๐ก๐ฉ๐๐๐๐ ๐๐น๐ฎ๐ฐ๐ธ๐๐ฒ๐น๐น ๐จ๐น๐๐ฟ๐ฎ ๐๐ฒ๐ฎ๐ฑ๐ ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐๐ ๐๐ฒ๐ป๐ฐ๐ต๐บ๐ฎ๐ฟ๐ธ
NVIDIA Blackwell Ultra NVL72 set a new standard for agentic AI.
New data from Artificial Analysis shows the Blackwell Ultra NVL72 runs 20x more agents per megawatt than the Hopper H200 system.
This uses the AgentPerf benchmark. AgentPerf is the first test built specifically for agentic AI workloads.
Why this matters:
Traditional benchmarks measure single chat responses. They look at how fast one model answers one question.
Agents work differently. An agent is a series of steps. It breaks a goal into many tasks. It calls tools. It searches databases. It writes code. It repeats this until the job ends. This requires many linked model calls.
Standard metrics like tokens per second do not show the full picture for agents. AgentPerf measures how many completed tasks a system finishes per unit of energy.
Technical advantages of the Blackwell Ultra:
- It connects 72 GPUs into one rack-scale system.
- This allows large models to distribute work across the entire rack.
- CUDA kernels overlap communication and compute tasks.
- This reduces the time spent waiting for data.
- TensorRT LLM optimizes input processing and output generation separately.
For businesses, this changes the math on scaling. The 20x efficiency gap means you can run more agents for every dollar and watt spent.
If you optimize your hardware for chatbots, you might miss the performance needed for autonomous agents.
Source: blogs.nvidia.com
Here is the complete post link: https://dev.to/gentic_news/nvidia-blackwell-ultra-leads-first-agentic-ai-benchmark-20x-agentsmw-vs-hopper-4bb5
Optional learning community: https://t.me/GyaanSetuAi