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Explore the Corvex blog for expert perspectives on confidential computing, secure AI deployment, and innovations in cloud infrastructure. Whether you're building scalable AI models or navigating evolving cloud security standards, our blog delivers the latest strategies and technical deep dives from industry leaders.
Blog
Enhancing AI Infrastructure with Rail Aligned Architectures
One of the most effective ways to improve the efficiency of AI workloads is through Rail Aligned Architectures (RAAs), a design strategy that enhances data throughput and GPU utilization.
Enhancing AI Infrastructure with Rail Aligned Architectures
One of the most effective ways to improve the efficiency of AI workloads is through Rail Aligned Architectures (RAAs), a design strategy that enhances data throughput and GPU utilization.
Video
Inside the NVIDIA B200: Performance, Cooling, and Real-World Use Cases
In this video, Corvex AI Co-Founder and Co-CEO Seth Demsey breaks down everything you need to know about the powerful NVIDIA B200 GPU, built on the new Blackwell architecture. Designed for AI at scale, the B200 offers massive improvements in memory, compute efficiency, and throughput—making it ideal for large model inference, fine-tuning, and foundation model development.
Inside the NVIDIA B200: Performance, Cooling, and Real-World Use Cases
In this video, Corvex AI Co-Founder and Co-CEO Seth Demsey breaks down everything you need to know about the powerful NVIDIA B200 GPU, built on the new Blackwell architecture. Designed for AI at scale, the B200 offers massive improvements in memory, compute efficiency, and throughput—making it ideal for large model inference, fine-tuning, and foundation model development.
Video
Bare Metal: What It Is and Why It Matters
What is bare metal, and why does it matter for AI training, inference, and cloud performance? Corvex Co-CEO Seth Demsey unpacks the advantages.
Bare Metal: What It Is and Why It Matters
What is bare metal, and why does it matter for AI training, inference, and cloud performance? Corvex Co-CEO Seth Demsey unpacks the advantages.
Video
Confidential Computing: The Backbone of Secure AI Computing
In the era of advanced AI and large-scale data processing, security can no longer be an afterthought. Confidential computing has quietly become one of the most important—but often misunderstood—advances in cloud and data security.
Confidential Computing: The Backbone of Secure AI Computing
In the era of advanced AI and large-scale data processing, security can no longer be an afterthought. Confidential computing has quietly become one of the most important—but often misunderstood—advances in cloud and data security.
Interesting Reading
Interesting Reading: A Guide to GPU Rentals and AI Cloud Performance
In this guest-author piece for The New Stack, Corvex Co-CEO Jay Crystal outlines key factors in ensuring optimal AI Cloud performance.
Interesting Reading: A Guide to GPU Rentals and AI Cloud Performance
In this guest-author piece for The New Stack, Corvex Co-CEO Jay Crystal outlines key factors in ensuring optimal AI Cloud performance.
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Article
Comparison: Corvex vs Azure: The Right Choice for AI-Native Infrastructure
Corvex outperforms Azure for AI infrastructure with H200/B200/GB200 GPUs, flat pricing, and faster LLM performance—built for modern AI teams.
Comparison: Corvex vs Azure: The Right Choice for AI-Native Infrastructure
Corvex outperforms Azure for AI infrastructure with H200/B200/GB200 GPUs, flat pricing, and faster LLM performance—built for modern AI teams.
Article
Serving LLMs Without Breaking the Bank
Run your model on an engine that keeps GPUs > 80 % busy (vLLM, Hugging Face TGI, or TensorRT-LLM), use 8- or 4-bit quantisation, batch and cache aggressively, and choose hardware with plenty of fast HBM and high-bandwidth networking. Corvex’s AI-native cloud pairs H200, B200, and soon GB200 NVL72 nodes with non-blocking InfiniBand and usage-based pricing (H200 from $2.15 hr) so you only pay for the compute you keep busy. corvex.aicorvex.ai
Serving LLMs Without Breaking the Bank
Run your model on an engine that keeps GPUs > 80 % busy (vLLM, Hugging Face TGI, or TensorRT-LLM), use 8- or 4-bit quantisation, batch and cache aggressively, and choose hardware with plenty of fast HBM and high-bandwidth networking. Corvex’s AI-native cloud pairs H200, B200, and soon GB200 NVL72 nodes with non-blocking InfiniBand and usage-based pricing (H200 from $2.15 hr) so you only pay for the compute you keep busy. corvex.aicorvex.ai
Article
What is the true cost of training LLMs? (And how to reduce it!)
The cost of training large language models (LLMs) isn’t just about how much you pay per GPU-hour. The real cost includes hardware performance, infrastructure efficiency, network design, and support reliability. This guide breaks down what actually impacts the total cost of training and how to reduce it without sacrificing performance.
What is the true cost of training LLMs? (And how to reduce it!)
The cost of training large language models (LLMs) isn’t just about how much you pay per GPU-hour. The real cost includes hardware performance, infrastructure efficiency, network design, and support reliability. This guide breaks down what actually impacts the total cost of training and how to reduce it without sacrificing performance.
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