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Hardware-Software Integration: a chip born for voice AI, a platform born for enterprise systems

EBOX-200 is built on Espressif's new-generation flagship ESP32-S31; the EAR CLOUD platform runs distilled lightweight models — edge-cloud synergy with no GPU server required.

ESP32-S31Distilled Qwen3-4BGPU-free private deployment
EBOX-200 HARDWARE

ESP32-S31 · flagship voice AI SoC

Espressif's new dual-core RISC-V chip entering mass production in 2026 — officially positioned for smart speakers, edge intelligence and industrial automation.

CategorySpecification
ComputeDual-core RISC-V 320MHz, 128-bit SIMD per core, AI instruction acceleration
PerformanceCoreMark ~65% higher than the previous S3 — edge neural inference with headroom
Big memory250MHz DDR PSRAM, up to 64MB SiP — on-device models fit
ConnectivityWi-Fi 6 + Bluetooth 5.4 (LE Audio) + 802.15.4 + Gigabit Ethernet MAC
AudioDual I2S controllers, hardware-level audio sync, low latency and high fidelity
Industrial securitySecure boot + Flash / PSRAM encryption + AES / RSA / ECDSA hardware acceleration
Expansion60 GPIOs, DVP camera, LCD — reserved for product evolution
EAR CLOUD PLATFORM

Distilled lightweight models · LLMs on GPU-free servers

Distilling LLM capability to the 1B–4B scale with quantization and inference optimization — one 16-core 32GB server carries 5 concurrent sessions, deployed privately in the customer's server room.

Distilled models · Qwen3-ASR / Qwen3-4B

Recognition model 1.7B, understanding model 4B — quantized and running real-time on pure CPU. Keeps the LLM's contextual understanding, cuts the GPU cost: big-vendor model capability at factory-grade deployment threshold.

Industry hot words · Context Biasing

10k-token vocabulary context injection: material names, bin codes, batch numbers go straight into recognition bias — rare terms like "bin A-12" or "M8 nut" recognize far better than generic models.

Dual-route NLU · fast answers fast, hard questions to the LLM

Frequent questions (stock / bin / in-outbound) go through the rule engine straight to enterprise systems, answered in ~1s; long-tail questions fall back to the LLM. The frequent path is deterministic and reliable, the long-tail path intelligent and flexible.

MCP enterprise integration · zero rework

Standard protocol wraps your existing system interfaces — not one line of your code changes. Rollout measured in weeks, not months.

16 cores / 32GB
per server · 500GB · no GPU
5 sessions
concurrent per server, horizontally scalable
Weeks to launch
integration cycle · private delivery
0 leak
wake/detect at the edge; recognize/understand/synthesize all on the intranet
Next:Next: the four-tier deployment ladder

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From a single pilot server to a GPU cluster — we'll draw you the deployment roadmap.