𝗔rchitecture and software The NVIDIA Blackwell platform + GB200 NVL72 rack system = up to 50× higher AI factory productivity. Throughput + energy and water efficiency gains + full-stack orchestration = scalable inference.
SOFTWARE
-
NVIDIA Inference Platform: Balancing Accuracy, Latency, and Cost
By
–
𝗠ulti-dimensional performance Optimal Inference is a trade-off: accuracy, latency, and cost. Some tasks need ultra-low latency (real-time translation), while others prioritize throughput (multi-million-token queries). The NVIDIA Inference Platform accelerates models
-

Smart Inference Deployment: Scaling AI Across Enterprise Systems
By
–
Deploying AI at scale requires you to 𝗧𝗵𝗶𝗻𝗸 𝗦𝗠𝗔𝗥𝗧 about inference: 𝗦cale and complexity 𝗠ulti-dimensional performance
𝗔rchitecture & software
𝗥OI driven by performance
𝗧echnology ecosystem & install base Let’s break it down -

Sesame TTS Outperforms Competitors in Quality and Speed
By
–
I still can't explain why Sesame in TTS is so much better than all the competition: it sounds more natural, has less latency and is funnier.
-

Discover Qoder AI IDE for Intelligent Code Development
By
–
Try out @qoder_ai_ide here: https://
qoder.com -
AnyCoder enables one-click multi-page app deployment
By
–
small update, anycoder can now vibe code and deploy multi page apps, one click pic.twitter.com/mqfmkcSVgP
— AK (@_akhaliq) 21 août 2025small update, anycoder can now vibe code and deploy multi page apps, one click
-
NVIDIA Blackwell GB200 NVL72 50x AI Inference Productivity
By
–
𝗔rchitecture and software The NVIDIA Blackwell platform + GB200 NVL72 rack system = up to 50× higher AI factory productivity. Throughput + energy and water efficiency gains + full-stack orchestration = scalable inference.
-

Claude Code Generates Code While Managing Multiple Parallel Projects
By
–
Trabajando en dos proyectos en paralelo mientras instancias de Claude Code va tirando líneas de código a lo loco
-

DeepSeek v3.1 Uses UE8M0 FP8 Logarithmic Training Format
By
–
It is interesting that the new @deepseek_ai v3.1 is trained using the UE8M0 FP8 scale data format which is logarithmic number system. Our multiplicative weights update (Madam) for training in that format was done several years ago while at @nvidia It yields maximum hardware
-

Microsoft releases free open source MCP Python course
By
–
Microsoft just released a new course on MCP for Python developers. 100% free and Opensource.