governance.
Go1 Hardware Appliance
Purpose-built hardware for local LLM inference. The Go1 packs 8 NVIDIA GPUs, high-bandwidth NVLink interconnect, and enterprise storage into a single rack-mountable appliance designed for data center deployment.
Plug-and-Play Deployment
Rack the Go1, connect power and network, and run local LLMs within 15 minutes. No complex cluster configuration, no distributed systems expertise required. AbacusOS handles model loading, GPU allocation, and serving automatically.
Multi-Model Support
Run multiple local LLM models simultaneously on a single Go1 unit. Deploy Llama for general tasks, a fine-tuned model for compliance, and a specialized model for code generation — all sharing GPU resources intelligently.
Scalable Architecture
Start with one Go1 for 2,000 users. Add units as demand grows with automatic load balancing and model replication across the cluster. Scale local LLM capacity linearly without re-architecting your deployment.
AbacusOS Model Management
Full model lifecycle management for local LLMs. AbacusOS handles model versioning, performance monitoring, resource allocation, and secure update pipelines — the operating system that makes local LLM deployment enterprise-ready.
Model Version Control
Track every local LLM model version with full provenance — who deployed it, when, with what configuration, and what performance metrics it achieved. Roll back to any previous version instantly if a new model underperforms.
Performance Monitoring
Real-time dashboards tracking local LLM latency, throughput, GPU utilization, accuracy metrics, and error rates. Automated alerting when performance degrades below configurable thresholds for any model or endpoint.
Secure Update Pipeline
Update local LLM models through a verified pipeline with cryptographic signing, integrity validation, and staged rollout. Supports both online updates and air-gapped transfer for disconnected environments.
Local LLMs without the complexity.
Deploy enterprise-grade local LLMs in 15 minutes. The Go1 delivers 2,000+ concurrent users, sub-50ms latency, and full air-gap capability — no cloud dependencies, no per-token billing, no data leaving your infrastructure.
Local LLM vs. Cloud LLM APIs
See why organizations running local LLMs on the Go1 outperform cloud AI in privacy, performance, cost, and compliance — without sacrificing model quality.
| # | Feature | Cloud LLM APIs | Local LLM on Go1 |
|---|---|---|---|
| ROW-01 | Data Privacy | Prompts and responses sent to cloud servers | 100% local — every token stays on your hardware |
| ROW-02 | Latency | 100-500ms round-trip to cloud API endpoints | Sub-50ms local inference with no network hops |
| ROW-03 | Cost Model | Per-token billing that scales with usage unpredictably | Fixed hardware cost — unlimited local LLM usage |
| ROW-04 | Internet Dependency | Requires constant internet for every API call | Zero internet needed — full air-gap capable |
| ROW-05 | Customization | Limited to vendor-offered models and parameters | Run any open-weight model with custom fine-tunes |
| ROW-06 | Compliance | Complex vendor assessments and data processing agreements | No third-party data exposure — simplifies every audit |
Local LLM Infrastructure
Enterprise AI. Locally deployed.
2,000+ users. Sub-50ms latency. Zero cloud dependency. Run large language models locally on purpose-built hardware that delivers cloud-grade performance without sending a single token off-premise.
Local LLM Impact
Organizations deploying local LLMs on the Go1 see immediate improvements in data privacy, cost predictability, and inference performance — without the compliance overhead of cloud AI.
Data Privacy
100% local inference means zero data egress. Every prompt, every response, every fine-tuning dataset stays on hardware you physically control. No third-party data processing agreements required.
100%
Local processing
0
Data egress
Cost Predictability
Replace unpredictable per-token cloud billing with a fixed hardware investment. Run unlimited local LLM queries at a predictable cost per seat — no surprise invoices as usage scales.
Fixed
Cost per seat
$0
Per-token fees
Performance
Sub-50ms latency for local LLM inference with 2,000+ concurrent users per Go1 unit. No network round-trips, no API rate limits, no cold starts — consistent performance at scale.
< 50ms
Inference latency
2,000+
Concurrent users
2,000+
Users Per Unit
Concurrent local LLM users
< 50ms
Latency
Local inference response time
0
Cloud Dependencies
Fully air-gap capable
15min
Setup
Rack to running local LLMs
Deploy AI That Passes Every Audit
900K monthly users went live in under 24 hours. SOC 2 Type II, ISO 27001, and HIPAA certified from day one.
AI infrastructure for regulated industries. On-premise deployment, zero data egress, examiner-ready compliance. Trusted by 900K monthly users processing 8M queries daily.
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