Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Codestral 22B at AWQ INT4 is tight on 16GB Blackwell. When it's worth the squeeze over smaller coding models and when to step up.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
CodeLlama 13B on Blackwell 16GB via AWQ - still relevant for teams invested in the Meta licence ecosystem, though newer…
High-throughput classification on Blackwell 16GB - DeBERTa, Phi-3, and LLM-based labelling at millions of items/day.
Bolt a Blackwell 16 GB AI sidecar onto an existing cloud app - VPN, TLS, and a tight latency budget.
The complete catalogue of AI workloads the RTX 5060 Ti 16GB handles, with typical throughput, concurrency, and where each category…
Process millions of brand mentions per day with DeBERTa sentiment plus a Llama nuance layer on Blackwell 16GB - private,…
Adding AI assistance to WordPress, Strapi, Ghost, Sanity on Blackwell 16GB - writing help, image gen, SEO, translation.
Host a tool-using LLM agent backend on Blackwell 16GB - Qwen 14B AWQ, function calling, reasoning loops at concrete per-step…
FLUX.1-schnell on Blackwell 16GB - 4-step distilled SOTA image gen, FP16 and FP8 throughput numbers.
The commands, config and sanity checks to work through on day one of a new Blackwell 16GB dedicated server -…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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