Cloud AI

Cloud AI refers to artificial intelligence capabilities delivered through cloud computing platforms, enabling scalable, on-demand access to specialized hardware, software, and services for developing, deploying, and managing AI applications. For Portuguese engineers, leveraging Cloud AI means access to robust infrastructure and advanced AI models without significant upfront investment, facilitating faster …

Navigating Cloud AI GPU Costs Engineers deploying cloud AI solutions face escalating GPU costs. Effective Cloud AI GPU Cost Optimization requires strategic choices in instance selection, utilization, and model quantization. For fault-tolerant workloads, Amazon EC2 Spot Instances offer discounts of up to 90% over On-Demand pricing, making them a compelling …

Karpenter autoscales GPU nodes on Amazon EKS by watching for pods that the Kubernetes scheduler cannot place, then provisioning EC2 instances that exactly match each pod’s resource requests, node selectors, and tolerations. Unlike the Cluster Autoscaler, which scales node groups based on aggregate capacity, Karpenter evaluates the scheduling requirements of …

Cloud AI is the delivery of machine learning workloads — model training, fine-tuning, and inference — through managed cloud services and on-demand GPU infrastructure rather than owned hardware. For engineering teams in Portugal and across the EU, the practical decision is rarely whether to adopt cloud AI, but which deployment …

Speculative decoding cuts LLM inference latency by up to 2x without changing a single token of output. A small draft model proposes multiple future tokens, the target model verifies them all in one forward pass, and only verified tokens are emitted — making the speedup mathematically lossless. Production benchmarks on …

From 2 August 2026, any organisation that places a general-purpose AI model on the EU market must comply with Article 53 of the AI Act — maintaining technical documentation, a copyright compliance policy, and information-sharing arrangements with downstream providers. For cloud teams running model workloads on managed infrastructure, the first …

Cloud AI is the practice of running artificial intelligence workloads — model inference, fine-tuning, and training — on infrastructure operated by a cloud provider rather than on premises. For engineering teams in Portugal and the EU, the decision is not whether to adopt cloud AI but which deployment model fits …

Cloud AI is the delivery of machine learning workloads — model training, fine-tuning, and inference — through managed cloud services and GPU infrastructure rather than owned hardware. For engineering teams in Portugal, it means accessing accelerators, model registries, and deployment pipelines without provisioning servers, while navigating EU compliance obligations that …

Prompt caching stores the key-value tensors computed during prefill so that subsequent requests beginning with the same prefix skip reprocessing those tokens. The savings are substantial: Anthropic charges cache reads at one-tenth of its standard input price — a 90% discount — and OpenAI bills cached tokens at a reduced …

vLLM PagedAttention is the memory management algorithm that partitions the KV cache into fixed-size blocks stored in non-contiguous GPU memory, reducing memory waste to under 4% compared to the 60-80% squandered by conventional serving systems on fragmentation and over-reservation. The result is up to 24x higher throughput than HuggingFace Transformers …

Cloud AI is the delivery of machine-learning training and inference through cloud-provider APIs, managed platforms, and rented GPU instances rather than hardware a team owns and operates. For engineers and technology teams in Portugal, the question in 2026 is not whether to adopt cloud AI but how to route workloads …