Introducing AMD Instinct™ Coder
Instinct™ Coder is a turnkey inference solution purpose-built for the AI coding use case. It combines Spectro Cloud PaletteAI Inference Launchpad, AMD Instinct™ accelerators, and Supermicro enterprise AI systems into one validated appliance, ready for production on day one.
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More from Spectro Cloud
Recent updates from Spectro Cloud, so you can tell whether this is a one-off or part of a pattern.
Idle GPUs and runaway token bills: the real economics of production AI - Spectro Cloud
Recap of the TeraSky x Spectro Cloud webinar on GPU utilization, tokenomics and inference tuning, with advice from Scott Rosenberg and Pedro Oliveira.
AI ROI and token economics in financial services: NYC panel recap - Spectro Cloud
Recap of the AI ROI + token economics panel at AI for Financial Services NYC, with Tenry Fu (Spectro Cloud), American Express, Silicon Data and Data Maverick.
41 billion tokens later: dogfooding local inference routing
85 engineers, 41 billion tokens, 97.5% served locally and Claude bills 46% lower: what we learned dogfooding PaletteAI Inference Launchpad for a month.
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What other companies in Containers & Kubernetes are doing. The category page shows who’s active, side by side.
Bringing enterprise Linux to the robotics frontier: ROS2 adds Red Hat Enterprise Linux as a tier-1 supported platform
The convergence of enterprise IT and physical computing is accelerating. As artificial intelligence transitions from purely digital environments into autonomous systems, industrial automation, and smart edge devices, the software foundation behind these systems must be as resilient as the physical machines themselves.To power this next generation of intelligent systems, we’re pleased that Red Hat…
Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service), you bring prompts and a reward function; we handle the infrastructure and the…
Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications
The rise of generative AI promised a silver bullet, but for most enterprises, especially banks, digital transformation remains a slow, complex, and costly endeavor. Early reports suggested massive developer productivity gains. But when AI is applied to complex enterprise systems, organizations often collide with what we call the AI productivity paradox.According to a Stanford software engineering…
Why your startup needs open models alongside frontier APIs
Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core product workflows. Yet as startup architectures mature, a clear divide has emerged between teams struggling with margins and those scaling sustainably. The most effective engineering teams have…