Compressing the world's
Qwodel is an artifact-first quantization platform that transforms trained models into smaller, faster, auditable deployments — on any infrastructure.
Platform Philosophy
Optimized for portability,
architected for trust.
Qwodel moves the complexity of quantization out of your runtime and into your build pipeline. Deploy optimized artifacts anywhere without vendor or infrastructure lock-in.
Artifact-First Outputs
Qwodel produces fully portable, optimized model artifacts — not runtimes, endpoints, or black-box services. Every output can be stored, versioned, audited, and deployed anywhere.
Deterministic Quantization
Same model, same configuration, same result — guaranteed. Qwodel pins algorithms, seeds, and toolchains to ensure bit-level reproducibility across runs.
Quantization Job Orchestration
Quantization is executed as a versioned, multi-stage pipeline with safe checkpoints at graph-stable boundaries — enabling reliable retries, failure recovery, and traceability.
Full Transparency Metadata
Qwodel exposes tensor-level, layer-level, and precision-level metadata before and after quantization — enabling audits, regression analysis, and CI gating.
Audit-Ready & Compliant
Every quantization run produces immutable artifacts, signed metadata, and transformation logs — designed for regulated and security-sensitive environments.
SDK & Pipeline Integration
Run Qwodel via APIs or SDKs inside your own infrastructure — cloud, on-prem, or air-gapped — and integrate quantization directly into build and release pipelines.
Infrastructure
Compute-optimized for
mission critical AI.
Private VPC
Deploy optimized binaries to isolated cloud environments.
Hot Loading
Near-zero latency weight distribution across your cluster.
Edge SDK
Standardized C++ and Swift binaries for on-device inference.
IP Protection
Your weights never leave your secure environment.
"Qwodel enabled us to run Llama-3-70B on internal workstations, reducing our inference spend by over $12,000 per month while preserving full reasoning quality."