PRODUCT AND BENCHMARKS
The detail behind the claims
Measured results, how the control plane works, and what it would cost on your own spend.
BENCHMARKS · MEASURED
Cheaper per token with similar performance
Runara on trailing-edge GPUs vs published InferenceX baselines on current-generation hardware
Gpt-oss-120b · trailing-edge GPU vs current-gen baseline
7.5× cheaper
And 1.1–1.75× faster (lower latency) per user at every concurrency level.
Qwen3.8 176B Flash · trailing-edge GPU vs latest-gen baseline
7× cheaper
Matching latency at batch 1 and about half as good at batch 8.
Baseline figures published by InferenceX (SemiAnalysis). Runara figures measured on trailing-edge GPUs at commercially available rates. gpt-oss-120b FP4, 8,192 in / 1,024 out.
Full hardware and rate detail available on request.
ABOUT US
Redefining the landscape for AI inference token economics
Runara is an infrastructure software company based in San Jose, California. We intelligently optimize LLMs, orchestrate, and route AI inference workloads across any hardware, reducing token processing costs.
Our control plane analyzes each model and inference request, then optimizes, compiles, schedules, allocates memory, deploys and executes. It matches each workload to the right hardware, down to the individual units of compute and memory — so you can run frontier and open-source models on the fleet you already own, including hardware sitting under-used today.
Evaluation software is available today and our analyzer is live on AWS.
OUR TEAM
Meet The Leaders Behind Runara
Adam Tachner
Co-Founder & CEO
Key leader at Groq: first-to-market in inference.
25+ years scaling companies.
Alon Konchitsky, PhD
Co-Founder & CTO
Headed AI Center of Excellence. Sold to SK Hynix.
AI infrastructure expertise.
Runs on any silicon,
deployed in one click.
Your model, your cloud, your data. Run the analyzer against your own workloads and see what your current fleet is leaving on the table.
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