Muse Spark 1.2 Open-Source Model Impact & Inference Estimator

VRAM Footprint 78.4 GB Capacity: 160.0 GB (2x H100)

Hardware Fit OPTIMAL FIT 49.0% VRAM Usage

Inference Throughput 142 tok/s Latency: 7.04 ms/tok

Unit Token Cost $0.42 / M Proprietary API: $2.50 / M

Monthly TCO Delta +$104 / mo 83.2% Monthly Cost Savings

Cluster Configuration

Model Variant

Precision / Quantization

GPU Compute Hardware

Cluster GPU Count 2 GPUs

Concurrent Batch Size 16

Monthly Token Volume 50M tokens

VRAM Memory Allocation

Monthly TCO vs Proprietary API

Polymarket Market Shift & Open-Source Adoption Probability

Predicted Open-Source Benchmark Parity 78%

Market probability that Muse Spark 1.2 outperforms closed SOTA models on MMLU-Pro / HumanEval.

Enterprise Self-Hosting Shift Rate 64%

Estimated percentage of production AI traffic migrating to self-hosted open weights within 6 months.

Generated Deployment Brief READY (Self-Contained Engine)

Generating deployment specification...