GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
RTX 4090 24 GB Self-Hosted vs Together AI: When Each One Wins
If you are deciding between renting an RTX 4090 24 GB and paying Together AI per token for the same models, here is the precise break-even math.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
RTX 4090 24 GB for Codestral 22B: Fits, Just Barely, and Here’s How
Mistral Codestral 22B at AWQ-INT4 fits on a 24 GB RTX 4090 with very tight KV cache headroom. The deployment…
RTX 4090 24 GB for DeepSeek-Coder V2 Lite: A Concrete Deployment Guide
DeepSeek-Coder V2 Lite (16B MoE, 2.4B active) on a single RTX 4090 24 GB — VRAM math, vLLM config, real…
RTX 4090 24 GB TFLOPS Benchmark Class: Where It Sits in the AI Hierarchy
The RTX 4090 punches at roughly the same FP16 TFLOPS class as datacenter A100 cards. Here is the precise benchmark…
RTX 4090 24 GB Spec Breakdown for AI Workloads in 2026
The full RTX 4090 spec sheet for AI buyers in 2026 — what each number means, where the architecture wins…
Building a Voice Agent Pipeline on the RTX 5060 Ti 16 GB
Whisper + Llama 3 + Kokoro TTS as a complete voice agent stack on a single RTX 5060 Ti 16…
QLoRA Fine-Tuning on the RTX 5060 Ti 16 GB: A Practical Guide for 7B Models
How to fine-tune Llama 3 8B, Mistral 7B and Qwen 2.5 7B on a single RTX 5060 Ti 16 GB…
Running a 128K Context LLM on the RTX 5060 Ti 16 GB: What Actually Fits
Llama 3.1 8B and Qwen 2.5 7B both support 128K context — but does it fit on a 16 GB…
Batch Size Tuning on the RTX 5060 Ti 16 GB: Where Throughput Stops Improving
vLLM continuous batching auto-tunes most things, but max-num-seqs and max-num-batched-tokens still need manual tuning on the 5060 Ti. Here are…
Tuning TTFT P99 on the RTX 5060 Ti 16 GB: Six Things That Actually Move the Number
Time-to-first-token p99 is the chatbot SLA most teams try to meet. Here are the six knobs that actually shift the…
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