Model Production
Model Factory
End-to-end pipelines for training, fine-tuning, evaluation, and versioned publishing — from dataset to a production-ready checkpoint.
Model Factory · Inference Acceleration
Ship production AI with Model Factory and inference acceleration
Train, evaluate, and publish models in Model Factory, then serve them through a low-latency inference engine — one platform from production to runtime.
superx-playground.ai
128K Context
GPT-4o / Qwen2-72B
Flagship multimodal fusion model
Analyze real-time data deployment architecture for AI foundation models in financial risk control
Inference ResponseJSON / Markdown
Run to see results here
Core Architecture
Four pillars from model production to runtime
Model Factory, inference acceleration, unified APIs, and enterprise Agents — one closed-loop AI platform
Runtime Engine
Inference Acceleration
Continuous batching, PagedAttention, quantization, and speculative decoding to cut first-token latency and raise throughput.
Model Hub
Full Model API Matrix
Unified access to GPT-4o, Claude 3.5, Qwen2, DeepSeek-V3 and more mainstream LLMs and multimodal models.
Enterprise Agent
Enterprise Agent Architecture
Domain RAG knowledge bases and custom Agent development for finance, healthcare, and smart manufacturing.
Model Production & Serving
From factory to inference runtime
Produce models in Model Factory, accelerate serving, then expose APIs and Agents on the same platform
Production Pipeline
Model Factory
A unified factory for datasets, training jobs, evaluation reports, and versioned model releases — ready for production serving.
Training, LoRA/SFT, and evaluation in one workflow
Versioned checkpoints with promotion gates
One-click publish from factory to inference runtime
Factory Pipeline● Running
Active Jobs12 Training
Eval Pass Rate98.6%
SuperX Platform Core Capabilities
Platform Core Capabilities
Powered by SuperX platform technology for high-standard, customized enterprise AI infrastructure
Feature Spotlight
Instant Delivery
Leveraging SuperX elastic scheduling — spin up compute nodes and mainstream models in seconds, dramatically reducing deployment cycles.
Provisioning speed
< 3 sec
Cluster scaling
Minutes
Inference Runtime
SuperX inference acceleration
A production serving stack that turns published models into low-latency, high-throughput APIs
Inference Engine
Model inference acceleration
Continuous batching, PagedAttention, quantization, and speculative decoding cut first-token latency and raise tokens-per-second without changing your API contract.
QuantizationFP8 / INT4 / INT8
ThroughputUp to 2.4× tokens/s
SuperX Inference Runtime
Continuous batching, paged KV cache, and tensor-parallel serving for long-context LLMs
● Speculative Decoding On
Enterprise Fine-tuning Pipeline
Inject industry terminology, custom Guardrails security fences
Training Active
Enterprise Custom
Industry Scenario Customization
Breaking general model limits with finance, manufacturing, and healthcare knowledge bases — full pipeline from data cleaning to RLHF.
Data Security100% Isolation & Encryption
Delivery Cycle1–2 Week Fine-tuning