Lambda alternative

GPU cloud for up to 39% less than Lambda.

Train, fine-tune and serve on 1 to 8 GPU serverless workers billed by the second, or reserve bare-metal HGX B300 and GB300 NVL72 clusters. No 16-GPU minimum, no egress fees.

From $2.45Per GPU-hour, reserved
Up to 39%Lower than Lambda on-demand
Up to 60%Lower than 1-Click Clusters, reserved
Pricing

Lambda pricing vs Runware, per GPU-hour

H100s are up to 39% cheaper on Runware than on Lambda. B200s up to 18%. On demand, with no commitment, H100s level with Lambda and B200s 10% less.

Runware vs Lambda on-demand instances
USD per GPU-hour. Lambda at the 8-GPU instance size; Runware billed by the second.
GPULambda on-demandRunware on-demandSavingRunware reservedSaving
H10080 GB
$3.99
$3.95
Within 1%
as low as$2.45
−39%
B200180 GB
$6.69
$6.00
−10%
as low as$5.49
−18%
B300280 GB
On request
$7.00
No saving to compare
as low as$3.43
No saving to compare

Prices checked 22 Oct, 2026.

Worked example

One H100 for a month, around the clock

What 730 hours on a single H100 costs per month, at the list rates in the table above. Reserve a baseline and burst above it on Serverless to land between the two Runware figures.

$2,913Lambda on-demand
$2,884Runware on-demand
$1,789Runware reserved
Committed capacity

Lambda 1-Click Cluster pricing vs Runware reserved

Lambda's 1-Click Clusters start at 16 GPUs for 2 weeks to 1 year. Reserve on Runware from one GPU and H100s are up to 60% cheaper and B200s are up to 44% cheaper than Lambda's 16-GPU tier.

Runware reserved vs Lambda 1-Click Clusters
USD per GPU-hour. Lambda's 16-GPU cluster tier on a committed term; Runware reserved from a single GPU on a 1 to 24 month term.
GPULambda 1-Click ClusterRunware on-demandSavingRunware reservedSaving
H10080 GB
$6.16
$3.95
−36%
as low as$2.45
−60%
B200180 GB
$9.86
$6.00
−39%
as low as$5.49
−44%

Prices checked 22 Oct, 2026.

Worked example

One H100 for a month, around the clock

What 730 hours on a single H100 costs per month at the rates above: Lambda's 16-GPU cluster rate against Runware on-demand and Runware reserved. Reserve a baseline and burst above it on demand to land between the two Runware figures.

$4,497Lambda 1-Click Cluster
$2,884Runware on-demand
$1,789Runware reserved
Why the rate is different

Most GPU clouds rent the DC. We ship it.

Years of land, permits and construction, then GPUs financed on top. All of that overhead ends up in the hourly rate. When the market asks whether that still adds up, it is your capacity on the line.

So we rebuilt the stack. A Sonic Pod is a complete 1 MW AI data center in a 20 ft container: built in three weeks, set on a pad where power is cheap, live in days. No hundred-acre building, no overbuilt redundancy, no cloud provider's margin in the rate. Leave Lambda and you land on infrastructure we own, run and keep building.

Facilities layer at 1 GW, GPUs excluded
Traditional build~$15B
Runware pod deployment~$150M
A Runware Sonic Pod on site: a white 20 ft container with liquid-cooling units on top, beside a solar array.
Per pod, in a 20 ft container
1 MW
Average build, live in days
3 weeks
Cheaper buildout vs traditional
100×
Why teams switch

Why our GPU cloud costs less than Lambda

Same NVIDIA GPUs, same InfiniBand, from one GPU instead of sixteen. The difference is the building: Runware designs and owns its Sonic Pod data centers, so there is no leased facility and no cloud margin in the GPU-hour.

Reserve one GPU, not sixteen.
1-Click Clusters start at 16 GPUs for 2 weeks to 1 year. Runware reserved capacity starts at one GPU for 1 to 24 months, from $2.45 per GPU-hour, and bursts above the reservation on pay as you go.
Your container, our GPUs
Whatever runs on a Lambda instance runs as a Runware Serverless app. Bring the image, choose 1 to 8 GPUs per worker, set min and max workers. Launch in minutes.
Bare metal, no hypervisor
Direct access to the GPUs, the InfiniBand fabric and local NVMe. Run your own Kubernetes or Slurm on the nodes, or take the same capacity as serverless and let Runware run it. One agreement covers both.
Non-blocking InfiniBand
Every HGX B300 node and GB300 NVL72 rack ships on an InfiniBand fabric, interconnected across pods for clusters of any size. RTX PRO 6000 nodes run on Ethernet for inference.
No egress fees, no lock-in
Single-tenant WEKA storage on all-NVMe nodes, priced per usable TB per month on the same term as the GPUs. Move data in and out freely.
Pay only while workers run
Serverless meters by the second while a worker holds a GPU. Scale to zero when idle, back up when traffic arrives. Snapshotting keeps cold starts short.

Moving from Lambda

Nothing to port. Your Kubernetes or Slurm runs on our bare metal as is. The containers you serve become Serverless apps. Storage moves to WEKA.

  • Instance, 1x to 8x H100 or B200Serverless worker, 1 to 8 GPUs

    Same container, billed by the second, scales to zero.

  • 1-Click Cluster, 16 to 2,000+ GPUsReserved Serverless, or bare metal

    Reserve the baseline from one GPU, or take HGX B300 nodes with InfiniBand and run your own scheduler.

  • Supercluster, GB300 NVL72GB300 NVL72 rack on Sonic Pods

    72 GPUs, InfiniBand between racks, your stack on top. Allocating now.

No trainingOn your data
SSO + SAMLEnterprise auth
SOC 2Certified
ISO 27001Certified
GDPRCompliant
24/7Engineering support

Teams that switched and scaled

Lower bill, no GPU platform to run. Here's what moving to Runware looked like for teams shipping at production scale.

HeyGen product interface preview
HeyGen logo

HeyGen

How a leading AI video platform unlocked new product capabilities by replacing expensive managed providers with a single, cost-effective inference API.

OpenArt case study preview
OpenArt logo

OpenArt

How OpenArt achieved sub-second image generation at scale with Runware's Sonic Engine.

Higgsfield case study preview
Higgsfield logo

Higgsfield AI

How a fast-growing video generation startup deployed a major model release in hours.

NightCafe case study preview
NightCafe logo

NightCafe

How NightCafe scaled their AI art community without hiring a single infrastructure engineer.

Are running with us
FAQ

Lambda alternative, answered

Yes. Lambda sells self-serve instances, 1-Click Clusters on Quantum-2 InfiniBand with managed Kubernetes or Slurm, and GB300 NVL72 Superclusters. We sell serverless GPU compute from one GPU, billed by the second, and bare-metal nodes and clusters, on data centers we build ourselves. Same hardware, different building, lower rate.

On demand, Runware is 1 to 10% cheaper than Lambda across the 2 GPUs both price; reserved, 18 to 39%. An H100 is $3.99 per GPU-hour on Lambda, $3.95 on Runware on demand and $2.45 reserved. Lambda's figures are from its 8x instance rates, the lowest it lists, checked 22 Oct, 2026. Runware's are the Serverless rate card, billed by the second.

On the 16-GPU tier an H100 is $6.16 per GPU-hour on Lambda. Reserved on Runware it is $2.45, 60% less, from one GPU. Bigger Lambda tiers cost less per GPU and anything over a year is a quote, so for a long-term cluster compare a bare-metal reservation on GPU Compute instead.

On bare metal, yes. On Serverless, no. A Serverless worker is an app version we run for you: no shell, no state between workers, weights loaded once per worker. If the job needs the machine itself, with SSH, a parallel file system and your own stack, reserve bare metal.

Yes, on bare metal. Run the stack you run on Lambda today on our GPU nodes and clusters, with InfiniBand on B300 and NVL72. Serverless is the other option: we run the workload, so there is no shell into a worker. See GPU Compute.

Serverless: reserve a number of GPUs of one type for one to 24 months. They stay yours when the shared pool is full, and anything above the reservation runs on pay as you go. Bare metal: two, three or four year terms, priced by upfront share, confirmed when the order is signed. Hardware, software, support, power and operations are all included.

Serverless runs in us-east, us-west, eu-west and eu-central. Bare metal sits on Sonic Pod sites across four US and five European locations, and you choose the site when you reserve. See Sonic Pods.

Reserved capacity

Running a cluster? Talk to us about reserved capacity.

Reserve serverless capacity from one GPU at $2.45 per GPU-hour for 1 to 24 months, or talk to an engineer about bare-metal HGX B300 and GB300 NVL72 clusters: hardware, site, term and delivery date.