Instances›AWS EC2›g3›g3.4xlarge
Compute
vCPUs16
Memory122 GiB
Mem / vCPU7.63 GiB
ProcessorXeon E5-2686 v4
Clock speed2.3 GHz
Architecturex86_64
Storage
TypeEBS only
BandwidthN/A
ThroughputN/A
IOPS0
Networking
PerformanceUp to 10 Gigabit
Max ENIsN/A
IPv6Yes
GPUNVIDIA Tesla M60
Family sizes
g3.4xlarge16 vCPU · 122 GiB
g3.8xlarge32 vCPU · 244 GiB
g3.16xlarge64 vCPU · 488 GiB
g3.4xlarge

The g3.4xlarge pairs 16 vCPU with 122 GiB of RAM, the 7.63 GiB-per-vCPU ratio that marks a GPU instance. In the name, "g" is graphics, "3" is the generation and "4xlarge" is the size within the g3 family. It runs on Intel Xeon E5-2686 v4 (Broadwell) at 2.3 GHz, and AWS introduced it in July 2017. AWS has since shipped g4ad, g5, g6 and g7; g4ad.4xlarge is the direct replacement at this size. Rackspace Spot runs one GPU class, gpu.vs2.xlargeplusplus — a single NVIDIA A30 with 24 vCPU and 64 GiB, in San Jose only. Against this instance's 1 × NVIDIA Tesla M60 that is a fair swap for inference and media work — the A30 carries more memory and more throughput per card — and it prices about 88% below the US West (N. California) on-demand rate.

Match qualityComparable GPU

g3.4xlarge pairs 1 GPU (8 GiB VRAM) with 16 vCPU. Spot's GPU node uses the NVIDIA A30 (Ampere, 24 GB VRAM) with 24 vCPU and 64 GiB of memory — more GPU memory, more CPU and newer hardware than g3.4xlarge. For inference, batch transcoding and single-card fine-tuning that is an upgrade rather than a compromise. The catch is location rather than hardware: US West, San Jose is the only Spot region that offers it, so latency to your users and egress to your data are the things to check.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US West, San Jose$1.534$0.191
$1.343 savings
When to use it
Good for
  • ●CUDA-accelerated batch jobs
  • ●Model inference and embedding generation
  • ●Video transcoding and image processing
  • ●Workloads that fit inside 122 GiB of RAM
  • ●Parallel work that can occupy 16 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 10 Gigabit
Avoid if
  • ●Starting a new deployment. g4ad.4xlarge is the newer generation at this size.
  • ●The working set needs more than 122 GiB of RAM
  • ●Anything the CPU can do fast enough. GPU hours are the most expensive on the price list.
  • ●More than 7.63 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
  • ●The work is single-threaded. Most of these 16 vCPU would sit idle.
  • ●Local NVMe or instance-store disk is a hard requirement
$1,120/mo on AWS on-demand against $139/mo on Rackspace Spot for the equivalent — market-priced, not list-priced.
  • Spot sells spare capacity at market prices. It is the cheapest compute on the internet.
  • Prices are set by supply and demand. You pay what the market decides.
  • Compute is delivered as fully managed Kubernetes. All infrastructure is taken care of.
  • Egress costs $0.01/GB after the free allowance. AWS charges $0.09/GB.
Build your Cloudspace
Frequently asked questions