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Product

ISIRO Runtime™

AI inference efficiency layer, powered by proprietary TIC™ (Tensor Inference Core) technology. Reduces memory traffic during inference for associated cost and energy savings while preserving model accuracy.

Performance

Lower memory traffic. Model accuracy preserved.

Representative results from scoped evaluations.

30%

Lower memory traffic on BF16 LLM workloads

Exact

Weights preserved bit for bit (no quantization)

Up to 2×

Lower latency vs cuBLAS baseline (evaluated workloads)

Overview

AI inference efficiency layer for your inference stack

ISIRO Runtime sits between models and the existing inference stack. Compile your model once into a compact, execution-native .tic representation, then deploy through ISIRO Runtime, which integrates the inference frameworks you already use as targets.

Integrated security and control through TIC Shield™ for protected deployments.

A dashboard and an OpenAI-compatible API with ISIRO observability built in provide visibility into performance, resource utilization, and TIC Shield status.

Technical Overview

Original model.onnx · .safetensors · .pt · etcISIRO Runtime compilerone-time.tic fileISIRO RuntimeInference frameworksvLLM · TensorRT · ROCm · OpenVINO · etcHardware platformsNVIDIA · AMD · Intel · etcISIRO Runtime efficiency layerOriginal inference stack

Supported today

NVIDIA GPUs · vLLM

ISIRO Runtime supports BF16 vLLM workloads on NVIDIA GPUs in on-prem and cloud deployments today. Support for additional inference frameworks and hardware platforms is on the roadmap.

Security

TIC Shield™

Protects .tic files at rest and in transit with support for confidential computing where available.

Ready to evaluate ISIRO Runtime?

Evaluate in your environment without sharing your model. Compare model accuracy, memory traffic, and cost against your baseline.

Request Access

Prefer email? hello@isiro.ai