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Model Guides

Model Guides

Step-by-step setup guides for specific AI models on dedicated GPU servers. From LLM deployment to vision model hosting and speech model hosting, each guide includes configuration, optimisation tips, and GPU recommendations.

Model Guides Apr 2026

RTX 5060 Ti 16GB for Yi 9B

01.AI's Yi-1.5-9B on Blackwell 16GB - VRAM budgets, throughput, deployment, and where it stacks against Gemma, Mistral-Nemo and Qwen at…

Model Guides Apr 2026

RTX 5060 Ti 16GB Native FP8 Support

The 5060 Ti has native FP8 tensor cores - what E4M3 and E5M2 actually deliver in practice, which models ship…

Model Guides Apr 2026

The GDDR7 Advantage on the RTX 5060 Ti 16GB

GDDR7 is the generational memory upgrade that makes Blackwell shine. PAM3 signalling, 28 Gbps per pin, and what it delivers…

Model Guides Apr 2026

RTX 5060 Ti 16GB Max Model Size – The Ceiling

Exactly how big a model can you host on the 5060 Ti 16GB? Per-precision ceilings with concrete model examples and…

Model Guides Apr 2026

NVENC and NVDEC on the RTX 5060 Ti 16GB for AI Pipelines

Beyond tensor cores, the 5060 Ti has 9th-gen NVENC and NVDEC video engines. For AI video and vision pipelines they…

Model Guides Apr 2026

PCIe Gen 5 on the RTX 5060 Ti 16GB

PCIe Gen 5 x8 on the 5060 Ti doubles per-lane bandwidth over Gen 4. When that matters for AI, when…

Model Guides Apr 2026

RTX 5060 Ti 16GB Spec Breakdown for AI

Every spec that matters for AI workloads on the RTX 5060 Ti 16GB, with concrete numbers and plain-English explanations of…

Model Guides Apr 2026

5th-Gen Tensor Cores on the RTX 5060 Ti 16GB

Blackwell 5th-gen tensor cores add native FP8, structured sparsity, and improved BF16 throughput. What each delivers for production AI.

Model Guides Apr 2026

Codestral 22B Self-Hosted on a Dedicated GPU

Mistral's Codestral 22B is a dedicated coding model that beats many 30B+ generalists on programming tasks. Hosting it is straightforward.

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