Model Aggregation
- Latest Model
- Multimodal Model
- Model Market
Token Factory · Inference Acceleration
Ship production AI with Token Factory and inference acceleration
Train, evaluate, and publish models in Token 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
Token Factory
Token FactoryModels, routing, and GPUs on one stack
Token Factory stacks model aggregation, smart routing, inference acceleration, and GPUaaS. Access, deploy, schedule, and serve — on self-built clusters, NCP nodes, and elastic cloud.
Smart Routing
- Performance
- Latency
- Cost
- Availability
Inference Acceleration
- PD Disaggregation
- KV Cache
- Continuous Batching
Inference Management
- Quota Management
- Metering and Billing
- Multimodal Inference
Self-built GPU Cluster
NCP Node
Third-party & Elastic Cloud
AI Training
AI Inference
Large Models
Scientific Computing
Other AI Workloads
- Diverse Compute
- Unified Management
- Intelligent Scheduling
- High Availability
- Security & Compliance
- Cost Optimization
Core Architecture
Four pillars from model production to runtime
Token Factory, inference acceleration, unified APIs, and enterprise Agents — one closed-loop AI platform
Model Production
Token Factory
End-to-end pipelines for training, fine-tuning, evaluation, and versioned publishing — from dataset to a production-ready checkpoint.
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 Token Factory, accelerate serving, then expose APIs and Agents on the same platform
Production Pipeline
Token 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