Network-attach and pool your GPUs with just software

Juice enables GPU-over-IP. With a quick software install, your GPUs become remote virtual resources: pooled, shared, and accessible by AI and graphics workloads.

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Ephemeral Compute for AI and Graphics

Juice's GPU-over-IP technology enables seamless, on-the-fly access to your GPUs wherever your applications require them, without any code modifications.

Ephemeral Compute for AI and Graphics

Juice's GPU-over-IP technology enables seamless, on-the-fly access to your GPUs wherever your applications require them, without any code modifications.

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Remote GPU

Free flowing compute across networks

Our software enables a new computing substrate where accelerated compute flows over networks like electricity flows over the grid.

Access GPUs anywhere
Your application hosts can tap into your GPUs from anywhere, over existing standard networks. No changes to your applications or hardware.
Seamless GPU Sharing
Share GPUs with multiple application hosts remotely and allocate dynamically. Keep your applications fed and your GPUs near 100% utilization.
Enable intelligence across your networks
Let AI flow across your org. Make your network smarter.
Capabilities

GPU flexibility from workstation to edge to cloud

Our dynamic sharing and pooling software gives any GPU-accelerated workload direct remote access to any GPU capacity on any network.

Access any GPU, anywhere, over standard networking

Attach acceleration instantly, just when you need it

Adapt and re-balance compute resources dynamically

Juice Cases

They said it couldn't be done.
‍We’re doing it.

We’re helping global enterprise and Fortune 100 companies access accelerated computing within their networks.

Orchestrate, without k8s.

One of the top 10 technical universities in the world is using Juice in their supercluster for dynamic GPU scheduling, GPU pooling, GPU fractionation - without the need for Kubernetes.

Turn any CPU-only node into a GPU node, on the fly - even cross-cloud.

A top digital infrastructure company that serves all the major clouds is using Juice to route GPU capacity from anywhere it is more abundant to anywhere it is scarce.

Pool and share GPU capacity across a team, a department, or an entire company.

A Fortune 100 workstation manufacturer is enabling its customers' data scientists to run AI workloads dynamically across Juice-powered distributed GPU networks.

Experience GPU-over-IP

Activate your GPUs. Network-attached, remote, virtual, pooled, and shared - your GPUs have never been this powerful.

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"Juice is a complete game changer for us. Being able to connect to remote GPU natively and share resources across workloads allows for massive savings and innovative new deployments."

Thomas
Ubisoft

"We see a great opportunity to partner on achieving our longer-term objectives related to end-user computing and the paradigm shift of AI… We are impressed by the technological advancements [Juice] has achieved in the computing space."

Jarrett Simerson
CTO & SVP, Dell Client Solutions

"We see immediate benefit… not only in terms of GPU utilization, but in terms of how we build out resources and design from the storage layer to the GPU layer."

Chris Simmons
CSO, Cambridge Computing

"We believe Juice Labs will unlock the potential of Private AI on a global scale"

Equinix

"Like my brain, I still can't comprehend how it works so well"

 Max Taranov
IT Engineer
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Adapts resources based on your workload
Super-flexible virtualisation does everything from sharing 1 powerful GPU across many systems, to aggregating many GPUs into virtual nodes and clusters
Instant power when you need it
Dynamically flex GPU acceleration - instantly burst to more powerful GPU (and just as quickly, release it), from Endpoint through Edge through Cloud
Utilise any GPU on your network, from anywhere
Any system can connect to a remote GPU virtually, and use it as though it were local.