NVIDIA has announced new advancements in optimizing AI inference infrastructure as enterprises transition from pilot programs to production environments. The highlight of this announcement is startup Baseten successfully leveraging the TensorRT-LLM library to run the DeepSeek V4 Pro large language model on the latest NVIDIA Blackwell chip architecture. This integration delivers significant performance improvements directly within enterprise production environments.
Bối cảnh & Nguyên nhân
According to NVIDIA's announcement in July 2026, infrastructure decisions for AI have clearly shifted. Instead of focusing solely on peak chip specifications, organizations are now highly focused on the cost per token. Critical metrics now include how many useful tokens can be delivered per dollar, per watt, and within required latency targets. In this context, Baseten has deployed NVIDIA's full-stack open inference software on the Blackwell platform to maximize return on investment and lower operational costs for enterprise clients.
Phân tích kỹ thuật & Công nghệ
The power of this next-generation inference system comes from integrating the entire software stack to work as a unified system. NVIDIA states that individual optimizations compound to deliver exponential gains when combined. Specifically, the key technologies applied include disaggregated serving, large expert parallelism over high-speed NVIDIA NVLink interconnects, NVFP4 precision, and multi-token prediction. By applying TensorRT-LLM to serve DeepSeek V4 Pro on Blackwell alongside proprietary runtime optimizations, Baseten achieved up to a 50% increase in tokens per second for complex reasoning tasks.
Ý kiến chuyên gia & Nhận định
Industry analysts note that shifting focus from raw hardware specs to comprehensive software-hardware co-optimization is an inevitable step as the AI market enters large-scale commercialization. Software-level optimizations like TensorRT-LLM play a crucial role in unlocking the full hardware potential of Blackwell GPUs. According to NVIDIA, leading partners like Baseten rapidly achieving these performance milestones validates the effectiveness of an integrated systems approach from silicon to inference software.
Tác động & Tương lai
The combination of Blackwell architecture and optimized inference software is poised to redefine performance standards for cloud AI services. For the tech community and businesses developing AI applications in Vietnam, the downward trend in cost-per-token will make deploying enterprise-grade large language models far more viable and economical in the near future. It also paves the way for a new wave of real-time AI applications operating at minimal costs.