Model Hosting Guide

Cheapest Cloud GPU to Host Meta Llama 3.3 70B Instruct

Llama 3.3 70B is the most popular open-source LLM for production serving. At FP8 precision, the 142 GB model compresses to 72 GB — fitting on a single H200 (141 GB) with ample room for KV-cache at 32k context. For H100 clusters, TP=2 splits the model across 2 GPUs with NVLink.

Parameters70.6B Dense

Min GPUH200 SXM5

Min VRAM141 GB (FP16) / 72 GB (FP8)

Cluster1x H200 141GB (Single Node) or 2x H100 80GB

VRAM Sizing Matrix

Memory consumption at different quantization levels for Meta Llama 3.3 70B Instruct. Includes model weights only — KV-cache adds 2-32 GB depending on context length and batch size.

Precision	VRAM Required	Fits On	Quality Loss
FP16 / BF16	142 GB	Multi-GPU cluster	None (full precision)
FP8	72 GB	Single GPU	<1% perplexity delta
INT4 / AWQ	40 GB	Single consumer GPU	1-3% quality degradation

Hardware Bottleneck Advice

KV-cache expansion, tensor parallelism constraints, and production considerations for Meta Llama 3.3 70B Instruct.

KV-Cache & Context Scaling

70B dense model. At FP16 (142 GB), only the H200 (141 GB) can fit it in a single GPU. At FP8 (72 GB), 2x H100 TP=2 works with headroom for 32k context KV-cache (~12 GB).

Tensor Parallelism

TP=1 on H200 (single GPU). TP=2 on H100 (2 GPUs). The 70B dense architecture benefits from NVLink for attention head partitioning.

Live Cloud Pricing for H200 SXM5

Filtered to H200 SXM5-class hardware — the recommended GPU for hosting Meta Llama 3.3 70B Instruct.

Provider	GPU & VRAM	Interconnect	Spot Rate	On-Demand	Monthly	Status	Action
Vast.ai Community	H200141GB HBM3e Llama 70B (FP8) ✅DeepSeek R1 ✅Production vLLM Cluster ✅Qwen 32B ✅	NVLink 4.0 (900 GB/s)	$2.79 / hr	$6.98 / hr	$1,707 / mo	Instant	Deploy →
Spheron Bare Metal	H200141GB HBM3e Llama 70B (FP8) ✅DeepSeek R1 ✅Production vLLM Cluster ✅Qwen 32B ✅	NVLink 4.0 (900 GB/s)	$3.19 / hr	$7.98 / hr	$1,952 / mo	Instant	Deploy →
Lambda Labs Dedicated	H200141GB HBM3e Llama 70B (FP8) ✅DeepSeek R1 ✅Production vLLM Cluster ✅Qwen 32B ✅	NVLink 4.0 (900 GB/s)	$3.99 / hr	$9.98 / hr	$2,442 / mo	Instant	Deploy →
RunPod Cloud	H200141GB HBM3e Llama 70B (FP8) ✅DeepSeek R1 ✅Production vLLM Cluster ✅Qwen 32B ✅	NVLink 4.0 (900 GB/s)	$4.31 / hr	$10.77 / hr	$2,638 / mo	Instant	Deploy →

Data Freshness: Public Cloud APIs & Market Scraping | Refreshed Daily (UTC)|Benchmark Baseline: Ubuntu 24.04, CUDA 12.4, vLLM v0.6.x, PagedAttention v2, FlashAttention-3

Production Runbook

Ready-to-deploy vLLM / SGLang launch command for Meta Llama 3.3 70B Instruct.

terminal

vllm serve meta-llama/Llama-3.3-70B-Instruct --tensor-parallel-size 1 --gpu-memory-utilization 0.95 --max-model-len 32768

Recommended GPU: H200 SXM5

Cluster Config: 1x H200 141GB (Single Node) or 2x H100 80GB

Min VRAM: 141 GB (FP16) / 72 GB (FP8)

Related hosting guides

H10

DeepSeek V2 / V2.5236B MoE (21B active)

L40

Mistral NeMo 12B12.2B Dense (128k context)

A10

Qwen 2.5 Coder 32B Instruct32.5B Dense