Insights on GPU infrastructure, AI, and data centers.
Google's $4.75 billion acquisition of Intersect Power marks the first major tech company purchase of a renewable energy developer, signaling a strategic shift from power purchase agreements to direct ...
Meta secures up to 6.6GW of nuclear power through 20-year agreements with Vistra, TerraPower, and Oklo, positioning the company as one of the largest corporate nuclear purchasers in American history w...
A single NVIDIA Blackwell GPU supports up to 18 NVLink connections at 100 gigabytes per second each, delivering 1.8 terabytes per second of total bandwidth—14 times the bandwidth of PCIe Gen5.¹ The
Microsoft and Caterpillar demonstrated a 3-megawatt hydrogen fuel cell system providing over 48 hours of continuous backup power to a data center in Cheyenne, Wyoming. The demonstration
Senator Cotton's DATA Act exempts off-grid data centers from FERC. Analysis of regulatory bypass, interconnection queue avoidance, and infrastructure implications.
SpaceX filed FCC plans for 1M orbital data center satellites projecting 100GW AI compute. Analysis of technical specs, regulatory challenges, and market implications.
GPT-5.2 achieves 90% ARC-AGI-1 and perfect AIME 2025. Analysis of benchmark results and data center infrastructure requirements for inference.
Deploying a large language model used to require weeks of infrastructure work, custom optimization scripts, and a team of ML engineers who understood the dark arts of inference tuning. NVIDIA changed
APAC faces 165% power demand increase by 2030. Singapore restricts data centers, Malaysia faces blackouts. Solutions from microgrids to SMRs for AI infrastructure.
Alibaba Cloud discovered their vGPU deployment achieving only 47% of bare-metal performance despite marketing claims of 95% efficiency, costing them $73 million in over-provisioned infrastructure to
The NVIDIA Blackwell Ultra GPU delivers 15 petaflops of dense FP4 compute, 50% more memory than the B200, and 1.5 times faster performance.¹ A single GB300 NVL72 rack achieves 1.1 exaflops of FP4
DeepSeek claims to have trained its R1 model for just $5.6 million using 2,000 NVIDIA H800 GPUs.¹ Comparable Western models required $80 million to $100 million and 16,000 H100 GPUs.² The January
Tell us about your project and we'll respond within 72 hours.
Thank you for your inquiry. Our team will review your request and respond within 72 hours.