GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Best Fireworks AI Alternatives in 2026: When to Switch and What to Switch To
Fireworks AI is the production-leaning alternative to Together — strong on reliability and tool use. But for cost-anchored or data-residency workloads, here are the better options.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Top Together AI Alternatives in 2026: Self-Hosted, Hosted, and Hybrid Options
Together AI is the cheapest hosted Llama / Mistral / Qwen API but has limits on customisation, data control and…
The Best Paperspace Alternatives for AI in 2026: Dedicated, Serverless and Managed
Paperspace pricing and reliability have shifted. Here are the strongest alternatives — dedicated GPU rentals, serverless inference platforms, and managed…
Cost Per 1M Tokens for DeepSeek Self-Hosted: V2 16B Across Every GPU
Detailed cost-per-million-tokens for DeepSeek-V2 16B Lite on every dedicated GPU we host, plus the multi-GPU configurations needed for V2 236B.
Best AWS SageMaker Alternatives for AI Inference in 2026
SageMaker remains the AWS default for managed ML, but its complexity and pricing have driven many teams to alternatives. Here…
Can the RTX 5090 Run Llama 3 70B at INT4? The Honest Answer With Real Numbers
The 32 GB RTX 5090 should fit Llama 3 70B at INT4 (40 GB weights, right?). Yes — but the…
Self-Hosted OpenAI-Compatible API: A Complete Replacement Guide for vLLM, Ollama and TGI
How to stand up a self-hosted endpoint that the OpenAI Python and Node SDKs can talk to unchanged. vLLM, Ollama,…
Serverless GPU vs Dedicated GPU: When Each One Wins, With Real Cost Math
Should you run your AI workload on serverless GPUs (Modal, Replicate, RunPod serverless) or rent a dedicated GPU server? Real…
Code Llama VRAM Requirements: 7B, 13B, 34B and 70B Across Every Precision
Exactly how much GPU memory each Code Llama variant needs at FP16, FP8 and AWQ-INT4 — plus KV cache for…
Stable Diffusion XL VRAM Requirements: From 6 GB Minimum to Production-Ready
How much VRAM does SDXL actually need? Numbers for FP16, FP8, INT8, with and without ControlNets, LoRAs and refiners. Plus…
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