JarvisLabs80GB VRAMAmpereenterprise

A100 PCIe 80GB on JarvisLabs

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JarvisLabs offers the NVIDIA A100 PCIe 80GB, a powerhouse GPU with 80GB of HBM2e VRAM, tailored for demanding AI, machine learning, and HPC workloads on its developer-centric platform. This Ampere architecture GPU delivers exceptional tensor core performance, enabling efficient training of large language models, high-resolution image generation, and complex simulations that exceed the capabilities of consumer-grade hardware. JarvisLabs stands out with its extreme simplicity—ideal for students, fast.ai learners, and hobbyists—providing one-click Jupyter environments and a unique pause functionality that halts compute billing while preserving storage and data. Per-minute billing and spot instances further enhance cost-effectiveness for experimentation. This combination democratizes access to enterprise-tier GPUs, allowing ML engineers to scale prototypes rapidly without infrastructure overhead. While PCIe form factor may slightly trail SXM variants in multi-GPU bandwidth, the 80GB VRAM unlocks massive batch sizes and model parallelism, making it a compelling choice for cost-conscious innovation.

Why NVIDIA A100 PCIe 80GB on JarvisLabs?

Choosing JarvisLabs for the NVIDIA A100 PCIe 80GB leverages the provider's focus on simplicity and affordability, perfectly suiting intermittent AI experimentation. The pause feature stops compute charges instantly—preserving Jupyter notebooks and data—ideal for students or devs with variable schedules, unlike always-on clouds. One-click Jupyter setups eliminate DevOps hassles, letting users focus on ML. Per-minute billing and spot instances minimize costs for bursty workloads, complementing the A100's high VRAM for loading enormous models without swapping. This setup excels for fast.ai courses or prototyping LLMs, offering enterprise performance at hobbyist prices without long-term commitments.

Live Pricing

Real-time NVIDIA A100 PCIe 80GB offers from JarvisLabs

1 listed, none in stock
JarvisLabs
JarvisLabs
🌍Global
NVIDIA A100 PCIe 80GB
80GB VRAM
16 vCPU
40GB RAM
$0.89/GPU/hr

Performance Notes

On JarvisLabs, the A100 PCIe 80GB delivers flagship Ampere performance: up to 19.5 TFLOPS FP64, 312 TFLOPS TF32, and 2,496 GB/s memory bandwidth, excelling in transformer training and inference. Expect strong single-GPU results for models up to 80GB (e.g., full Llama 70B fine-tuning). Multi-GPU scaling is supported via NVLink or InfiniBand (provider specifics unconfirmed; assume standard PCIe limits ~100-200 Gb/s interconnect). NVMe storage options enable fast data loading. Network bandwidth suits collaborative workflows but may lag hyperscalers for exascale training—verify via benchmarks. Pause/resume ensures consistent perf post-idle without cold starts.

About JarvisLabs

A developer and hobbyist-focused provider emphasizing extreme simplicity for AI workloads.

Best For

Students and fast.ai learnersCost-effective experimentation

Unique Features

  • Pause functionality to stop compute billing while preserving storage
  • One-click Jupyter environments
NVIDIA A100 PCIe 80GB Specs

VRAM

80GB

Architecture

Ampere

Tier

enterprise

Platform Features

Access Methods
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers
Billing Options
Incrementper-minute
Spot Instances
Reserved Instances
Prepaid Credits
Compliance
SOC 2
HIPAA
GDPR
ISO 27001

Getting Started

JarvisLabs makes spinning up an NVIDIA A100 PCIe 80GB instance effortless, with a web dashboard for one-click launches. New users can start experimenting in minutes via JupyterLab, leveraging pre-configured ML environments like PyTorch or TensorFlow.

Steps

  1. 1Sign up for a free JarvisLabs account and add payment details for billing.
  2. 2Navigate to 'Create Instance' and select NVIDIA A100 PCIe 80GB configuration.
  3. 3Choose JupyterLab template, storage size, and spot/on-demand pricing.
  4. 4Click 'Launch'—access your instance via provided URL in under 2 minutes.
  5. 5Pause instance when idle to save costs while keeping data intact.

Pro Tips

  • Opt for spot instances during low-demand periods for up to 50-70% savings on A100 rentals.
  • Use the pause feature aggressively for overnight experiments to minimize per-minute bills.
  • Pre-load datasets to attached storage before training to avoid ingress fees and speed up workflows.

Frequently Asked Questions

What is JarvisLabs's billing model for NVIDIA A100 PCIe 80GB?▾

JarvisLabs bills per-minute for GPU instances including NVIDIA A100 PCIe 80GB. Check their pricing page for the most current billing details.

Does JarvisLabs offer spot instances for NVIDIA A100 PCIe 80GB?▾

Yes, JarvisLabs offers spot/preemptible instances for NVIDIA A100 PCIe 80GB, which can reduce costs by 50-80% compared to on-demand pricing. Spot instances are ideal for fault-tolerant workloads like batch inference, hyperparameter tuning, and training jobs with checkpointing. Note that spot instances can be interrupted when demand is high, so ensure your workflow can handle preemption gracefully.

Related Pages

Compare A100 PCIe 80GB Across Providers

The A100 PCIe 80GB is available from 13 providers on GPUPerHour. Here is how other providers compare:

For a full comparison across all providers, see the A100 PCIe 80GB rental page. See all GPUs on JarvisLabs.