Make Your Infrastructure Think.
Make Your Infrastructure Think.
Omniference is the intelligence layer that transforms AI infrastructure from reactive to predictive optimizing every workload, rack, and gigawatt through continuous learning
Omniference is the intelligence layer that transforms AI infrastructure from reactive to predictive optimizing every workload, rack, and gigawatt through continuous learning
Pain Points
Pain Points
AI infrastructure presents challenges in terms of cost and transparency
AI infrastructure presents challenges in terms of cost and transparency
Invisible Waste
Most datacenters don't know which GPUs are idle, underutilized, or running inefficiently. Without tensor-core level visibility, you're guessing where the problems are.
Invisible Waste
Most datacenters don't know which GPUs are idle, underutilized, or running inefficiently. Without tensor-core level visibility, you're guessing where the problems are.
Reactive Operations
Infrastructure teams respond to failures after they happen. By the time you see a bottleneck, it's already cost you money, time, and SLA violations.
Reactive Operations
Infrastructure teams respond to failures after they happen. By the time you see a bottleneck, it's already cost you money, time, and SLA violations.
Optimization Theatre
Manual tuning can't keep up with dynamic workloads. Static configurations leave 30-50% of potential performance on the table, even in well-managed datacenters
Optimization Theatre
Manual tuning can't keep up with dynamic workloads. Static configurations leave 30-50% of potential performance on the table, even in well-managed datacenters
KPIs
KPIs
KPIs
GPU Utilization
GPU Utilization
GPU Utilization
Power Efficiency
Power Efficiency
Power Efficiency
Cost Optimization
Cost Optimization
Cost Optimization
Sustainability
Sustainability
Sustainability
These represent optimization goals based on our research. Actual results vary by infrastructure.
These represent optimization goals based on our research. Actual results vary by infrastructure.
Our Approach
Our Approach
Our Approach
Omniference creates a closed-loop intelligence layer that combines real-time telemetry with adaptive optimization. Instead of reacting to problems, your infrastructure predicts and prevents them
Omniference creates a closed-loop intelligence layer that combines real-time telemetry with adaptive optimization. Instead of reacting to problems, your infrastructure predicts and prevents them
Self-Aware
Every tensor core, rack, and workload monitored continuously
Self-Aware
Every tensor core, rack, and workload monitored continuously
Self-Learning
ML-driven models improve optimization over time
Self-Learning
ML-driven models improve optimization over time
Self-Optimizing
Automatic adjustments without manual intervention
Self-Optimizing
Automatic adjustments without manual intervention
How it works
How it works
Model
Transform AI workloads into operator graphs for efficient processing.
Model
Transform AI workloads into operator graphs for efficient processing.
Simulate
Predict performance, cost, and energy impact to optimize your resource allocation and minimize environmental footprint.
Simulate
Predict performance, cost, and energy impact to optimize your resource allocation and minimize environmental footprint.
Measure
Collect live telemetry from GPUs to racks to monitor performance and optimize resource utilization.
Measure
Collect live telemetry from GPUs to racks to monitor performance and optimize resource utilization.
Correlate
Identify drift between projected and observed performance.
Correlate
Identify drift between projected and observed performance.
Optimize & Learn
Automatically recommend corrective actions and refine models for improved performance.
Optimize & Learn
Automatically recommend corrective actions and refine models for improved performance.
From Tensor Core to Gigawatt
From Tensor Core to Gigawatt
Omniference operates at two levels simultaneously
Omniference operates at two levels simultaneously
Micro-Level Optimization
(Tensor Core to GPU)
Operator-level profiling and kernel tuning
Quantization and precision management
KV-cache optimization for inference
Micro-Level Optimization
(Tensor Core to GPU)
Operator-level profiling and kernel tuning
Quantization and precision management
KV-cache optimization for inference
Micro-Level Optimization
(Tensor Core to GPU)
Operator-level profiling and kernel tuning
Quantization and precision management
KV-cache optimization for inference
Macro-Level Intelligence
(Rack to Datacenter)
Cross-rack workload scheduling
Power envelope management
Cooling zone optimization
Macro-Level Intelligence
(Rack to Datacenter)
Cross-rack workload scheduling
Power envelope management
Cooling zone optimization
Macro-Level Intelligence
(Rack to Datacenter)
Cross-rack workload scheduling
Power envelope management
Cooling zone optimization
Make Your Infrastructure Think.
Make Your Infrastructure Think.
Omniference is the intelligence layer that transforms AI infrastructure from reactive to predictive optimizing every workload, rack, and gigawatt through continuous learning
Omniference is the intelligence layer that transforms AI infrastructure from reactive to predictive optimizing every workload, rack, and gigawatt through continuous learning