A100 PCIe 80GB on ThunderCompute
Visit ThunderComputeThunderCompute provides access to the NVIDIA A100 PCIe 80GB, an enterprise-tier GPU with 80GB HBM2e VRAM on the Ampere architecture, optimized for AI training, inference, data analytics, and HPC workloads. This offering stands out due to ThunderCompute's developer-centric focus, featuring a dedicated VS Code extension for seamless remote development. Targeted at ML engineers and data scientists who rely on VS Code, it eliminates setup friction, enabling instant GPU acceleration from familiar tools. Key value propositions include per-minute billing for cost-effective, on-demand usage—ideal for bursty experimentation or prototyping—and high VRAM capacity for handling large language models or complex simulations without out-of-memory issues. While PCIe form factor may limit interconnect speeds compared to SXM variants, the combination prioritizes accessibility and productivity, making it noteworthy for remote teams seeking reliable enterprise compute without vendor lock-in or steep learning curves. Limitations include potentially variable multi-GPU scaling depending on instance configurations.
Why NVIDIA A100 PCIe 80GB on ThunderCompute?
Choose ThunderCompute for the A100 PCIe 80GB if remote development in VS Code is central to your workflow. The provider's unique dedicated VS Code extension enables one-click connections, browser-based terminals, and file syncing, complementing the GPU's 80GB VRAM for memory-intensive tasks like fine-tuning LLMs or processing massive datasets. Per-minute billing minimizes costs for intermittent use, unlike hourly models, suiting prototyping or overnight jobs. ThunderCompute's infrastructure emphasizes low-latency UX over raw scale, pairing well with the PCIe A100's balanced performance for single-GPU dominance. This avoids the complexity of general cloud providers, offering ML engineers a streamlined path to enterprise power without DevOps overhead.
Live Pricing
Real-time NVIDIA A100 PCIe 80GB offers from ThunderCompute
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 ThunderCompute | NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 4 vCPU 32GB RAM 100GB Storage | United States | $0.78/GPU/hr | Sold Out | ||
ThunderCompute | NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 4 vCPU 32GB RAM 100GB Storage | United States | $1.09/GPU/hr | Available | ||
ThunderCompute | 2×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 8 vCPU 64GB RAM 100GB Storage | United States | $1.09/GPU/hr $2.18/hr total (2×) | Available | ||
ThunderCompute | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 16 vCPU 128GB RAM 100GB Storage | United States | $1.49/GPU/hr $5.96/hr total (4×) | Available | ||
ThunderCompute | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 32 vCPU 256GB RAM 100GB Storage | United States | $1.49/GPU/hr $11.92/hr total (8×) | Available |
Performance Notes
Expect standard NVIDIA A100 PCIe 80GB benchmarks: up to 19.5 TFLOPS FP64, 312 TFLOPS FP16 with Tensor Cores, and 2 TB/s memory bandwidth, excelling in Transformer models and large-batch training. ThunderCompute's network bandwidth and storage options are not publicly detailed, so inter-instance scaling may vary; assume standard data center NVLink limitations for PCIe (no NVSwitch). Multi-GPU setups likely support basic scaling via PCIe, but efficiency for 8x configs is unknown—test for your workload. Storage is SSD/NVMe probable, with fast local scratch for checkpoints. Honest caveat: provider-specific benchmarks are sparse; validate with short runs for your use case.
A provider focused on developer UX with seamless remote development tools.
Best For
Unique Features
- Dedicated VS Code extension
VRAM
80GB
Architecture
Ampere
Tier
enterprise
Platform Features
Getting Started
Getting started with ThunderCompute's NVIDIA A100 PCIe 80GB is straightforward, leveraging their VS Code-focused tools for quick remote access. Sign up, launch via dashboard or extension, and connect seamlessly to run ML workloads with minimal setup.
Steps
- 1Create a ThunderCompute account and add payment details for per-minute billing.
- 2Install the official ThunderCompute VS Code extension from the marketplace.
- 3In VS Code or dashboard, select NVIDIA A100 PCIe 80GB instance type and launch.
- 4Connect VS Code to the running instance using the extension's one-click remote-SSH.
- 5Pre-install CUDA/Docker images if needed, then load your models and execute jobs.
Pro Tips
- Leverage per-minute billing by stopping instances post-job to avoid idle costs during experimentation.
- Use the VS Code extension for live file editing and debugging directly on the GPU node.
- Pre-configure Jupyter or SSH keys in the dashboard for faster multi-session workflows.
Frequently Asked Questions
What is ThunderCompute's billing model for NVIDIA A100 PCIe 80GB?▾
ThunderCompute bills per-minute for GPU instances including NVIDIA A100 PCIe 80GB. Check their pricing page for the most current billing details.
Does ThunderCompute offer spot instances for NVIDIA A100 PCIe 80GB?▾
No, ThunderCompute does not currently offer spot instances for NVIDIA A100 PCIe 80GB. All instances are billed at on-demand rates. Consider their pricing structure carefully for cost-sensitive workloads.
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