Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Coqui XTTS v2 is the leading open-weight voice cloning TTS. Here is how to build a voice assistant pipeline around it — STT in, XTTS out, LLM in the middle.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Whisper Large-v3 is fast enough for real-time transcription on the right GPU. Here is what real-time means in practice, what…
AI agents have different sizing constraints than chatbots — multi-step reasoning, tool calls, longer outputs. The best GPU is rarely…
Embedding models are tiny but throughput-hungry. The right GPU for self-hosting BGE, nomic-embed and ColBERT is rarely the same as…
How to architect a GDPR-compliant AI inference deployment on dedicated UK GPU servers. Lawful basis, DPIAs, data flows, and the…
Both configurations cost roughly the same and serve 70B-class models. One is simpler to operate; the other is faster on…
Both are credible AI hosting cards but at very different price points. Here is the workload-by-workload decision framework — when…
Lambda Labs is one of the strongest GPU clouds for ML workloads. Here is how a GigaGPU dedicated RTX 4090…
RunPod offers RTX 4090 by the second. GigaGPU offers it by the month. Which is cheaper for your specific workload?…
If you are deciding between renting an RTX 4090 24 GB and paying Together AI per token for the same…
Find exactly what you need — from GPU benchmarks to deployment tutorials.
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