Perplexity AI launched Portable Computer, an on-device AI agent that runs on desktops using Nvidia silicon. Portable Computer ships with a 20-core CPU, 128GB of memory, and the Qwen 3.8 27B model with a 256,000-token context window. It adds context compaction to handle prompts longer than 100,000 tokens, permissioned access to external tools, and sandboxing/accuracy verification, with future support for more Windows RTX PCs and Nemotron 3.5 Lightning.
Perplexity launched Portable Computer, a version of its Perplexity Computer agent that runs locally on a user’s own machine in cooperation with Nvidia. It is first available on Nvidia’s DGX Spark and runs on the Grace Blackwell GB10 platform with a 20-core Arm CPU and 128 GB of unified memory. Work done locally costs no credits and the agent can escalate to the cloud only when needed for items like web information and model calls.
NVIDIA announced that major PC game publishers will bring titles and anti-cheat support to NVIDIA RTX Spark at Gamescom. EA, Embark, and Ubisoft are among the publishers added ahead of RTX Spark’s launch this fall, including EA SPORTS F1 25 and Apex Legends. RTX Spark will add native EA Javelin anti-cheat support and bundle RTX features like DLSS and Reflex for RTX-powered Windows PCs.
Nvidia released the Jetson Orin Nano 2 edge robotics computer for running AI models on-device. It delivers 78 trillion operations per second of AI compute and uses 40% less power than the previous generation in a 15-watt mode. The higher compute and lower power enable real-time vision and other AI perception tasks in lightweight robots and drones, with general availability planned for the first half of 2027.
Cisco expanded its Secure AI Factory with Nvidia to rack-scale deployments, aiming to let enterprises operate production-ready AI across their infrastructure. The update adds rack-to-fabric liquid cooling beyond 200 kilowatts per rack for reasoning, agentic AI, and trillion-parameter training. It introduces Nvidia Spectrum-X switch silicon with Cisco OS integration and adopts reference architectures plus shared management tooling, changing the offering from rack-level setup toward an end-to-end AI-factory operations stack.
Cisco and Nvidia expanded Cisco Secure AI Factory from networking-based deployments to rack-scale, liquid-cooled systems for production use. The rollout uses liquid cooling systems starting with Blackwell and moving to Vera Rubin. The change shifts customers from first-token setup toward ongoing operations by adding monitoring, health, availability, upgrades, and lifecycle management around Nvidia-aligned, Cisco-validated designs.
Nvidia’s GeForce Now will add official support for Valve’s Steam Controller and Steam Machine later this year. The update is due “later this year,” with Steam Deck/Steam Machine support and “later” availability on Windows and macOS. As a result, more GeForce Now users can use the Steam gamepad, and GeForce Now will also gain new DLSS 4.5 controls for DLSS Super Resolution, Dynamic Frame Generation, and Ray Reconstruction.
Lambda is in talks to raise up to $3 billion at a valuation of $12 billion or more, with a potential IPO as soon as 2027. The article says Lambda is expected to generate more than $1.5 billion in revenue in 2026. If the round closes, Lambda joins multiple neocloud rivals lining up for 2026–2027 listings, but public-market accounting for GPU depreciation will become a key test for its economics.
OpenAI says its Jalapeño AI chip finishes inference tasks more efficiently and returns faster responses than competing AI systems. The blog post and reporter briefing were published on Tuesday. Jalapeño, an ASIC co-developed with Broadcom, is positioned to reduce latency while increasing throughput for AI inference.
SpaceXAI is deploying NVIDIA’s new Vera CPU to power the next generation of its AI agents, including running an optimized Vera hardware setup on its first AI satellite, Starmind. The deployment is tied to Vera Rubin and the next-gen Vera CPU being sent “into orbit,” with the article describing Vera as delivering up to 1.8x faster agentic task completion than traditional x86 chips. This shifts more AI agent workload from GPUs toward a dedicated CPU role (coordinating tools and running code), and it signals that AI infrastructure could expand to space-based compute.
Revolut launched Revolut Research, a dedicated AI research unit in financial services focused on building the AI stack in-house. Revolut says its finance AI model PRAGMA, built with Nvidia, produced early results including 2.3x higher accuracy for credit default risk and 41% more product recommendations. It plans to use these native foundation models across functions like fraud detection, credit decisions, recommendations, and customer service instead of relying primarily on third-party tools.
Every AI story that matters,
in your inbox by 8am.
TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the
day in two minutes. Follow companies and topics for alerts, or get the
briefing in Slack. Free, no spam, unsubscribe anytime.
Reading TLDRocket needs no cookies, and the readership counts we rely on come from
our own cookieless analytics. Google Analytics is the exception: it sets cookies and
reports to Google, so it stays switched off until you allow it. You can change your
mind any time from “Cookie settings” in the footer.
Strictly necessary
Session security and form protection (tldrocket-session,
XSRF-TOKEN, 2 hours). The site cannot work without them,
so they need no consent.
Always on
Google Analytics 4 (_ga,
_ga_<id>, up to 2 years). Measures which
stories and sections readers use. Google acts as a third-party processor and may
store the data outside the EU. No advertising, no profiling, no data sold.
