29:null 2a:["$","title",null,{"children":"Cloud GPUs for Deep Learning: Availability& Price / Performance | AIMultiple | Observable"}] 2f:T87b,{ const svg = d3.select(DOM.svg(1200, 600)); const margin = { top: 80, right: 60, bottom: 60, left: 250 }; const width = +svg.attr("width") - margin.left - margin.right; const height = +svg.attr("height") - margin.top - margin.bottom; const x = d3.scaleLinear().domain([0, 2]).range([0, width]); const y = d3 .scaleBand() .domain(dataComparison.map((d) => d.GPU)) .range([height, 0]) .padding(0.1); const sortedData = dataComparison.sort((a, b) => a.Rank - b.Rank); svg .selectAll("circle") .data(sortedData) .enter() .append("circle") .attr("cx", (d) => x(d.Price) + margin.left) .attr("cy", (d) => y(d.GPU) + margin.top + 10) .attr("r", 5) .attr("fill", "blue") .attr("stroke", "white") .attr("stroke-width", 1); svg .append("g") .attr("class", "x axis") .attr("transform", `translate(${margin.left},${height + margin.top})`) .call(d3.axisBottom(x).tickFormat(d3.format(".1f"))) .attr("font-size", "14px") .append("text") .attr("class", "label") .attr("x", width / 2) .attr("y", 40) .attr("fill", "#000") .attr("text-anchor", "middle") .attr("font-size", "16px") .attr("font-weight", "bold") .attr("font-family", fontFamily) .text("Price ($/hr)"); svg .selectAll("text.vendor") .data(sortedData) .enter() .append("text") .attr("class", "vendor") .attr("x", (d) => x(d.Price) + margin.left + 10) .attr("y", (d) => y(d.GPU) + margin.top + 14) .text((d) => d.Vendor) .attr("font-size", "14px") .attr("fill", "black") .attr("font-family", fontFamily); svg .append("g") .attr("class", "y axis") .attr("transform", `translate(${margin.left},${margin.top})`) .call(d3.axisLeft(y)) .attr("font-size", "14px") .attr("font-weight", "bold") .append("text") .attr("class", "label") .attr("transform", "rotate(0)") .attr("y", -20) .attr("x", -30) .attr("fill", "#000") .attr("text-anchor", "start") .attr("font-size", "16px") .attr("font-weight", "bold") .attr("font-family", fontFamily) .text("GPU"); return svg.node(); }30:T1093,{ const svg = d3.select(DOM.svg(1200, 600)); const margin = { top: 80, right: 60, bottom: 60, left: 100 }; const width = +svg.attr("width") - margin.left - margin.right; const height = +svg.attr("height") - margin.top - margin.bottom; const uniqueDataCloudGPU = Array.from( d3.group(dataCloudGPU, (d) => d["On-demand $"]), ([price, clouds]) => ({ price, cloudNames: clouds.map((c) => c.Cloud).join(", "), numGPUs: clouds[0]["# of GPUs"] }) ); const x = d3 .scaleLinear() .domain([0, d3.max(dataCloudGPU, (d) => d["On-demand $"])]) .range([0, width]); const y = d3 .scaleBand() .domain(dataCloudGPU.map((d) => d["# of GPUs"])) .range([height, 0]) .padding(0.1); const color = d3 .scaleOrdinal() .domain(dataCloudGPU.map((d) => d["GPU / Memory"])) .range(["purple", "red", "blue", "green"]); const sortedData = dataCloudGPU.sort( (a, b) => a["# of GPUs"] - b["# of GPUs"] ); const tooltip = d3 .select("body") .append("div") .style("position", "absolute") .style("background-color", "white") .style("border", "1px solid black") .style("padding", "5px") .style("border-radius", "5px") .style("opacity", 0); const circles = svg .selectAll("circle") .data(sortedData) .enter() .append("circle") .attr("cx", (d) => x(d["On-demand $"]) + margin.left) .attr( "cy", (d) => y(d["# of GPUs"]) + margin.top + y.bandwidth() / 2 ) .attr("r", 10) .attr("fill", (d) => color(d["GPU / Memory"])) .attr("stroke", "white") .attr("stroke-width", 1) .on("mouseover", function (event, d) { const hoveredColor = color(d["GPU / Memory"]); tooltip.transition().duration(200).style("opacity", 0.9); tooltip.html(`Cloud: ${d.Cloud}
On-demand Price: $${d["On-demand $"]}
# of GPUs: ${d["# of GPUs"]}
Throughput: ${d.Throughput}
Throughput Cost: $${d["Throughput/$"]}`) .style("left", (event.pageX + 5) + "px") .style("top", (event.pageY - 28) + "px"); circles .transition() .duration(200) .attr("opacity", function (d) { return color(d["GPU / Memory"]) === hoveredColor ? 1 : 0.2; }); }) .on("mouseout", function () { tooltip.transition().duration(200).style("opacity", 0); circles.transition().duration(200).attr("opacity", 1); }); svg .selectAll("text") .data(uniqueDataCloudGPU) .enter() .append("text") .attr("x", (d) => x(d.price) + margin.left) .attr("y", (d, i) => { const offset = i % 2 === 0 ? 30 : -20; return y(d.numGPUs + " GPUs") + margin.top + y.bandwidth() / 2 + offset; }) .attr("text-anchor", "middle") .text((d) => `${d.cloudNames}`) .attr("font-size", "8px") .attr("fill", "black"); svg .append("g") .attr("class", "x axis") .attr("transform", `translate(${margin.left},${height + margin.top})`) .call(d3.axisBottom(x).tickFormat(d3.format(".2f"))) .attr("font-size", "14px") .append("text") .attr("class", "label") .attr("x", width / 2) .attr("y", 40) .attr("fill", "#000") .attr("text-anchor", "middle") .attr("font-size", "16px") .attr("font-weight", "bold") .attr("font-family", fontFamily) .text("Price ($/hr)"); svg .append("g") .attr("class", "y axis") .attr("transform", `translate(${margin.left},${margin.top})`) .call(d3.axisLeft(y)) .attr("font-size", "14px") .attr("font-weight", "bold") .append("text") .attr("class", "label") .attr("transform", "rotate(0)") .attr("y", -20) .attr("x", 0) .attr("fill", "#000") .attr("text-anchor", "end") .attr("font-size", "16px") .attr("font-weight", "bold") .attr("font-family", fontFamily) .text("# of GPUs"); const legend = svg .append("g") .attr("class", "legend") .attr("transform", `translate(${margin.left},${margin.top - 40})`); const legendSize = 20; const legendSpacing = 120; color.domain().forEach((key, i) => { legend .append("circle") .attr("cx", -60 + i * legendSpacing) .attr("cy", -30) .attr("r", 10) .attr("fill", color(key)); legend .append("text") .attr("x", -67 + (i * legendSpacing + legendSize + 5)) .attr("y", -25) .attr("font-size", "14px") .attr("fill", "black") .attr("font-family", fontFamily) .text(key); }); return svg.node(); }31:Tfc6,{ const svg = d3.select(DOM.svg(1200, 600)); const margin = { top: 80, right: 60, bottom: 60, left: 100 }; const width = +svg.attr("width") - margin.left - margin.right; const height = +svg.attr("height") - margin.top - margin.bottom; const uniqueDataCloudGPU = Array.from( d3.group(dataCloudGPU, (d) => d["On-demand $"]), ([price, clouds]) => ({ price, cloudNames: clouds.map((c) => c.Cloud).join(", "), numGPUs: clouds[0]["# of GPUs"] }) ); const x = d3 .scaleLinear() .domain([0, d3.max(dataCloudGPU, (d) => d["On-demand $"])]) .range([0, width]); const y = d3 .scaleLinear() .domain([0, d3.max(dataCloudGPU, (d) => d["Throughput"])]) .range([height, 0]); const color = d3 .scaleOrdinal() .domain(dataCloudGPU.map((d) => d["GPU / Memory"])) .range(["purple", "red", "blue", "green"]); const sortedData = dataCloudGPU const tooltip = d3 .select("body") .append("div") .style("position", "absolute") .style("background-color", "white") .style("border", "1px solid black") .style("padding", "5px") .style("border-radius", "5px") .style("opacity", 0); const circles = svg .selectAll("circle") .data(sortedData) .enter() .append("circle") .attr("cx", (d) => x(d["On-demand $"]) + margin.left) .attr("cy", (d) => y(d["Throughput"]) + margin.top) .attr("r", (d)=> d["# of GPUs"]*5) .attr("fill", (d) => color(d["GPU / Memory"])) .attr("stroke", "white") .attr("stroke-width", 1) .on("mouseover", function (event, d) { const hoveredColor = color(d["GPU / Memory"]); tooltip.transition().duration(200).style("opacity", 0.9); tooltip .html( `Cloud: ${d.Cloud}
On-demand Price: $${d["On-demand $"]}
# of GPUs: ${d["# of GPUs"]}
Throughput: ${d.Throughput}
Throughput Cost: $${d["Throughput/$"]}` ) .style("left", event.pageX + 5 + "px") .style("top", event.pageY - 28 + "px"); circles .transition() .duration(200) .attr("opacity", function (d) { return color(d["GPU / Memory"]) === hoveredColor ? 1 : 0.2; }); }) .on("mouseout", function () { tooltip.transition().duration(200).style("opacity", 0); circles.transition().duration(200).attr("opacity", 1); }); svg .append("g") .attr("class", "x axis") .attr("transform", `translate(${margin.left},${height + margin.top})`) .call(d3.axisBottom(x).tickFormat(d3.format(".2f"))) .attr("font-size", "14px") .append("text") .attr("class", "label") .attr("x", width / 2) .attr("y", 40) .attr("fill", "#000") .attr("text-anchor", "middle") .attr("font-size", "16px") .attr("font-weight", "bold") .attr("font-family", fontFamily) .text("Price ($/hr)"); svg .append("g") .attr("class", "y axis") .attr("transform", `translate(${margin.left},${margin.top})`) .call(d3.axisLeft(y)) .attr("font-size", "14px") .attr("font-weight", "bold") .append("text") .attr("class", "label") .attr("transform", "rotate(0)") .attr("y", -20) .attr("x", 0) .attr("fill", "#000") .attr("text-anchor", "end") .attr("font-size", "16px") .attr("font-weight", "bold") .attr("font-family", fontFamily) .text("Throughput"); const legend = svg .append("g") .attr("class", "legend") .attr("transform", `translate(${margin.left},${margin.top - 40})`); const legendSize = 20; const legendSpacing = 120; color.domain().forEach((key, i) => { legend .append("circle") .attr("cx", -60 + i * legendSpacing) .attr("cy", -30) .attr("r", 10) .attr("fill", color(key)); legend .append("text") .attr("x", -67 + (i * legendSpacing + legendSize + 5)) .attr("y", -25) .attr("font-size", "14px") .attr("fill", "black") .attr("font-family", fontFamily) .text(key); }); return svg.node(); }32:Tfcc,{ const svg = d3.select(DOM.svg(1200, 600)); const margin = { top: 80, right: 60, bottom: 60, left: 100 }; const width = +svg.attr("width") - margin.left - margin.right; const height = +svg.attr("height") - margin.top - margin.bottom; const uniqueDataCloudGPU = Array.from( d3.group(dataCloudGPU, (d) => d["On-demand $"]), ([price, clouds]) => ({ price, cloudNames: clouds.map((c) => c.Cloud).join(", "), numGPUs: clouds[0]["# of GPUs"] }) ); const x = d3 .scaleLinear() .domain([0, d3.max(dataCloudGPU, (d) => d["On-demand $"])]) .range([0, width]); const y = d3 .scaleLinear() .domain([0, d3.max(dataCloudGPU, (d) => d["Throughput/$"])]) .range([height, 0]); const color = d3 .scaleOrdinal() .domain(dataCloudGPU.map((d) => d["GPU / Memory"])) .range(["purple", "red", "blue", "green"]); const sortedData = dataCloudGPU const tooltip = d3 .select("body") .append("div") .style("position", "absolute") .style("background-color", "white") .style("border", "1px solid black") .style("padding", "5px") .style("border-radius", "5px") .style("opacity", 0); const circles = svg .selectAll("circle") .data(sortedData) .enter() .append("circle") .attr("cx", (d) => x(d["On-demand $"]) + margin.left) .attr("cy", (d) => y(d["Throughput/$"]) + margin.top) .attr("r", (d)=> d["# of GPUs"]*5) .attr("fill", (d) => color(d["GPU / Memory"])) .attr("stroke", "white") .attr("stroke-width", 1) .on("mouseover", function (event, d) { const hoveredColor = color(d["GPU / Memory"]); tooltip.transition().duration(200).style("opacity", 0.9); tooltip .html( `Cloud: ${d.Cloud}
On-demand Price: $${d["On-demand $"]}
# of GPUs: ${d["# of GPUs"]}
Throughput: ${d.Throughput}
Throughput Cost: $${d["Throughput/$"]}` ) .style("left", event.pageX + 5 + "px") .style("top", event.pageY - 28 + "px"); circles .transition() .duration(200) .attr("opacity", function (d) { return color(d["GPU / Memory"]) === hoveredColor ? 1 : 0.2; }); }) .on("mouseout", function () { tooltip.transition().duration(200).style("opacity", 0); circles.transition().duration(200).attr("opacity", 1); }); svg .append("g") .attr("class", "x axis") .attr("transform", `translate(${margin.left},${height + margin.top})`) .call(d3.axisBottom(x).tickFormat(d3.format(".2f"))) .attr("font-size", "14px") .append("text") .attr("class", "label") .attr("x", width / 2) .attr("y", 40) .attr("fill", "#000") .attr("text-anchor", "middle") .attr("font-size", "16px") .attr("font-weight", "bold") .attr("font-family", fontFamily) .text("Price ($/hr)"); svg .append("g") .attr("class", "y axis") .attr("transform", `translate(${margin.left},${margin.top})`) .call(d3.axisLeft(y)) .attr("font-size", "14px") .attr("font-weight", "bold") .append("text") .attr("class", "label") .attr("transform", "rotate(0)") .attr("y", -20) .attr("x", 0) .attr("fill", "#000") .attr("text-anchor", "end") .attr("font-size", "16px") .attr("font-weight", "bold") .attr("font-family", fontFamily) .text("Throughput $"); const legend = svg .append("g") .attr("class", "legend") .attr("transform", `translate(${margin.left},${margin.top - 40})`); const legendSize = 20; const legendSpacing = 120; color.domain().forEach((key, i) => { legend .append("circle") .attr("cx", -60 + i * legendSpacing) .attr("cy", -30) .attr("r", 10) .attr("fill", color(key)); legend .append("text") .attr("x", -67 + (i * legendSpacing + legendSize + 5)) .attr("y", -25) .attr("font-size", "14px") .attr("fill", "black") .attr("font-family", fontFamily) .text(key); }); return svg.node(); }33:Tcf0,{ const svg = d3.select(DOM.svg(1200, 600)); const margin = { top: 80, right: 60, bottom: 60, left: 250 }; const width = +svg.attr("width") - margin.left - margin.right; const height = +svg.attr("height") - margin.top - margin.bottom; const x = d3 .scaleLinear() .domain([0, d3.max(dataCloudGPU, (d) => d["On-demand $"])]) .range([0, width]); const y = d3 .scaleBand() .domain( dataCloudGPU.map( (d) => d["GPU / Memory"] + " / " + d["# of GPUs"] + " GPUs" ) ) .range([height, 0]) .padding(0.1); const color = d3 .scaleOrdinal() .domain(dataCloudGPU.map((d) => d["GPU / Memory"])) .range(["purple", "red", "blue", "green"]); const sortedData = dataCloudGPU; svg .selectAll("circle") .data(sortedData) .enter() .append("circle") .attr("cx", (d) => x(d["On-demand $"]) + margin.left) .attr( "cy", (d) => y(d["GPU / Memory"] + " / " + d["# of GPUs"] + " GPUs") + margin.top + y.bandwidth() / 2 ) .attr("r", 5) .attr("fill", (d) => color(d["GPU / Memory"])) .attr("stroke", "white") .attr("stroke-width", 1); svg .append("g") .attr("class", "x axis") .attr("transform", `translate(${margin.left},${height + margin.top})`) .call(d3.axisBottom(x).tickFormat(d3.format(".2f"))) .attr("font-size", "14px") .append("text") .attr("class", "label") .attr("x", width / 2) .attr("y", 40) .attr("fill", "#000") .attr("text-anchor", "middle") .attr("font-size", "16px") .attr("font-weight", "bold") .attr("font-family", fontFamily) .text("Price ($/hr)"); svg .selectAll("text.vendor") .data(sortedData) .enter() .append("text") .attr("class", "vendor") .attr("x", (d) => x(d["On-demand $"]) + margin.left + 10) .attr( "y", (d) => y(d.GPU + " / " + d["# of GPUs"] + " GPUs") + margin.top + y.bandwidth() / 2 + 4 ) .text((d) => d.GPU) .attr("font-size", "14px") .attr("fill", "black") .attr("font-family", fontFamily); svg .append("g") .attr("class", "y axis") .attr("transform", `translate(${margin.left},${margin.top})`) .call(d3.axisLeft(y)) .attr("font-size", "14px") .attr("font-weight", "bold") .append("text") .attr("class", "label") .attr("transform", "rotate(0)") .attr("y", -20) .attr("x", 0) .attr("fill", "#000") .attr("text-anchor", "end") .attr("font-size", "16px") .attr("font-weight", "bold") .attr("font-family", fontFamily) .text("GPU / Memory / # of GPUs"); const legend = svg .append("g") .attr("class", "legend") .attr("transform", `translate(${margin.left},${margin.top - 40})`); const legendSize = 20; const legendSpacing = 120; color.domain().forEach((key, i) => { legend .append("circle") .attr("cx", -160 + i * legendSpacing) .attr("cy", -30) .attr("r", 10) .attr("fill", color(key)); legend .append("text") .attr("x", -167 + (i * legendSpacing + legendSize + 5)) .attr("y", -25) .attr("font-size", "14px") .attr("fill", "black") .attr("font-family", fontFamily) .text(key); }); return svg.node(); }34:Tba8,dataCloudGPU=[ { "Cloud": "Azure", "GPU / Memory": "A100 / 80 GB", "# of GPUs": 1, "On-demand $": 3.67, "Throughput": 232, "Throughput/$": 63 }, { "Cloud": "Azure", "GPU / Memory": "A100 / 80 GB", "# of GPUs": 4, "On-demand $": 14.69, "Throughput": 821, "Throughput/$": 56 }, { "Cloud": "Azure", "GPU / Memory": "A100 / 80 GB", "# of GPUs": 2, "On-demand $": 7.35, "Throughput": 406, "Throughput/$": 55 }, { "Cloud": "GCP", "GPU / Memory": "A100 / 40 GB", "# of GPUs": 1, "On-demand $": 3.67, "Throughput": 179, "Throughput/$": 49 }, { "Cloud": "Azure", "GPU / Memory": "A100 / 80 GB", "# of GPUs": 8, "On-demand $": 37.18, "Throughput": "1,362", "Throughput/$": 37 }, { "Cloud": "AWS", "GPU / Memory": "A100 / 80 GB", "# of GPUs": 8, "On-demand $": 40.97, "Throughput": "1,362", "Throughput/$": 33 }, { "Cloud": "GCP", "GPU / Memory": "V100 / 16 GB", "# of GPUs": 1, "On-demand $": 2.95, "Throughput": 42, "Throughput/$": 14 }, { "Cloud": "AWS", "GPU / Memory": "V100 / 16 GB", "# of GPUs": 1, "On-demand $": 3.06, "Throughput": 42, "Throughput/$": 14 }, { "Cloud": "Azure", "GPU / Memory": "V100 / 16 GB", "# of GPUs": 1, "On-demand $": 3.06, "Throughput": 42, "Throughput/$": 14 }, { "Cloud": "GCP", "GPU / Memory": "V100 / 16 GB", "# of GPUs": 2, "On-demand $": 5.91, "Throughput": 77, "Throughput/$": 13 }, { "Cloud": "GCP", "GPU / Memory": "V100 / 16 GB", "# of GPUs": 4, "On-demand $": 11.81, "Throughput": 153, "Throughput/$": 13 }, { "Cloud": "AWS", "GPU / Memory": "V100 / 16 GB", "# of GPUs": 4, "On-demand $": 12.24, "Throughput": 153, "Throughput/$": 13 }, { "Cloud": "Azure", "GPU / Memory": "V100 / 16 GB", "# of GPUs": 2, "On-demand $": 6.12, "Throughput": 77, "Throughput/$": 13 }, { "Cloud": "Azure", "GPU / Memory": "V100 / 16 GB", "# of GPUs": 4, "On-demand $": 12.24, "Throughput": 153, "Throughput/$": 13 }, { "Cloud": "GCP", "GPU / Memory": "V100 / 16 GB", "# of GPUs": 8, "On-demand $": 23.63, "Throughput": 289, "Throughput/$": 12 }, { "Cloud": "AWS", "GPU / Memory": "V100 / 16 GB", "# of GPUs": 8, "On-demand $": 24.48, "Throughput": 289, "Throughput/$": 12 } ]35:[] 2d:{"id":"f808e43d4a95180c","slug":null,"title":"Cloud GPUs for Deep Learning: Availability& Price / 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Performance","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":38,"value":"### Lowest prices for most popular GPU models","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":18,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":167,"value":"### On-demand GPUs from big tech cloud providers","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":128,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":219,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":233,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":55,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4,"value":"gpuData = [\n { cloud: \"Azure\", gpu: \"A100 / 80 GB\", numGpus: 1, onDemandCost: 3.67, throughput: 232, throughputPerDollar: 63 },\n { cloud: \"Azure\", gpu: \"A100 / 80 GB\", numGpus: 4, onDemandCost: 14.69, throughput: 821, throughputPerDollar: 56 },\n { cloud: \"Azure\", gpu: \"A100 / 80 GB\", numGpus: 2, onDemandCost: 7.35, throughput: 406, throughputPerDollar: 55 },\n { cloud: \"GCP\", gpu: \"A100 / 40 GB\", numGpus: 1, onDemandCost: 3.67, throughput: 179, throughputPerDollar: 49 },\n { cloud: \"Azure\", gpu: \"A100 / 80 GB\", numGpus: 8, onDemandCost: 37.18, throughput: 1362, throughputPerDollar: 37 },\n { cloud: \"AWS\", gpu: \"A100 / 80 GB\", numGpus: 8, onDemandCost: 40.97, throughput: 1362, throughputPerDollar: 33 },\n];","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":20,"value":"fontFamily = \"Work Sans\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":23,"value":"dataComparison = [\n {\n Rank: 1,\n GPU: \"Nvidia L4\",\n Price: 0.38,\n Vendor: \"Seeweb\"\n },\n {\n Rank: 2,\n GPU: \"Nvidia RTX4000\",\n Price: 0.38,\n Vendor: \"Hetzner, Paperspace\"\n },\n {\n Rank: 3,\n GPU: \"AMD 7900XTX\",\n Price: 0.39,\n Vendor: \"DataCrunch\"\n },\n {\n Rank: 4,\n GPU: \"Nvidia T4G\",\n Price: 0.42,\n Vendor: \"AWS\"\n },\n {\n Rank: 5,\n GPU: \"Nvidia M4000\",\n Price: 0.45,\n Vendor: \"Paperspace\"\n },\n {\n Rank: 6,\n GPU: \"Nvidia RTX6000\",\n Price: 0.5,\n Vendor: \"Lambda Labs\"\n },\n {\n Rank: 7,\n GPU: \"Nvidia T4\",\n Price: 0.53,\n Vendor: \"Azure\"\n },\n {\n Rank: 8,\n GPU: \"Nvidia V100\",\n Price: 0.62,\n Vendor: \"DataCrunch\"\n },\n {\n Rank: 9,\n GPU: \"Nvidia H100\",\n Price: 2.49,\n Vendor: \"Lambda Labs\"\n },\n {\n Rank: 10,\n GPU: \"Nvidia A100\",\n Price: 1.29,\n Vendor: \"DataCrunch\"\n }\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":176,"value":"uniqueDataCloudGPU = dataCloudGPU.filter((value, index, self) =>\n index === self.findIndex((t) =>\n t.Cloud === value.Cloud &&\n t[\"# of GPUs\"] === value[\"# of GPUs\"] &&\n t[\"On-demand $\"] === value[\"On-demand $\"]\n )\n);","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":51,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W35","stdlib":"1","titling":"auto"}} 2e:"$2d:body"