Agentic AI inference at one-tenth the cost per token with NVIDIA Vera Rubin NVL72. Agent sandboxes run 50% faster on NVIDIA Vera than traditional CPUs — while enterprise data queries are up to 3x faster with the Vera CPU. And 5,000 enterprises like Lilly, Samsung, and Honeywell are running AI workloads on Dell AI Factories […]
Building an agent in an afternoon is now within reach of almost anyone in the enterprise with a credit card. The tools are accessible, the deployments are easy. The hard part is delivering the intended results.
Gartner predicts that more than 40% of agentic AI projects will be canceled by 2027, and the EU AI Act Article 14 requirements for human oversight for high-risk AI systems take effect on August 2, 2026. The deciding factor for whether agentic AI reaches production isn’t the model, the framework, or the use case. It’s the infrastructure beneath the agent: the part the people building agents have never had to think about.
Organizations are racing to deploy agentic AI to stay competitive, which means pressure-testing is often overlooked. Every agent project should be scrutinized by three executives asking three different sets of questions. The CISO asks whether we are exposed. The CFO asks whether we are overspending. The chief AI officer asks whether we are getting value.
As a pr
NVIDIA has released Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of Nemotron-3-Super. Iterative Puzzle alternates hardware-aware structural compression with short knowledge distillation recovery phases. The model drops from 120.7B total / 12.8B active parameters to 75.3B / 9.3B. On a single 8xB200 node it delivers 2.03x Super's total throughput at 100 tok/s per user. On one H100, 1M-token concurrency rises from 1 request to 8.
The post NVIDIA Releases Nemotron-Labs-3-Puzzle-75B-A9B: A Compressed Hybrid MoE LLM Delivering 2.03x Server Throughput at Matched User Throughput appeared first on MarkTechPost.
The post AxBlade × AWS Hong Kong Summit Wraps: Defining Accountability for Physical AI appeared on BitcoinEthereumNews.com.
AxBlade, the accountability layer for autonomous AI, co-hosted the exclusive side event “From Agentic AI to Physical AI: What Gets Funded After the Model Wave?” alongside AWS Summit Hong Kong Week. Held at the Hopewell Hotel, the invitation-only gathering brought together 100+ founders, researchers, enterprise leaders, and investors from AWS, NVIDIA, Y Combinator, Crypto.com, Roche, Pfizer, SNZ, and City University of Hong Kong to examine the critical infrastructure gap between AI demos and real-world deployment. From Models to Accountability: The Consensus The event opened with a keynote by Nick Hau, Founder of AxBlade, who argued that the next wave of AI funding will not go to larger language models, but to the infrastructure that makes autonomous AI accountable in physical environments. This was followed by a keynote from Ian Holtz, Head of Agentic AI at AWS, o
The post NVIDIA GPUs Slash Presto Query Latency by 8x on GB200 NVL72 appeared on BitcoinEthereumNews.com.
Iris Coleman
Jul 08, 2026 16:41
NVIDIA GPUs accelerate Presto SQL queries by up to 8x, leveraging GB200 NVL72 for high-throughput analytics. IBM Storage Scale integration boosts I/O performance.
NVIDIA has demonstrated that GPU-accelerated Presto can deliver up to 8x faster query performance compared to traditional CPU clusters. Benchmarked on the NVIDIA GB200 NVL72 system, this innovation highlights the transformative potential of GPUs for large-scale data analytics, particularly for enterprises scaling their workloads across terabyte- to petabyte-sized datasets. Presto, an open-source distributed SQL engine, is widely used for interactive queries on massive datasets. By integrating NVIDIA’s GPU technology, the platform achieves significantly reduced latency. In tests with single-node NVIDIA DGX B200 systems, Presto running on GPUs delivered 2.5x to 8.2x faster r
The post LangChain Deep Agents Boosts NVIDIA Nemotron 3 Ultra Performance appeared on BitcoinEthereumNews.com.
Lawrence Jengar
Jul 08, 2026 15:42
LangChain’s Deep Agents enables fine-tuned optimization for NVIDIA Nemotron 3 Ultra, improving AI task performance and efficiency.
LangChain has introduced a significant enhancement for NVIDIA’s Nemotron 3 Ultra, enabling users to create custom agent harness profiles using its Deep Agents framework. This development aims to address the persistent trade-off between AI model accuracy and cost by optimizing the performance of Nemotron 3 Ultra’s proprietary frontier models through harness-level fine-tuning. Deep Agents, an open-source tool released by LangChain in January 2026, focuses on long-running, multi-step AI workflows. It provides structured planning, persistent memory, and context isolation for enterprise-grade automation. With this framework, LangChain is moving beyond typical fine-tuning methods by allowing developers
Nvidia's PE ratio drop signals a market shift towards realistic valuations, impacting AI and crypto sectors reliant on GPU pricing and availability.
The post Nvidia’s PE ratio drops to 31, its lowest level in 7 years, even as stock price sits near all-time highs appeared first on Crypto Briefing.
Positron's funding efforts highlight a shift towards energy-efficient AI hardware, challenging established players and reshaping industry dynamics.
The post Positron in talks to raise $750M as AI chip startups challenge Nvidia’s dominance appeared first on Crypto Briefing.
Nvidia's undervaluation amid AI growth potential highlights market skepticism, offering investors a strategic entry point for long-term gains.
The post BofA calls Nvidia stock a compelling buying opportunity at seven-year low valuation appeared first on Crypto Briefing.