Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Self-hosted LlamaIndex on Blackwell 16GB - ingest docs, build an index, query via your own vLLM endpoint.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Two Blackwell 16 GB cards with radically different bandwidth - here is when the 5080 pays back.
Same 16 GB, one generation apart - here is the Blackwell uplift over Ada in numbers.
A workload-by-workload framework for picking between new Blackwell 16GB and proven Ampere 24GB.
OpenWebUI + vLLM/Ollama on Blackwell 16GB - ChatGPT-style frontend for your self-hosted LLM.
Install and configure Ollama on Blackwell 16GB - single-command model serving with OpenAI-compatible API.
Beyond tensor cores, the 5060 Ti has 9th-gen NVENC and NVDEC video engines. For AI video and vision pipelines they…
Meta MusicGen on Blackwell 16GB - generation time for melody, small, medium, and large across clip lengths.
Running two or four RTX 5060 Ti 16GB in one server - data parallel, tensor parallel and workload-split topologies compared…
Long-context Mistral Nemo 12B on Blackwell 16GB - how KV cache demands shape monthly throughput and the API-vs-dedicated trade.
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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