Valve’s new hardware is solid but might not justify its $99 price. I am Steam Controller, second of his name! […]
Category: Hardware
OpenAI Scales Trusted Access for Cyber Defense With GPT-5.4-Cyber: a Fine-Tuned Model Built for Verified Security Defenders
Cybersecurity has always had a dual-use problem: the same technical knowledge that helps defenders find vulnerabilities can also help attackers […]
Defeating the ‘Token Tax’: How Google Gemma 4, NVIDIA, and OpenClaw are Revolutionizing Local Agentic AI: From RTX Desktops to DGX Spark
Run Google’s latest omni-capable open models faster on NVIDIA RTX AI PCs, from NVIDIA Jetson Orin Nano, GeForce RTX desktops […]
Meet Mamba-3: A New State Space Model Frontier with 2x Smaller States and Enhanced MIMO Decoding Hardware Efficiency
The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward […]
Don’t worry, Valve still plans to launch the Steam Machine “this year”
Valve quickly reconfirmed that it plans to ship the Steam Machine and other recently announced hardware products “this year,” after […]
Tailscale and LM Studio Introduce ‘LM Link’ to Provide Encrypted Point-to-Point Access to Your Private GPU Hardware Assets
For the modern AI developer productivity is often tied to a physical location. You likely have a ‘Big Rig’ at […]
Meta AI Open Sources GCM for Better GPU Cluster Monitoring to Ensure High Performance AI Training and Hardware Reliability
While the tech folks obsesses over the latest Llama checkpoints, a much grittier battle is being fought in the basements […]
Taalas is replacing programmable GPUs with hardwired AI chips to achieve 17,000 tokens per second for ubiquitous inference
In the high-stakes world of AI infrastructure, the industry has operated under a singular assumption: flexibility is king. We build […]
Microsoft Unveils Maia 200, An FP4 and FP8 Optimized AI Inference Accelerator for Azure Datacenters
Maia 200 is Microsoft’s new in house AI accelerator designed for inference in Azure datacenters. It targets the cost of […]
NVIDIA XGBoost 3.0: Training Terabyte-Scale Datasets with Grace Hopper Superchip
NVIDIA has unveiled a major milestone in scalable machine learning: XGBoost 3.0, now able to train gradient-boosted decision tree (GBDT) […]
