Today, as the digital wave sweeps across all industries, large model technology is becoming the core engine driving innovation. However, when enterprises introduce large models, they often encounter pain points such as difficult data security guarantee, high long-term costs, and insufficient scene adaptability. TENSORTEC has been deeply engaged in technological research and development and launched the "Low-cost Private Implementation Solution for Large Model All-in-One Machines". With its three core advantages of "security and controllability, cost optimization, and scene adaptation", it provides a brand-new solution for the intelligent transformation of thousands of industries.
Meet diverse demands and make intelligence more in line with needs
In terms of large models, people often hope for more data supplementation, a higher number of model parameters to achieve smarter models, and at the same time, longer context to support better prompts. In terms of privatization, the key demand is to localize private data to ensure security, have strong scenario applicability and be able to adapt to different environments such as offices and computer rooms. In terms of cost, it is not necessary to pay the Token fees for large model calls for a long time, and it is also important to pursue low power consumption and light operation and maintenance to reduce operating costs. TENSORTEC large model all-in-one machine perfectly meets these demands.
A wide range of product options are available to suit different scenarios
TENSORTEC has launched a variety of large model all-in-one machine solutions to meet the needs of different scenarios.
Low-cost quantitative full-blooded DeepSeek all-in-one machine (DS671B Quantitative Full-blooded Version
It is equipped with 2Intel Xeon 6530 cpus, 1632G of memory, and 1*GeForce/RTX 4090 GPU, etc. The total throughput is over 10 tokens per second, and it can handle 1 person simultaneously. It is suitable for organizations with 1 to 4 people. It is implemented with a single GPU card, featuring low energy consumption. The hardware cost is one-tenth of the full-blooded version, yet the performance can reach 80%. It is suitable for scenarios with high performance requirements and low concurrency.
Server form: 32B large model all-in-one machine
Equipped with 1XINTEL Xeon W3-2423CPU, 2X64GB memory, 1X 1TB SSD and 2X4090/4090D GPU, the typical scenario is an enterprise knowledge base all-in-one machine, which is applied in scenarios such as universities and ships that have requirements for security and privatization. The model supports 32B DeepSeek and QWEN3 offer high cost performance and are implemented with dual consumer-grade GPU cards, making them suitable for scenarios with moderate performance and high concurrency.
PC form 32B large model all-in-one machine
The core board supports Nidda Jetson AGX Orin 275TOPS INT8 computing power, with configurations such as 12-core Arm@Cortex-A78AE v8.2 64-bit CPU, typical scenarios are intelligent assistant all-in-one machines, which can be combined with a 32G+ memory PC to realize the function of a personal assistant with a knowledge base. It is applied in personal studios and small departments of enterprises. The model supports 32B, DeepSeek and QWEN3. It has an extremely high cost performance and low hardware cost, making it suitable for personal demand scenarios.
Three core advantages to solve the problems of implementing large models
TENSORTEC large model all-in-one machine solution starts from the actual needs of enterprises, accurately responds to the core demands in privatization scenarios, and makes the application and implementation of large models simpler and more efficient.
1. "Zero risk" data security, private deployment for greater peace of mind
Local storage ensures no leakage: Private data is 100% processed locally, avoiding the risk of leakage caused by uploading to the cloud. It is especially suitable for scenarios such as universities, ships, and enterprises that are sensitive to data security.
Flexible scene adaptation: Whether in an office environment or a professional computer room, the all-in-one machine can operate stably without the need for additional hardware modifications to adapt to the scene.
2. The cost has been halved, making it more cost-effective for long-term use
Say goodbye to Token fee traps: One-time investment in hardware, no need to pay long-term Token fees for large model calls, annual costs reduced by more than 60% directly.
Low consumption, light maintenance and labor-saving: A single GPU card achieves high-performance computing (for example, the energy consumption of the DS671B quantized full-power version is as low as 1/5 of that of traditional devices), with simple operation and maintenance, and no need for a professional team to be on duty.
Hardware cost is more affordable: With the support of quantitative technology, the hardware cost is only 1/10 of the traditional full-blooded version, but the performance can remain above 80%, with a significant advantage in cost performance.
3. "Dual matching" of performance and scenarios makes it more efficient to use right out of the box
Multi-specification coverage for all needs: From low-cost quantified versions for 1-4 people, to server forms supporting high concurrency, and then to PC forms suitable for personal studios, 32B large models (such as DeepSeek, QWEN3, etc.) are fully covered to meet the needs of organizations of different scales.
▲TensorOS System
Ready-to-use with little hassle: Pre-installed with TensorOS system, it integrates knowledge base engine, document parsing tools and other functions. No complex configuration is required, and it can be put into production right out of the box.
Enrich application scenarios and empower digital transformation in multiple fields
TENSORTEC large model all-in-one machine solution has been applied in multiple fields, proving its hard-core strength of "low cost + high adaptability" with actual results
1. Enterprise Office: An intelligent assistant for cost reduction and efficiency improvement
Executive personal Assistant: Based on the enterprise knowledge base, generate precise quotation plans (such as product package planning with a budget of 50,000 yuan) within 5 minutes, replacing the traditional 3-hour manual organization process.
Resume initial screening AI: Automatically matches job requirements (for example, robot application engineers need to master skills such as ROS2 and Linux), with screening efficiency increased by 3 times and an accuracy rate of over 90%.
Intelligent customer service response: After integrating the product knowledge base, the response speed to customer inquiries has increased by 50%, and the accuracy of the script is 40% higher than that of the general large model.
2. Education and research: Dual guarantees of safety and efficiency
Campus AI Assistant: Solving high-frequency issues such as student identity verification and password reset, with 7× 24-hour on-duty, reducing the burden on administrative staff.
Scientific research knowledge base: Supports refined analysis of papers and experimental data, enables cross-literature search and trend tracking, and helps improve the research efficiency of universities.
3. Industry and Internet of Things: Local computing power drives automation
IoT intelligent control: Direct control of devices with natural language commands (such as "Turn on the fourth row of lights in the small office"), linked with security monitoring and alarm recording, with response latency as low as milliseconds.
Quality Q&A large model: Through "large model + process knowledge base", manufacturing enterprises can achieve automatic analysis of quality issues and tracking of process trends, reducing the defective product rate by 15%.
4. Content Creation: A dedicated knowledge base empowers creativity
Wechat Official account copy generation: By integrating the brand knowledge base (such as the innovative scenario of a coffee brand crossing over into hot pot), generate popular titles and copy like "Coffee meets Hot Pot: Trendy or Outrageous", increasing the reading volume by 2 times.
In addition, in scenarios such as campuses, IoT automated operation and maintenance, and quality Q&A, TENSORTEC large model all-in-one machine solution can also play a significant role in promoting the intelligent upgrade of various fields.
When large models enter the "deep water zone", privatization and low cost have become the core considerations for enterprises in their selection. TENSORTEC large model all-in-one machine solution breaks the predicament of "safety and cost cannot be achieved simultaneously" through technological innovation, enabling all industries to easily embrace the intelligent era. With the advantages of low cost and privatization, it brings new intelligent experiences to various industries and opens a new chapter in the implementation of intelligent applications.
