Skip to content
HQ
HardwareHQ
GPUsModelsCloud Pricing
← Back to Models
DeepSeekmoe

DeepSeek Coder V2 16B

16B parameters • 8.8GB VRAM (Q4) • 128,000 context

Specifications

Parameters
16B
VRAM (Q4)
8.8 GB
VRAM (FP16)
32 GB
Context Window
128,000
Architecture
moe
License
Apache-2.0
Finding cloud alternatives...

Run DeepSeek Coder V2 16B on RTX 3080

~8.8GB VRAM needed at Q4. RTX 3080 has 10GB — buy hardware or rent cloud.

AmazoneBayCompare cloud prices

We may earn a commission from cloud and hardware partners at no extra cost to you.

Find the cheapest GPU that can run DeepSeek Coder V2 16B
Compatibility Lab — check every GPU × quantization combination
→

Run DeepSeek Coder V2 16B on...

NVIDIA GB200 NVL72✅ FitsGB200 NVL72✅ FitsNVIDIA DGX H100✅ FitsAWS EC2 P5 Instance (8x H100)✅ FitsAzure ND H100 v5 (8x H100)✅ FitsGoogle Cloud A3 (8x H100)✅ Fits
VRAM Calculator→GPU Comparison→Cloud GPU Pricing→

Explore more

VRAM Calculator

Check GPU compatibility for any AI model

Cloud GPU Pricing

Compare pricing across 24+ providers

GPU Comparison

Side-by-side GPU specs and benchmarks

Compatibility Lab

GPU × Model compatibility matrix

HQ
HardwareHQ

Free AI hardware database and decision tools — compare GPUs, check model fit, and track live cloud pricing.

Database

  • GPU Database
  • AI Model Database
  • GPU Comparison
  • Compatibility Matrix
  • AI Benchmarks
  • Model Finder

Market & Pricing

  • Cloud GPU Pricing
  • Buy vs Rent
  • Inference Calculator
  • Training Calculator
  • VRAM Calculator

Planning Studios

  • Research Studio
  • RAG Studio
  • Creative Studio
  • Coding Studio
  • Edge AI Studio
  • Hardware Architect
  • Topology Lab

Reference & Guides

  • LLM Requirements
  • Quantization Guide
  • Best GPU for LLaMA
  • Best GPU for DeepSeek
  • AI Homelab Guide

Company

  • About
  • Contact
  • Advertise
  • Privacy Policy
  • Terms of Service

© 2026 HardwareHQ. All rights reserved.

@HardwareHQio