RTX 5090 on Salad
Visit SaladSalad provides access to the NVIDIA GeForce RTX 5090, featuring 32GB GDDR7 VRAM on the Blackwell architecture, via its decentralized cloud of consumer GPUs sourced from residential nodes. This offering stands out for enabling cost-effective access to next-generation AI hardware, targeting ML engineers running massive batch jobs or fault-tolerant inference. The RTX 5090 delivers exceptional single-GPU performance with advanced tensor cores, ray tracing, and DLSS capabilities adapted for AI workloads like fine-tuning LLMs or high-throughput inference on large models. Salad's value propositions include the lowest pricing through its peer-hosted network, per-second billing, and spot instances for dramatic savings—often 70-90% below datacenter providers. The decentralized model inherently supports fault-tolerant applications, auto-retrying failed tasks across nodes. While consumer-grade infrastructure introduces variability, it democratizes Blackwell-level compute for budget-conscious teams, making it ideal for prototyping, hyperparameter sweeps, or serving non-real-time models without enterprise premiums. Early adopters benefit from Salad's growing node pool for reliable scaling.
Why NVIDIA GeForce RTX 5090 on Salad?
Salad paired with the RTX 5090 offers unmatched economics for consumer-grade Blackwell GPUs, leveraging the provider's residential network for the lowest per-second rates and spot pricing. This combo excels for workloads matching the GPU's strengths: 32GB VRAM handles 70B+ parameter inference or LoRA fine-tuning efficiently on a single instance. Decentralized fault-tolerance auto-distributes batch jobs across nodes, minimizing downtime. No minimum commitments suit intermittent ML experimentation. Compared to datacenter H100s, it's cheaper for non-parallel tasks, with Salad's scale ensuring availability. Unique edge: residential diversity reduces correlated failures, complementing the GPU's high FP8/INT8 throughput for cost-optimized AI development.
Live Pricing
Real-time NVIDIA GeForce RTX 5090 offers from Salad
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Salad | NVIDIA GeForce RTX 5090 Laptop 24GB VRAM | 24GB | 1 vCPU 1GB RAM 1GB Storage | 🌍global | $0.23/GPU/hr | Available | ||
Salad | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 1 vCPU 1GB RAM 1GB Storage | 🌍global | $0.50/GPU/hr | Available |
Performance Notes
Expect RTX 5090 on Salad to match flagship consumer benchmarks: 30-50% faster than RTX 4090 in MLPerf inference (FP16/INT8), with 32GB VRAM enabling 100+ tokens/sec on Llama-70B via TensorRT-LLM. Blackwell's FP4 support boosts efficiency for quantized models. Network: 100Mbps-1Gbps residential variability suits batch/inference, not latency-critical apps. Storage: 100-500GB NVMe ephemeral; persistent volumes available. Multi-GPU scaling limited to single-node (rare 2x); use job queues for parallelism. Spot preemptions demand checkpointing. Full benchmarks unknown pre-release—extrapolate from 4090 data; test small jobs first for node quality.
A decentralized cloud using consumer GPUs for massive batch jobs and fault-tolerant inference.
Best For
Unique Features
- Lowest pricing via residential node network
- Decentralized consumer GPU network
VRAM
32GB
Architecture
Blackwell
Tier
consumer
Platform Features
Getting Started
Salad's dashboard makes launching RTX 5090 instances intuitive for ML workloads. Sign up, fund your account, select pre-configured images with CUDA 12.5+, and deploy in under 5 minutes. Supports Docker, SSH access, and job orchestration for seamless batch or inference pipelines.
Steps
- 1Create and verify Salad account at salad.com.
- 2Add payment method and purchase credits.
- 3Browse GPU catalog, select RTX 5090 instance.
- 4Configure image (e.g., Ubuntu/CUDA), storage, and spot/on-demand.
- 5Launch instance and connect via SSH or web console.
Pro Tips
- Opt for spot instances on batch jobs to cut costs by 70-90%; enable auto-retry in your scripts.
- Use fault-tolerant frameworks like Ray or Dask to handle residential node preemptions gracefully.
- Benchmark with vLLM or TensorRT for optimal inference perf on 32GB VRAM.
Frequently Asked Questions
What is Salad's billing model for NVIDIA GeForce RTX 5090?▾
Salad bills per-second for GPU instances including NVIDIA GeForce RTX 5090. Per-second billing ensures you only pay for exactly the compute time you use, which is particularly cost-effective for short experiments, iterative development, and workloads with variable duration.
Does Salad offer spot instances for NVIDIA GeForce RTX 5090?▾
Yes, Salad offers spot/preemptible instances for NVIDIA GeForce RTX 5090, 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.
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