DeepSeek V4-Flash Appliance — On-Prem Enterprise AI | HotelByte
Private AI Inference Appliance

DeepSeek V4-Flash
Private AI Appliance

More than inference hardware: a business-ready enterprise AI platform with built-in knowledge base, Data Agent, and self-evolving capabilities.

284B
Parameters
76GB
Q2 Quantized Size
128GB
Min Memory
1/10
vs. Competitor Cost
Business-Ready Out-of-the-Box

Built-in Enterprise AI Apps

No complex setup or specialist AI team. Pre-built knowledge base, Data Agent, and self-evolving engine start creating business value after deployment.

Intelligent Knowledge Base

Built-in enterprise RAG system. Auto-parse PDFs, Word, Excel into searchable vector knowledge bases. Department-level access isolation.

Data Agent

Query business data in natural language. "Why did East China bookings drop last week?" — auto-joins tables, generates SQL, outputs insight reports. No data team needed.

Self-Evolving Capability

Agents continuously learn from internal Q&A feedback to auto-optimize retrieval strategies and response quality. The more you use it, the better it understands your business.

Deep Software Optimization

No complex fine-tuning or prompt engineering needed. Pre-built vertical templates for hotel distribution, finance compliance, legal review. Plug in and deploy in 30 minutes.

Core Technology Highlights

DS4 is a purpose-built inference architecture tuned for DeepSeek V4 Flash

76GB Model Size

DS4's 2-bit asymmetric quantization compresses 284B params to ~76GB. Runs smoothly on 128GB memory.

1/10th the Cost

Competing DeepSeek appliances cost ¥200K-3M. DS4 entry-level starts at just ¥30-40K.

1M Token Context

KV cache disk-offloading slashes memory needs for million-token long-context inference.

Data Never Leaves

On-premise deployment satisfies data compliance for finance, healthcare, and legal industries.

Three Deployment Tiers

From entry validation to enterprise compliance, choose the right hardware package for budget and scenario.

DGX Spark Entry

128GB Unified Memory / DS4 Q2 Quant
¥30-40K
Estimated retail price with margin
Inference speed ~18 tok/s
  • NVIDIA DGX Spark GB10
  • Native DS4 CUDA backend
  • Pre-loaded 284B model
  • Plug & play
RECOMMENDED

Mac Studio Pro

512GB Unified Memory / DS4 Q4 Quant
¥80-100K
Estimated retail price with margin
Inference speed ~36 tok/s
  • Apple M3 Ultra chip
  • Native DS4 Metal backend
  • Peak inference speed
  • Silent, office-friendly

Domestic GPU Compliant

Dual 48GB×2 / 512GB DDR4
¥230-370K
Estimated retail price with margin
Inference speed ~25 tok/s
  • Moore Threads MTT S4000 dual
  • Full domestic compliance
  • vLLM + DS4 hybrid backend
  • Gov/enterprise preferred

Core Difference vs. Competitors

Most DeepSeek appliances are priced around ¥200K-3M and are hardware-heavy, software-light. HotelByte DS4 uses software innovation to deliver stronger cost-performance.

Competitors: ¥200K-3M, mostly hardware stacking
Competitors: generic inference frameworks, not DeepSeek-tuned
Competitors: basic software, add-ons required
HotelByte: ¥30K-370K, software-defined cost-performance
Traditional DeepSeek appliance
¥200K-3M / hardware stacking / basic software
Public cloud API
Data residency risk / unpredictable token cost / network dependency
HotelByte DS4 一体机
¥30K-370K / software-defined cost-performance / on-device data / ready out of the box
How it works

How the DeepSeek V4-Flash Appliance ships

Plug in, connect knowledge and data, and run pre-built templates from day one.

  1. 1

    Plug in and power on

    Connect the appliance, allocate 128GB of unified memory, and boot. The DS4 inference engine boots in 30 minutes on Apple Silicon, NVIDIA, or AMD.

  2. 2

    Connect knowledge and data

    The built-in RAG knowledge base parses documents with department-level isolation. The Data Agent federates queries across your business data with RBAC.

  3. 3

    Run pre-built templates

    Hotel distribution, finance compliance, and legal review templates are pre-installed. The Self-Evolving engine starts learning from day-one feedback.

Make AI Real in Your Business

No need to hire an AI team or run long model-tuning projects. Plug in, deploy in 30 minutes, and let the system learn your business over time.

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