Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Blackwell 16GB as a team dev/staging GPU - model experiments, integration tests, and safe pre-prod validation.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
R1 distilled into a 7B Qwen base - reasoning model on Blackwell 16GB with thinking trace handling and latency budget…
DeepSeek Coder V2 Lite MoE at INT4 fits Blackwell 16GB - fast decode from MoE architecture with 2.4B active params.
Full podcast production stack on Blackwell 16GB - transcription, show notes, chapter markers, thumbnails, translation.
Phi-3-mini delivers extreme concurrency on Blackwell 16GB - ideal for high-QPS classification, lightweight chat, and routing layers.
Phi-3-medium (14B) at AWQ runs comfortably on Blackwell 16GB - a capable Microsoft reasoning model at mid-tier.
Point your existing OpenAI SDK code at a self-hosted vLLM on Blackwell 16 GB - two env vars and you…
Run PaddleOCR at 34 pages per second on Blackwell 16GB - 2.9 million pages per day, layout extraction and multilingual…
Pack 30-50 tenants onto one Blackwell 16GB card using per-tenant LoRA adapters, rate limits and isolated vector indexes.
Mistral Small 3 at 24B pushes the 16GB boundary. Detailed fit analysis, AWQ deployment config, and whether it's viable for…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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